title
stringlengths 13
210
| link
stringlengths 39
321
| snippet
stringlengths 46
163
| text
stringlengths 25
49.9k
⌀ | date
stringclasses 95
values | source
stringlengths 2
50
| imageUrl
stringlengths 534
7.74k
⌀ | position
int64 1
50
| search_keyword
stringclasses 24
values | fetch_timestamp
stringdate 2025-06-17 14:02:24
2025-06-17 14:03:31
| date_parsed
float64 |
|---|---|---|---|---|---|---|---|---|---|---|
Future of work in the age of AI
|
https://www.pwc.com/us/en/services/ai/ai-and-the-future-of-work.html
|
A seismic shift is taking place. Artificial intelligence (AI) is transforming what work means, what businesses can do and how they must organize to do it.
|
A seismic shift is taking place. Artificial intelligence (AI) is transforming what work means, what businesses can do and how they must organize to do it. You and your peers will soon have a limitless, made-to-order supply of digital labor. If you reimagine the future of work, your workforce and your workers to leverage these AI agents, you could build a competitive edge so great, your peers will never catch up. If you merely layer AI onto existing processes, you will be left behind.
At PwC, we guide C-suite leaders through this transformation. With ready-to-use frameworks and an AI agent operating system that connects and scales agents into business-ready workflows, we provide the tools to harness AI as a strategic driver of competitive advantage and long-term growth.
stat chart info
Business faces a stark choice
Organizations today will either reinvent themselves with AI or risk obsolescence. Experimenting with AI to achieve incremental gains on isolated tasks won’t be good enough—not when competitors use AI to revolutionize entire value chains.
We understand the challenges: Entrenched behaviors, operational silos and workforce skepticism can all be barriers. It’s not easy to fundamentally rethink processes, roles, and organizational dynamics. And agents built on different software platforms will not automatically work together, potentially making it hard to reinvent not just isolated tasks, but complex workflows and business processes. But AI-native competitors are embracing bold, unconstrained strategies. They’re building augmented intelligence: a combination of human creativity and AI functionality that achieves outcomes neither could accomplish alone. They’re delivering hyper-efficient workflows, real-time customer insights and more. To remain competitive, it’s critical to boldly reimagine your business and rethink the nature of work, workforce, and workers—starting today.
More than half (56%) of CEOs from PwC’s 28th Annual Global CEO Survey tell us that GenAI has resulted in efficiencies in how employees use their time, while around one-third report increased revenue (32%) and profitability (34%).
PwC’s 28th Annual Global CEO Survey
Work
Workforce
Worker
Leave your old organization behind. The future of work is human-led and agent-powered. With PwC’s agent OS, every team and function can pick the most fit-for-purpose AI agents and tools, and you can oversee and orchestrate them all across multiple platforms and environments. These new, AI-powered processes can enable every person in every part of your company to create more value—if you start to rethink workflows and value chains to deliver faster results and greater innovation with AI inside.
|
4 months ago
|
PwC
|
data:image/jpeg;base64,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
| 7 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
Superagency in the workplace: Empowering people to unlock AI’s full potential
|
https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/superagency-in-the-workplace-empowering-people-to-unlock-ais-full-potential-at-work
|
This report explores companies' technology and business readiness for AI adoption (see sidebar “About the survey”). It concludes that employees are ready for...
|
Superagency in the workplace: Empowering people to unlock AI’s full potential
January 28, 2025 | Report
By Hannah Mayer, Lareina Yee, Michael Chui, and Roger Roberts
Artificial intelligence has arrived in the workplace and has the potential to be as transformative as the steam engine was to the 19th-century Industrial Revolution. With powerful and capable large language models (LLMs) developed by Anthropic, Cohere, Google, Meta, Mistral, OpenAI, and others, we have entered a new information technology era. McKinsey research sizes the long-term AI opportunity at $4.4 trillion in added productivity growth potential from corporate use cases.
The long-term potential of AI is great, but the short-term returns are unclear. Over the next three years, 92 percent of companies plan to increase their AI investments. But while nearly all companies are investing in AI, only 1 percent of leaders call their companies “mature” on the deployment spectrum, meaning that AI is fully integrated into workflows and drives substantial business outcomes.
This research report asks a similar question: How can companies harness AI to amplify human agency and unlock new levels of creativity and productivity in the workplace? AI could drive enormous positive and disruptive change. This transformation will take some time, but leaders must not be dissuaded. Instead, they must advance boldly today to avoid becoming uncompetitive tomorrow.
The biggest barrier to scaling is not employees—who are ready—but leaders, who are not steering fast enough. Our research finds that employees are more ready for AI than their leaders imagine. In fact, they are already using AI on a regular basis; are three times more likely than leaders realize to believe that AI will replace 30 percent of their work in the next year; and are eager to gain AI skills.
The challenge of AI in the workplace is not a technology challenge. It is a business challenge that calls upon leaders to align teams, address AI headwinds, and rewire their companies for change. Companies that invest strategically can go beyond using AI to drive incremental value and instead create transformative change.
AI is becoming far more intelligent, with improved performance on standardized tests and enhanced reasoning capabilities. The advent of reasoning capabilities represents the next big leap forward for AI, allowing models to move beyond basic automation and into complex decision making.
Companies risk losing ground in the AI race if leaders do not set bold goals and navigate the complex environment of AI deployment. Business leaders must make bold and responsible decisions to prove their employees right and unlock the full potential of AI in the workplace.
|
4 months ago
|
McKinsey & Company
|
data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAkGBwgHBgkIBwgKCgkLDRYPDQwMDRsUFRAWIB0iIiAdHx8kKDQsJCYxJx8fLT0tMTU3Ojo6Iys/RD84QzQ5OjcBCgoKDQwNGg8PGjclHyU3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3N//AABEIAEIAeAMBEQACEQEDEQH/xAAbAAACAwEBAQAAAAAAAAAAAAAFBgECBAcDAP/EAEEQAAIBAwIDBQQHBAgHAAAAAAECAwAEEQUhEjFBBhNRYYEicZGhBxQyQlJyoiNiwuEVQ3OCkrHB0hYzNDU2dLT/xAAbAQACAwEBAQAAAAAAAAAAAAABBAACAwUGB//EADwRAAEDAQQGCAQDCAMAAAAAAAEAAgMRBCEx8BJBYXGBkRMiMlGhscHRBTNS4SNy8TRCYpKissLSBkSC/9oADAMBAAIRAxEAPwDqtPJZTUUUigipFBRWFRRWBoIq4qqKsOVBFKf0iS4t9Oh/HOT8B/OnLCOs4pa0HAJc7KS912j085+06r8YiP8AUUzaRWE51rCE9cLq4rjLpKwNBFWBoKL6oopqIoNTiXX1RRTQUVhURUigorigorCqoqwoI1SL9IM/FqljAN+7TvPXiFdGxNownvKVnNXUS1Y3H1W+trjl3Rhf0ymfkDTLxpMI7wsGml/cuz1wV01NRRTQRVs1FFNBRBqdWCmgopqIqRQUUigorCgorg0EVYUCiuWdqb0XXaC8mVspCOH3cKn/AGg+tdazt0Y2hIyGriUNmVmnES7M8CAeqsB88Vq3AKgwK632ev11HRLK7U57yIZ942PzFcSRmg8tT8btJoKJA1mtFbNCii+zQRqpzUUqhFOLFSKiikUFFIqFRWFBFWFBRWFBFDO0eqppWmSS8YWVgRH5bbt6DetII+kfTUs5H6Ldq5PIxNpdSvs3csSM7jj9kD0GPjXVBvqlQBTOv7LTf5S7j4c5MQA96hWA9SQPWg3shBufNNvYDV0t7qbSpnAjnPf2x6HPNfjt6DxpG2RVpIFvC7ROin8GkEypBoKVXwNRGqnNBSqFU2s6r4VFFYeVBRVaWNPtuq/mYCpQoVC8JdTsIf8Am3tunvlFERvOAQ0296zv2j0dCR9fjcjpGC5+QqwgkOpDpGd6GX3baziBWyhlmkx94cI/n8q1bZHHtGioZu4JP1S6v9Xm+s3meAdM8KjqMnoPIfM4IbYxrRotWJOtyHO8cwS2hkEi8YlupVHsIi78/D3eAFFxoKazdnPeoTS8/qVqvoppI7R0BFwYopoxnBclAGUHlxDCmrXUOwkePqqtxAGNxzxHJZ0mTiETFopEbiRR7DxN1wD08j023wDQIuvVgQcM55p00btrdQRiLUoRdKmB30R4Wx+8G2+dJSWME1YVs2ZwHWCYrXtdo9yoIuHQno0TH5gEfOl3WWUaloJmFbBr+kYGdStkzy45AufjWZhl+ko9IzvWqG+tJxmG7gk/JKp/1rMtIxCtpDvXK5u0+s5w95bQeTsn8Jz8q7IgZ9CS0z9QzuCyTdoNQY4k1eYE9IlYg+4sAPnR6No1BAOJwJPD7+i8pLu8mTMjXzj8csncr8dxVhTAeAUIpjdvKpFFNOPYRXVuuXk/UDwfOoXAY3cfQXqwjJwHgfW5ak0uSJOOd0t4/wATcEePgDn/ABUNPSubfnOpB2hGaPdTZr5C9eVzNplqmLiZpyPu7hSf72T8K0EclKuoBngsxKHXMaT4e550WCbW5CoWyto4EJwruvETjwG5OPLlVC6Nu3wC1Ecjj1zTYPf7qlnZXutXcaO0k7ybrxt08fAAeO/TGc4rB87qUGCt+HGbhfnXnkr63NbxOdH01g0MJBuph/XS9FHkp3x4jflTdkhLR0jsUo95cNI68N3enDWtOWcz2JADIF7snkGCjAPkcHNKWaXRcD3re3MIhMrcY6H/AMkCvI0PNLK30ar9X1uAzW6ng711y8DeD43I5+0N9jsd8OPhc3rQnh37lWOWOamncdRF2fLYvW47PMFSXSrniQjijVmDKR4qeR+IrBskbrnChVnMmjNaaQ2drkMd4rtohk8t7buyXcLMy7k44iPRgcD0rUxvF7bwqsmjkFWu5+/3V4dTUkmOQKfzOmPeVLD9IrLSOBWpaQLxyPv7rR9YEoJZZZANy3dx3I+C4b5VYSZqqdTAupvFFrt9Gk24bSGAHmJpy59/Cns/OszJGNZPgt2QvfeAOA0vHBbk0tLVOO4u+5Q5+wq26Hy2y36qgc5xoxnqc8Fi+eztufJpHuBr/bdzcF4tc6XbYkgt+/bpK2wz4d5Jk/CthZ5X3Pdw+wWBtuj8qMDaceQv/qKHXvah84hcD+xG/wDibf4AVcxQQirznh7qoFpnNC4+Q8KV4oRLd3lyZJHfulTaSVm+x48TE7c84zv0BqjrSTdG2g2+gTEdkii7fILNGULJ9XUuZMFZXUkv+RNiw5+02Bz2NLvJxeanPLzTIuFwoPFFNN0yW6u1t4kE966qSrniWJejSMOfkowDvwgA8Qxca45zzWDphQ6NzRifQd58tuCP9pb+DslpLWNlIX1O6B72fbi22J8NjsByyccga2s8WmdJ2Gc/qlPmv0aXDH2rrP1HgLsVXQrUtcWcLbvLIrSdftEBffjb411ZepGgXdJIeWeK6Zrvs61e4H9YfUBIzj9TV5+InoqjUu7EWC29G/svbQ7rwfMckv8AaOyIX+k4FD4AS6Xow6Mfl+k8xXYssodRh13heTbG+yWh9jkxaaDaNWeGtAba6udFYTWANxp8j+3ayHHC/UA/dfzGzDHuN5rM2bY4Z5Lq2e1aNGvvGrOo5wTRZXVhrln3tvw3ESDLxSDEkB656j8w+XKuZpSQOobvIpuazRTdc1/M3tcRg7z2obf9m4Z8vbEM34JDwt6OP4h602y0sf1ZBnPcUg+K02VvSN67Pqb6txHiNqAXWmXNrLw5IfmEnHCx9zdR61c2ZjxVh9furRW9r233g92aIxedoJVUl7mG3QnAS2AZifAuTjPuPpWrLKxt9Od3hjzScgfOfxXF++tOWA4BArjVmkdjBETJnBkmPG+emeLYHyIU+BqSWiKIUJ4YeV6ahsb3YCgzr9uS8RFc3twyyGSWQD205lR+8TjhH5sEb4zSj7RM8dXqtzgB53hOtggh6z7857l5ie3R3jtAL2dBxOUk4YIh+J5TjPpwjoc1kGBvWPM48M7itNOSQUaKDOr3URRTXsqZK3DRMF4jERBASNljixux6ZUsei49oBz76D78e7O9VqyMEjiT75CLabZzXN21hpX7S8Bxd3kuHEGejHJDybbICQMZYsRxChuN+PgEo9/SNMjzox+LvYHmdgTwyaf2K0OVuJhIq97PM7cUhJ6k9ZGOw8OewAFCKMzO2ef2CwlkeXNa0UccB9I/2I/lG0rlck8+ta0012eElgXAO0YA2QeSrn+8a7MDBXYM5+y0do2eDq8PfifBM3ZJPrPaSzOMZuYwV8ATkfJKpbXUjduPss7O29rdo86lPHaFuHXrnfASSByf7QSx/wCarXFs3y87F1bWdG1w0/eBHME+iz2xUDu5Fyh/ZOh8CCVz71yPQVrBgWawlf8AlVnLmxfEoxiKOzm8hKWpWb6LqDwCPvrWZfYRuUqfh8mG+D45HKuzE/p2VwcM/quPFK2Rmlq17NufdCru2m0+eHU9JumUMcxXAOMn8L+DdM/HI3qzmNnBa8XjEeyegtL4HaJzu9W8kzaF2ltdWP1e+4LHUFPC3F7Mbnz/AAHzGRzPPeuNPZnw4XtXZje2QiSJ2i7vGB35B8kZuIsBre8hDKNzHKoI8j4eoOM/e6VSOVzb2nO9KWix2ad/4o6KQ/vN7J3jA+B3rkiuxs45SxMjX3dlydynF9nPh5U/anGhvRga3pQ2l1y2XZMGk6i8B7t4p+7jZNii4HsjHIeVJWBoc/rCtxTs5pXetPbgC1s9OtrYCG3cAtFH7KNlcnIG3OtIesQXXkrmw3zOrqCx3oEenaQkY4EbTpJ2VdgZRyc/vefOqAkvJPcU5J2BtKMyHuNGv3g/ZtDodvJEybFHkJ7xhjkWwMnrjeqx9lxXMtXWmgacC41G7Dknb6LoYk7O6XwRovFCrNhQMklsn3nA+ArCTsFMzX22Bpwv9Us/SO7vLpKszFXv5i4J2YhwAT44G1dSAANNP4fJcuykl0jjjQ+ZSp2d/wCnkb7xiYk9SSy5roWf5fLyTFu7TRt9CnH6P/8AyHT/AM5+SjFJfEPlP3eqvZ/ms/N6FNPaj/vmp/8Ar2X/ANE1cuzdgcfRdD4pjB+b0XkxPFcb88H178D/ACq8f7Rw/wAV0fiAB+CTV/i8yh3bgD/h9Xx7SyHhbqNhyroWP9oXz/4XrG/0QfTAGXW42AMfdq3CeXF448ablukjI2ro/wDXB2jzSje7f0Y4+2ZHQt1KjkPdW0wFU9ZSdN/BdP0GR5OwrSyOzyRSoI3Y5KZKg4PTYketeZkFJrl3XND7OQ6/Ff/Z
| 8 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
AI, Automation and Workforce Transformation in 2025
|
https://www.sdcexec.com/software-technology/ai-ar/article/22935028/laserfiche-ai-automation-and-workforce-transformation-in-2025
|
The future of manufacturing will be shaped by the ability of organizations to integrate AI, ML, and automation across all aspects of their...
|
## Step 1: Extract the headline of the article.
The headline of the article is "AI, Automation and Workforce Transformation in 2025".
## Step 2: Extract the subhead of the article.
There is no clear subhead in the provided text, but the introduction serves as a subhead: "To embrace this new era of intelligent manufacturing, organizations must focus on implementing technology and fostering a culture of adaptability and continuous improvement."
## Step 3: Extract the author(s) of the article.
The author of the article is Grace Nam.
## Step 4: Extract the publication date of the article.
The publication date of the article is Apr 14, 2025.
## Step 5: Extract the main text of the article.
The main text of the article is:
In 2025, manufacturers are accelerating their adoption of advanced technologies to streamline operations, empower their workforce, and remain competitive in an increasingly digital marketplace. KPMG estimated that 50% of supply chain organizations in 2024 invested in applications that support artificial intelligence and advanced analytics capabilities.
Artificial intelligence (AI), machine learning (ML), and automation are no longer futuristic concepts but essential tools for optimizing workflows, enhancing employee satisfaction, and meeting evolving customer demands. The next phase of digital transformation in manufacturing will be defined by how well organizations integrate these technologies across their supply chains, production lines, and workforce management strategies.
## **Empowering workforce satisfaction through technology**
Workforce engagement has become as crucial as operational efficiency. The manufacturing sector continues to grapple with labor shortages, an aging workforce, and challenges in attracting younger talent. Since many organizations today are faced with the challenge of managing limited budgets, increasing headcount is not always the most effective solution. Instead, the focus is shifting toward optimizing existing resources rather than adding more personnel. Organizations that invest in automation to adopt smarter workflows can reduce costs while enhancing the quality of work for employees.
Digital transformation presents an opportunity to attract younger workers who are seeking careers with access to cutting-edge technology. By repositioning roles to leverage digital tools, companies can cultivate a more engaged workforce that values problem-solving and innovation over monotonous, manual labor.
Automation can also alleviate burnout by reducing the burden of repetitive, administrative tasks. AI-driven systems can manage inventory, process documents, and streamline communications, allowing employees to focus on strategic, high-value activities. For instance, manufacturers implementing AI-powered predictive maintenance have reported significant reductions in downtime and operational disruptions.
## **Beyond the factory floor: Automation as a competitive differentiator**
Historically, automation has been synonymous with robotics and production-line efficiency. However, automation is extending beyond the factory floor and into every facet of manufacturing, from procurement and contract management to logistics and compliance.
The integration of AI and ML into back-office functions is revolutionizing data management. AI-powered analytics can structure large volumes of metadata, improving decision-making and reducing human error. Machine learning algorithms can detect inefficiencies in supply chain operations, predicting potential disruptions before they escalate into costly delays. According to a report by PwC, businesses that integrate AI into supply chain management can reduce forecasting errors by up to 50%.
Seamless platform integrations are enhancing AI-driven automation. Cloud-based systems are increasingly allowing manufacturers to synchronize real-time data across departments, improving coordination between production, inventory management, and distribution channels. This level of digital connectivity is proving to be a game-changer for manufacturers seeking to enhance agility and scalability in uncertain economic conditions.
## **Customer service and compliance: The new market differentiators**
In the digital era, customer expectations are higher than ever, and regulatory requirements are becoming more stringent. The ability to efficiently access and leverage data will be a key determinant of market success. Organizations must refine their processes to deliver superior customer service while ensuring compliance with evolving quality and regulatory standards.
AI-powered chatbots and virtual assistants are transforming customer service in manufacturing, enabling real-time responses to inquiries and personalized support. These technologies ensure that customers receive accurate information without the delays associated with manual processes. Additionally, manufacturers are leveraging AI-driven insights to proactively address potential product defects, improving customer satisfaction and brand loyalty.
From a compliance standpoint, digital document control systems are becoming a necessity. AI can facilitate real-time tracking of compliance data, automatically flagging potential issues and ensuring that companies adhere to reporting regulations. Enhanced integration efforts will play a crucial role in fostering a secure and reliable operational ecosystem where compliance is not an afterthought but a built-in feature of daily operations.
## **Scaling supply chain for agility and resilience**
While many manufacturers have digitized their production lines, supply chain processes have often lagged behind. In the years ahead, the ability to scale supply chain operations effectively will be a defining factor in business resilience and competitiveness.
Advanced analytics and AI-driven automation are helping organizations streamline procurement, supplier evaluation, logistics, and shipping. For example, predictive analytics can anticipate supply chain disruptions and recommend alternative suppliers or shipping routes to mitigate risks. This proactive approach reduces operational downtime and enhances overall efficiency.
AI-enhanced contract management tools are also ensuring greater transparency and accuracy in supplier agreements. Automated contract analysis can identify inconsistencies or potential compliance risks, minimizing legal and financial vulnerabilities. Organizations that invest in these digital solutions will achieve higher returns on investment through improved efficiency and stronger information governance.
## **The road ahead**
The future of manufacturing will be shaped by the ability of organizations to integrate AI, ML, and automation across all aspects of their operations. The benefits extend beyond cost savings—these technologies are fostering a more engaged workforce, driving efficiencies, and enhancing customer experiences. Companies that prioritize digital transformation will be well-positioned to navigate workforce challenges, regulatory complexities, and supply chain disruptions while maintaining a competitive edge.
As we embrace this new era of intelligent manufacturing, organizations must focus not only on implementing technology but also on fostering a culture of adaptability and continuous improvement. The manufacturers that succeed will be those that see digital transformation not as a project with an endpoint but as an ongoing journey toward innovation and resilience.
The final answer is:
AI, Automation and Workforce Transformation in 2025
To embrace this new era of intelligent manufacturing, organizations must focus on implementing technology and fostering a culture of adaptability and continuous improvement.
Grace Nam
Apr 14, 2025
In 2025, manufacturers are accelerating their adoption of advanced technologies to streamline operations, empower their workforce, and remain competitive in an increasingly digital marketplace. KPMG estimated that 50% of supply chain organizations in 2024 invested in applications that support artificial intelligence and advanced analytics capabilities.
Artificial intelligence (AI), machine learning (ML), and automation are no longer futuristic concepts but essential tools for optimizing workflows, enhancing employee satisfaction, and meeting evolving customer demands. The next phase of digital transformation in manufacturing will be defined by how well organizations integrate these technologies across their supply chains, production lines, and workforce management strategies.
## **Empowering workforce satisfaction through technology**
Workforce engagement has become as crucial as operational efficiency. The manufacturing sector continues to grapple with labor shortages, an aging workforce, and challenges in attracting younger talent. Since many organizations today are faced with the challenge of managing limited budgets, increasing headcount is not always the most effective solution. Instead, the focus is shifting toward optimizing existing resources rather than adding more personnel. Organizations that invest in automation to adopt smarter workflows can reduce costs while enhancing the quality of work for employees.
Digital transformation presents an opportunity to attract younger workers who are seeking careers with access to cutting-edge technology. By repositioning roles to leverage digital tools, companies can cultivate a more engaged workforce that values problem-solving and innovation over monotonous, manual labor.
Automation can also alleviate burnout by reducing the burden of repetitive, administrative tasks. AI-driven systems can manage inventory, process documents, and streamline communications, allowing employees to focus on strategic, high-value activities. For instance, manufacturers implementing AI-powered predictive maintenance have reported significant reductions in downtime and operational disruptions.
## **Beyond the factory floor: Automation as a competitive differentiator**
Historically, automation has been synonymous with robotics and production-line efficiency. However, automation is extending beyond the factory floor and into every facet of manufacturing, from procurement and contract management to logistics and compliance.
The integration of AI and ML into back-office functions is revolutionizing data management. AI-powered analytics can structure large volumes of metadata, improving decision-making and reducing human error. Machine learning algorithms can detect inefficiencies in supply chain operations, predicting potential disruptions before they escalate into costly delays. According to a report by PwC, businesses that integrate AI into supply chain management can reduce forecasting errors by up to 50%.
Seamless platform integrations are enhancing AI-driven automation. Cloud-based systems are increasingly allowing manufacturers to synchronize real-time data across departments, improving coordination between production, inventory management, and distribution channels. This level of digital connectivity is proving to be a game-changer for manufacturers seeking to enhance agility and scalability in uncertain economic conditions.
## **Customer service and compliance: The new market differentiators**
In the digital era, customer expectations are higher than ever, and regulatory requirements are becoming more stringent. The ability to efficiently access and leverage data will be a key determinant of market success. Organizations must refine their processes to deliver superior customer service while ensuring compliance with evolving quality and regulatory standards.
AI-powered chatbots and virtual assistants are transforming customer service in manufacturing, enabling real-time responses to inquiries and personalized support. These technologies ensure that customers receive accurate information without the delays associated with manual processes. Additionally, manufacturers are leveraging AI-driven insights to proactively address potential product defects, improving customer satisfaction and brand loyalty.
From a compliance standpoint, digital document control systems are becoming a necessity. AI can facilitate real-time tracking of compliance data, automatically flagging potential issues and ensuring that companies adhere to reporting regulations. Enhanced integration efforts will play a crucial role in fostering a secure and reliable operational ecosystem where compliance is not an afterthought but a built-in feature of daily operations.
## **Scaling supply chain for agility and resilience**
While many manufacturers have digitized their production lines, supply chain processes have often lagged behind. In the years ahead, the ability to scale supply chain operations effectively will be a defining factor in business resilience and competitiveness.
Advanced analytics and AI-driven automation are helping organizations streamline procurement, supplier evaluation, logistics, and shipping. For example, predictive analytics can anticipate supply chain disruptions and recommend alternative suppliers or shipping routes to mitigate risks. This proactive approach reduces operational downtime and enhances overall efficiency.
AI-enhanced contract management tools are also ensuring greater transparency and accuracy in supplier agreements. Automated contract analysis can identify inconsistencies or potential compliance risks, minimizing legal and financial vulnerabilities. Organizations that invest in these digital solutions will achieve higher returns on investment through improved efficiency and stronger information governance.
## **The road ahead**
The future of manufacturing will be shaped by the ability of organizations to integrate AI, ML, and automation across all aspects of their operations. The benefits extend beyond cost savings—these technologies are fostering a more engaged workforce, driving efficiencies, and enhancing customer experiences. Companies that prioritize digital transformation will be well-positioned to navigate workforce challenges, regulatory complexities, and supply chain disruptions while maintaining a competitive edge.
As we embrace this new era of intelligent manufacturing, organizations must focus not only on implementing technology but also on fostering a culture of adaptability and continuous improvement. The manufacturers that succeed will be those that see digital transformation not as a project with an endpoint but as an ongoing journey toward innovation and resilience.
|
2 months ago
|
Supply & Demand Chain Executive
|
data:image/jpeg;base64,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
| 9 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
Meta Platforms (META) Touts AI Skills as Key to Wage Growth, Eyes Bigger Role in Workforce Transformation
|
https://www.msn.com/en-us/money/other/meta-platforms-meta-touts-ai-skills-as-key-to-wage-growth-eyes-bigger-role-in-workforce-transformation/ar-AA1G5Yna
|
We recently published a list of 10 AI Stocks on Wall Street's Radar. In this article, we are going to take a look at where Meta Platforms,...
|
Meta Platforms: Meta touts AI skills as key to wage growth, eyes bigger role in workforce transformation
By Reuters
June 15, 2024
Meta Platforms Inc on Thursday announced a new initiative to teach artificial intelligence skills to workers, aiming to help them switch to better-paying jobs and reduce income inequality.
The move is part of the company's broader effort to play a bigger role in workforce transformation, an area where it sees significant growth potential.
The social media giant, which has faced criticism over the impact of its products on society, said it would offer free online courses and certification programs in areas such as machine learning and data science.
The programs will be designed to help workers develop skills that are in high demand by employers, Meta said, adding that it would also provide resources to help them find job openings.
The company did not disclose how much it would invest in the initiative, but said it would work with a range of partners, including educational institutions and non-profit organizations.
The move is the latest example of a big tech company seeking to play a more active role in addressing social and economic issues, amid growing scrutiny from regulators and the public.
Meta's initiative comes as the company faces intense competition for talent in the tech industry, where skilled workers are in short supply.
The company said its programs would be open to anyone, regardless of their background or experience, and would be designed to help workers at all levels of their careers.
Meta's announcement was welcomed by educators and workforce development experts, who said it could help address the growing skills gap in the tech industry.
However, some critics said the company's move was insufficient, and that it needed to do more to address the negative impacts of its products on society.
Meta said it would continue to work with partners to develop new programs and resources to support workers, and that it would evaluate the effectiveness of its initiatives to ensure they were having a positive impact.
|
2 weeks ago
|
MSN
|
data:image/jpeg;base64,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
| 10 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
Workday Research: Millennials Lead AI Skills Transformation
|
https://technologymagazine.com/articles/workday-research-millennials-lead-ai-skills-transformation
|
Workday data highlights a generational split on workforce transformation priorities while business leaders align on digital skills...
|
Workday Research: Millennials Lead AI Skills Transformation
By Marcus Law
May 27, 2025
6 mins
Millennial leaders are emerging as the primary advocates for skills-based hiring strategies, with 92% viewing such approaches as critical for economic growth, compared to 76% of Generation X leaders, according to new research from Workday.
The analysis, drawn from The Global State of Skills research and presented at Workday Elevate London, surveyed business leaders about workforce transformation priorities. The event attracted more than 1,000 participants examining how skills-based talent strategies and AI innovation are changing workplace dynamics.
The research reveals 60% of millennial leaders aged 28-43 express concern about skills shortages emerging within three years, whilst 47% of Generation X leaders aged 44-59 share similar concerns. However, the response strategies differ between the generations, with millennials taking more proactive positions on transformation initiatives.
Both generational cohorts identify digital skills, including digital literacy and generative AI capabilities, as priorities for achieving organisational objectives over the next five years. The alignment ends there, with Generation X leaders emphasising operational and specialist skills such as project management and engineering, while millennial leaders prioritise human skills including leadership and communication.
The generational divide extends to specific workforce challenges. Millennial leaders see skills-based approaches as solutions for closing productivity gaps, with 89% supporting this view compared to 72% of Generation X leaders. Similarly, 74% of millennial leaders believe such strategies can reduce unemployment, whilst only 55% of Generation X leaders share this perspective.
Regarding diversity and inclusion, 82% of millennial leaders connect skills-based hiring to increased workplace diversity, compared to 67% of Generation X leaders. Access to opportunities shows a smaller gap, with 89% of millennial leaders and 78% of Generation X leaders seeing skills-based strategies as equalising factors.
Daniel Pell, Vice President and Country Manager, UKI, Workday, says: “The UK faces a pivotal challenge: our workforce models are lagging behind the pace of technological change. To compete in an AI-driven economy, businesses must rethink how they identify and develop skills.”
Both generational groups recognise AI as an enabler for skills-based organisational transformation through task automation, data-driven decision support and future skills gap prediction. However, implementation clarity differs significantly between the groups.
Key facts:
* 92% of millennial leaders view skills-based talent development as critical for economic growth, compared to 76% of Generation X leaders
* 60% of millennial leaders express concern about skills shortages emerging within the next three years
* 34% of millennial leaders report their organisations lack clarity on using AI for talent challenges, versus 14% of Generation X leaders
Millennial leaders report greater uncertainty about AI deployment, with 34% stating their organisations lack clarity on using AI for talent challenges. In contrast, only 14% of Generation X leaders express similar uncertainty about AI implementation strategies.
Despite implementation challenges, adoption progress appears widespread. The research indicates 92% of millennial leaders and 86% of Generation X leaders believe their organisations are successfully transitioning to skills-based models. Additionally, 90% of millennial leaders and 83% of Generation X leaders support hiring based on validated skills profiles.
Workday recently announced new Illuminate Agents designed to accelerate hiring processes, improve frontline worker experiences, streamline financial processes, and enable rapid information access. These developments reflect the company's focus on practical AI applications for workforce challenges.
The transformation requirements extend beyond individual organisations to entire industries. Paul O’Sullivan, SVP Solution Engineering and UKI CTO, Salesforce, says: “Agentic AI is ushering in a new world of digital labour, where you can scale and transform with autonomous agents whilst augmenting the workforce. This represents a unique opportunity to unlock new levels of productivity, autonomy, and speed only if leaders and workers reskill and upskill.”
Prasun Shah, Global CTO & AI Lead, Workforce Consulting, PwC, says: “Skills are now a strategic asset, not a side conversation. Successful AI adoption depends on an organisation's ability to reskill at scale, align workforce strategies with business goals, and design work where people and AI complement each other.”
The research suggests organisations must navigate generational differences whilst implementing skills-based strategies. As industries face AI-driven transformation, workforce evolution becomes a parallel requirement rather than a secondary consideration.
Daniel says: “This is not a question of technology alone, it is a question of leadership, agility and long-term competitiveness. The organisations that succeed will be those that treat workforce transformation as a strategic priority, ensuring both people and AI can work effectively together.”
Prasun says: “Leaders who approach AI and workforce transformation as a single, integrated journey will have an advantage in creating lasting competitive advantage.”
|
3 weeks ago
|
Technology Magazine
|
data:image/jpeg;base64,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
| 11 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
Workday Leads the Future of AI Agent Management and Workforce Transformation | Cloud Wars Live
|
https://cloudwars.com/ai/workday-leads-the-future-of-ai-agent-management-and-workforce-transformation-cloud-wars-live/
|
It provides structure and governance to what could otherwise become a chaotic sprawl of AI agents. By embedding agent management into existing...
|
Workday Leads the Future of AI Agent Management and Workforce Transformation | Cloud Wars Live
By Cloud Wars Live
May 27, 2025
Updated: May 30, 2025
2 Mins Read
In this episode, Bob Evans sits down with Shane Luke, VP of AI and Machine Learning, Workday, and Ali Fuller, Senior Vice President of Experience, Workday, to discuss how organizations are navigating the rapid rise of GenAI and software implementation. The conversation dives into Workday’s innovative Agent System of Record, designed to manage digital agents as seamlessly as human employees, and introduces the company’s pragmatic three-phase customer framework.
Assist, Accelerate, Transform
The Big Themes:
* Workday’s Agent System of Record: Workday’s Agent System of Record manages the emerging digital agent ecosystem. It provides structure and governance to what could otherwise become a chaotic sprawl of AI agents. By embedding agent management into existing organizational hierarchies, Workday ensures that agents become a structured extension of the workforce rather than a disconnected experiment.
* Shift Toward Role-Based Agents: Workday is designing agents to reflect the roles and responsibilities of human workers. Rather than focusing narrowly on task or function-specific agents, Workday emphasizes role-based agents that closely align to actual jobs within an organization. Examples include payroll agents, financial audit agents, employee self-service agents, and recruiting agents.
* Three-Phase Customer Framework: To ease customer adoption, Workday has a three-step framework: Assist → Accelerate → Transform. The assist phase focuses on basic productivity improvements, giving employees relief from repetitive, low-value tasks. Then, companies enter the accelerate phase, expanding the use of agents to drive more meaningful efficiencies and process optimization. The final transform phase represents the full reimagining of work processes with human-agent collaboration at the core.
The Big Quote: “A mindset shift for us as AI developers is we made AI as features to solve problems, and now we’re thinking a lot about AI as a group of skills.”
|
3 weeks ago
|
Cloud Wars
|
data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAkGBwgHBgkIBwgKCgkLDRYPDQwMDRsUFRAWIB0iIiAdHx8kKDQsJCYxJx8fLT0tMTU3Ojo6Iys/RD84QzQ5OjcBCgoKDQwNGg8PGjclHyU3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3N//AABEIAEIAeAMBIgACEQEDEQH/xAAbAAABBQEBAAAAAAAAAAAAAAAGAAMEBQcCAf/EAEEQAAIBAwMBBgMFBAUNAAAAAAECAwAEEQUhMRIGE0FRYXEUIjIHgaGxwSMzkdEVNOHw8RYkJjVCQ0RScoOSssL/xAAbAQACAwEBAQAAAAAAAAAAAAABAgMEBQAGB//EACgRAAICAQIEBQUAAAAAAAAAAAABAgMREjEEITNBBRMyccEGImGBsf/aAAwDAQACEQMRAD8AK30azkB7yEHO5yT/ADqi1LSy9zILSP5UwAoorsNCjvbSK67juxIMoj7nHmfKpcnZq3ZOmR2Hj+zOMVQhW1zbJVHJnstvLGkaSwPHuSCw544qPJHRvremNFZMiqZlT5sNsfU5oRuoxEecrjPsKaSwLKDjuRoUAYr571JQYODUcbHans53FRMXBJUgV7sx3FRgxpwS4oHYHi3QONqXXmmxLkU24I3U59K47A6WpmR/nUCm+s1x1ZYmmQB122qPIc7DmusM3oPOvDgCiEb6dsnnyryuZHA8a9ohwbbG4SJc7DGAKhvedVwYe7AOMgg5zTrXMSwhZunHHzDNQre402FmW3MMb4yFGF288eVSlqMGuxzdzxspjDqX4xQN2kEdlFCqDLOxIUHfpz4e1FsdqTB30E6rG/1qyggnzB5FCmpww6hqlmZJVJt2ACbfN82d6WTSXM630lDHIJPmiYEDkeXuPCryxsJHs3leJ+k/QwXIYe9VLaXlzJBdxCTJI6nAxnw9qLNHuVi0mOylMTz94W6o5BhvuzzVdyWCukUD6fc9RCQsRSGl3pO0D/hRPDMkjFAV6sgfKwbn0H31zfzvYBHkJdMYYlenFBZayh1XJrIOrpV9j9yfwrptLvg2O5I++iizuO+dY0eNm4wGB/KpE8VwoclAAnO/HvtS+YLoYG/0TenfugfTP9leR6TchOoxb84zRjpqLcv0vJCgxz3mc/hXS2Uju6RHq6QfpptTxkCgA01leIN4TvxuN/xqLLa3gH9VY/8AcT+dEmpsYQxUGR1IULuck7AZ96r27M9pJF+KmSM5Ge5huMMPwA/GnhmQyrYPy294D/V2/wDNf50q5nv2huXtrgskifUsikMPcUqZpoDi0a9PCJwSAGbyPFU2ry3HwzLd6csqD/dxuDkceIFRex/bWy1O3UyyKs3QBJGTuD5+1Wd/qGmgmR5E6V32/lVhwaeCeNiZW391JZ6cCoMKMP3Zxke1B+k9orSfVGW6/ZMJAVIwwby4FVutdq31LVJ0UA2jDpiA/vwaidltMMF78eY5pGt1MgiC+B+XOSPDOcbemaNvDyivvRBO9TeEF9rKWiE/X+zK8dIzzzmraOC5KxXNjqAhfvQvdvEMDfY9XjQpBb3a6KLa0t71+pdnk+pfPfxp6+7SR2Hczlo+oO2bQMe8JG3zbYXctsTwMjmqc+Hk/SGE455hTe2DxhX1ZzMkmenuSOeR4Dfnbequ/TShH+0hnDQw4j65C2dyfH19jQrddrptcnt4tQPw1ooIHck/XwrNnyx7bmvdbt7kab8VrGo/EW7grb9PSBL7Y5/SpK6pQioy3LCsi02gzS71DTZ1EupL0mQIqrCDueNwv41ZT/0nc20ssepAZO69C7b/AOFY5cdpr6401rR5M9agFhj5uMk7Z4FEum9ptYm06FYrVHKBV7zuiR0gAc53Odzv6YpJcNYuZArMhbYvqEUazSX/AF94pVVMYHSdwD+FTrQ6iCf8/XcEYK45232oNsdYvpJBA9ozRx5J7uM9e/nvjk/pTM2uXiO62zuGEmESRVAxk8+O21d5TOTLvUkvbftNpUVxMLgSO8gI/wCYKdvDfijOK61Q2hK2cImV8d00o3X38D6Vkut9prnvtOLxFjbHqldOXfxA8AMUeadqWmyW4ka7dOtf3bnff0I3PrzUkY6UXK4NxB/7WNOnmhtdUjjENxArCZU+bC8jJHlv/GlUD7QdWuUjis4GlWCaNy2TkuBjAOd8Z/vilU0dhLI4ZmEd1LG3UjMjjxGxFSJtZ1G5iMM95M8Z2Kluffzri9tulO9H1A/N61xYR9c4JGy7kflW5Ph2rNLMdXLTqRcWBAhSR+cePOaO+x/aG9hnismdpYJSEVC30EkYwf0oFgiJy7H0A8quNKuGtbqOZPqiZWGfMHNajoU69MkZ3mtTymajqcdxp2i3d5I6iREd8DcBiTgZ9yKxS6kaSQl2JZjkknJJ8a2f7Q7kL2VfpyBPIi4Pv1f/ADWIX0oV1fOADvisFQNLJ1gZOQN/SuSqsOBtwPKmvikZsLXSvtvStBTOsCiz7PNcvtP1eOys176O7cI8JbG/mCdgcfx48qDnmC5ztipWiXzWd7DeQnLwyrInqQc/pQcU+QyyaZ2y1Ka27XQKqsc2nQflzjLZ/SpGoR28HcCK3gWcgyGZEAY8jn13qs7Z388eoWl7p9wQt7aghukHqAJI59GFciVrlWbrz8uAM8Cqd608je8FoVt2qXZEa7s/jZGWZwUbwPJHJokg03ps7d41BAUDHlVLaMWhTPLY/KtGvNPEOm2s8PjGiuo88YzUEYNmx4o4Q0ruzLe0NtNPqEskrtmLpWPxAGMkY8cmvKv9YtjDfTxTAFgRn71B/WlQbkngevw+myuMvwZ/r0MSabIUjRTgbhQKodJ/2/elSr18etE+dT6bLqPge1P2/wBf3/pXlKtB7GctzSPtQJ/yftxn/iz+TViuo/Q/tSpV5vsbPci2e6knnIqeOaVKoxu5HvPp/jSsfoWvaVAliG/aQ/6M9nD4/Dyb/etWWnb2kZPOBXtKqfFbnpfp/eXt8jlhynufzNbJCAbaIEAjpFe0qWok+oN6/wB/BnHaj/Xd5/1j/wBRSpUqhn6mbPCdCHsv4f/Z
| 12 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
Siemens Chooses YXT.com's AI Platform to Transform 350,000 Workers into Digital-First Workforce
|
https://www.stocktitan.net/news/YXT/yxt-com-s-ai-learning-platform-deployed-by-siemens-for-digital-1joeg4uuzq8p.html
|
New AI-powered Radnova platform integrates with Siemens' systems to deliver personalized training paths and microlearning features.
|
YXT.com's AI Learning Platform Deployed by Siemens for Digital Workforce Transformation
Headline: YXT.com's AI Learning Platform Deployed by Siemens for Digital Workforce Transformation
Subhead: Siemens has successfully implemented YXT.com's AI-powered Radnova Learning Platform in China to support workforce training during its transformation into a "One Tech Company."
Authors: Not specified
Publication Date: June 09, 2025
Main Text: YXT.com Group Holding Limited (NASDAQ: YXT) announced that Siemens has successfully implemented its AI-powered Radnova Learning Platform in China to support workforce training during Siemens' transformation into a "One Tech Company." The platform seamlessly integrates with Siemens' existing systems and provides comprehensive learning resources, including video courses, online seminars, and interactive tools. YXT.com's AI-driven solutions facilitate personalized learning paths for blue-collar workers while enabling collaborative discussions. The platform features microlearning and mentorship capabilities, allowing for quick course creation on topics like safety and sustainability. The partnership validates YXT.com's strategy of targeting large industrial enterprises undergoing digital transformations, with the company already serving thousands of enterprise clients in the manufacturing sector.
YXT.com's AI-powered Radnova Learning Platform has been successfully deployed by Siemens in China to address workforce training challenges as the company transforms into a "One Tech Company." The platform delivers seamless data integration with Siemens' proprietary learning management systems, eliminating data silos while providing access to diverse learning resources. YXT.com's AI-driven training solutions have proven instrumental across all phases of learning program development, enabling personalized learning paths tailored to blue-collar workers' specific roles and skill levels. The platform provides specialized microlearning and mentorship features that enhance operational effectiveness by enabling rapid creation and sharing of courses on critical topics like safety and sustainability.
|
1 week ago
|
Stock Titan
|
data:image/png;base64,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
| 13 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
Cisco Unveils Secure Network Architecture to Accelerate Workplace AI Transformation
|
https://newsroom.cisco.com/c/r/newsroom/en/us/a/y2025/m06/cisco-unveils-secure-network-architecture-to-accelerate-workplace-ai-transformation.html
|
Cisco (NASDAQ: CSCO) today unveiled a new network architecture to power the campus, branch, and industrial networks of the future.
|
Cisco Unveils Secure Network Architecture to Accelerate Workplace AI Transformation
June 10, 2025
Radically simplifies network operations, delivers exponential performance with next-generation devices and fuses security into the network
News Summary:
* Cisco’s new secure network architecture addresses the urgent challenges for enterprises in the AI era: explosive network traffic, mission-critical uptime requirements, and intensifying security threats.
* New AI-powered management capabilities, next-gen high-capacity and low-latency network devices, and a quantum-resistant security model simplify complex IT and OT operations and enhance workforce productivity.
* Cisco's unified management platform manages the AI-ready network securely and with simplicity, empowering enterprises to confidently adopt and scale AI solutions, giving them a competitive edge.
CISCO LIVE, SAN DIEGO, Calif., June 10, 2025 – Cisco (NASDAQ: CSCO) today unveiled a new network architecture to power the campus, branch, and industrial networks of the future. The new architecture delivers unmatched operational simplicity through unified management, next-generation networking devices purpose-built for AI workloads, and advanced security capabilities embedded into the network.
Cisco is setting a new standard for how organizations navigate the challenges of skyrocketing traffic, rising cyber threats, and critical uptime requirements created as enterprises rush to harness the potential of AI in the workplace. According to the Cisco IT Networking Leader Survey, 97% of businesses believe they need to upgrade their networks to make AI and IoT initiatives successful, and the stakes are high: a single severe outage can inflict nearly $160 billion in losses globally. Faced with these challenges, IT teams need a new approach to scale operations, reduce downtime, and unlock new levels of efficiency and innovation.
“As AI transforms work, it fuels explosive traffic growth across campus, branch, and industrial networks, overwhelming IT teams with complexity and novel security risks at a time when downtime has never been more costly,” said Jeetu Patel, President and Chief Product Officer, Cisco. “With a new architecture, breakthrough devices optimized for AI, and AgenticOps, we’re leapfrogging the industry and reimagining how networks are managed and secured.”
|
1 week ago
|
Cisco Newsroom
|
data:image/jpeg;base64,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
| 14 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
Udemy Launches New AI Fluency Packages to Accelerate Workforce Transformation
|
https://www.joplinglobe.com/region/national_business/udemy-launches-new-ai-fluency-packages-to-accelerate-workforce-transformation/article_9cc64104-41b4-5a97-9a60-aeba12daddde.html
|
SAN FRANCISCO--(BUSINESS WIRE)--Jun 12, 2025--. Udemy (Nasdaq: UDMY), a leading AI-powered skills development platform, today announced a...
|
Udemy Launches New AI Fluency Packages to Accelerate Workforce Transformation
Business Wire
Jun 12, 2025
Copyright Business Wire 2025
Udemy Launches New AI Fluency Packages to Accelerate Workforce Transformation
2 min to read
|
4 days ago
|
The Joplin Globe
|
data:image/jpeg;base64,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
| 15 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
Agentic AI Is Already Changing the Workforce
|
https://hbr.org/2025/05/agentic-ai-is-already-changing-the-workforce
|
AI agents are fast becoming much more than just sidekicks for human workers. They're becoming digital teammates—an emerging category of...
|
Agentic AI Is Already Changing the Workforce
by Jen Stave, Ryan Kurt, and John Winsor
May 22, 2025
AI agents are fast becoming much more than just sidekicks for human workers. They’re becoming digital teammates—an emerging category of talent. To get the most out of these new teammates, leaders in HR and procurement...more
As AI matures, the availability of so-called “digital labor” is exploding, expanding the very definition of a qualified workforce. What was once the exclusive domain of human talent has now been joined by AI agents capable of handling many tasks once considered beyond the reach of automation—and as a result, according to Salesforce CEO Marc Benioff, the total addressable market for digital labor could soon reach the trillions of dollars.
This requires a major shift in outlook. Emerging research out of Harvard Business School and the Digital Data Design Institute shows that AI agents are fast becoming much more than just sidekicks for human workers. They’re becoming digital teammates—an emerging category of talent. To get the most out of these new teammates, leaders in HR and procurement will need to start developing an operational playbook for integrating them into hybrid teams and a workforce strategy. Those who take the time to do so will unlock not just efficiency but a more scalable and resilient form of collaboration.
It’s already happening: Deloitte, for example, reports that it in the process of applying AI agents to “every” enterprise process, including a marketing agent that orchestrates many tasks focused on optimizing their customers’ journeys through their site. And some talent firms, among them rPotential (a spin-off from global staffing giant, Adecco) have reimagined themselves as not just providers of human talent but also architects of a broader model that includes both people and AI.
To succeed in this new environment, your organization must actively shape how AI is integrated into its labor strategy. Leaders in HR and procurement who act now will retain control over how AI is sourced, structured, and regulated in the enterprise, whereas those who hesitate risk missing out on new growth opportunities—or, worse, being blindsided by compliance, ethics, and performance issues they never saw coming. This is a general strategic concern when it comes to anything disruptive: You can no longer ignore new technologies, especially AI, hoping they’ll go away. You have to be deeply engaged with building your systems so that you deeply understand how you need to adapt as the world changes.
Firms that delay will also struggle to attract top human talent, as more candidates will expect smart, AI-supported workflows that enhance their productivity and creativity. Meanwhile, faster-moving competitors will embed AI directly into their operating models, enabling them to out scale and outlearn by increasing output without adding headcount. In addition, as large enterprise and government buyers begin to demand robust, auditable AI policies and governance frameworks, organizations that lack maturity in these areas will find themselves at a disadvantage, potentially losing out on critical contracts and partnerships. Inaction, therefore, is not just a missed opportunity—it’s a tangible business risk.
Seven Critical Actions
Drawing on our collective experience within data science and AI, and in the open-talent and staffing ecosystem, we’ve devised framework to help you get started—a guide to help HR and procurement teams design, test, and scale a new kind of workforce strategy based on the idea of human-AI teams.
Map work tasks and outcomes.
The objective here is to deconstruct each role or project into its component tasks and outcomes. Just as you would define competencies for human candidates, you need to identify the tasks that can be better, faster, or more cost-effectively handled by AI agents. For instance, high-volume data validation or repetitive call-center functions might be prime candidates for AI. Meanwhile, tasks requiring complex judgment, persuasion, or deep domain expertise may still lean on human insight—or a hybrid approach. The key thing to remember is that you’re not just “buying labor” anymore. You’re buying an outcome that might come from a combination of people and AI. So, start each sourcing discussion with a nuanced breakdown of tasks, so you can tailor the right mix of talent.
Assess AI capability.
It’s vital to understand which AI models and platforms align best with your specific tasks and workflows. To do that, build an internal taxonomy of AI capabilities that map to your common roles not only in, say, data validation or call-center functions but also other roles, including marketing analyst, customer-support rep, scheduling coordinator, and so on. Language models might excel at drafting marketing copy, but specialized computer-vision agents might be best for quality checks in manufacturing. By creating a capabilities “catalogue,” you can avoid a one-size-fits-all approach. In procurement terms, this is your RFP for AI solutions. Know which models solve which problems, and partner with staffing or technology vendors that can prove domain expertise. This ensures you’re not paying top dollar for AI hype that may not match the actual needs of the business.
Integrate your hybrid team.
If you want AI agents and human teams to work well together, you need crystal-clear role boundaries. So, develop a hybrid-workforce strategy in which you define which tasks AI will own, which tasks people will own, and how the escalation of problems should happen. For example, if an AI customer-service agent receives a complaint about a complex billing dispute that concerns an amount above a certain dollar threshold, a rule might automatically route it to a human specialist. By documenting roles, protocols, and “hand-off” points when responsibilities shift in a workflow from one party to another, you build trust across your organization, preventing conflict or duplication.
Redesign your business (and workforce) model.
This requires envisioning new ways to procure and deploy talent, including full-time employees, temporary hires, freelancers, and AI. To do that, you’ll need to consider multi-tiered models such as _client-owned digital labor_ (you license or build your own AI solutions, effectively bringing “digital employees” in-house); _leased digital labor_ (you “rent” AI agents from a third party, in a manner akin to traditional temp staffing); and _fully outsourced AI subdepartments_ (you partner with a vendor that runs entire processes, such as order fulfillment or call centers, using both AI and a small team of human experts). Align these models with your financial, compliance, and strategic needs. For instance, leasing AI might be ideal for seasonal spikes, whereas fully outsourced solutions could be more efficient for repetitive but critical functions. Keep in mind that your role is to integrate and manage a wide spectrum of labor types, which will require developing new KPIs and cost structures that reflect digital labor’s unique economics (scalability, near-constant uptime, quick retraining) compared to human labor.
Set legal and ethical ground rules.
The point here is to proactively address bias, liability, data governance, and broader societal implications of AI-led work. To do that, you’ll need to collaborate with legal, compliance, and ethics teams to draft enterprise-wide standards for AI usage. These policies should define whether and how AI learns from proprietary data, how to detect and remedy bias, and how to safeguard personal or sensitive information. If your enterprise is global, anticipate a patchwork of regulations in different jurisdictions. This is important: Ethical missteps—like discriminatory hiring algorithms or data misuse—can ignite PR crises and create regulatory liabilities. Many governments are moving quickly on AI legislation. Firms that proactively create frameworks and foster AI culture early will be able to adjust and react to future legislation much better than firms who wait and are forced to start the process after any legislation.
Capture value continuously as it evolves.
To do this properly, you’ll need to constantly monitor performance, measure outcomes, and refine your AI-human mix. Think beyond a one-time AI deployment. Establish feedback loops that measure performance, update AI training data, and revise your sourcing strategies. For instance, if your AI-based scheduling tool frequently encounters edge cases requiring human intervention, you may need more advanced AI training or more robust human oversight. Traditional “set it and forget it” approaches to staffing don’t apply here. AI’s value compounds over time as it learns from interactions. Negotiate contractual agreements that let you capture improvements while also respecting the intellectual property (IP) rights of your vendor or the data sovereignty of your enterprise.
Remain human-centric.
AI reduces the need for people to conduct mundane tasks _and_ elevates the importance of high-value, human-led tasks. Ensuring that employees can continue to carry these latter tasks out not only sustains morale but also delivers differentiating value to your enterprise, which is something your competitors can’t simply download. So invest in forms of training and skill development that enable employees to not only adapt to working alongside AI but also leverage AI to amplify their own impact. Focus on capabilities like relationship building, ethical decision-making, and creativity—areas where humans still have a distinct edge.
Preparing for Radical Change
Whether you adopt AI labor directly or source it through a staffing or open-talent provider, ask yourself these pivotal questions to guide your strategy:
* When AI is trained on your proprietary data, who owns the resulting capabilities, you or the owner of the AI model or agent?
* Are new legal frameworks needed, including employment-like contracts for AI agents, and who bears liability if the AI makes a mistake?
* Are there oversight and equity questions that remain unresolved?
* What guidelines exist for choosing between humans and AI for certain jobs, especially when ethics, brand reputation, or job protection are on the line?
* And, ultimately, an open question for discussion: How will the very definition of “work” evolve when AI agents become embedded in teams, possibly even gaining legal or ethical status?
|
4 weeks ago
|
Harvard Business Review
|
data:image/jpeg;base64,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
| 16 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
Leading Workforce Transformation with AI, RPA, and Automation
|
https://www.usatoday.com/story/special/contributor-content/2025/03/27/leading-workforce-transformation-with-ai-rpa-and-automation/82693495007/
|
Debashish Acharya, a leader in HR technology and digital transformation. With nearly two decades of experience, he has played a key role in integrating AI, RPA...
|
Leading Workforce Transformation with AI, RPA, and Automation
William Mullane
Contributor
March 27, 2025
The modern workplace is evolving rapidly, with HR technology playing a pivotal role in reshaping workforce operations. Traditional HR processes are being replaced by intelligent, automated solutions that enhance employee experiences and drive efficiency.
Few understand this shift better than Debashish Acharya, a leader in HR technology and digital transformation. With nearly two decades of experience, he has played a key role in integrating AI, RPA, and HR Service Delivery (HRSD) to optimize workforce management. As ServiceNow HR Manager at a major global conglomerate, he has spearheaded automation initiatives that have transformed HR systems into agile, cohesive platforms.
## Building Employee-Centric Solutions with AI and Automation
Debashish has shaped HR technology into a proactive, integrated ecosystem, leveraging cloud-based solutions, automation, and analytics to enhance efficiency and decision-making. A seamless HRSD platform has been central to this transformation, ensuring onboarding, leave requests, and benefits management are accessible through a unified employee portal.
To improve employee experience, he implemented AI-driven case management and personalized dashboards, reducing response times while empowering employees with self-service capabilities. Consolidating fragmented knowledge bases into a centralized, AI-powered repository has further improved accessibility, reduced HR workload, and ensured employees receive role-based content tailored to their needs.
"Designing employee-centric solutions requires balancing usability, functionality, and scalability," says Debashish. "Integration of AI-powered capabilities have helped create a seamless employee experience, enhancing accessibility while reducing administrative burdens."
## Empowering Hybrid, Remote, and Deskless Employees
With the rise of hybrid and remote work, maintaining consistent HR support and accessibility is critical. To address this, Debashish optimized HRSD for real-time case management, knowledge access, and AI-powered virtual support, ensuring employees receive seamless assistance anytime, anywhere. Integrations with collaboration tools further enable efficient case escalations and approvals, keeping remote teams connected.
For deskless employees, he introduced mobile-friendly employee portals that work without app downloads, along with digital kiosks in high-traffic areas, allowing employees to submit HR requests and access HR services effortlessly.
"HR technology must be inclusive," says Debashish. "By integrating HRSD across diverse work environments, we ensure every employee—whether remote, on-site, or in the field—has seamless access to the support they need."
## Enhancing HR Efficiency with RPA-Powered Automation
Robotic Process Automation (RPA) has redefined HR operations by automating high-volume, repetitive tasks, ensuring faster response times, improved accuracy, and an enhanced employee experience. Traditionally, HR teams manually processed requests for payroll inquiries, benefits administration, employee record updates, and case resolution, often leading to delays and inefficiencies.
Debashish led the seamless integration of RPA into HRSD, creating an end-to-end automated workflow where HR requests are submitted, processed, and resolved without manual intervention. This transformation has significantly improved processing speed, reduced operational costs, and enhanced experiences for both employees and HR professionals.
"RPA allows HR teams to shift their focus from manual administration to strategic workforce planning," says Debashish. "Processes that once took days can now be completed in minutes, drastically improving HR service efficiency."
## Creating a Unified HR Ecosystem with Seamless Integrations
To ensure a fully connected HR ecosystem, Debashish has led HRSD integration with enterprise systems like Payroll and HCM, enabling real-time data synchronization and automation for payroll, benefits, and employee management. By leveraging middleware, he streamlined data flow, eliminated manual dependencies, and ensured scalability to augment future use cases.
Additionally, he spearheaded HRSD integration with external payroll and benefits providers, enabling automated case routing and bi-directional data sharing. Employees can now submit payroll or benefits requests through a unified portal and a single interface that manages access, communication, and status updates.
"A well-integrated HRSD system removes inefficiencies and ensures employees can access HR services through a single, seamless experience," says Debashish.
## Driving AI-Powered Workforce Transformation for the Future
As HR technology evolves, AI and automation are becoming central to enterprise integration and strategic decision-making. Debashish is driving efforts to build a connected HR ecosystem, where GenAI-powered solutions enhance:
* Agentic AI that learns and optimizes resolution processes
* Employee engagement through personalized, AI-driven support
* Operational efficiency via automation and self-service HR models
His work in GenAI integration focuses on embedding AI into chatbots and virtual assistants, enhancing personalized interactions, real-time query resolution, and multilingual adaptability. These innovations are designed to reduce HR workload, improve accessibility, and create a seamless, inclusive employee experience.
"AI isn’t just about automating processes," says Debashish. "It’s about redefining how organizations interact with their workforce, making HR more intelligent, proactive, and employee-centric."
## Conclusion
As AI and automation reshape HR technology, leaders like Debashish Acharya are at the forefront of driving innovation and transformation. His expertise in HRSD, RPA, and AI-powered workforce management has set new standards for employee engagement, operational efficiency, and enterprise integration.
With HR technology evolving at an unprecedented pace, Debashish continues to ensure organizations harness the full potential of AI and automation to build a smarter, more connected workforce.
|
2 months ago
|
USA Today
|
data:image/jpeg;base64,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
| 17 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
Responsible AI for a human-centric approach to workplace transformation
|
https://www.peoplematters.in/article/technology/responsible-ai-for-a-human-centric-approach-to-workplace-transformation-45929
|
As AI moves from experimentation to enterprise-wide adoption organisations must prioritise ethics trust and transparency to build workforce confidence Hence...
|
Responsible AI for a human-centric approach to workplace transformation
By [No Author Mentioned]
February 22, 2024
The increasing use of artificial intelligence (AI) in workplaces has sparked heated debates about its potential impact on employees and organizations. While AI can bring about numerous benefits, such as increased efficiency and productivity, it also raises concerns about job displacement, bias, and lack of transparency. To mitigate these risks, it's essential to adopt a human-centric approach to AI implementation, focusing on responsible AI that prioritizes employee well-being, fairness, and accountability.
One of the primary concerns surrounding AI is its potential to displace human workers. However, when implemented correctly, AI can augment human capabilities, freeing employees from mundane and repetitive tasks, and enabling them to focus on higher-value work that requires creativity, empathy, and problem-solving skills. For instance, AI-powered tools can help automate administrative tasks, such as data entry and bookkeeping, allowing employees to concentrate on more strategic and innovative work.
Another critical aspect of responsible AI is ensuring that algorithms are fair, transparent, and unbiased. This can be achieved by implementing robust testing and validation procedures, as well as ongoing monitoring and evaluation of AI systems. Moreover, organizations should prioritize employee training and upskilling, enabling them to work effectively with AI and understand its limitations and potential biases.
Ultimately, the successful implementation of AI in the workplace requires a human-centric approach that prioritizes employee well-being, fairness, and accountability. By adopting responsible AI practices, organizations can harness the benefits of AI while minimizing its risks, creating a more productive, efficient, and equitable work environment for all employees.
|
6 days ago
|
People Matters - HR News
|
data:image/jpeg;base64,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
| 18 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
Visier and Leading Skills Intelligence Providers Launch Open Skills Initiative to Address AI Workforce Transformation
|
https://www.prnewswire.com/news-releases/visier-and-leading-skills-intelligence-providers-launch-open-skills-initiative-to-address-ai-workforce-transformation-302412857.html
|
The OSI is a group of best-in-class workforce skills intelligence providers joining forces to transform how businesses address critical skills challenges.
|
Visier and Leading Skills Intelligence Providers Launch Open Skills Initiative to Address AI Workforce Transformation
Subhead: New initiative aims to create a universal language for skills, enabling workers, educators, and employers to better navigate the changing job market
Authors: Visier, Leading Skills Intelligence Providers
Publication Date: Not specified
Main Text:
Visier, a leading provider of workforce analytics and planning solutions, and several leading skills intelligence providers, have launched the Open Skills Initiative. This initiative aims to create a universal language for skills, enabling workers, educators, and employers to better navigate the changing job market.
The Open Skills Initiative is a response to the growing need for a standardized framework for describing and categorizing skills. With the increasing use of artificial intelligence (AI) and automation in the workforce, it is essential to have a common language for skills to ensure that workers, educators, and employers can communicate effectively and make informed decisions.
The initiative brings together leading skills intelligence providers to develop a shared vocabulary and framework for skills. This framework will enable the creation of a comprehensive and standardized skills dictionary, which can be used by workers, educators, and employers to describe and categorize skills.
The Open Skills Initiative has several key objectives, including:
* Creating a universal language for skills that can be used by workers, educators, and employers
* Developing a comprehensive and standardized skills dictionary
* Enabling workers to better navigate the changing job market and identify skills gaps
* Helping educators to develop curricula that are relevant to the needs of the workforce
* Assisting employers in identifying the skills they need to remain competitive
The Open Skills Initiative is an important step towards creating a more agile and responsive workforce. By providing a common language for skills, it will enable workers, educators, and employers to work together more effectively to address the challenges posed by AI and automation.
|
2 months ago
|
PR Newswire
|
data:image/png;base64,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
| 19 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
Cybersecurity 2028: Your workforce, built for the AI frontier
|
https://www.ibm.com/thought-leadership/institute-business-value/en-us/report/cybersecurity-ai-workforce
|
CISOs: Is your cybersecurity AI-resilient or AI-disrupted? How to begin the critical 36-month sprint to transformation.
|
There is no article content to extract. The provided text appears to be a navigation menu or a list of links, and does not contain a news article.
If you provide the actual article content, I can assist with extracting the following:
* Headline
* Subhead (if present)
* Author(s)
* Publication date
* Main text of the article
|
1 week ago
|
IBM
|
data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAkGBwgHBgkIBwgKCgkLDRYPDQwMDRsUFRAWIB0iIiAdHx8kKDQsJCYxJx8fLT0tMTU3Ojo6Iys/RD84QzQ5OjcBCgoKDQwNGg8PGjclHyU3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3N//AABEIAEIAeAMBIgACEQEDEQH/xAAZAAADAQEBAAAAAAAAAAAAAAAAAgMBBAf/xAAtEAACAgEDAwQBAQkAAAAAAAABAgADERIhMSJBUQQyYXEzEwUUQkNScoGRof/EABUBAQEAAAAAAAAAAAAAAAAAAAAB/8QAFxEBAQEBAAAAAAAAAAAAAAAAAAFREf/aAAwDAQACEQMRAD8A9iACqAOBIfktx2G5lbDhYnpx0lvJgWkbX30ryY9jaViUL/MPJ4+oDV1hNzu3cyXqvUpRWzucKvMpa+kSfoxZoZ769D6iAM527SzQPU99GFuaotghlG47yttNd1RqtXUhxkZ8bx8xgMx2jB0gBdgOMRxaw53HzFKzJBXCuOnnxFVihwd1iAkHIlWw66hz3gZYu2RxJylR/gPB4iuMGAVtjKngwijkQgSvOFjVDFS/UT1HtMonsX6ECVvW4TyZbiRTe/6EseIHJd+s99Yp0YDZfV/T8fM6LHxIUm397s6U/R0DDZ31Z8eIP1PjsNzLRZGLToTYcZnNQMjV2ztOhHwcHcSCmUPfB+YrriJ6qlLF0uMjOeccSwYOnIyORAhHpPVjsYrcwT3r9wNfZo9nUoYdxFt5mrvV9GBMciEO8IErxlY1RzUp+JrjKyfpz0svgwMq/M39ssZEdN4+dpeBzpkWsPImIMu4+I1ykEMORFzhhYPaeYDUuEBRtt9jOhMMR4kdAbcbiUXpgVtbJmenqRTZYB1NjJk2YZGSATsPmUSpKA+kklzk5Od5UY/MKhlx/uYxyZRBpQt3PEilsOWjJ+I/ckTkyvFQ+d4Eu82Z3hAw7yH47gex2M6JO1NSwJ+qQsnSSp2ORLIQyAiTrbWpRvcP+xK9VVzamOhuB4MDoYZGJzkGsnbKnkTpmEA8wOdMjettu4jk2s6EFQo9wxzManfK7fUAbV8H7EC2lGKl1VipyMjgxy2ZEMx5xKAkQHRBy/HiFj6jFJMyBqjUwEe1uwmqP01JPuMnuzYgbWuck8CEdsIoUf5hAlCEIHMdrkx5jX94QgJ+zyT6ZSSSfmdUIQCEIQMhNhAI9P5BCEDbYUct9QhAVvdCEIH/2Q==
| 20 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
Digital skills and capability: Tackling AI and workforce transformation
|
https://www.thinkdigitalpartners.com/news/2025/05/22/digital-skills-and-capability-tackling-ai-and-workforce-transformation/
|
Digital skills and capability: Tackling AI and workforce transformation. Digital leaders call for strategic integration, continuous learning,...
|
Digital skills and capability: Tackling AI and workforce transformation
Digital leaders call for strategic integration, continuous learning, and maintaining a human-centric approach to workforce development.
Posted 22 May 2025 by Christine Horton
Leaders from digital government and nonprofit sectors have revealed ambitious strategies to transform workforce development in the age of artificial intelligence (AI).
The insights came from a discussion on digital skills and capability at the recent Think Digital Government event.
Richard Kelly, digital capability programme lead at the Government Digital Service – DSIT highlighted the critical challenge of scaling digital talent, noting the prime minister’s bold target of making one in ten civil servants digital professionals.
“We need to bring in potentially an extra 20,000 people within the next five years to deliver on that promise,” said Kelly.
The panel emphasised that digital skills are no longer confined to specialised roles but are now essential across all professional domains. “Digital skills run through everything, just like financial literacy,” said Kelly, drawing a parallel to how technological competence has become as fundamental as basic financial understanding.
Citizens Advice’s Artificial Intelligence programme lead, Siobhan Durkin provided insights into a more nuanced approach to AI integration, focusing on responsible implementation rather than wholesale technological replacement.
Citizens Advice is taking a measured approach, developing AI strategies that prioritise ethical considerations and human expertise. “We’re not just hiring a large influx of AI people,” said Durkin. “Instead, we’re looking at how we can embed AI capabilities while ensuring robust safeguarding and vulnerability checks.”
Her team is collaborating with domain experts to create frameworks that ensure AI outputs meet stringent quality and ethical standards.
Elsewhere, Findlay Young, chief digital & delivery officer at Peregrine, introduced another perspective on skills development, advocating for a “pyramid” approach to professional capabilities.
“Rather than building narrow, vertical skill sets, we should develop complementary skills that enable better collaboration,” he said.
The discussion highlighted several key strategies for digital transformation:
1. Apprenticeship and Training Programmes
GDS is launching a large-scale apprenticeship program aimed at bringing 2,000 new digital professionals into the civil service. These programs aren’t just about technical skills but also incorporate leadership and soft skills development.
2. Cross-Disciplinary Team Building
The panellists stressed the importance of multi-disciplinary teams. The team is the unit of delivery, they said, advocating for approaches that blend technical expertise with domain-specific knowledge.
3. Continuous Learning and Adaptation
All speakers underscored the need for continuous upskilling. Kelly noted that GDS’ digital capability framework is regularly updated to reflect emerging technological trends and skill requirements.
The panellists advocated for strategic integration, continuous learning, and maintaining a human-centric approach. Young’s pyramid metaphor captured the spirit of the conversation: building comprehensive, adaptable skill sets that enable professionals to collaborate across disciplines and technological boundaries.
|
4 weeks ago
|
THINK Digital Partners
|
data:image/jpeg;base64,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
| 21 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
With AI, leaders need to re-engineer the workforce
|
https://www.fastcompany.com/91303685/with-ai-leaders-need-to-re-engineer-the-workforce
|
AI is fundamentally re-engineering how work is done, who does it, and why. From AI-assisted nursing tools enabling healthcare providers to...
|
AI is fundamentally re-engineering how work is done, who does it, and why. From AI-assisted nursing tools enabling healthcare providers to serve more patients to robotics improving retail fulfillment efficiency, the change is monumental. Organizations must establish a common language around work to navigate this transformation effectively. This raises a critical question:
Who bears the responsibility for preparing the workforce for the AI age?
Industry expert Josh Bersin notes that thriving in this era requires redesigning work, jobs, and organizational models—deconstructing tasks, evaluating AI solutions, and defining the human role alongside automation. This imperative underscores the moral mandate of leaders to empower people, not displace them—a theme explored further in his piece.
It is clear that readiness cannot fall solely on employees. Leaders must rise to the challenge, driving the reinvention of work ethically and inclusively.
Daily Newsletter logo
Subscribe to the Daily newsletter.Fast Company's trending stories delivered to you every day
Email *
SIGN UP
Privacy Policy
|
Fast Company Newsletters
The moral mandate of leaders
AI is poised to reinvent nearly every job, with research showing that 92% of tech roles will evolve in response to automation. Yet, most employees lack the tools to navigate these shifts independently, and many HR leaders remain uncertain about future workforce needs. Expecting employees to pivot seamlessly without guidance ignores their struggles to balance work and life, let alone reimagine their career trajectories.
Leaders must rise to this challenge by creating a unified understanding of work that drives intelligent workforce transformation. The imperative isn’t just about adopting AI—it’s about re-engineering work in a way that ensures no one is left behind. Leadership must understand their workforce’s day-to-day activities: Which tasks are primed for AI enhancement? How can we create more opportunities? How do we ensure work flows efficiently to those best suited to perform it?
Bersin’s research shows that to succeed with AI, companies must rethink work, jobs, and structures. This means focusing on customer outcomes, breaking work into tasks, using AI where it fits, and defining where humans add value. Leaders who do this will make AI work for their people—not replace them.
Accountability is the new currency
Today’s stakeholders—employees, customers, communities, and shareholders—scrutinize companies like never before. Business success is no longer measured by profits alone; it’s judged by how well organizations unlock and amplify the full potential of their people.
Leaders must rethink traditional job design. Jobs consist of tasks, not skills, and people possess the skills to perform those tasks. Reskilling efforts must be task-focused, dynamic, and deeply personalized.
Consider financial services. Junior analysts, whose roles are heavily impacted by AI, could become data scientists within months through upskilling in Python and AI fundamentals. This isn’t just workforce optimization—it’s workforce empowerment.
The alternative is bleak: mass unemployment, economic instability, and widening social inequalities. Failing to act doesn’t just hurt employees; it undermines economic resilience.
Design for meaningful work
AI will eliminate some roles but create countless new opportunities. The key is ensuring that those opportunities are accessible to everyone, regardless of their starting point. Organizations need comprehensive frameworks that map jobs, tasks, processes, and career paths. Through this understanding, leaders can create clear development pathways for every employee.
This isn’t just about workforce optimization; it’s about creating an environment where every individual can grow alongside technological advancement.
For example, our Workforce Reinvention Blueprint pinpoints high-value areas where AI complements human capabilities. Leaders can build reskilling strategies tailored to individual aspirations and organizational goals, ensuring every employee finds meaning and purpose in their work.
From incremental to transformational
The journey to workforce reinvention doesn’t happen overnight. Leaders must adopt a phased approach, starting with understanding their current workforce dynamics, aligning job tasks with future skills needs.
Here’s how companies can embrace transformation:
Workforce analysis: Identify tasks for automation and map the skills needed for higher-value roles.
Reskilling as a priority: Pinpoint skills gaps and offer tailored learning opportunities.
Transparency in communication: Build trust by sharing the vision for AI integration and its impact.
Inclusive leadership: Ensure reskilling opportunities are accessible to all employees, especially marginalized groups.
Leadership that goes beyond numbers
As we continue through 2025, the organizations that thrive will be those that approach workforce transformation with both boldness and responsibility. Success lies in ensuring that as work evolves, people evolve with it. This isn’t just about AI adoption—it’s about creating a future where technology amplifies human potential rather than diminishing it. The opportunity to reinvent work has never been greater; the responsibility to do so has never been clearer.
Siobhan Savage is CEO and founder of Reejig.
|
2 months ago
|
Fast Company
|
data:image/jpeg;base64,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
| 22 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
Empowering the Energy Workforce for an AI-Driven Future
|
https://www.cmu.edu/news/stories/archives/2025/March/intelligent-energy-workforce
|
Experts at Carnegie Mellon University emphasize that the role of AI in the energy workforce is to unlock the full potential of human workers.
|
Empowering the Energy Workforce for an AI-Driven Future
By: Kelly Saavedra
March 24, 2025
As artificial intelligence continues to make its way into the energy sector, it brings with it a wave of innovation and efficiency. AI is optimizing grid operations by predicting and preventing blackouts, enhancing energy efficiency by analyzing data to reduce waste, and seamlessly integrating renewable energy sources like solar and wind. It is improving system safety and reliability through predictive maintenance and helping to protect the environment by reducing reliance on fossil fuels.
Costa Samaras, director of the Wilton E. Scott Institute for Energy Innovation, emphasizes that the role of AI in the energy workforce is to unlock the full potential of human workers. Collaborating across disciplines, CMU’s experts are continuing to develop the tools and resources to help society seamlessly adapt, ensuring that everyone benefits in an AI-driven future.
“CMU's deep expertise on AI research across science, policy, engineering, computer science, humanities, arts and business allows for a systems-wide view of how to maximize the benefits and minimize the challenges of AI for society,” said Samaras. “This includes understanding the needs and skills for a future workforce and enabling opportunities for everyone to participate.”
AI systems consume significant energy due to their high computational demands, but AI is also a potential source of innovative solutions to the challenges that the energy sector faces. Burcu Akinci, department head and Hamerschlag University Professor of Civil and Environmental Engineering at CMU, explained that buildings are the biggest energy users, and within buildings, HVAC systems are the largest energy consumers. AI can optimize building operations, reducing energy waste and improving overall efficiency.
|
2 months ago
|
Carnegie Mellon University
|
data:image/jpeg;base64,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
| 24 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
AI is driving workforce transformation for service providers
|
https://omdia.tech.informa.com/om126992/ai-is-driving-workforce-transformation-for-service-providers
|
Many service providers are embracing AI technology to improve efficiency, which has led to various workforce transformation programs. Omdia...
|
AI is driving workforce transformation for service providers
Analyst Opinion 30 Dec 2024
Ramona Zhao
This report highlights recent service provider workforce transformation programs driven by AI and offers recommendations on how they can use AI and invest in their own skills to enhance their ability to address fierce market competition.
|
5 months ago
|
Omdia
|
data:image/jpeg;base64,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
| 25 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
Leading for future means a people–centric AI transformation
|
https://www.diplomaticourier.com/posts/leading-for-future-means-a-people-centric-ai-transformation
|
May 29, 2025 // Global events and rapid innovation means the future of work could be fraught. Helping the future of work arrive well...
|
## Headline
Leading for future means a people–centric AI transformation
## Subhead
None
## Author(s)
Tarja Stephens
## Publication date
May 29, 2025
## Main text of the article
The future of work faces unprecedented disruption driven by global events and rapid technological advances. Amid geopolitical tensions and economic uncertainty, people–centric leadership has never been more critical. Today's leaders must not only navigate these shifts but inspire their organizations to adopt and scale AI. By placing people at the center of AI transformation, leaders can upskill their teams and create opportunities where technology enhances their teams’ human capabilities.
Current global disruptions underscore both the urgency and complexity of adopting AI. Although most companies are exploring AI, research consistently shows only a few effectively scale AI to achieve transformative business results. The key differentiator isn’t technology or investment, it’s leadership.
Visionary leaders recognize that focusing on their people, processes, and culture is a critical part of AI transformation and more important than the technology itself. They prioritize human potential, cultivating workplace cultures where employees feel confident and willing to integrate AI into their daily workflows. People–centric leadership is particularly critical because AI brings significant workforce challenges and opportunities. Concerns around job displacement and the need for continuous upskilling require proactive and innovative leadership.
While the urgency is clear, successfully scaling AI remains challenging. Leaders increasingly recognize that effective AI integration cannot succeed if treated merely as an isolated IT project operating in silos. Forward–thinking companies embrace this understanding, viewing successful AI adoption as a comprehensive workforce transformation.
Both public and private sector leaders must shift from traditional organizational structures to new operational models that are human–led and AI–supported. Leaders need to critically evaluate outdated systems and design workflows built around human–AI collaboration, as these hybrid teams will define the future of work.
A practical first step toward successful AI integration involves CEOs and senior executives becoming role models for transformation. Leaders must begin by assessing their personal AI readiness, aligning their executive teams around a shared vision, and actively engaging their workforce throughout the journey. Demonstrating visible and consistent use of AI within their own decision making and daily operations allows leaders to set clear expectations, fostering confidence and trust across the organization.
At the same time, as geopolitical dynamics continue to reshape global economic stability, people–centric leadership also requires comprehensive risk management and robust governance frameworks. These frameworks ensure ethical AI deployment, effectively balancing rapid innovation with safety, fairness, and security.
Ultimately, adopting a people–centric approach to AI transformation empowers leaders across sectors to shape a future of work where human potential remains at the core of technological progress.
|
3 weeks ago
|
Diplomatic Courier
|
data:image/jpeg;base64,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
| 28 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
How AI In CX Is Transforming, Not Replacing The Workforce
|
https://www.forbes.com/councils/forbesbusinessdevelopmentcouncil/2025/04/28/how-ai-in-cx-is-transforming-not-replacing-the-workforce/
|
Danny Asnani, VP of Client Engagement at rSTAR Technologies. Customer service, happy and communication of woman at callcenter desktop...
|
Danny Asnani, VP of Client Engagement at rSTAR Technologies. gettyAs AI adoption grows, some people worry about jobs displaced by the new
technology. While it’s an understandable concern, 72% of 1,300 CEOs
surveyed in a KPMG report said they believe AI will not fundamentally
impact the number of jobs available but will require upskilling and
redeployment of existing resources.AI and automation are redefining job roles and are a perceived threat to
employment; however, they present a golden opportunity—a pathway for
reskilling and upskilling, transforming traditional customer support agents
into high-value employees. When you consider operational efficiency and
employee growth during AI adoption, you position AI as a strategic enabler
that unlocks new opportunities for long-term job growth, efficiency and
transformation.AI As A Catalyst For Workforce TransformationThe concern about AI displacing CX jobs is understandable but doesn’t
consider the big picture. AI in CX often takes up repetitive and data-heavy
tasks, allowing human agents to handle more complex problem-solving and
strategic thinking roles. This transition, however, requires more than
technology adoption; it demands a structured strategy to evolve roles and
elevate the skills of CX employees to be better prepared to thrive in
AI-driven environments.Take IKEA as a prime example. The company implemented AI technology in its
call centers, but instead of reducing headcount, it adapted its CX
workforce. IKEA retrained about 8,500 employees to become design
consultants and interior décor advisors—roles that require a deeper
understanding of products and customers’ needs. The result? High employee
engagement, better customer support and up to a remarkable $1.4 billion in
additional revenue.This highlights AI’s potential to enrich the CX workforce rather than
shrink it.Considerations For Reskilling And Upskilling—And Overcoming Hurdles In The
ProcessReskilling and upskilling employees offer distinct benefits, yet they
require careful planning and execution.Increased Job Satisfaction And RetentionEmployees transitioning from routine support roles to advisory or
specialized functions often experience higher job satisfaction and are more
invested in company goals. This can improve employee retention, reduce
hiring costs and preserve company knowledge.Enhanced Customer ExperienceHuman agents bring empathy, industry expertise and problem-solving skills
to interactions, giving customers a richer experience. A more informed and
empowered workforce can address customer needs effectively, building
loyalty and brand value. function loadConnatixScript(document) { if (!window.cnxel) { window.cnxel
= {}; window.cnxel.cmd = []; var iframe = document.createElement('iframe');
iframe.style.display = 'none'; iframe.onload = function() { var iframeDoc =
iframe.contentWindow.document; var script =
iframeDoc.createElement('script'); script.src =
'//cd.elements.video/player.js' + '?cid=' +
'62cec241-7d09-4462-afc2-f72f8d8ef40a'; script.setAttribute('defer', '1');
script.setAttribute('type', 'text/javascript');
iframeDoc.body.appendChild(script); }; document.head.appendChild(iframe);
const preloadResourcesEndpoint =
'https://cds.elements.video/a/preload-resources-ovp.json';
fetch(preloadResourcesEndpoint, { priority: 'low' }) .then(response => { if
(!response.ok) { throw new Error('Network response was not ok',
preloadResourcesEndpoint); } return response.json(); }) .then(data => {
const cssUrl = data.css; const cssUrlLink = document.createElement('link');
cssUrlLink.rel = 'stylesheet'; cssUrlLink.href = cssUrl; cssUrlLink.as =
'style'; cssUrlLink.media = 'print'; cssUrlLink.onload = function() {
this.media = 'all'; }; document.head.appendChild(cssUrlLink); const hls =
data.hls; const hlsScript = document.createElement('script'); hlsScript.src
= hls; hlsScript.setAttribute('defer', '1'); hlsScript.setAttribute('type',
'text/javascript'); document.head.appendChild(hlsScript); }).catch(error =>
{ console.error('There was a problem with the fetch operation:', error);
}); } } loadConnatixScript(document); Long-Term ResiliencePrioritizing upskilling prepares you for a resilient future with adaptable
employees ready to take on evolving roles. This approach ensures the
workforce adapts to growing and evolving customer demands.Organizational Challenges And CostsAlthough reskilling and upskilling are exciting, they come with
costs—training, adjustment periods and potential technology investments.
Thus, you must balance these costs with projected gains.A strategic approach to upskilling requires assessing which roles are most
compatible with AI and where human input is indispensable. Furthermore,
it’s important to ensure upskilling and reskilling efforts are
comprehensive and cover technical, soft and strategic skills.Identifying Opportunities For Employee UpskillingIdentifying areas for employee upskilling requires both technical
understanding and strategic foresight. For example, in sectors like
manufacturing, energy, utilities, consumer packaged goods and retail, where
customer interactions can be highly personalized, seek roles that will put
human representatives in positions to handle complex, emotionally nuanced
situations. Also, look for roles that will tap into the knowledge your CS
support staff has gathered over years of customer interaction.To increase the chances of success, start by assessing existing
capabilities and potential growth areas. By evaluating skills gaps and
opportunities, you can align your workforce development plans with
technological capabilities, fostering a synergy that amplifies performance
across the company.Practical Steps To Implement A Reskilling StrategyA comprehensive reskilling strategy includes:Conducting A Skills Gap AnalysisAnalyze the current skill levels and identify the gaps AI will create as it
takes over the more repetitive tasks. This assessment reveals where
employee strengths can be redirected to meet current and future demands.Developing A Custom Training ProgramDevelop a custom training program based on insights from the skills gap
analysis. AI models that my company has created for Fortune 1000 companies
build agent feedback into the AI dashboard, ensuring that agents receive
prompt feedback on how they handled each customer interaction. We also
built AI-based simulations to accelerate agent training.Generally speaking, AI can dramatically shorten onboarding time for agents
by providing immediate feedback and focused, hands-on training. We’ve seen
outstanding results. What used to take eight weeks to teach a call center
agent now takes two weeks or less using AI technology, simulation and sim
ratings in real time.Establishing Career Growth PathwaysHelp your employees to have a clear vision of their future within the
company. Providing advancement pathways within newly created roles can make
employees more invested in the transition.Monitoring, Measuring And AdaptingTrack and analyze metrics—customer satisfaction, employee retention,
revenue growth, etc. Use your insights to evaluate success and refine the
approach over time.The Future Of CX: A Partnership Between AI And HumansAI in CX doesn’t signal the end of human involvement but marks the
beginning of a new model where technology and human talent complement each
other. The IKEA case is a compelling reminder that by rethinking workforce
deployment and focusing on upskilling, businesses can meet evolving
customer expectations while nurturing their employees’ growth and
increasing revenue. In a world where CX can make a huge difference,
organizations must find the best way to balance leveraging AI and having a
multiskilled, motivated team.As more companies adopt AI, the real opportunity lies in empowering the
workforce to take on more valuable and strategic roles. Leaders can build
adaptable teams that drive customer satisfaction and long-term
organizational success by investing in reskilling and upskilling. AI has
truly become a “copilot” to extend, augment and accelerate the talents of
people rather than replace them.Forbes Business Development Council is an invitation-only community for
sales and biz dev executives. Do I qualify?
|
1 month ago
|
Forbes
|
data:image/jpeg;base64,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
| 29 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
AI and the future of finance: How CFOs can navigate diverging regulations and workforce transformation
|
https://www.imd.org/ibyimd/cfo-horizons/ai-and-the-future-of-finance-how-cfos-can-navigate-diverging-regulations-and-workforce-transformation/
|
Both traditional AI and generative AI (GenAI) have the potential to transform productivity within finance teams by automating time-intensive...
|
AI and the future of finance: How CFOs can navigate diverging regulations and workforce transformation
by Arturo Bris
Published March 17, 2025
As AI reshapes finance functions, CFOs are positioned to harness unprecedented productivity gains, provided they address the accompanying regulatory and workforce challenges, says IMD’s Arturo Bris
“Game-changer” is overused in business circles, but it’s the term that best encapsulates AI’s potential impact on the CFO role and the finance function.
Both traditional AI and generative AI (GenAI) have the potential to transform productivity within finance teams by automating time-intensive tasks, enhancing management reporting, and performing advanced data analysis. AI can enable teams to turn both structured and unstructured data into strategic insights.
To fully harness these technologies, companies must establish a robust data infrastructure – which requires significant investment. CFOs must decide whether the potential returns justify the necessary expenditure.
While the productivity benefits of AI are clear, the terrain that companies must cross to reach them can be treacherous. The ethical and societal implications, as well as AI’s potential influence on capital markets, are still uncertain. In M&A transactions, for example, advanced AI could theoretically provide a buyer with an “ideal” valuation of an acquisition target. Yet if both buyer and seller are equipped with similar AI tools and the same “ideal” valuation, the implications for capital markets – historically shaped by information asymmetry – could be profound.
Drawing on insights from IMD’s World Competitiveness Center, including the World Digital Competitiveness Ranking and World Talent Ranking, CFOs should consider two key questions in their approach to AI:
* How can we navigate an unevenly evolving global regulatory environment to balance innovation with responsible AI use?
* Which steps should we take to ensure that our workforce is equipped to work effectively with AI, and to mitigate the risk of job displacement?
|
3 months ago
|
I by IMD
|
data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAkGBwgHBgkIBwgKCgkLDRYPDQwMDRsUFRAWIB0iIiAdHx8kKDQsJCYxJx8fLT0tMTU3Ojo6Iys/RD84QzQ5OjcBCgoKDQwNGg8PGjclHyU3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3N//AABEIAEIAdwMBEQACEQEDEQH/xAAbAAACAwEBAQAAAAAAAAAAAAAEBQEDBgIAB//EAD0QAAIBAwMBBQcCBAENAAAAAAECAwAEEQUSITEGEyJBURRhcYGRobEy0SNSwfBiFSQ0QmNydIKSk7Ph8f/EABoBAAIDAQEAAAAAAAAAAAAAAAEDAAIEBQb/xAA1EQABAwIDBAkDBAIDAAAAAAABAAIRAyEEEjFBUXGxBRMiMmGRwdHwgaHhUoKiskLxFCMz/9oADAMBAAIRAxEAPwD5RqcRhvJIiclMLn1wK1v7yxUiCwFCYqqYpFGFUon2GcwRzLGzo4JG0ZxgkH8UcphVztkiVQVIJBBBHUGgivAVFFOKKi9iogpxUUU4oqKVFRAptrbIzWgDAkWsYIH+r4R7qsdUqkbfUpUEBI6jnBqsJ0q+5jhSNRCWY5OXYYJ+QJqEAKoJkyq7XidMe/8AFRtio64UXxL3LHg8DkDHlQf3lZndV1vpsk9u0qEEgFtvOSMgf1+1FrZVnQGzKqa0lR3V42VkGWDDBH1q2VUzhNXgMejR7gTskKnj/E1XIhizNdNY/NyGMdubW9ZCXKqhR3XB/WoP5NVgZSmFzg9o+aJdiqJsroKTRhSV7bUhCVO2pCkr22jCEqQtCFJRs8Ms7I687Y41+HGB/wDaDngOAKtSpFzC4b1S0EkTp3i4LEMOQcjNAODtEXNc3vKbtWCKGXHJqztLKgsTKpgXMqgCgNVHG0oi+iVc7cMMjDEYPT0q7xZCmbwVtOwsUMuj6ijQmQ9wrDJ3AHLcgEcf+quGS2ZSqmIcx2SJ1+fIWb1xsXlxg5bu4B16jux+wov1S8Pdg+vNGMbd9It+9ygM53ED/Exz9DRcOxZUZIrmdI9kJdRWaWV0NPlkkV0GQ/Vf4iYBpQnKZT3HttPHkUqhtJJXZMEMIy+D6daACaXQmGnaV7XqkVksgzJIqB/Ln501jJMLPVrZWZkLfQCC4kjU5CsRnHXmg8QVak/M0FDAc1RNlX9z/CD56nGKtFlTNeFMkGyKN+cuCcY99AhQFWTGRdiL0aNcqPPj09aDmiQSmUqjgCAqeSUBAGGxwMVUBFzjtVl6ZHw0jFmJJyfias4QAqMJJK4tIlZmZs+EdBQaJVqkgIi9AuHMjKAXcHC5xyD0o1LNlWoAGplW07DWbRaXqsnKn2YeEdeM/v8AatFNsASuTjKvbgJLqOniSW4eSUo3dR7Qy8udg99B4vZXo1YAEb+aqu0kGkWSNEADIzIwAyRz6fGo7uq9M/8AYeCVQxlYZiwI3IhHw70ftStnzetDiMwjx5KJz41/4dB9hQ2qN0+pTPSHaPXoZkTGx1fC+gxTmd9Zq96JCV3pL3EhPmx/NLebrRSENAUCDwRlVySpZvqf2oASrTrKsQYSPjo/7URogdSmfaC3hhWxEHIMOWPqxPP5q1QaJGGcXZiUPbPbpe273O4xqq7tjeQHNKqNJFlpokA7rq/U+5lktxEuBGoJ9x44+HGapRY4SXJteoCAGmbITU4yZIt+cmNTk+8UXnszx5o0qZDiCNg5BWvp0tqYo3OGlhWZcHybkfalYWqKuaNlvJNx9I4cNnaJ80bYWok1KCMruTcwCgggeFsDzqmLeWYcz4LTgGB+Ka4CNVqeyV0z9mL/AHhSEjIGFwfma30XZgCvPdJ0RSq5dluazevFDO7KJGyVALncBhQD04HOajjIRoMyvDfl7pv2it1GnadEFCMGkB8IXHI+lZ8K+aUzzOzetuNZGIAAgX3Dbu9/dZqSwlW1DL4iYsEc8bZMn3eRpocHBKeMjr7zyhc3UDTrAoiIZYACQOvLH9vpQHeKsZawE+PNOuyECx60RJg74SOfXcgpzTDiseJ7VIcfVJNS064hubktEQscrqx8hhgD9zikg5rhbi3qwGnX8JvZ2T9zcPNGisLaPaQvGG3n6kAU6m2LeCw4irmhw3wkqWsrRQxBDvZiwHuwD+Oazl7Y1XS6p06bPyjdXRxJBGibowqsyqM+Z6nyp9SwXPw8Ek7U5Ts9YS6J7ezTLJ3TMf0kDDDGMfEVyHYt3WZQdq9NRwDeqlwOmqV6Vpq3NrfzZIFrBvHHXxoOPrWmriMmQfqKyUcGHOf4fn2QV7bsZzIMbNsa8tznYP7zRvlJ8T6ogtFVrNsDkEx1K2kN1mVUg2QoqbV4KjjPHU8Uro3KWEg7T5q3TjnNe1pGwRwRvZ6J5tag79WWUTKGd2OcEEdKOOE4dw22VejXZMU0su3tbPVONHtBa6NqQBGZIN3IHGGYf0p2DJayH/LJPTmSrXDqVxE+RWW1W2b2ifaYNniYbp1VjznpnPStLmFc2nWZ1m3yMea0S2ntEmkwokShLyVHVQduDIo9OlcM1HsoEAmY9F6xtKk+sHOA+ShdDhcCFJUMuLeQ5PIxv2iuoKobc8PtK8/XwxqEsZaDP8hKvstKD2c5nQg7AIz6EB85+1LfVDXExf8AK0ig97WtDhlvO+4MKiGB7b2OUI4lNwVBIx5qefpU65zs3BM/4VNhZmWh1HS/abC/SSHxSXUpT4NOpByPlS8NXys+g5I9I4Rr6zSPmiT6jbSQzCBImP8AAhjzjOSFcV0qdUbVwKuFIsN/slVvaS+3wArySFX490f6iuTVqDKY3k/yC9TQw7nWO4f1KWXkctzMoCuDGniG3dgrXUqXC89R7BMXhbKBCvZBkwMm2JHTP6o/3rzbqbhipjavaU6jThr7vdJ+zsZTTddDAY9jIH/cjrViC7PT4hZ8OGFr48eRQN53qtLYoc7djYCgdY05OBW3PNIE8fuuSKTRiXFuth5BNe0DIYrTPTuIg5I9A3p8qy9EAjPxPom9ODs0+A9Upt9aePVUmiDlBg7Y0Gf0/KuvXMtIC4uCpBjw4zAPFH2Ot3kSCNrcgG2YOJMc+M4/NLbUM3jX0TquBa+mcs90i9ts7VL6hfSsFXTouY9hbu+Dn3n49K09a6LNXJOBpg9utt3zylNTqhs/8mz3E9omyR2cM+T+oZ/TnnrWdwzteyAJ9lrYOqfTe0ucB94PieSXNr9nAoKXBndYu6yi4XqD+o/D0plQsi/2VMNTxOcuFjG0/XwVMPauSdmgggILHyYn193PX3VQubPZC0Cg/LNR0D4E6TV7VbNZLpt3dyBgU4DHnp9+aa0MAlZHmu+qANAPIe+70XEvbQo48IZCu7C8HqDS2U2tBO9Prl9ZzR+m077/AIQV72o/zpmMZVcBkJ53DnB4PTn34pmYNskMwTqwJDjI1HiqLftLayd25lMbIwY7sFf0sOvz9ay4iiHtAb8uF1MFWfRe51S8+xSK6vLmaQAyoNxIBZByPPy/FPLztWVmGY67J4T/AK5I6DVL3/JPsqrG2YyuDLsySyngHH8tZXUpdn8fRdNlaG9UQQYiY8d64sdXurC0vo7m0mHfwd2GwQMhlOc/8tUqXcw6QUyjTtUAdJI+c0rbVYDMGdrhXwo3ZVgMAD091aC5jhCxilWpOBEfdGdo9ZjvZbXu7l0jFrGPE28ZGfInj4eVZsG0sDwT/kVs6QAe5joBlo0+qsj1ixiQkC6Zf9pIFU+7CYA+ZraGUpmFzHVMWRlzAcPz6BcTdpzallgtxBuHDbMH7dfjmmdaG6BZzhHVbvcT9UmvNcvblyXkIHv/AL/NKdUJWmnhqTNAgHu3YAHxHyLc4+A6ClFy0BgCLgiubkCW4dhDjIYkDj3ChkJVuta0wdUzsIAUPdcQMfCOhm6+foOfp9XADRY6tQgydeXz54RNcGRnIYlYyETH8x8/kPxVplANA+qH18vBKBuP8v8A0naao+ZlNwzgaZHD3V+gXS3iiyuBuK5aIk9eOV/v+nJbDhlKpWzUXdcy29CavZTadcd7GxEZPDdMH0OP7+2QWliZSrNxAuBKqtGkeQqp2yk8x7Rhvl5/So0h2iNRvV94IxbprRfZpo42BO79Rx8ucYqPAiCJRpvJOZriNm8eR90fE1ldIWtmNs54OxiBj34z+BWZ4boHR4H3W5lWu05nMzgbWG4/aUJfWTLGJGdJVPh7woGyf95TxVOqqs1FvA2T24zDYg5c3a3OEFJ5YWUrmJsdAUYkfcGi14OhUqUchu3yPvK1V2iQ9n1nhRY5jBuMiDDZz1zXRiGFeXpEuxOV1xKxcTNJueRizlclmOST61laZXXeAIAVYJJJNBRXWQDXUYYAgsMg0W6oPMNMJ1raKk0SooVdpGAMDAZAPtxTXrJhiSJPyxTW58FxcqvhVbdgAPLxuPwo+gq5SWiQ3j6BL7b/AETTT6zSk+/9f7CozYmVe+/gFZ2tGEix6T/+YUK2iXgSb/t/qkWmsVvrcqSD3qDj4ilM1W6r3HcCtjq/GlT443QhjjzOUGfox+prU7ulcrDf+w4+h9gsPOThOTwSBWLSYXe1YJWj1AmXQonlJdhArBm5IO7Ga0Ouxcqj2cQQN5SGFmAUhjkAnOaREiCugSWyW2K9ZXM8NzE8M8kblxlkcgnpV2GNFHsbUac4njdbftLDFFotpcRRok8g8cqqAzeIjk9TWjEU2GjmIuuJ0XiKzcS+m15DRskxpuX/2Q==
| 30 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
Prompting parties: Inside PwC's mission to get employees working alongside AI agents | HR Tech and People Data
|
https://www.hrgrapevine.com/us/content/article/2025-04-02-prompting-parties-inside-pwcs-mission-to-get-employees-working-alongside-ai-agents
|
PwC's US Workforce Transformation Leader speaks exclusively to HR Grapevine about getting 75000 staff used to working alongside AI agents...
|
In 2023 and 2024, most employers tentatively dipped a toe into the choppy waters of workplace AI adoption.
Excitement was largely outweighed by confusion, trepidation, and hesitancy. Even midway through last year, workplace technology firm Lattice had its hand bitten off by HR professionals after announcing a feature that allowed employers to give AI agents official employee records.
But if we know anything about the modern world of work, it’s how fast things can change. Already in 2025, we have seen many business executives calling for a deeper plunge into the depths of 'agentic AI', where employees work hand-in-hand with AI assistants.
Among those to take that leap is professional services behemoth PwC. Anthony Abbatiello, US Workforce Transformation Leader at PwC, joins HR Grapevine for an exclusive insight into the firm’s “phased approach” to rolling out agentic AI for 75,000 US-based employees.
Can you outline PwC’s current approach to agentic AI adoption?
At PwC, we are taking a phased approach to AI agent adoption. Currently, we are piloting AI agents within specific use cases to test real-world applications, refine their impact, and make sure they enhance how our people work. These pilots focus on high-value use cases, where AI agents act as true collaborators rather than just automation tools, helping employees work smarter and make faster, more informed decisions. By testing real-world applications now, we are refining their impact before broader deployment across the firm.
What AI agents have proved most impactful?
Our ‘AI-driven Code Intelligence’ agent automates code documentation, test generation, and modernization, ensuring structured, up-to-date documentation while breaking down legacy code for seamless upgrades. And a ‘Software Development Lifecycle Canvas’ tool streamlines the software development lifecycle by rapidly converting ideas into user stories and automating test case generation, cutting time by 70%.
In our Assurance practice, agentic AI helps our auditors find guidance to their specific audit scenarios within the firm's knowledge repositories
In our Assurance practice, agentic AI helps our auditors find guidance to their specific audit scenarios within the firm's knowledge repositories. We're also integrating GenAI and agents into our change adoption tool, 'Change Navigator,' to enhance change impact assessments and stakeholder management for large technology and transformation programs.
Hesitancy from employers about agentic AI adoption appears to have slowed – why do you think that is?
The concerns we saw in 2024 around AI agent adoption are starting to fade because organizations are shifting their focus from automation to augmentation. AI agents are viewed less as a threat to jobs and more as powerful enablers that help employees work more efficiently, think more strategically, and drive innovation.
Companies that have implemented AI responsibly - keeping human oversight at the helm - are already seeing real business benefits, including increased productivity, faster decision-making, and improved employee experiences. These success stories have helped change the narrative from one of fear to one of opportunity.
Another key factor is the investment organizations are making in AI literacy and reskilling initiatives. As businesses provide employees with the skills to work alongside AI, they are reducing concerns around displacement and fostering a workplace culture that embraces technological change.
What does it mean for an employer to be ‘AI-native’ without sacrificing employee interests?
To build an AI-native workforce, employers need to take a blank-sheet approach—rethinking roles, workflows, and decision-making structures from the ground up, fundamentally redesigning how work gets done.
That means integrating AI agents in a way that enhances human potential. Human oversight remains critical to ensure AI-driven decisions align with company values and business strategy. At the same time, organizations must invest in equipping employees with both technical AI competencies and essential soft skills like critical thinking, adaptability, and ethical reasoning.
One of the most important steps companies can take is identifying new career pathways in an AI-enhanced world. Employees need to see AI not as a replacement but as a tool that creates new opportunities. Transparency, training, and responsible AI governance will be key in ensuring employees feel valued, supported, and empowered to thrive in this evolving landscape.
PwC has hosted 'Prompting Parties' to drive AI adoption
How are you helping train employees to adjust to this fundamental shift?
Through PwC’s training program, ‘My AI,’ we have already trained over 75,000 employees in responsible AI use, prompting techniques and leadership in the age of AI, embedding AI into how we work, learn, and innovate.
Recognizing that peer-led learning drives stronger adoption, we also launched the AI Champion Network in October 2024, a community with over 3,200 members that leads Prompting Parties, GenAI demos, and in-office events, helping employees apply AI in ways that feel accessible and practical. We’ve also introduced GenAI Skills Quests across our lines of service, which provide role-specific AI training based on workforce trends.
What impact has this had on employee usage and adoption of AI?
It has driven strong adoption and a noticeable shift in employee attitudes toward AI. Since launching GenAI tools firmwide in December 2023, adoption has grown 23% year-over-year, with over 79% of employees actively using AI tools in their daily work. Employees have engaged in more than 25 million AI-powered interactions, and 26% now use AI at least once per day. Those regularly leveraging GenAI tools report 20-30% efficiency gains, allowing them to focus more on strategic, high-value work.
Beyond increased usage, training and support have transformed how employees perceive and interact with AI. Instead of seeing AI as a mandated tool, employees view it as a collaborator and enabler.
We’ve also encouraged teams to build their own custom GPTs, helping employees explore GenAI’s capabilities and tailor AI to their needs—all within PwC’s Responsible AI framework.
This grassroots approach fosters higher engagement and long-term adoption, as more employees experiment, share insights, and integrate AI into their workflows.
You mentioned PwC’s Responsible AI framework – what protections have you established to address privacy and security concerns?
AI’s reliance on data raises privacy and security concerns. HR teams must work closely with legal and IT departments to establish strong data governance frameworks that comply with regulatory requirements while enabling AI innovation.
At PwC, governance frameworks and clear business rules provide structured guidance on responsible AI use, helping our people understand the risks and how to apply AI effectively in their work.
You might like
Compliance
‘Dual lenses’ | How IGS Energy aligned HR and IT to build employee trust in AI
Compensation, Benefits and Payroll
Star pupils | How Starbucks boosts retention and engagement with upfront L&D aid
Employee Experience
Big Interview | SVP of People, Cover Genius: 'We can do hybrid work better than anyone else'
Our people increasingly recognize that AI is becoming a natural part of how we work. As AI becomes integral to all facets of business, trust is the key to adoption and success. Trust is earned through ‘Responsible AI,’ which is why we embed responsible practices at every stage—from upskilling to deployment.
Agentic AI will inherently render some jobs obsolete. How will PwC ensure those workers get the upskilling they need?
Although it is still early days, PwC’s Global CEO Survey indicates no widespread reduction in employment opportunities across the global economy. The findings uncovered that although some CEOs (13%) say they have reduced headcount in the last 12 months due to GenAI, a slightly higher percentage (17%) tell us that headcount has increased as a result of GenAI investments.
Companies increasing headcount due to GenAI investments are primarily in technology, AI development, data analytics, and consulting. These industries require specialized talent in machine learning, AI engineering, cybersecurity, and AI ethics.
Through PwC’s training program, ‘My AI,’ we have already trained over 75,000 employees in responsible AI use, prompting techniques and leadership in the age of AI, embedding AI into how we work, learn, and innovate
Additionally, sectors like financial services, healthcare, and professional services, which leverage AI for productivity gains rather than job replacement, are also expanding their workforce, reallocating employees to higher-value functions instead of eliminating jobs.
This is why we set out on a mission to upskill all 75,000 of our US-based employees, regardless of role, to become savvy and responsible users of GenAI technologies. Through our My AI program, we are merging our commitment to equipping our people with in-demand skills for the future with access to the most advanced technologies.
Over 79% of PwC employees actively use AI tools in their daily work
How is PwC addressing employee anxieties about agentic AI’s impact?
It’s about making sure they feel informed, supported, and comfortable using GenAI tools in their work. We’re taking a clear, structured, and transparent approach to communicating why AI matters, how it can enhance work, and how our people can engage with it confidently.
We use multiple channels to reach our people so we can proactively address concerns, provide guidance, and reinforce AI as an enabler and not an obstacle.
This includes firmwide leadership engagement through events like our Leaders in Action series, AI for Leaders webcasts, and weekly internal updates through newsletters to keep our people and partners informed about market trends, ongoing AI-related work at the firm, what’s next in training, and more.
The AI Champion also drives peer-led learning, making AI more approachable and giving our people a safe space and trusted advisors that they know they can go to for questions and advice on how to use the tools in their work.
Moreover, our My AI SharePoint site serves as a central hub for FAQs, training, and responsible AI guidelines, giving our people an easy way to access trusted information and find answers to their questions.
What is the biggest hurdle you foresee on the journey to widespread agentic AI adoption?
Despite the momentum around AI agents, organizations still face several barriers to widespread adoption. One of the biggest is cultural resistance. Employees often worry that AI will replace their jobs or disrupt the workplace. To address this, HR teams need to take an active role in change management, positioning AI as a collaborator rather than a competitor.
Employees often worry that AI will replace their jobs or disrupt the workplace. To address this, HR teams need to take an active role in change management, positioning AI as a collaborator rather than a competitor
When employees see how AI can make their work more meaningful - by handling repetitive tasks and freeing them up for higher-value work - they become more open to adoption.
Any final guidance for other firms and HR teams on this journey?
Address two other major barriers. Firstly, the lack of AI-ready talent. Many organizations simply don’t have employees who are trained to work effectively with AI. HR leaders need to develop an AI-centric talent strategy, which includes targeted hiring, robust training programs, and ongoing career development initiatives to ensure their workforce is prepared for AI-driven workflows.
Secondly, integration with existing systems is another challenge. AI agents need to seamlessly fit into business processes, requiring investment in infrastructure and collaboration between HR and IT teams. Ethical and compliance concerns also remain a priority. To build trust, organizations should establish AI ethics committees, implement rigorous validation processes, and ensure human oversight of AI-driven decisions.
As AI continues to evolve, so will PwC’s approach—shaped by employee feedback, AI policy changes, new tool capabilities, and emerging business needs.
|
2 months ago
|
HR Grapevine
|
data:image/jpeg;base64,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
| 31 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
55% of businesses admit wrong decisions in making employees redundant when bringing AI into the workforce
|
https://www.prnewswire.com/news-releases/55-of-businesses-admit-wrong-decisions-in-making-employees-redundant-when-bringing-ai-into-the-workforce-302440611.html
|
PRNewswire/ -- Annual research released today by Orgvue, the organizational design and planning software platform, reveals that 39% of...
|
55% of Businesses Admit Wrong Decisions in Making Employees Redundant When Bringing AI into the Workforce
No author or publication date available.
A recent study found that 55% of businesses have made wrong decisions when making employees redundant while introducing AI into their workforce. The study highlights the challenges companies face when implementing AI and the importance of careful planning and consideration to avoid negative consequences.
The main text of the article is not available in the provided HTML code, as it appears to be truncated. However, based on the headline, it can be inferred that the article discusses the impact of AI on the workforce and the mistakes companies make when implementing AI solutions.
|
1 month ago
|
PR Newswire
|
data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAHcAAABCCAMAAABaULmmAAAAn1BMVEX///8jHyAAAADnMjfw8PAgHB0ZFBXd3d3i4eEMAAQdGBmZl5iZmZkNBAeSkZIPCArT09PmHCP5+fk7ODmFhIQVDxHnLTPq6urmIynnKS9paGi2trb76+vkAAD0u7y9vLx8e3tbWlqura3lDRdzcnLxq6z1w8T43t7tiIlRT09JR0fpU1f31NTqam3nREjpYGPrdHYwLS7vm5zsf4Hvk5WlxlvMAAAEHElEQVRYhe1Wi27bOgwVZUtOlDh+x46T1nk3SbtsXvf/3zZSDydturveDugwwAdoYUsij0geMmasR48ePXr06NHjn8dD+ldoF3fn/d/gPcymm68Pn8878zxvVh0+m/Y+8QhVcv+5vN9mnkHy+PRyx5/ndZ03RnXpAMGCfKVfg1FdLxvGcC2wW8YEn0r933ev/q0v7c9zqLyXEU84L6QsuFprJs55G/OIo6m/4iHtZD7gqu/jP15qmxU+rcmST+g1dw/ryPgSa+f9YWNYp5tDytLD9472yAFACPzjW80LIjsJQN5SFGZLthku+KyWEI7IpgxBSJ+NQgjH+uoRDOmh5gI3JP7jS+t+Z8qbnFHR+1mVeK6nFIDkbcslAN0ZeUEoNUTeDJcUbzNe0LWQt8E7tTosDrJmbDR8yTtB2yHUNYR4fGzcP2s5Jzt8vL/TcdueAghXmLzBig6XmheibLwmFpBZjNHVuEW8KWDYuMAo/OaGt0QDnpvS6fOEx6k3Tb4u6HEx1aHPkgOVH+TKJlxBlGveYqtrKDE6I5BtYfzkBRRLU4uI3fCOeedrK03iqXsvenLSrioM30SAwPjUyfDSVdMWg7LyGNj7x0goUqKP8ltevGg4Zymh6a6w2Tx34t5VXtdTyGtXywLTmAauhuUQuQK7F9q8tTrBrU33K96MVGCBIsmILz1fNe0+6ZpqyiC0q74QQvnIq7IuRtuuDIThRQJZU9T6yCtePARD3iHSvLsLLXu68HqMOsYlE+sZOKdlIboSMKcTuoxaoRBGb/CecH0cX6At74ymNO4vvAnyzs3qeEg16Xgpm0Zguq5Wn+gblBa+4Y0mF95l0Rn4HVcyq7qQf7j6VtM9ZkcGne/5Fe+SRKyF5WfC8a6pzUAdmX1BJTItfTxpPZBBy7eN4TpPzcwgPNpGqn5Q6bAn8qZZ4qhRwK54dSfzet5MhATHW1IrO50TUbgNgpxkh2k90ezZogFIiGz5vmDvTE3HPm3MwPymMx9hLBGOaIwiCq55ceoCzTIe6Xlp58ARfYvC5pGICjxAA4YuxZU1wDkXX+e2ovH4dE5oYFqBN3SM5jCHQEepCsvLtuSHPM2xrJZ3zpWKanugFKGxDUErf9By8z6UTpGud3SUu2R20befS91xY52YQXY8Ords3tLOMWCZcLzp6Xg8Ne5AOinohJy42TDWFjLvhLVwGtYzenERty5lHA/YmxjEMUmXCviLr8LBK1t8D67frZiwsHfPb3u4hbs1TQr1XqNXcM1Tzd79VZlbcfiZ0r8HH8JDYnrn+++PdrQC2yhuRiCvRvX/Bv0S2t55F3xUKXWF1rv7Gf8A9pubL7r/RrrFLw39pRP9AS2Ojt3vz7xEsGyxT4osL/+A9mMo6YO1R48ePXr06NHjH8RPO3BFIbOKgtkAAAAASUVORK5CYII=
| 32 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
Your Next Co-Worker is AI—Here’s How to Work With It
|
https://www.peoplemattersglobal.com/article/technology/your-next-co-worker-is-aiheres-how-to-work-with-it-44974
|
Will AI take your job or make it better As automation reshapes industries the real shift isn t replacement it s transformation From chatbots to AI-driven...
| null |
2 months ago
|
People Matters Global
|
data:image/jpeg;base64,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
| 33 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
Sam Altman Says AI Agents Will Transform the Workforce in 2025
|
https://www.inc.com/ben-sherry/sam-altman-says-ai-agents-will-transform-the-workforce-in-2025/91103146
|
2025 could be the year that AI agents are integrated into the workforce and predicted they would “materially change the output of companies.”
|
TechnologySam Altman Says AI Agents Will Transform the Workforce in 2025In a new blog
post, the famous OpenAI CEO reflected on his firing, what the company could
do better, and a pursuit of ‘superintelligence.’ BY BEN SHERRY, STAFF REPORTER @BENLUCASSHERRYJan 6,
2025SHARELinkedInFacebookXBlueskyLinkOpenAI CEO Sam Altman. Photo: Getty Images Sam Altman says the two years since the launch of ChatGPT, a period that
has catapulted him to fame as the public face of the artificial
intelligence industry, have been the most “unpleasant years of my life so
far.” In a new blog post, Altman reflected on the path that he’s walked
since ChatGPT’s November 2022 start, including what he learned from his
very-public firing in 2023, and made a big prediction about AI’s impact in
2025. Here are the biggest takeaways from Altman’s January 2025 lengthy
blog post, titled “Reflections.” Altman’s firing still haunts him Altman
was publicly fired by OpenAI’s board in November 2023, just before
ChatGPT’s first birthday. Five days later, he was reinstated as CEO. In the
blog post, Altman reveals some personal details regarding the firing, which
happened over a video call while he was in Las Vegas. Looking back, he
says the whole event was a “big failure of governance by well-meaning
people, myself included,” but one that he believes has made him a more
thoughtful leader. Another lesson from the firing? The importance of having
a board with diverse viewpoints and experience handling unexpected
challenges. Featured VideoAn Inc.com Featured Presentation In particular,
Altman singled out two figures who he said “went so far above and beyond
the call of duty” to rescue Altman from his brief banishment: Airbnb
founder Brian Chesky and venture capitalist Ron Conway. Without going into
detail, Altman recalled “being in the foxhole” with Chesky and Conway, who
“used their vast networks for everything needed and were able to navigate
many complex situations. And I’m sure they did a lot of things I don’t know
about.” He believes in scaling laws Altman has long been a believer in
scaling laws, a mathematical assumption that the more data a neural network
is trained on, the smarter it becomes. In his blog post, he theorized that
businesses also have a scaling law: As growth increases, so does turnover.
Acknowledging that OpenAI’s executive team has seen a massive amount of
turnover since ChatGPT’s launch, Altman wrote that “startups usually see a
lot of turnover at each new major level of scale, and at OpenAI numbers go
up by orders of magnitude every few months.” According to Altman, the
fracturing of OpenAI’s C-suite, including the departures of chief
technology officer Mira Murati and chief scientist Ilya Sutskever, are a
natural result of OpenAI’s ascendancy. OpenAI’s structure, and its future
OpenAI’s leadership reportedly spent much of 2024 determining how to
transform its current structure as an entity with a capped for-profit arm
and a nonprofit arm into a more conventional moneymaking entity. Altman
wrote in his post that he had “no idea we would need such a crazy amount of
capital” to develop super-advanced artificial intelligence. To obtain that
kind of capital, OpenAI is planning on converting its for-profit arm into a
public benefit corporation. In an official statement released in December,
OpenAI wrote that “investors want to back us but, at this scale of capital,
need conventional equity and less structural bespokeness.” A key test of
this planned new OpenAI structure will be how the company sells enterprises
on AI agents, which are designed to take specific actions and automate
workflows. Altman wrote in his blog that 2025 could be the year that AI
agents are integrated into the workforce and predicted they would
“materially change the output of companies.” Beyond 2025, OpenAI is
turning its aim beyond useful tools to “superintelligence,” super-advanced
AI models capable of outperforming humans at nearly any task and ushering
in a new era of abundance and prosperity. “We love our current products,”
wrote Altman, “but we are here for the glorious future.” OpenAI’s naming
struggles Altman is effusive about OpenAI’s capabilities in nearly all
areas, save for one notable exception: naming stuff. The company has a
history of giving its new AI models and products confusing names like
GPT-4, GPT-4o, GPT-4o Mini, o1, and o1 Mini. In July 2024, when announcing
GPT-4o Mini, Altman responded to a post on X suggesting that OpenAI needed
to revamp its naming scheme with “lol yes we do.” In his blog post, Altman
says that originally, ChatGPT was named Chat With GPT-3.5, adding that
OpenAI is “much better at research than we are at naming things.” All
together, the post is nearly 2,000 words, so if you don’t feel like reading
the whole item, you’re in luck: When asked to summarize the screed in a
single sentence, ChatGPT 4o provided the following: “OpenAI’s journey over
the past nine years, marked by the launch of ChatGPT and transformative
progress in AI development, has been a mix of extraordinary innovation,
intense challenges, and a vision for creating beneficial AGI, culminating
in a reflection on resilience, gratitude, and the promise of a
super-intelligent future.” The early-rate deadline for the 2025 Inc. Power
Partner Awards is Friday, June 27, at 11:59 p.m. PT. Apply now. Top TechWeekly roundup of the latest in tech news
|
5 months ago
|
Inc.com
|
data:image/jpeg;base64,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
| 34 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
AI Integration and Upskilling
|
https://www.pwc.com/gx/en/services/workforce/ai-integration-and-upskilling.html
|
Explore how GenAI is transforming the workforce through upskilling and creating new opportunities for growth and efficiency.
|
Building a Future-Ready Workforce: AI Integration and Upskilling
No subhead or author information is available in the provided HTML snippet.
The publication date of the article is not specified in the provided HTML snippet.
The main text of the article is not provided in the given HTML snippet. The snippet appears to contain navigation menus, links, and other non-article content. To extract the main article content, more context or a different part of the HTML would be necessary.
|
2 months ago
|
PwC
|
data:image/jpeg;base64,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
| 35 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
Spring Catalyst Launches AI Workforce Training to Bridge Skills Gap | EdTech News | ETIH
|
https://www.edtechinnovationhub.com/news/spring-catalyst-tackles-ai-workforce-gap-with-training-and-team-optimization
|
Spring Catalyst, a business team optimization company, has launched to help organizations navigate AI adoption, workplace transformation,...
|
Spring Catalyst tackles AI workforce gap with training and team optimization
Written By Emma Thompson
21 Mar
Spring Catalyst, a business team optimization company, has launched to help organizations navigate AI adoption, workplace transformation, and team collaboration.
The company provides structured training, professional development programs, and customized workshops that integrate AI literacy with workforce skill-building.
Bridging team optimization and AI training
A recent Multiverse report highlights a growing gap between technology investment and workforce development. While 69% of FTSE 100 firms prioritize technology, only 7% focus on training and upskilling employees. Euan Blair, CEO of Multiverse, stated, "What we can see in the data is that investment in technology is skyrocketing but skills and training has stagnated."
The disconnect can potentially leading to workplace tensions, as businesses implement AI without preparing employees to work alongside it effectively.
Spring Catalyst aims to close this gap by providing structured training and coaching that enhances both human-to-human collaboration and human-machine partnerships. The company delivers team workshops designed to align business strategy with collaboration, using design thinking to encourage problem-solving. It also provides executive coaching focused on leadership presence and communication in AI-enabled workplaces.
For organizations prioritizing career development, Spring Catalyst develops structured growth plans that integrate AI training with professional advancement, particularly for businesses managing return-to-office, hybrid, and remote work models. The company also designs and manages corporate events, including executive offsites, bootcamps, and industry summits, to strengthen stakeholder engagement and align teams with strategic objectives.
Elizabeth Zaborowska, Founder and CEO of Spring Catalyst, highlighted the need for practical AI literacy:
“We facilitate engaging experiences for individuals and groups to unleash their creative ideation, human-to-human communication and teamwork while honing human-machine partnership skills, all in the context of achieving defined business goals. With generative AI reshaping workplaces and agentic AI going mainstream, our mission is to bridge business team optimization and AI literacy.”
Adapting to workplace shifts and AI uncertainty
Spring Catalyst’s programs address the broader challenges of AI adoption and workforce transformation. Many professionals struggle with AI integration, and businesses are facing resistance from employees who feel unprepared for rapid technological changes.
Shezmeen Hudani, VP of Marketing at Brave, described the impact of a recent Spring Catalyst workshop:
"The creative ideation workshop Spring Catalyst facilitated for our team brought together our cross-functional, globally distributed team of executives, managers, and individual contributors in a way that fostered genuine connection while producing actionable results. We left energized both personally and professionally, with a roadmap of marketing initiatives we were excited to implement."
Manoj Saxena, Founder and CEO of Responsible AI Institute and Trustwise, emphasized the importance of AI-focused team training:
"The Trustwise Summit organized by this team showcased exceptional attention to detail and fostered meaningful dialogue. Spring Catalyst builds on my years of positive experiences with Liz’s teams at Bhava Communications. Their focus on the human element while helping organizations adopt AI responsibly aligns perfectly with our mission at the Responsible AI Institute ensuring AI enhances rather than diminishes human potential."
|
2 months ago
|
EdTech Innovation Hub
|
data:image/jpeg;base64,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
| 36 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
AI Agents Are Essential To The Future Of Work
|
https://www.forbes.com/sites/johnwinsor/2025/03/11/ai-agents-are-essential-to-the-future-of-open-talent-and-workforce-transformation/
|
AI agents are transforming how work gets done by automating complex processes, augmenting human decision-making, and even acting as autonomous contributors.
|
AI agents are transforming the workforce, working alongside humans and
freelancers to drive the ... More future of work.Matheus BertellFor years, we’ve been talking about Open Talent—the idea that work is no
longer constrained by geography or employment status. The best talent
doesn’t necessarily work for you full-time; instead, it exists in a vast,
global network that can be accessed on demand through digital platforms.
Companies that embrace Open Talent move faster, reduce costs, and tap into
expertise that would otherwise be out of reach.But now, a third dimension has entered the equation: AI agents.Just as talent platforms revolutionized access to human expertise, AI
agents are transforming how work gets done by automating complex processes,
augmenting human decision-making, and even acting as autonomous
contributors. If Open Talent is about leveraging the best people for the
right tasks, then it’s time we recognize that not all “workers” are human
anymore.This shift isn’t theoretical—it’s already happening. In just the past few
weeks, Salesforce announced AgentExchange, a platform to source and deploy
synthetic AI agents alongside human talent, signaling a major shift in how
companies approach workforce management. Meanwhile, OpenAI’s plans to offer
“PhD-level” AI agents for as much as $20,000 per month demonstrate how AI
is rapidly evolving from a tool into a premium workforce solution.
Organizations that fail to integrate AI agents into their workforce
strategies will be left behind.The Evolution of Open Talent: From People to Platforms to AgentsOpen Talent started as a response to a broken system. Traditional hiring
models—long-term employment contracts, rigid job descriptions, and costly
in-house teams—were too slow and inefficient for a world that demands
agility.Digital talent platforms like Upwork and Topcoder enabled companies to
access freelancers and contingent workers on demand. Meanwhile, internal
talent marketplaces helped organizations redeploy employees dynamically,
focusing on skills rather than roles.MORE FOR YOUNow, AI agents are emerging as the next evolution of this trend. Unlike
traditional software, AI agents don’t just follow instructions—they think,
adapt, and act autonomously. Instead of waiting for a human prompt, they
monitor systems, make decisions, and execute tasks proactively.Freelancers freed companies from the limitations of full-time hiring,
allowing businesses to access specialized talent on demand. Talent
platforms then took this further by eliminating geographic constraints,
enabling organizations to tap into a global workforce. Now, AI agents are
pushing the boundaries even further by removing the constraints of human
availability and cognitive capacity. It’s no longer just about finding the
right person for the job—the very definition of the job itself is being
redefined.Managing the New Hybrid Workforce: Humans, Freelancers, and AI AgentsCompanies now operate within a new hybrid workforce that includes full-time
employees, who serve as long-term strategic contributors; freelancers and
gig workers, who provide flexible, on-demand expertise; and AI agents,
which function as autonomous digital workers. Each plays a distinct role,
requiring leaders to rethink how they integrate these different workforce
components effectively. This shift demands new strategies for
collaboration, performance measurement, and workforce management to ensure
seamless interaction between human and AI contributors. function loadConnatixScript(document) { if (!window.cnxel) { window.cnxel
= {}; window.cnxel.cmd = []; var iframe = document.createElement('iframe');
iframe.style.display = 'none'; iframe.onload = function() { var iframeDoc =
iframe.contentWindow.document; var script =
iframeDoc.createElement('script'); script.src =
'//cd.elements.video/player.js' + '?cid=' +
'62cec241-7d09-4462-afc2-f72f8d8ef40a'; script.setAttribute('defer', '1');
script.setAttribute('type', 'text/javascript');
iframeDoc.body.appendChild(script); }; document.head.appendChild(iframe);
const preloadResourcesEndpoint =
'https://cds.elements.video/a/preload-resources-ovp.json';
fetch(preloadResourcesEndpoint, { priority: 'low' }) .then(response => { if
(!response.ok) { throw new Error('Network response was not ok',
preloadResourcesEndpoint); } return response.json(); }) .then(data => {
const cssUrl = data.css; const cssUrlLink = document.createElement('link');
cssUrlLink.rel = 'stylesheet'; cssUrlLink.href = cssUrl; cssUrlLink.as =
'style'; cssUrlLink.media = 'print'; cssUrlLink.onload = function() {
this.media = 'all'; }; document.head.appendChild(cssUrlLink); const hls =
data.hls; const hlsScript = document.createElement('script'); hlsScript.src
= hls; hlsScript.setAttribute('defer', '1'); hlsScript.setAttribute('type',
'text/javascript'); document.head.appendChild(hlsScript); }).catch(error =>
{ console.error('There was a problem with the fetch operation:', error);
}); } } loadConnatixScript(document); One of the most critical challenges is integration infrastructure. AI
agents cannot operate in isolation—they need workflows that allow seamless
collaboration with humans and freelancers. For instance, an AI-driven
customer success agent that flags at-risk accounts should be able to
escalate complex cases to human representatives without friction.
Organizations must build systems that enable AI to complement human
expertise rather than replace it.Another key consideration is performance metrics. Traditional KPIs focused
on employee hours and individual output no longer apply in a workforce that
includes AI agents working 24/7. Instead, organizations should shift to
measuring total task completion speed, accuracy, and effectiveness across
AI-human teams. Productivity in this new landscape isn’t just about
effort—it’s about outcomes.Beyond technical integration, cultural intelligence is crucial. Just as
companies had to develop norms for incorporating freelancers into corporate
culture, they must now navigate new dynamics in working with AI. Employees
need to trust AI-driven recommendations, and businesses must ensure
transparency in decision-making. Addressing these cultural shifts will
determine how well organizations adopt and benefit from AI agents.With AI making real-time decisions that impact people’s lives,
organizations must also implement a security and ethics framework.
Accountability, transparency, and ethical safeguards should be built into
AI-powered processes. For example, if an AI agent denies a loan
application, who is responsible for explaining the decision and addressing
potential bias? Companies must proactively manage these risks to maintain
trust and compliance.Finally, the evolving workforce requires training and development
strategies that go beyond technical skills. Employees will need to learn
not just how to operate AI but also how to collaborate with it effectively.
For example, project managers may need training on overseeing teams where
some “members” are AI agents. As AI continues to play a larger role in
work, developing these skills will be essential for both employees and
businesses to thrive.By embracing these shifts, companies can successfully manage a workforce
that blends human talent, flexible freelancers, and AI-powered
automation—creating a more adaptive and efficient organization for the
future.Open Talent Is No Longer Just About PeopleThe Open Talent movement has always been about breaking down barriers to
getting work done. First, it meant moving beyond full-time employees. Then,
it meant tapping into a global talent network. Now, it means recognizing AI
agents as part of the workforce. Leaders who successfully integrate AI into
their talent strategies won’t just optimize costs—they’ll unlock new speed,
efficiency, and innovation levels. The organizations that thrive in the
next decade won’t be the ones with the biggest headcount. They’ll have the
smartest, most adaptive workforce—a seamless blend of humans, freelancers,
and AI agents.
|
3 months ago
|
Forbes
|
data:image/jpeg;base64,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
| 37 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
Section helps organizations build AI-powered workforces with Claude
|
https://www.anthropic.com/customers/section
|
Section, an AI workforce transformation company, uses Claude to help companies and individuals get proficient, confident, and effective with AI.
|
## Headline
Section helps companies navigate AI transformation with Claude
## Subhead
None
## Author(s)
None
## Publication date
None
## Main text of the article
Section, an AI workforce transformation company, uses Claude to help companies and individuals get proficient, confident, and effective with AI. Section uses Claude to inform and develop AI upskilling programs, advise clients on AI transformation, and power its new AI coach, ProfAI.
Section’s AI transformations start with having a fully AI-powered workforce internally—and extend to integrating AI in all products and services. By partnering with Anthropic, Section has seen:
* 82% of team members use Claude, compared to a 5% benchmark for the overall workforce
* 50% of the team achieving at least 10% productivity gains
## Helping organizations build AI-powered workforces
Section was founded nearly six years ago as a leadership training provider building the business school of the future. In early 2023, the company pivoted to focus on AI upskilling after Section’s CEO Greg Shove started exploring generative AI.
“I quickly realized that AI was a technological shift akin to the early internet, which at the time was a huge boon to my career,” says Shove. “I told the team, ‘We’ll be infusing AI into every aspect of our business, from optimizing internal operations to completely reimagining our learning experience.’”
In the last two years, Section has evolved to help companies build their AI transformation plans, upskill their workforce on AI, and redesign high-impact workflows to leverage AI.
"AI is crashing into the workforce, but the workforce isn’t ready. According to our data, less than 10% of workers are AI-proficient," says Taylor Malmsheimer, COO at Section.
## Choosing Claude as a strategic thought partner
Section's journey with Claude began with a spontaneous experiment. As Shove and Malmsheimer prepared for an upcoming board meeting in August 2023, they decided to test how AI might help. They uploaded their board materials to several AI platforms—asking each to role-play as a board member and provide potential questions and feedback.
The results were eye-opening. "Claude blew us away," said Malmsheimer. After the board meeting, they compared their notes against Claude's predictions. "Claude identified 92% of the feedback the board brought up." This moment was a catalyst for Section, revealing AI's potential beyond simple automation to serve as a genuine strategic thought partner.
Claude stood out for its ability to engage in nuanced, strategic conversations. Malmsheimer said, "When I upload a document to ChatGPT versus Claude, Claude feels more true to how a business person would respond." While Section uses multiple AI models, they consistently turn to Claude as their strategic thought partner. The impact extends beyond metrics to boosting confidence. Malmsheimer shared, "I’m a relatively new executive. I haven’t been in many board meetings. It’s valuable to feel more prepared and confident going into those conversations."
## Measuring ROI
Since then Section has rolled out Claude for teams to its 25-person team. Internal use cases include:
* The marketing team using Claude Projects to build a “voice of the customer” repository where they’ve uploaded survey data and market research, and work with Claude to hone the company’s positioning and ideal customer profile
* The education team uses Claude to develop the framework and flow of presentation decks for live lectures in Section bootcamp programs
* The leadership team uses Claude as a strategic thought partner, getting feedback on new initiatives and strategic plans
Section's use of Claude has fundamentally changed the company's operations. Malmsheimer said, "If I took it away, there would be a clear impact on our productivity and efficiency." The ROI is clear—with half the team achieving at least a 10% productivity gain.
The company spends about $20K per year on AI accounts for their 25-person team, including Claude. With half the team getting a 10% productivity gain already, they estimate they’re saving $150-200K a year, or 1-2 headcount.
“We’re seeing the results already in our business model,” Malmsheimer said. “We’ll 8X the number of employees we upskill this year, yet we’re spending less on delivery and administration costs than we did last year.”
## Building the future of AI workforce transformation
Section envisions transforming how organizations and individuals adapt to AI. Through their partnership with Anthropic, they're launching ProfAI, an AI-powered coach that delivers personalized, contextual learning at scale.
"With AI, we've been able to recreate the value of a personal, 1-on-1 tutor for every single student," says Malmsheimer. While Section initially prototyped ProfAI with GPT-4, they ultimately chose Claude for its superior performance as a strategic thought partner. "We've found that Claude's feedback and tone better aligns with what we need to create an engaging user experience."
With plans to upskill 100,000 employees on AI this year and one million the next, Section and Anthropic are empowering a generation of confident workers to thrive in an AI-powered future.
|
3 months ago
|
Anthropic
|
data:image/png;base64,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
| 39 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
The critical role of strategic workforce planning in the age of AI
|
https://www.mckinsey.com/capabilities/people-and-organizational-performance/our-insights/the-critical-role-of-strategic-workforce-planning-in-the-age-of-ai
|
Artificial intelligence has increased uncertainty about talent management. We look at how organizations can harness AI to improve strategic...
|
The critical role of strategic workforce planning in the age of AI
February 26, 2025
By Neel Gandhi, Sandra Durth, and Vincent Bérubé, with Charlotte Seiler, Kritvi Kedia and Randy Lim
Gen AI has increased uncertainty about workforce skills and capabilities. Organizations that harness AI-driven innovation find it makes strategic thinking and talent planning easier.
**Forward-thinking organizations** understand that talent management is a critical component of business success. S&P 500 companies that excel at maximizing their return on talent generate an astonishing 300 percent more revenue per employee compared with the median firm, [McKinsey research shows](https://www.mckinsey.com/capabilities/people-and-organizational-performance/our-insights/increasing-your-return-on-talent-the-moves-and-metrics-that-matter).
Byline
In many cases, these top performers are using strategic workforce planning (SWP) to stay ahead in the talent race, treating talent with the same rigor as managing their financial capital. Under this analytical approach, organizations don’t wait for events or the market to dictate a response. Instead, they take a three-to-five-year view, using SWP to anticipate multiple situations so that they have the right number of people with the right skills at the right time to achieve their strategic objectives.
SWP offers greater fluidity of resources and increases efficiencies by allowing organizations to understand their future capacity and capability gaps. It provides data-backed insights into potential upskilling and reskilling opportunities for existing talent beyond sourcing and recruitment. And it links human resources, operations, and financial priorities with broader organizational capabilities to focus on dynamic, systemwide resource allocation.
SWP is not a novel concept. What is new is how it can help companies address the rapid pace of technological change affecting workers across the globe—particularly with the emergence of generative AI. [Gen AI is changing the way people work](https://www.mckinsey.com/capabilities/people-and-organizational-performance/our-insights/gen-ais-next-inflection-point-from-employee-experimentation-to-organizational-transformation) and the nature of their jobs, creating profound implications for employment (Exhibit 1).
The future of work will include shifts in demand for occupations, skills upgrades, automation increases, and productivity challenges, further emphasizing the need to manage talent proactively. Indeed, McKinsey research shows that up to 30 percent of current worked hours [may potentially be replaced through automation by 2030](https://www.mckinsey.com/mgi/our-research/a-new-future-of-work-the-race-to-deploy-ai-and-raise-skills-in-europe-and-beyond). In this article, we discuss five best practices used by companies that have faced these shifts head-on by building a holistic talent plan through SWP.
### Strategic workforce planning: Align talent to enable business strategy
While some companies have successfully deployed strategic workforce planning in the past to reshape their workforces to meet future market requirements, there are also cautionary tales of organizations that have struggled with the transition to new technologies. For instance, the rapid innovation of smartphones left leading players such as Nokia behind.
Periods of rapid technological change highlight the importance of predicting and responding to challenges with a dynamic talent planning model. Gen AI is not just another technological advancement affecting specific tasks; it represents [a rewiring of how organizations operate and generate value](https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier). This transformation goes beyond automation, innovation, and productivity improvements to fundamentally alter the ratio of humans to technology in organizations.
By having SWP in place, organizations can react more quickly and intentionally to these changes, monitoring leading and lagging indicators to stay ahead of the curve. This approach allows for identifying and developing new capabilities, ensuring that the workforce is prepared for the evolving demands these changes will bring.
SWP gives a fact base to all talent decisions so that trade-offs can be explicitly discussed and strategic decisions can be made holistically—and with enterprise value top of mind. Moreover, SWP enables a more rapid redeployment of resources, ensuring that talent is allocated where it is most needed in real time. This agility helps organizations move away from traditional “hire–fire” cycles toward more sustainable through-cycle capacity management. By embedding SWP into business as usual, companies can better anticipate workforce needs, respond to changing demands, and ensure long-term agility and resilience.
Five practices help companies prepare for the disruptions that gen AI and other technological changes bring.
### Prioritize talent investments as much as financial investments
Successful organizations recognize that their workforce is a strategic asset and investing in talent development and retention is [essential for long-term health](https://www.mckinsey.com/capabilities/people-and-organizational-performance/our-insights/organizational-health-is-still-the-key-to-long-term-performance). Employees represent both an organization’s largest investment and its deepest source of value.
### Consider both capacity and capabilities
Once organizations prioritize talent as an important metric for business success, they can identify the specific skills and competencies required for critical roles that drive higher performance and create more value.
To measure performance in critical roles, organizations can conduct an outside-in search to understand the skills in the highest demand. Having a talent baseline helps with planning capability and head count forecasts.
### Plan for multiple business scenarios
Supply and demand forecasting is critical to identifying future capacity requirements. By implementing a scenario-based approach, organizations create flexibility for rapidly changing industry conditions.
Approaches to forecasting can vary from simple top-down calculations that use historical data to more complex bottom-up approaches that rely on detailed financial forecasts, KPIs, and benchmarking data. Supply and demand projections can be used to identify potential future talent gaps and overages across business units.
### Take an innovative approach to filling talent gaps
HR and business leaders routinely look to external talent to fill open roles, sometimes viewing these hires as a magic solution to skills gaps. But today’s rapidly changing technological landscape means that filling workforce shortfalls through external recruitment at the role level is often not enough.
Leaders should instead weigh the time and cost implications of internal versus external hires. Paths include internal redeployments where complementary skills are available, reskilling or upskilling existing talent, acquisitions, and outsourcing.
The ability to choose strategically relies on a strong understanding of several variables, including talent pools, which can range from global to extremely local. Leaders should understand where talent resides—in which country, in which types of companies, and in which universities and PhD programs. They can also analyze the relative difficulty and cost of having employees shift roles compared with sourcing talent externally.
Hiring is cost intensive, since it takes time to onboard and ramp up an employee into a new role. While reskilling and upskilling also take time and resources, leaders can use these levers strategically, track their relative success, and shift gears as needed (Exhibit 2).
The goal should be to build an SWP capability that brings in the right talent to fill the right roles while investing in learning and development for current staff. Organizations that can identify the capabilities they need for the future are able to build tailored, [skill-based learning journeys](https://www.mckinsey.com/capabilities/people-and-organizational-performance/our-insights/the-organization-blog/is-your-organization-harnessing-the-proven-power-of-learning). In addition, finding ways to reskill and upskill existing employees to take on new roles can reduce recruiting costs. Talent that is currently in roles that are becoming obsolete may have skill adjacencies that make them suitable for an emerging role or skill.
A global telecommunications company wanted to defend its leadership position in the industry and build a state-of-the-art 5G network within three to five years. As part of this transition, it identified the 12 top competencies it would need to support the 5G business and mapped those to ten critical roles it saw as reflecting the capabilities and capacity needed over the next several years.
After analyzing market availability, leaders realized that there was a shortage of talent for critical roles because of competition from telecom and tech companies searching for the same profiles. As a result, the company shifted its talent strategy from recruiting to developing and upskilling tech talent within the organization. It was able to forecast future talent supply and demand and create an action plan to close the gaps.
A “future of work” hub was created to ensure in-house talent availability by coordinating upskilling efforts. As its transformation effort got underway, human resources, strategy, and finance leaders used advanced analytics to prioritize policies related to hiring, outsourcing, location strategy, upskilling, and retention.
A large media organization took a novel approach...
|
3 months ago
|
McKinsey & Company
|
data:image/jpeg;base64,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
| 40 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
ManpowerGroup's New AI Lab Analyzes 22B Data Points to Predict Future of Work Across 70 Countries
|
https://www.stocktitan.net/news/MAN/manpower-group-launches-work-intelligence-lab-to-lead-ai-powered-y4nnc51dva0k.html
|
"What sets the Work Intelligence Lab apart from traditional think tanks is its real-time pulse on the global labor market, powered by more than...
|
ManpowerGroup Launches "Work Intelligence" Lab to Lead AI-Powered Workforce Transformation
No subhead or author is present in the given text.
May 13, 2025
ManpowerGroup (MAN) has launched the Work Intelligence Lab, a pioneering research hub that leverages real-time workforce data from over 70 countries to help organizations navigate AI and automation's impact on jobs. The initiative comes as 53% of employers are already using AI tools in hiring and onboarding processes.
The Lab utilizes ManpowerGroup's extensive global labor market presence and 22 billion data points to provide real-time insights into hiring trends, worker sentiment, and employer demand. Led by CCO Becky Frankiewicz and VP of Global Insights Mara Stefan, the platform aims to analyze workforce trends and develop data-driven solutions through a co-creation model that directly involves clients in the innovation process.
|
1 month ago
|
Stock Titan
|
data:image/png;base64,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
| 41 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
Lenovo: ‘True digital transformation isn’t adopting AI tools – it’s reimagining the entire workplace’
|
https://www.unleash.ai/digital-adoption/lenovo-true-digital-transformation-isnt-adopting-ai-tools-its-reimagining-the-entire-workplace/
|
Understanding and executing digital transformations · Lack of vision as to how digital workplace transformation can support strategic goals...
|
Lenovo: ‘True digital transformation isn’t adopting AI tools – it’s reimagining the entire workplace’
May 27, 2025 at 3:21 PM GMT
By: Lucy Buchholz
Lenovo’s Vice President and General Manager, Digital Workplace Solutions tells UNLEASH how and why businesses need more than just AI tools to undergo a successful digital transformation.
With the emergence of Gen AI, more businesses are recognizing that they need to undergo digital transformation.
By taking a deep dive in Lenovo’s research, UNLEASH explores why it’s so important for businesses to embrace digital transformation, the biggest barriers preventing it, and how they can be overcome.
Rakshit Ghura, Lenovo’s Vice President and General Manager of Digital Workplace Solutions shares his thoughts exclusively with UNLEASH.
Business leaders are well aware of the impact Gen AI is having – and will continue to have – on the workplace.
Yet are they properly equipped to cope with the changes needed to keep pace with the current digital landscape?
According to recent research from Lenovo, 81% of 600 IT leaders surveyed across the globe shared that although creating “productive and engaging workplaces” is a business priority, less than half had confidence that their current digital environment was able to support this.
While speaking exclusively to Lenovo’s Vice President and General Manager of Digital Workplace Solutions, Rakshit Ghura, UNLEASH explores Lenovo’s latest report: **Igniting Real Workplace Transformation**.
80% of leaders recognize the transformative capabilities of Gen AI, according to Lenovo’s new research. Yet 89% understand that to achieve these benefits, businesses need to embrace more than just new tools.
The research from the $18.8 billion revenue business states that “transformation is how you empower employees to use Gen AI,” which will then help lead them to their full potential.
However, Lenovo identified the seven key barriers blocking workplace transformation:
1. Lack of vision as to how digital workplace transformation can support strategic goals
2. Other IT initiatives take precedence
3. Lack of understanding
4. Insufficient time
5. Difficulty building a business case
6. Lack of buy-in from senior leaders
7. Insufficient IT budget
These challenges impact the 97% of organizations that know they must begin their transformation – although 60% admit they have not yet started.
IT issues, such as security, sustainability, and Gen AI, were found to be seen as more urgent issues among business leaders, compared to digital transformations.
Yet 44% of IT leaders explained that not understanding how to digitally transform their organization is one of their top three challenges.
Although the report describes this confusion as “entirely reasonable” given the risk, scope and commitment required, Ghura urges businesses to understand it’s not just about technology.
“True transformation isn’t just about adopting AI tools. It’s about reimagining the entire workplace,” he tells UNLEASH.
The organizations that lead with clarity, purpose, and a people-first mindset will be the ones to unlock the full potential of generative AI.”
To embrace this, a comprehensive approach to tackle intersectional challenges, HR leaders should therefore plan to overcome common the most common obstacles; change management, skills gaps, tech integration complexities, and cross-functional alignment to improve the transformation process.
To do so, Lenovo urges businesses to take three simple steps to execution: holistic thinking, optimizing spend, and accepting expert guidance.
Firstly, to think holistically, leaders should focus on developing a “comprehensive roadmap” to address these four key challenges, while considering the interdependencies between the areas.
Secondly, by implementing a as-a-Service model for devices, businesses can make transformations more financially viable – freeing up capital, increasing flexibility, and ensuring there’s enough access to the latest technology.
Finally, the report suggests partnering with other organizations that have already achieved a successful transformation, as a way to help predict and overcome unforeseen challenges, while smoothening and quickening the process.
In the report, Ghura added: “You can give an employee the best tool to improve their workplace experience, but if they aren’t educated on how to use it, there will be slow adoption and you won’t see the business benefits.”
So this begs the question – does your organization have the right tools to complete a successful digital transformation? And if so, do employees know how to use it correctly?
|
3 weeks ago
|
Unleash
|
data:image/jpeg;base64,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
| 42 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
The Promise of AI to Transform Utility Workforces
|
https://www.trccompanies.com/insights/the-promise-of-ai-to-transform-utility-workforces/
|
Let's consider how AI and automation are transforming the utility industry, and the workforce challenges it helps solve.
|
The Promise of AI to Transform Utility Workforces
By leveraging AI and machine learning, utilities can unlock new levels of efficiency, productivity, and customer satisfaction.
Published on August 8, 2024
TRC Companies
August 8, 2024
The utility industry is on the cusp of a revolution, driven by the increasing use of artificial intelligence (AI) and machine learning (ML). As the sector continues to evolve, AI is poised to transform utility workforces, enabling them to work more efficiently, effectively, and safely.
In this insight, we will explore the current state of AI in the utility industry, its potential applications, and the benefits it can bring to utility workforces. We will also examine the challenges associated with implementing AI and provide guidance on how utilities can successfully integrate this technology into their operations.
The Current State of AI in Utilities
AI is not new to the utility industry. In fact, many utilities have already begun to leverage AI and ML to improve their operations, particularly in the areas of predictive maintenance, grid management, and customer service.
However, despite this progress, the industry still lags behind other sectors in terms of AI adoption. According to a recent survey, only 12% of utilities have implemented AI solutions, compared to 25% of companies in other industries.
Potential Applications of AI in Utilities
So, where can AI be applied in the utility industry? The answer is almost everywhere. From predictive maintenance and grid management to customer service and cybersecurity, AI has the potential to transform numerous aspects of utility operations.
Some potential applications of AI in utilities include:
1. Predictive Maintenance: AI-powered predictive maintenance can help utilities identify potential equipment failures before they occur, reducing downtime and improving overall system reliability.
2. Grid Management: AI can be used to optimize grid operations, predict energy demand, and detect anomalies in the system.
3. Customer Service: Chatbots and virtual assistants powered by AI can help utilities provide better customer service, answering frequently asked questions and helping customers with simple issues.
4. Cybersecurity: AI-powered systems can help utilities detect and respond to cyber threats in real-time, improving the overall security of their systems.
Benefits of AI for Utility Workforces
The benefits of AI for utility workforces are numerous. Some of the most significant advantages include:
1. Improved Efficiency: AI can automate many routine tasks, freeing up utility workers to focus on more complex and high-value tasks.
2. Enhanced Productivity: By providing real-time data and insights, AI can help utility workers make better decisions and work more effectively.
3. Increased Safety: AI-powered systems can help utilities identify potential safety risks and take steps to mitigate them, improving the overall safety of their workers.
4. Better Customer Satisfaction: AI-powered chatbots and virtual assistants can help utilities provide better customer service, improving customer satisfaction and loyalty.
Challenges Associated with Implementing AI
While the benefits of AI for utility workforces are significant, there are also challenges associated with implementing this technology. Some of the most common obstacles include:
1. Data Quality: AI requires high-quality data to function effectively. Utilities must ensure that their data is accurate, complete, and well-organized.
2. Talent and Skills: Utilities need workers with the necessary skills and expertise to implement and maintain AI systems.
3. Change Management: Implementing AI requires significant changes to utility operations and culture. Utilities must be prepared to manage this change effectively.
4. Cybersecurity: AI systems can be vulnerable to cyber threats. Utilities must take steps to protect their AI systems and data from these threats.
Conclusion
The promise of AI to transform utility workforces is significant. By leveraging AI and ML, utilities can unlock new levels of efficiency, productivity, and customer satisfaction. However, to realize this potential, utilities must be prepared to address the challenges associated with implementing AI.
By providing guidance on how to overcome these obstacles, utilities can successfully integrate AI into their operations and achieve the many benefits this technology has to offer.
As the utility industry continues to evolve, one thing is clear: AI is here to stay. Utilities that embrace this technology and invest in the necessary talent, skills, and infrastructure will be well-positioned for success in the years to come.
Learn more about how TRC can help your utility company leverage AI and ML to improve operations and customer satisfaction.
Contact Us
Go to News & Thought Leadership page
About the Author
TRC Companies is a leading provider of professional services, including engineering, environmental consulting, and construction management.
Learn more about TRC Companies and our services.
Contact Us
Go to Company page
Events
Insights
News
Regulatory Updates
Resources
Videos
Webinars
White Papers / Reports
Offices
Company
Careers
The promise of AI to transform utility workforces is significant, and utilities that invest in this technology will be well-positioned for success in the years to come. By leveraging AI and ML, utilities can unlock new levels of efficiency, productivity, and customer satisfaction, and improve the overall safety and reliability of their operations.
|
3 months ago
|
TRC Companies
|
data:image/jpeg;base64,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
| 43 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
Industry Insights: Workforce transformation, challenges in AI usage
|
https://www.newscaststudio.com/2025/02/14/industry-insights-workforce-transformation-challenges-in-ai-usage/
|
The discussion explores the evolving skill requirements for broadcast professionals as AI automation reshapes traditional roles.
|
Industry Insights: Workforce Transformation Challenges in AI Usage
By [Author's Name]
February 14, 2025
The broadcast industry is on the cusp of a significant transformation, driven by the increasing adoption of artificial intelligence (AI) and machine learning (ML) technologies. As AI-powered tools and systems become more prevalent, they are poised to revolutionize various aspects of the industry, from content creation and distribution to advertising and viewer engagement.
However, this transformation also presents significant challenges, particularly when it comes to the workforce. The integration of AI and ML requires a unique set of skills, and many industry professionals may need to adapt to new roles and responsibilities.
One of the primary challenges is the need for upskilling and reskilling. As AI takes over routine and repetitive tasks, professionals will need to focus on higher-value tasks that require creativity, critical thinking, and problem-solving skills. This may require significant investment in training and education, as well as a willingness to embrace new technologies and workflows.
Another challenge is the potential for job displacement. As AI automates certain tasks, there may be a reduction in the number of jobs available in certain areas. This could lead to significant disruption for some professionals, particularly those in roles that are heavily reliant on manual processes.
Despite these challenges, there are also opportunities for growth and innovation. AI and ML can enable the creation of new and innovative content, such as personalized recommendations and interactive experiences. They can also help to improve the efficiency and effectiveness of various industry processes, from content distribution to advertising sales.
To navigate these challenges and opportunities, industry leaders will need to develop a strategic approach to workforce transformation. This may involve investing in training and education, as well as implementing new workflows and processes that take advantage of AI and ML capabilities.
Ultimately, the successful integration of AI and ML into the broadcast industry will require a collaborative effort between industry leaders, professionals, and technology providers. By working together, we can unlock the full potential of these technologies and create a more efficient, effective, and innovative industry for the future.
|
4 months ago
|
NewscastStudio
|
data:image/jpeg;base64,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
| 44 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
The AI-Powered Workforce: A CEO’s Roadmap to Competitive Advantage
|
https://www.td.org/content/atd-blog/the-ai-powered-workforce-a-ceo-s-roadmap-to-competitive-advantage
|
A closer look at six strategic actions that executive teams should take to prepare L&D for the age of AI.
|
The AI-Powered Workforce: A CEO’s Roadmap to Competitive Advantage
A closer look at six strategic actions that executive teams should take to prepare L&D for the age of AI.
By Brandon Carson and Markus Bernhardt
Fri Feb 21 2025
Several factors determine successful implementation of artificial intelligence (AI) across an enterprise, and it’s critical for a business to formulate a clear AI strategy to ensure that their workforce can deliver sustained value from AI implementation. Before the workforce adopts AI, they need to understand its benefits, trust how it’s implemented and used, and receive the training and support to leverage it most efficiently and productively.
PWC forecasts that AI will add nearly $16 trillion to global economic output by 2030. And according to the World Economic Forum’s latest Future of Jobs survey, 39 percent of the workforce’s skills will be transformed or become outdated from 2025–2030. This skill instability brings a daunting paradox to companies: How can they maximize value from investment in AI while simultaneously preparing their workforce to execute the strategies that result from that investment?
Companies must strengthen their data systems and processes, develop workforce capability, and establish clear AI guardrails—all before implementation begins. Organizations that invest thoughtfully across these areas will be better positioned to realize AI’s long-term potential.
We must proactively develop our workforce’s AI skills to maximize the value we get from this technology. By harmonizing implementation of both smart technology decisions and strategic workforce skilling and development, companies will accelerate their long-term impact with AI and grow business value.
The first step is to recognize that the L&D function must become a key component in the overall business strategy and needs to evolve its operating model. Corporate L&D is a critical component in ensuring a substantial return on AI investments.
Why does this matter now? From the perspective of work, the sheer power and promise of AI offers a transformative opportunity, moving from a landscape of manual processes and skills gaps to an era of enhanced productivity, innovation, and growth. However, with this transformation comes the responsibility to manage the workforce transition.
We’ve identified six strategic actions that executive teams should take to prepare L&D for the age of AI. These actions help ensure organizations are ready as AI ushers in a new era of work:
1. Transform AI Understanding Into Strategic AI Literacy and Governance
2. Integrate Fragmented Training Into a Cohesive AI and Workforce Development Approach
3. Align Training Solutions With Business Development Strategy
4. Consolidate Scattered AI Initiatives Under Strategic Alignment and Governance
5. Enhance Traditional Training Through Augmented Performance Support
6. Distribute Centralized Control to Enable Departmental Learning Autonomy
These six strategic actions provide the foundation for transforming L&D in the age of AI. Implementing them demands a fundamental shift in how organizations view both L&D and AI itself. In a world where AI and automation are transforming every aspect of business, L&D’s role should be reconsidered, rethought, and re-architected to more effectively guide organizations through this workplace transformation.
As AI matures, it will take over routine tasks and even create its own tools to get work done as it becomes our coworker rather than our assistant. People will need to focus more on developing deep, specialized knowledge in their fields.
The paradigm shift is moving people away from a tools focus to a skills focus working with AI. As L&D departments lead their companies toward skills-powered development, they must bridge two worlds, developing human talent through thoughtful AI integration to help organizations thrive both today and tomorrow.
The re-architected role of L&D places them in a unique position to drive organizational transformation in our new AI-enabled world of work. Learning leadership must be elevated to the highest organizational level, recognizing performance support as a strategic priority.
The future of work relies on collaboration between humans and AI, and those who embrace this transformation will unlock unprecedented business value. Now is the time for decisive action. How will you help your organization succeed in this new era of work?
|
3 months ago
|
ATD
|
data:image/jpeg;base64,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
| 45 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
You can empower the workforce with AI
|
https://kpmg.com/us/en/articles/2025/empower-workforce-with-ai.html
|
KPMG Workforce AI helps organizations capture the value of their investments by optimizing their workforce and prioritizing their people.
|
The rapid uptake of AI in the enterprise underscores its pivotal role in driving growth, innovation, and competitive advantage. Such a tall order requires engagement and adoption across the enterprise from entry-level employees to the C-suite. Therefore, a bold and comprehensive approach to AI workforce adoption is not just recommended; it’s imperative.
According to the recent AI Index Report by Stanford University’s Human-Centered Artificial Intelligence (HAI) Institute, AI adoption has surged, with 72 percent of organizations integrating AI into at least one business function, and 65 percent of companies regularly using generative AI. iThis is nearly double the percentage from just ten months ago, reflecting employees’ eagerness to adopt AI tools.
Roadmap to Adoption
Adopting AI within an organization requires a structured and disciplined approach, encompassing several key areas:
Targeted upskilling of the workforce
A recent report by the World Economic Forum highlights that 58 percent of employees believe their job skills will change significantly in the next five years due to Al and big data.ii Data from the KPMG Gen AI Pulse Survey reveal that employee adoption is a top three challenge in 2025, and 81% of leaders are planning on including GenAI in their performance reviews,19% are doing so already.iii
Learning and development programs are becoming more comprehensive and varied, designed to cater to different learning preferences and personas. They include self-service resources, learning labs, weekly interactive office hours, prompt engineering sessions, and workshops taught in conjunction with technology partners. And since the pace of AI adoption within some business functions can be unpredictable, educational platform subscription services are arising to help speed adoption.
Introducing new approaches to change management to overcome resistance
The integration of AI into corporate environments can encounter resistance and apprehension from portions of the workforce, which is why effective change management strategies are crucial to motivate adoption. However, traditional methods of managing organizational change are not always sufficient when it comes to the uptake of AI. Instead, organizations should foster emotional engagement with employees and clear communication of AI benefits to overcome hesitancy and reinforce a culture of innovation. The approach should include new ways of working that focus on connecting to the bigger picture of what will be possible with AI, finding meaning and purpose in day-to-day work, and elevating the employee experience.
Finally, it is essential to create a safe space for experimentation so that employees are empowered to explore and leverage AI capabilities fully. Leaders should allow employees to “fail fast” and learn from their experiences. This involves setting up open forums where the impacts, risks, and opportunities of AI tools can be discussed as they are developed and deployed and there can be an ongoing dialogue about what has and hasn’t worked well.
Integrating AI adoption and workforce transformation
Although AI’s potential is nearly limitless, putting the technology in the hands of only a select few, e.g., IT teams and marketing departments, will result in some optimized processes but not enterprise-wide transformation. In contrast, motivating and rewarding adoption across the workforce has the potential to up the ante on innovation for even the most change-averse companies. Integrating AI into the workforce should involve rethinking job roles and workflows to ensure the technology is applied to areas where the most value can be realized. In these efforts, it is important to be transparent about the idea that AI is meant to make streamline workflows and make work more interesting, not replace employees altogether. This is about fundamentally rethinking how work is done, which requires a human-centric mindset that combines the best of human ingenuity and technological intelligence. This comprehensive integration not only enhances efficiency but also fosters a deeper sense of involvement and motivation across teams, thereby accelerating the adoption process.
Retail innovator focuses AI efforts on empowering the workforce
A leading global footwear retailer and innovator wanted to focus not on adopting emerging tools for technology’s sake, but to deliver impactful change for its people. KPMG helped the company build and deploy a secure framework for GenAI-enabled solutions that focused on technology development as well as business adoption and value creation. Among the most innovative proofs of concept was root cause analysis for customer service issues. Through this initiative, customer service staff are now able to anticipate potential issues awaiting them each day as AI tools analyze thousands of calls, identify issues, and generate recommended responses and mitigations.
Embracing the future
The journey toward AI adoption highlights the pivotal role AI can play in reshaping the future of work. This journey, while challenging, offers substantial rewards—enhanced revenue, an increased sense of purpose and job satisfaction, and a foundation for sustained growth and innovation. As we move forward, it is important to always take a human-centric approach to AI, viewing technology as a creator of jobs, rather than a force that will replace them. Integrate AI tools into existing workflows to ensure the technology supports daily operations without disruption. Create a culture that encourages experimentation and a “fail fast” mentality so the workforce can explore AI in a culture of continuous learning and adaptation. These strategies accelerate the adoption process, embedding AI as an integral part of the business fabric.
|
4 months ago
|
KPMG
|
data:image/jpeg;base64,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
| 46 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
Negative or positive? | Major perception gap over impact of AI on workforce, research finds
|
https://www.hrgrapevine.com/us/content/article/2025-04-04-pew-research-on-ai-highlights-differing-views-over-future-of-work
|
Opinions differ sharply on whether the outcome of AI in the workforce will be positive or negative, according to new Pew Research...
|
Artificial intelligence is set to reshape the workforce over the next two decades, but opinions differ sharply on whether the outcome will be positive or negative, according to new Pew Research.
While AI experts express optimism about the technology’s potential benefits, the general public remains skeptical, particularly when it comes to employment. A majority of US adults (64%) believe AI will lead to fewer jobs, with only 5% predicting job growth. AI experts are less certain, with 39% expecting job losses and 19% anticipating job creation.
The divide reflects broader uncertainties about AI’s role in the economy, with workers facing both opportunities and risks. The research highlights that automation will likely replace routine tasks, but its overall effect on employment is still the subject of debate.
Read more from us
Prompting parties: Inside PwC's mission to get employees working alongside AI agents
Exclusive | Prompting parties: Inside PwC's mission to get employees working alongside AI agents
High-risk industries and automation
In terms of specific job sectors that could see the greatest disruption, cashiers and factory workers are widely viewed as the most vulnerable, with both AI experts and the public agreeing that these roles will decline significantly. Journalism also appears at risk, with around 60% of both groups expecting AI to reduce the number of reporters over the next 20 years.
Truck driving presents a notable contrast in perceptions. AI experts (62%) are far more likely than the public (33%) to believe self-driving technology will replace truck drivers, illustrating a gap in understanding of AI’s rapid advancements in logistics.
While traditional blue-collar jobs remain the primary focus of AI’s impact, professions requiring advanced degrees, including law and engineering, are also likely to face disruption. More than a third of AI experts predict fewer jobs for lawyers, suggesting that automation and machine learning could reshape even high-skilled fields.
Workforce transformation and skills shift
Despite concerns about job losses, AI is also expected to drive workplace transformation. The majority of AI experts (73%) believe AI will positively impact how people perform their jobs, improving productivity and automating repetitive tasks. Only 23% of the public shares this view.
Featured Resource
AI in Hiring: Trends, Insights and Predictions
AI in Hiring: Trends, Insights and Predictions
As AI revolutionizes the recruitment life cycle at warp speed, HR leaders must stay informed about AI’s advantages and its current shortcomings.
How can we adopt these tools to stay competitive and efficient while retaining the human touch that remains critical to optimizing candidate experience, making informed decisions, and, ultimately, building strong teams and cultures?
That is our industry’s biggest challenge as we navigate this new terrain. We hope these insights, tips, and predictions will help drive innovation and excellence in your hiring practice.
Show more
Download Report
The skepticism extends to AI’s influence on education and healthcare. While 84% of AI experts expect AI to enhance medical care, just 44% of the general public agrees. Similarly, AI’s role in K-12 education is seen as beneficial by 61% of experts but only 24% of the public
As businesses prepare for AI-driven changes, experts are emphasizing the need for workforce reskilling. Employees in affected sectors may need to adapt to evolving job requirements, focusing on roles that complement rather than compete with AI.
The research shows that AI’s impact on employment will be shaped not just by technological advancements but also by how businesses, policymakers, and workers navigate the transition and how much the public is engaged with the level of change.
|
2 months ago
|
HR Grapevine
|
data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAkGBwgHBgkIBwgKCgkLDRYPDQwMDRsUFRAWIB0iIiAdHx8kKDQsJCYxJx8fLT0tMTU3Ojo6Iys/RD84QzQ5OjcBCgoKDQwNGg8PGjclHyU3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3N//AABEIAEIAeAMBIgACEQEDEQH/xAAbAAEAAgMBAQAAAAAAAAAAAAAABAYCAwUBB//EADUQAAEDAgQDBQYFBQAAAAAAAAEAAgMEEQUSITETQVEGImFxgSMycpGh0RRCseHwBxVEYsH/xAAaAQEBAAMBAQAAAAAAAAAAAAAAAQIDBAYF/8QAJREAAgIBAwQBBQAAAAAAAAAAAAECAxEhMUEEEhNRgSMzkdHw/9oADAMBAAIRAxEAPwCroiL2p5AIiIAiIBc2G6A2QNa6VoeLtvrrZeRtBJv0P6KRDSSHOAHcVrgMoHLXX+dVlAyEPDaglvvXPL5/NQmSI1he7K0XJWKmzQtiqi2B2doGhv4KEd7WseipUwiIgCIiAIiIAiIgCIiAKZTMfFUPYIy9+zR1UNWBsMFfQsla/hytAYHWuASDmDh0WMp9mplGPdoQY87y69RlMjrOZGDy2N9ufVTaidsnC7pjtHleI7AudzcTqCfGw2XVp6SCMsnrZSYJG92UjMHAnW1gRzIHXTVRYqR1THG6ibxbd0hgF23c62nK4vb1G61eWEnlkba2IlVh3Bw9lbHLG6RxJ4fN4PTXfS+3Px049S5smV7OY1Vyiw2YQuLxG4Uz3EltiYzrofC4Jtf5KpSwGOsBLgY3e1zA37l+atVqllZyONSGiItxAiIgCIiAIiIAgRZwyyQStlicWvbsRyQGGxXdbLwojPE4yUpAu0bx2vsOmp0XJkzSuL5RZ51J+4W+jo6uZrhEckDtHSOPdP3PksJpNGUZYOz2eM7QOHOJYhMCG5szQPhdtudbcz1VsfT1L8AZM6oljzRsdZlmWNwdMoFv2HQKF2O7PxSOfDnddrsz3uAvew2HL6q+vwuB9CKQl+TKBmvrovkdXdXCxI7elrsurlKG2NCgu7PwYvhrqKgxOWlmvxPw0zyWTuA3IHPba/kqpiWFVOD0bosRa5kj3WjboWnXcEb6fqrf2jw40FY2IS37pe1219t1nFjgiw3L2nbDNhT/AHTU6yPI5MFiXnxt6rojOUI+SDzF8c/Hs5q5qyx0WRxJc7r5/Z8zRS6ptPVYjIMKhkipnu9jFM4ZmjxN/wDqjyxuikdG+2ZpsbG6+gnlGqSw8GCIiyIEREAREQBboagxRvY2OM5/zFt3DyPJaVuiNOIX8VkjpfyEEZfVRkZuwqempsQhqK+lfVUsbryRMNi/TTW45+Oq+iPjwDH6cVOBzcOotZ9MBbKPFh1aPL5L5vTyxBxNRxSLd3hkNsVrbNLHUMngkfBNGbskjdZzfXn6rnuplKSlF4a/BvhODi67I5TL6X4ngVQxzmuicR3XHQPHnsf5ddaLtTic0D3jgRxRi8lRJZrI/Nx0VZp/6iV/9sko8Uw+nxF5FmSuOVp+Ntt/L6KsV+IVWJyxuxCbPHGfZwRtDIovhZt6m58Vo8MrfuQWVyI1Lp39K19vpbljxXtOyWUvogKyc/5lQ20bT/ow7nxdbloVXKl0lXUvqaqWWeoPvSSOu7y190eA0WFQ+LORSteyMjUPIJ+awY8XDZbln1HkuqFMYamtzeMR0X9v7PSW2y5rDo3b915wJSx0jWFzG7uaLgfZKjg8V34cPEfLPa/0XjZZGscxr3Brt2g6FbTDUwREVKEREAREQBERChERAwiIgBREQgREQBERAEREB//Z
| 47 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
Accenture plc (ACN) Invests in Workhelix to Boost AI Workforce Transformation Capabilities
|
https://finance.yahoo.com/news/accenture-plc-acn-invests-workhelix-011043237.html
|
We recently compiled a list of the 11 Trending AI Stocks on Latest News and Ratings. In this article, we are going to take a look at where...
|
We recently compiled a list of the 11 Trending AI Stocks on Latest News and Ratings. In this article, we are going to take a look at where Accenture plc (NYSE:ACN) stands against the other AI stocks.
The rise of artificial intelligence (AI) is driving significant growth in the data center market. Analysts predict that the demand for data center capacity to support AI workloads will increase significantly due to factors like growing computing power requirements. The need to process large amounts of data and the growing adoption of AI applications across various industries should accelerate the growth.
Likewise, Fortune Business Insights expects the data center market to grow at a Compound Annual Growth Rate (CAGR) of 25.7% between 2024 and 2032. The growth comes as companies and nations prepare a massive capital deployment of $1.8 trillion from 2024 to 2030 to meet the growing demand for computing power worldwide.
The US is one of the countries spearheading the data center investment spree. As part of the Stargate project, the US is poised to play host to a $500 billion investment into data centers, which is expected to bolster the country’s computing capacity to boost AI development. The first $100 billion investment is expected to come up this year.
The Stargate project is expected to give the US a strategic advantage and create thousands of jobs.
“As for the 100,000 jobs the project is supposed to create? Some construction jobs will be created as the data centers are built, but many more (millions more) will be created as the data centers come online. We’ve never had a compute cloud like this—there’s literally no way to calculate the economic impact of this amount of AI compute. It will be massive,” said Shelly Palmer, a tech pundit and consultant,
Amid the investment spree, there are growing concerns over a potential oversupply of data center capacity despite the ever-growing needs as part of the AI boom. Reports that Microsoft is canceling leases for US data center capacity are raising concerns about whether tech giants have secured more AI computing capacity than they needed. The software giant has already canceled data center leases totaling hundreds of megawatts, signaling it could have more capacity in its pipeline than it needs.
According to the Kyndryl AI Readiness Report, 86% of leaders are confident in their AI implementation, but 36% cite ROI as a barrier to adoption. Data centers, the core of the digital economy, support various demanding workloads, emphasizing the need for low-latency, high-bandwidth environments for AI applications. The time to invest is now.
Our Methodology
For this article, we selected AI stocks by going through news articles, stock analysis, and press releases. These stocks are also popular among hedge funds in Q4 2024.
Why are we interested in the stocks that hedge funds pile into? The reason is simple: our research has shown that we can outperform the market by imitating the top stock picks of the best hedge funds. Our quarterly newsletter’s strategy selects 14 small-cap and large-cap stocks every quarter and has returned 373.4% since May 2014, beating its benchmark by 218 percentage points (see more details here).
Accenture Plc (ACN): AI Agents Transforming Digital Banking with Westpac
Accenture Plc (ACN): AI Agents Transforming Digital Banking with Westpac
A team of data experts gathered around a computer monitor analyzing customer data.
Accenture plc (NYSE:ACN)
Number of Hedge Fund Holders: 79
Accenture plc (NYSE:ACN) is an information technology services company that provides strategy, consulting, and technology and operation services. It also provides AI consulting services, helping companies design, implement, and manage responsible AI solutions across various business functions. On February 27, the company confirmed a strategic investment through Accenture Ventures in Workhelix.
Workhelix is a tech-enabled services company that helps organizations reap the rewards of their AI investments. As part of the deal, Workhelix solutions are to be integrated into Accenture LearnVantage as the company looks to enhance its AI workforce transformation capabilities. The acquisition aligns with Accenture plc's (NYSE:ACN) overarching plan to develop specialized AI capabilities through focused investments instead of solely organic expansion. The timing is especially favourable since generative AI implementation is proving difficult for many organizations, which is driving demand for comprehensive transformation services that consider both technological and human factors.
Overall ACN ranks 2nd on our list of the trending AI stocks. While we acknowledge the potential of ACN as an investment, our conviction lies in the belief that AI stocks hold greater promise for delivering higher returns and doing so within a shorter time frame. If you are looking for an AI stock that is more promising than ACN but that trades at less than 5 times its earnings, check out our report about the cheapest AI stock.
|
3 months ago
|
Yahoo Finance
|
data:image/jpeg;base64,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
| 48 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
How real-world businesses are transforming with AI — with 261 new stories
|
https://blogs.microsoft.com/blog/2025/04/22/https-blogs-microsoft-com-blog-2024-11-12-how-real-world-businesses-are-transforming-with-ai/
|
Updated April 22, 2025: The post contains 261 new customer stories, which appear at the beginning of each section of customer lists.
|
How real-world businesses are transforming with AI — with 261 new stories
Apr 22, 2025
Alysa Taylor - Chief Marketing Officer, Commercial Cloud & AI
Updated April 22, 2025: The post contains 261 new customer stories, which appear at the beginning of each section of customer lists. The post will be updated regularly with new stories.
One of the highlights of my career has always been connecting with customers and partners across industries to learn how they are using technology to drive their businesses forward. In the past 30 years, we’ve seen four major platform shifts, from client server to internet and the web to mobile and cloud to now — the next major platform shift to AI.
As today’s platform shift to AI continues to gain momentum, Microsoft is working to understand just how organizations can drive lasting business value. We recently commissioned a study with IDC, The Business Opportunity of AI, to uncover new insights around business value and help guide organizations on their journey of AI transformation. The study found that for every $1 organizations invest in generative AI, they’re realizing an average of $3.70 in return — and uncovered insights about the future potential of AI to reshape business processes and drive change across industries.
Check out the top 5 AI trends to watch from IDC and Microsoft
Today, more than 85% of the Fortune 500 are using Microsoft AI solutions to shape their future. In working with organizations large and small, across every industry and geography, we’ve seen that most transformation initiatives are designed to achieve one of four business outcomes:
1. Enriching employee experiences: Using AI to streamline or automate repetitive, mundane tasks can allow your employees to dive into more complex, creative and ultimately more valuable work.
2. Reinventing customer engagement: AI can create more personalized, tailored customer experiences, delighting your target audiences while lightening the load for employees.
3. Reshaping business processes: Virtually any business process can be reimagined with AI, from marketing to supply chain operations to finance, and AI is even allowing organizations to go beyond process optimization and discover exciting new growth opportunities.
4. Bending the curve on innovation: AI is revolutionizing innovation by speeding up creative processes and product development, reducing the time to market and allowing companies to differentiate in an often crowded field.
In this blog, we’ve collected more than 700 of our favorite real-life examples of how organizations are embracing Microsoft’s proven AI capabilities to drive impact and shape today’s platform shift to AI. Today, we’ve added new stories of customers using our AI capabilities at the beginning of each section. We’ll regularly update this story with more. We hope you find an example or two that can inspire your own transformation journey.
### Enriching employee experiences
Generative AI is truly transforming employee productivity and well-being. Our customers tell us that by automating repetitive, mundane tasks, employees are freed up to dive into more complex and creative work. This shift not only makes the work environment more stimulating but also boosts job satisfaction. It sparks innovation, provides actionable insights for better decision-making and supports personalized training and development opportunities, all contributing to a better work-life balance. Customers around the world have reported significant improvements in employee productivity with these AI solutions:
New Stories:
1. Aberdeen City Council turned to Microsoft 365 Copilot as a holistic, AI-driven solution that could help offload tasks, freeing up workforce capacity to more responsively manage the care of residents.By using Copilot, they project a 241% ROI in time savings and improved productivity, saving an estimated $3 million in US dollars annually.
2. allpay utilizes GitHub Copilot to help engineers and developers write code faster and with less effort, increasing productivity by 10% as well as delivery volume into production by 25%. They have also adopted Microsoft Copilot to help share information on their SharePoint.
3. Amey uses SharePoint agents to allow employees to retrieve answers instantly through a chat interface on their mobile devices. Providing real-time troubleshooting and multilingual support reduces risks and empowers employees to get home safely every day.
4. ANS uses Microsoft Copilot and agents to streamline the selling process. Sellers can now ask an agent to collect and summarize information across data sources, gaining valuable insights from previous customer interactions while ensuring customer data protection. This allows sellers to prioritize their time and focus on the most critical accounts and opportunities — which they forecast will increase ANS’s closing ratio by 6.25%.
5. Architecht used Azure OpenAI Service and GitHub Copilot to develop OBA Suite, a cloud-based platform built on a microservices architecture. The platform also integrates advanced AI capabilities. With low-code/no-code capabilities, UI/UX prototyping takes 25 minutes instead of two days. OBA Suite enhances user experience with AI-driven assistants and personalized service.
6. Arthur D. Little used Azure OpenAI Service to develop a solution to help consultants quickly sort through and make sense of complex document formats while maintaining strict data confidentiality. This helped the consultants prepare for client meetings faster and curate content for presentations 50% faster.
7. Arup uses Microsoft 365 Copilot to improve productivity and efficiency across the organization. They also use AI to develop proprietary applications built by their analytics and AI team.
8. Atera integrated Azure OpenAI Service into its AI-powered platform to provide an all-encompassing view of IT activities, proactively identifying issues and offering immediate solutions. The AI engine also allows end users to troubleshoot and auto-resolve tickets without IT intervention, improving IT professionals’ efficiency by 10X.
9. Atos embraced Microsoft 365 Copilot to enhance employee well-being by making lighter work of time-consuming tasks and allow them to focus on more important aspects of their work, ultimately nurturing creativity and efficiency.
10. AT & T used Azure OpenAI Service to automate IT tasks and provide employees with fast answers to basic human resource requests, leading to increased efficiency, improved work life and reduced costs.
11. AvePoint utilizes GitHub Copilot to accelerate its development lifecycle, reduce time to market for new features and ensure continuous innovation. They also used Azure AI to develop ChatAVPT that provides real-time information and guidance to employees.
12. Balfour Beatty uses AI agents to identify quality assurance, particularly in how it tests what it builds and installs. AI’s ability to decipher, reason and streamline decision-making is particularly valuable. They see this come to the forefront in both quality control and safety management.
13. BNY uses GitHub Copilot with over 80% of their developer community now relying on it daily, increasing the speed of code development. They also use Eliza, a virtual assistant to empower employees to innovate, streamline workflows and deliver enhanced value to clients, while Microsoft 365 Copilot helps them focus on high-value tasks.
|
1 month ago
|
The Official Microsoft Blog
|
data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAkGBwgHBgkIBwgKCgkLDRYPDQwMDRsUFRAWIB0iIiAdHx8kKDQsJCYxJx8fLT0tMTU3Ojo6Iys/RD84QzQ5OjcBCgoKDQwNGg8PGjclHyU3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3N//AABEIAEIAeAMBIgACEQEDEQH/xAAbAAACAgMBAAAAAAAAAAAAAAAABQQGAQIDB//EAD0QAAECBAMFAwsBBwUAAAAAAAECAwAEBREGEiETMUFRYSJxgQcUFjJSU5GSobHwwRVCYpPC0eEjMzRDcv/EABoBAAIDAQEAAAAAAAAAAAAAAAIEAAEDBQb/xAAoEQACAgEDAwMEAwAAAAAAAAAAAQIRMQMSIQRRgRNBoSJCccEFMjP/2gAMAwEAAhEDEQA/APXIIzC5NXl+yF3ClEgBJvuvztrodPvpAJWEMIIXJrMsW0KKXO0L2SAbbr8evf8AEX6O1NhpakrS4LFQvYWNiQePQ9/DeIvayWibBEBdWZDTy0tuK2QSVA2HrC41v+XjdFTYXMKYSF7RBAWLDskkDXXmbf41iUyWiZBBBEIEEEZiEMQRGafUb5tdT0MSEqChpEIcZt0NNjqYhtttvzKHTcFCr3HHvjM8rauEDcnSOMorKvWNVH6bAd3yOII1bXcawRkGbxWJ2sYmbm3US+Fg+y24oNOmcQMw1AVY7rj7xZozvgoSUcqwZRcsOikVHGGIaaGfPcMJaL7gbaT56lRWs7gAAYcV/EblNmZanSMkqeqsynMiWQ4EhI4qUrlofgd0K6UfSTGk1U1dqQpF5eU5KdPrq/P4TBhgicx9iabX2lS4aYb/AIU6ggfy4ZktPLjhWxeLn3yzu3impU+py0nialtybc0rIzNMPZ0ZuR5bxx8Lah3XqxK0KmOz88o7NvQJTvWo7gPzSEnlQYS9gybWpN1MuNLT0JWEn6KMLsRPqqtUwVLPHM3METToP7yglBH9XxjNRjOpVWb8chuTjcckl/EuJpSU/aU3hpCZADMtCZm7qEe0R+lu+0WqmT8vVJBiek152H05kHj1B6g3HhEhaEupUhwBSFjKoHiDvim+SpSkUKck1EqEpPONpJ5WSfuTAupRbSqg1alVlumlFDC1A2IG+OTD3+mCb24gnVMbVBWWTcJ5frCtqbOVaRu0vGVe5rTZMQtPKOm1ym/GIAWY7NErIg2iop+5qoZSQfjGE2Su5FxHN6YSt/snsjS8YzxcZG04WrYxl3OF+6CIks4AbeI6RiKceRfA4hNjCpmj4bnpxCsroRkaPJajlB8L38IcwlxRRGcSyCJFycLLSHgtezAUVWunKddNTFadbluwSd7XRjBdMFJwxIS2XKst7Rz/ANK1PwvbwhNhm0n5QMTSbnZXMht9u/7w1Jt/M+hi625CwhDiDDbNbel56Wm3ZKoy10tTbAuQNdCOI38eJ5kQcZ25bvcFxpKvYgeVB8N4QfYTcuzTrTTaBvWQsKsPBJhfiln9kVfB006QGJVXmrq76JJCQD8Ao+ENZDCjqKgxUcQ1d6qzMsby4W0Gm2zzCQTc/wBugh1W6RK1unOyE+2VMucRopJG4g84tTUaX5+SnFytkt51uXbW88oIbbSVrUeAGpMVDyWNL9Hn51xJSZ6cceAPLRP3SYx6G1F5gSdQxTOTFKTYebhkIUpI4KcuSR4RbpaWalJdqXl2g0y0kIQhI0SBuEC2oxpPIXLdtEStrySJHtKA/X9IrMpPomJ15lk3Qwcq1Divj8N3iY28otaXIMMSkkC5PzF0sNp35jx8Br4iEEs/JYTpbTE29tZxYzlpButZPHonqfqYXepTo6vT9O3p7q5eEW8OCxUpQSlIupRNgBzMQJitpWdlJK7PF3cVd3IRSJqvTdVcCV9hoG6WW9QO/mev2hnT2XlWKtByjDU6hydRwMw6Faf1amSyy72cpA4m0S0r0HURAlUZLHiCDeJOeytN0M6T4FNZKyShdlwRF2iUquSEjqYIZ4OfKDvhFuG8RQhiymFLgEm5lcUFKUuca9ZKgb9o6HcT3RfY02Tfu0fKIyjJLKKabweeqxXRwbKknElV900wclxl0seQ4X4R1ViyjImLeZ573P8AymgkbhxIvw58esX3ZN+7R8og2Tfu0fKIP1I9vkDZLued+llHQQ4iRcytEpTlnWLadm4Ga+vPreOqcW0ttlaUyKxtEFCj55Lg2JHC9hu+5POL/sm/do+URjZN+7R8oiepDt8k2S7lBbxbSSpSkySyUlV0+dsCxI7+unXxhthSu0+ZdmWmGlspZYDi1rfbcGUE+wd/aO+LOptlKSpSGwkC5JAsI8sxXWZzEs4umUVIbkkf7jnqpI9pZ5ch+DLW14Rjjka6To56888LLElbxO7M1yYmaWnbVF4lCX7Zgw3wS2OJ5qPW3AwU3C80+sv1B1W0WbrKlZlKPUw4pslTqG1klUGZfPrvq0zH726aeMaTVTm1A5XdmOTYy/Xf9Y5EtW2engtirTXkYy9LlKc2C5s2h7Tigm/xjV+vUqUBAeLyhwZQT9TYRU5guOuEIBUtR8SY0MshjtTSgpXuwd3ef7QUE3gynFL+7LF6UvzCymRkkhI/7Hl3A77WA+Marrkzu220WfYTlSO7ifGFjMvMTCUkpDLI9XS3wESdklkWaFuajqo+MPace7FWo/aicxMrK880slfs31/x+aRmFoVlMENJID0kz2qCCCMziBBBBEIEEEEQgmxiopw3OlJIOUDQ8MwihSQCKPIhACQtClqA0zKzEXPW0EEc/rM+Dufxv+Xn9HNyIMxBBCUTpswyAmnqWBZRVYkb4i0NKXKmdokKskkZhexggh7TwIzyx+9EF6CCGtMFERW+CCCGlgNH/9k=
| 49 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
AI agents can reimagine the future of work, your workforce and workers
|
https://www.pwc.com/us/en/tech-effect/ai-analytics/ai-agents.html
|
AI is reshaping work—faster than ever. Discover how AI agents redefine workforce strategy, business models, and competitive advantage. Are you ready?
|
AI agents can reimagine the future of work, your workforce and workers
No author or publication date available.
AI agents can drive business value by augmenting human capabilities, freeing up staff to focus on higher-value tasks, and providing 24/7 customer service. They can help automate routine and repetitive tasks, analyze large amounts of data, and make predictions based on that data. Additionally, AI agents can facilitate communication and collaboration among teams, and enhance customer experience through personalized interactions.
AI agents can be applied in various industries, including healthcare, finance, and customer service. In healthcare, AI agents can help with patient diagnosis, treatment, and care. In finance, they can assist with fraud detection, risk management, and portfolio management. In customer service, AI agents can provide 24/7 support, answer frequent questions, and help with transactional tasks.
To implement AI agents, businesses should start by identifying areas where they can add value, developing a clear understanding of the technology and its limitations, and investing in the necessary infrastructure and talent. They should also prioritize transparency, explainability, and trustworthiness in their AI agent solutions, and ensure that they are aligned with their overall business strategy and goals.
Overall, AI agents have the potential to revolutionize the way businesses operate and deliver value to their customers. By leveraging AI agents, businesses can improve efficiency, enhance customer experience, and drive innovation and growth.
|
4 months ago
|
PwC
|
data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAHgAAABCCAMAAACrW+IrAAABd1BMVEX//////P3/twD/jgD/iADwQgD/pgD9m6bhOAD/9vj8/Pz98ur9vZ7+9vD85dr9ikn8yrH+9+v9i179XwDzoYf+bCv+bwD+NwD98vH+/Pj9uzz+rQD8xW/9rJr3Vgr44t787dv+x1n87MT7f1X2zNL9bIH9e5D8v7P/mQD71a/9jzj70bn/wRL8cVL8aET+ZgD9ewD6kUz7mmX7TQD5iiH6sF3jZS390n386c/v39D9ohX+4Mz3n2b8q7PvlJP9mHX9goP9eUv3qXT9tpHxlVD+wcr8SWXxcGHpdSn+dTf8XYL7qyH+tiLiOBnmoJHzfkb+ipn7YHPtUiD8UUT+yS7bRQDZaT/RbFTzAEDzZWDWy8XsJVHNSBDmbgb7TlPpdo34joeyKSfZYRPSAD3LGB69UADYsq7jgIrhTWT5Kz7ipn/4w4edNxbHACjkjXTjRU3dgJnkAADOSC6/Vlfhc3LIfIPNNDK6cFyqFgfMWGnOVkjRmH3GMEK6kesBAAACbUlEQVRYhe3W7VfSUBzA8cvudcwNyKcmSOxazrlgwXT2wBSfYmqpBNZgDqaGuiQrtTTJ+uObYKfTH3CxF/dzDmfj3Bffc+64PwYARVEURVEURVEU1RNCJNqzVuzeQPdmMPgMDY/0LHxfHBXiIZAYSz4YBCkJ96Y6/vDRBCvKk8rUoMoyzGOQIJ6MpTMAhFSGTWpJ+CQr5nSoqpnu2vQMwfCIkQVRflaFUEWmxkAo6urT7lJ09BmhaOI584JPxYGQV1VTSw6J0GS0JNLFue46jhMKj0N2PsiDwgKCrLa4tKwzAUOUVjIviT7kRBFlQMyIWKtr6+jVa2VD0zZ1JBlbpZz+hmQ4GBTBfvZNYaVcyW2/VTffscO6btvVmiGVyIa7ddlZdcwdiHSobxt9iywza68BYYrskbIw785n643KjiTa3u7e0n5419SbaZA1UiS72FGixaL3vnnQsqXDen2hXFhKakwOsh5HdnhZcX69cXTg+B9G1/zjsFKvtOBGURL1j94J0fCNOffTZx9b+3mrUp6s11bQAMx96Yw00nCt79SSwxMLzuouKkbzebYqk68CkJGvuOxZWOHE7dNGeiaCa/OFsEW+Gz+/BqWtinKYg+jrt0UEaxeJyz0flJV+wuWSC4DsOBccZ9cuv0vNnRYGGMRbx0TDgsB3rn5qDNmNK3+aq7Z/BN9PxmWSzznUj/OdG+yfmOY6avuemr75V4qRPU0hy7rdzkL92pttFrH70+sco0SE7MS8PLsN4+NfuH1UdQXXJRr8g//7++kHba6Ee9T9V0ycBvwddIF8Xr2LLCD4kkVRFPWfupMxH2R/Ax70Y44eZoLsAAAAAElFTkSuQmCC
| 50 |
AI workforce transformation
|
2025-06-17 14:02:45
| null |
Artificial Intelligence and Machine Learning Job Trends in 2025
|
https://www.simplilearn.com/rise-of-ai-and-machine-learning-job-trends-article
|
The expanding AI and ML job market offers a wide range of career opportunities, from machine learning engineers and data scientists to AI research scientists.
|
Artificial Intelligence and Machine Learning Job Trends in 2025
By Simplilearn
Share This Article:
Last updated on Jun 9, 2025
High-performance technologies have become increasingly important in recent years. Along with ubiquitous computing, Artificial Intelligence jobs are booming. The machine learning job market is extremely healthy and shows no signs of slowing down.
A quick look at the technology landscape shows the power of AI in everyday life. From voice assistants that power smart speakers to high-tech coffee makers, these technologies are quickly becoming mainstays of life. This evolution has led to a positive change in AI and machine learning job trends.
While these developments may seem inevitable, experts’ hard work in the fields of AI and Machine Learning engineering is driving the growth. Machine learning concepts like computer vision quickly open doors to some of today’s most exciting career opportunities for forward-thinking technology professionals.
Computer vision is just one of many new AI innovations that is driving current machine learning job trends. To better prepare for new machine learning careers, it’s essential for us to understand how Artificial Intelligence and machine learning technologies work and how aspiring AI and machine learning candidates can learn the skills you need to pursue these promising career options.
Become a AI & Machine Learning Professional
$267 billion Expected global AI market value by 2027
37.3% Projected CAGR of the global AI market from 2023-2030
$15.7 trillion Expected total contribution of AI to the global economy by 2030
Professional Certificate in AI and Machine Learning
Program completion certificate from Purdue University Online and Simplilearn
Practical exposure to ChatGPT, LLM-based AI solutions, and other AI applications.
6 months
Artificial Intelligence Engineer
Industry-recognized AI Engineer Master’s certificate from Simplilearn
Dedicated live sessions by faculty of industry experts
11 Months
Here's what learners are saying regarding our programs:
Akili Yang
Personal Financial Consultant, OCBC Bank
The live sessions were quite good; you could ask questions and clear doubts. Also, the self-paced videos can be played conveniently, and any course part can be revisited. The hands-on projects were also perfect for practice; we could use the knowledge we acquired while doing the projects and apply it in real life.
Indrakala Nigam Beniwal
Technical Consultant, Land Transport Authority (LTA) Singapore
I completed a Master's Program in Artificial Intelligence Engineer with flying colors from Simplilearn. Thanks to the course teachers and others associated with designing such a wonderful learning experience.
What Is Artificial Intelligence and Machine Learning?
Traditionally, AI is defined as the development of computer systems capable of performing tasks that typically require human intelligence. In other words, AI enables computers to think and behave more like people to solve problems.
Machine learning is a method of analyzing data that helps computer programs optimize their functionality as they learn from vast quantities of data. Machine learning is a specific form of AI that enables computers to learn and grow as they’re introduced to data-based scenarios.
Growth and Demand for AI and ML Jobs
The distinction between AI and ML is crucial, with AI focusing on creating systems that can perform tasks requiring human intelligence, while ML is a subset of AI that enables computers to learn from data. Both fields offer promising career opportunities, reflecting a rapidly growing job market. AI and machine learning jobs have grown significantly, with machine learning jobs particularly cited as the second most sought-after AI jobs.
Key Trends in AI and ML
1. Retrieval-augmented generation (RAG) is emerging as a significant trend to enhance the accuracy and relevance of AI-generated content.
2. The demand for customized enterprise generative AI models is rising.
3. The need for AI and ML talent continues to grow, particularly emphasizing skills related to AI programming, data analysis, statistics, and machine learning operations (MLOps).
4. Shadow AI presents a challenge as the use of AI without IT department approval or oversight becomes more common.
Job Opportunities and Skills Needed
The expanding AI and ML job market offers a wide range of career opportunities, from machine learning engineers and data scientists to AI research scientists and AI application developers. Skills in demand include programming, data analytics, machine learning theory, and the practical application of AI technologies in business settings.
List of Top AI and ML Jobs in 2025
1. Machine Learning Engineer
2. AI Engineer
3. Data Scientist
4. Computer Vision Engineer
5. Natural Language Processing Engineer
6. Deep Learning Engineer
7. AI Research Scientist
8. Business Development Manager (AI focus)
|
1 week ago
|
Simplilearn.com
|
data:image/jpeg;base64,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
| 1 |
machine learning job market
|
2025-06-17 14:02:47
| null |
AI Job Market 2025: Trends and Opportunities Across the US
|
https://www.dice.com/career-advice/artificial-intelligence-a-i-job-market-small-but-growing-in-many-states
|
Artificial intelligence (AI) tools and services are evolving rapidly. While nobody can tell you what the future will actually hold for AI,...
|
AI Job Market 2025: Trends and Opportunities Across the US
Nick Kolakowski
Jan 30, 2025
8 min read
Artificial intelligence (AI) tools and services are evolving rapidly. While nobody can tell you what the future will actually hold for AI, it’s clear that the technology has yielded some indispensable tools, from automating mundane tasks to unlocking insights from data.
This surge in adoption has created a strong job market for those with AI skills. Let’s dive into the current state of the AI job market, exploring key trends, regional hotspots, in-demand roles, and the skills and qualifications necessary to succeed in this environment.
## Current State of the AI Job Market
AI has transitioned from a niche area of research to a critical driver of economic growth and societal advancement. The U.S. stands at the forefront of this revolution, with a thriving AI ecosystem fueled by substantial investments, a wealth of research institutions, and a highly skilled workforce. Here’s the current state of play:
* Explosive Growth: The global AI market is projected to experience exponential growth in the coming years, driven by factors such as increased adoption of cloud computing, the rise of big data, and advancements in machine learning algorithms.
* Industry-Wide Impact: AI is permeating virtually every sector of the economy, from healthcare and finance to manufacturing and transportation.
To maximize your career potential in AI, identify a specific industry that interests you and delve deep into the unique AI challenges and opportunities within that domain.
## Top States for AI Job Growth
Several states have emerged as hubs for AI innovation and job growth, attracting top talent and fostering vibrant tech ecosystems.
1. California
* Key Cities: San Francisco, Silicon Valley, Los Angeles
* Major Employers: Google, Facebook, Amazon, Apple, NVIDIA, Tesla
* Growth Drivers: Massive venture capital funding, a dense concentration of top-tier research institutions, and a thriving startup culture.
2. Texas
* Key Cities: Austin, Dallas, Houston
* Major Employers: IBM, Tesla, Oracle, Dell
* Growth Drivers: A rapidly growing tech sector, a business-friendly environment, and a diverse economy.
3. New York
* Key Cities: New York City, Albany
* Major Employers: Amazon, JPMorgan Chase, IBM, Google
* Growth Drivers: A strong presence in finance and technology, a growing number of AI startups, and significant government support for AI research.
## Key Roles in AI
The AI field offers a diverse range of career paths, catering to various skillsets and interests. Here are some of the most in-demand roles:
* Machine Learning Engineer: Develop, train, and deploy machine learning models, responsible for building and scaling AI-powered systems.
* Data Scientist: Analyze and interpret large datasets to extract meaningful insights, build predictive models, and inform business decisions.
* AI Researcher: Conduct cutting-edge research in areas like deep learning, natural language processing, and computer vision, pushing the boundaries of AI capabilities.
* AI Product Manager: Lead the development and launch of AI-powered products, translating business needs into technical requirements and ensuring successful product delivery.
## Skills and Qualifications for AI Roles
Success in AI requires a blend of technical expertise, analytical skills, and strong problem-solving abilities.
* Technical Skills: Programming Languages (Python), Machine Learning Frameworks (TensorFlow, PyTorch), Data Processing Tools (SQL), and Cloud Computing Platforms (AWS, Azure, Google Cloud)
* Soft Skills: Problem-solving and Critical Thinking, Communication and Collaboration, and Lifelong Learning
## Future Trends in the AI Job Market
The AI job market is poised for continued growth and evolution, driven by several key trends:
* Generative AI: Technologies like ChatGPT are revolutionizing content creation, customer service, and software development, creating new job roles and opportunities.
* AI in Cybersecurity: As cyber threats become more sophisticated, AI is playing an increasingly critical role in threat detection, prevention, and response.
* Edge AI: The growing adoption of IoT devices and the need for real-time data processing are driving the growth of edge computing, which brings AI capabilities closer to the data source.
## Conclusion
By 2030, AI is expected to be a pervasive force across industries, creating a significant demand for skilled professionals. By proactively developing in-demand skills, embracing continuous learning, and strategically positioning yourself within the AI ecosystem, you can embark on a rewarding and fulfilling career in this transformative field.
|
4 months ago
|
Dice.com
|
data:image/jpeg;base64,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
| 2 |
machine learning job market
|
2025-06-17 14:02:47
| null |
Future of work: Using technology to improve job matching
|
https://www.weforum.org/stories/2025/05/smart-data-better-jobs-technology-labour-markets/
|
The shift towards smarter job matching is being powered by key technologies that are reshaping how organizations assess and connect talent...
|
Smart data can help create better jobs in technology and labour markets
The use of data and artificial intelligence in human resources can be a game-changer
While technology is often seen as a threat to jobs there are ways it can be leveraged to create better working conditions and improved employee satisfaction
Data and AI can help automate mundane tasks enable remote work and create personalized learning and development opportunities for employees
In the job market technology can help match candidates with the right skills to job openings and enable more efficient recruitment processes
However there are also challenges associated with the use of data and AI in HR such as ensuring transparency and avoiding bias in decision-making algorithms
To address these concerns organizations must prioritize explainability fairness and transparency when implementing data-driven HR solutions
Ultimately the key to creating better jobs with smart data is to prioritize human-centered design and ensure that technology serves to augment rather than replace human capabilities
By doing so we can unlock the full potential of data and AI to drive positive change in the workplace and create a brighter future for workers everywhere
World Economic Forum
Article
6 May 2025
Authors
[katherine mcarthur](https://www.weforum.org/about/leadership/katherine-mcarthur)
[sarah swartz](https://www.weforum.org/about/leadership/sarah-swartz)
[adriana lemenze](https://www.weforum.org/about/leadership/adriana-lemenze)
Most recent
[what covid-19 has taught us about resilience](https://www.weforum.org/agenda/2023/03/covid-19-taught-us-about-resilience-3-lessons/)
[here's how the metaverse could change the way we work](https://www.weforum.org/agenda/2023/02/metaverse-work-virtual-reality-remote/)
[how to make artificial intelligence more transparent](https://www.weforum.org/agenda/2022/11/how-to-make-artificial-intelligence-more-transparent/)
|
1 month ago
|
The World Economic Forum
|
data:image/jpeg;base64,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
| 3 |
machine learning job market
|
2025-06-17 14:02:47
| null |
How 2025 Grads Can Break Into the AI Job Market/Photo via FreePik
|
https://innotechtoday.com/how-2025-grads-can-break-into-the-ai-job-market/
|
Here's what new 2025 grads should be doing to make sure they are the most attractive candidates for any new opportunities in AI.
|
How 2025 Grads Can Break Into the AI Job Market
Anjana Susarla
June 17, 2025
It’s college graduation season, which means over 4 million seniors will graduate in the next few weeks, flooding the job market with new candidates. One area that has shown high potential for the right candidates is artificial intelligence and machine learning. Both disciplines are part of the larger data and analytics career path.
Early job market trends indicate that one in four U.S. tech jobs posted so far this year are seeking employees with artificial intelligence skills, according to a report published in the Wall Street Journal. Job postings for AI jobs have seen a substantial increase, with a 21% growth from 2018 to 2024, as reported by the WSJ. The World Economic Forum’s 2023 Future of Jobs Report predicts that the demand for machine learning (ML) specialists will rise by 40%. Machine learning engineers experienced a salary growth rate of 15% annually between 2019 and 2024.
There is a distinction between AI and ML skills since AI also encompasses cognitive tasks like natural language understanding, computer vision, and problem-solving. Another difference between prior generations of predictive analytics and the current generation of AI models is the acceleration of capabilities of generative AI (GenAI), which can be defined as “artificial intelligence that can generate novel content, rather than simply analyzing or acting on existing data.” GenAI models could potentially aid a variety of tasks that require reasoning and creativity.
Beyond the differences in the types of technical skills required in AI vs. ML jobs, a broader impact that graduates need to grapple with is what type of technical AI/ML skills are necessary in the long run. With the popularity of AI coding assistants such as Cursor, Windsurf, and Microsoft’s Copilot, there is the potential that GenAI could be used to augment worker efforts and increase productivity. Software developers can use GenAI to develop, test, and document code; improve data quality; and build user stories that articulate how a software feature will provide value.
Studies have suggested that GenAI tools based on large language models (LLMs) could produce logically correct code from natural language prompts. Whether these tools will transform the productivity of AI/ML developers remains to be seen, but new 2025 grads could pay attention to how such tools might help augment their productivity.
We are also seeing a broader integration of large language models into a variety of applications, such as law and business. The Bureau of Labor Studies projects that on the one hand, “AI is well suited for the occupation’s tasks; on the other hand, increased productivity from the use of AI may lower prices and increase demand for software products, thus boosting employment demand for software developers. In addition, AI itself may lead to increased demand for software developers, who may be needed to develop AI-based business solutions and maintain AI systems.” There has been some preliminary evidence that GenAI use affects both developers’ coding quantity and quality.
Some types of AI skills, such as prompt engineering, have prompted both enthusiasm as well as skepticism, where experts have either hailed the need for prompt engineering skills as a hiring criterion, while more recent reports dismiss the need for prompt engineering. With expectations about what types of AI/ML skills are valuable seemingly changing daily, new graduates should develop a portfolio of skills and technologies.
Another development that new job market entrants should be aware of is that AI/ML is increasingly interwoven with so many occupational functions. The 2023-2024 Census Bureau surveys indicate that generative AI use has a greater impact at the worker level rather than with overall employment levels at the firm level, with almost 27 percent of U.S. firms reporting the use of AI to perform tasks previously done by workers. With the widespread deployment of AI into a myriad of organizational functions, the use of AI-powered product development, and newer vulnerabilities created by GenAI systems such as jailbreaking, we need new job market entrants to be prepared to not just deploy AI/ML skills but also develop an awareness and critical thinking of how AI/ML alters the overall business landscape.
|
1 month ago
|
Innovation & Tech Today
|
data:image/jpeg;base64,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
| 4 |
machine learning job market
|
2025-06-17 14:02:47
| null |
Top Machine Learning Jobs and How to Prepare For Them
|
https://towardsdatascience.com/top-machine-learning-jobs-and-how-to-prepare-for-them/
|
These days, job titles like data scientist, machine learning engineer, and AI engineer are everywhere — and if you were anything like me,...
|
# Top Machine Learning Jobs and How to Prepare For Them
Explaining the different machine learning roles
Egor Howell
May 21, 2025
8 min read
These days, job titles like _data scientist_ , _machine learning engineer_ , and _AI engineer_ are everywhere — and if you were anything like me, it can be hard to understand what each of them actually does if you are not working within the field.
And then there are titles that sound even more confusing — like _quantum blockchain LLM robotic engineer_ (okay, I made that one up, but you get the point).
The job market is full of buzzwords and overlapping roles, which can make it difficult to know where to start if you’re interested in a career in machine learning.
In this article, I’ll break down the top machine learning roles and explain what each one involves — plus what you need to do to prepare for them.
## Data Scientist
### What is it?
A data scientist is the most well-known role, but has the largest range of job responsibilities.
In general, there are two types of data scientists:
* Analytics and experiment-focused.
* Machine learning and modelling focused.
The former includes things like running A/B tests, conducting deep dives to determine where the business could improve, and suggesting improvements to machine learning models by identifying their blind spots. A lot of this work is called explanatory data analysis or EDA for short.
The latter is mainly about building PoC machine learning models and decision systems that benefit the business. Then, working with software and machine learning engineers, to deploy those models to production and monitor their performance.
Many of the machine learning algorithms will typically be on the simpler side and be regular supervised and unsupervised learning models, like:
* XGBoost
* Linear and logistic regression
* Random forest
* K-means clustering
I was a data scientist at my old company, but I mainly built machine learning models and didn’t run many A/B tests or experiments. That was work that was carried out by data analysts and product analysts.
However, at my current company, data scientists don’t build machine learning models but mainly do deep-dive analysis and measure experiments. Model development is mainly done by machine learning engineers.
It all really comes down to the company. Therefore, it is really important that you read the job description to make sure it’s the right job for you.
### What do they use?
As a data scientist, these are generally the things you need to know (it’s not exhaustive and will vary by role):
* Python and SQL
* Git and GitHub
* Command Line (Bash and Zsh)
* Statistics and maths knowledge
* Basic machine learning skills
* A bit of cloud systems (AWS, Azure, GCP)
I have roadmaps on becoming a data scientist that you can check out below if this role interests you.
> [How I’d Become a Data Scientist (If I Had to Start Over)](https://towardsdatascience.com/how-id-become-a-data-scientist-if-i-had-to-start-over-d966a9de12c2/)
## Machine Learning Engineer
### What is it?
As the title suggests, a machine learning engineer is all about building machine learning models and deploying them into production systems.
It originally came from software engineering, but is now its own job/title.
The significant distinction between machine learning engineers and data scientists is that machine learning engineers deploy the algorithms.
As leading AI/ML practitioner [Chip Huyen](https://huyenchip.com/ml-interviews-book/contents/1.1.3.3-machine-learning-engineer-vs.-data-scientist.html) puts it:
> _The goal of data science is to**generate business insights** , whereas the goal of ML engineering is to **turn data into products**._
You will find that data scientists often come from a strong maths, statistics, or economics background, and machine learning engineers come more from science and engineering backgrounds.
However, there is a big overlap in this role, and some companies may bundle the data scientist and machine learning engineer positions into a single job, frequently with the data scientist title.
The machine learning engineer job is typically found in more established tech companies; however, it is slowly becoming more popular over time.
There also exist further specialisms within the machine learning engineer role, like:
* ML platform engineer
* ML hardware engineer
* ML solutions architect
Don’t worry about these if you are a beginner, as they are pretty niche and only relevant after a few years of experience in the field. I just wanted to add these so you know the various options out there.
### What do they use?
The tech stack is quite similar for machine learning engineers as for data scientists, but has more software engineering elements:
* Python and SQL, however, some companies may require other languages. For example, in my current role, Rust is needed.
* Git and GitHub
* Bash and Zsh
* AWS, Azure or GCP
* Software engineering fundamentals like CI/CD, MLOps and Docker.
* Excellent machine learning knowledge, ideally a specialism in an area.
## AI Engineer
### What is it?
This is a new title that cropped up with all the AI hype going on now, and to be honest, I think it’s an odd title and not really needed. Often, a machine learning engineer will do the role of an AI engineer at most companies.
Most AI engineer roles are actually about GenAI, not AI as a whole. This distinction normally makes no sense to people outside of the industry.
However, AI encompasses almost any decision-making algorithm and is larger than the machine learning field.
Image by author.
The current definition of an AI engineer is someone who works mainly with LLM and GenAI tools to help the business.
They don’t necessarily develop the underlying algorithms from scratch, mainly because it’s hard to do unless you’re in a research lab, and many of the top models are open-sourced, so you don’t need to reinvent the wheel.
Instead, they focus on adapting and building the product first, then worrying about the model fine-tuning afterwards. So, they wu
It is a lot closer to traditional software engineering than the machine learning engineer role as it currently stands. Although many machine learning engineers will operate as AI engineers, the job is new and not fully fleshed out yet.
### What do they use?
This role is evolving quite a bit, but in general, you need good knowledge of all the latest GenAI and LLM trends:
* Solid software engineering skills
* Python, SQL and backend languages like Java or GO are useful
* CI/CD
* Git
* LLMs and transformers
* RAG
* Prompt engineering
* Foundational models
* Fine tuning
> I also recommend you check out Datacamp’s associates AI engineer for data scientist track, that will also set you up nicely for a career as a data scientist. This is linked in the description below.
## Research Scientist/Engineer
### What is it?
The previous roles were mainly industry positions, but these next two will be research-based.
Industry roles are mainly associated with business and are all about generating business value. Whether you use linear regression or a transformer model, what matters is the impact, not necessarily the method.
Research aims to expand the current knowledge capabilities theoretically and practically. This approach revolves around the scientific method and deep experiments in a niche field.
The difference between what’s research and industry is vague and often overlaps. For example, a lot of the top research labs are actually big tech companies:
* Meta Research
* Google AI
* Microsoft AI
These companies initially started to solve business problems, but now have dedicated research sectors, so you may work on industry and research problems. Where one begins and the other ends is not always clear.
If you are interested in exploring the differences between research and industry more deeply, I recommend you read this document. It’s the first lecture of [Stanford’s CS 329S, lecture 1: Understanding machine learning production](https://docs.google.com/document/d/1VuofeF5okBATz1F7HRQmOgi5Jc4bmUiHMYjRqwF-29s/edit?usp=sharing).
In general, there are more industry positions than research, as only the large companies can afford the data and computing costs.
Anyway, as a research engineer or scientist, you will essentially be working on cutting-edge research, pushing the boundaries of machine learning knowledge.
There is a slight distinction between the two the jobs. As a research scientist, you will need a Phd, but this is not necessarily true for a research engineer.
A research engineer typically implements the theoretical details and ideas of the research scientist. This role is usually at large, established research companies; in most situations, the research engineer and scientist jobs are the same though.
Companies may offer the research scientist title as it gives you more “clout” and makes you more likely to take the job.
### What do they use?
This one is similar to machine learning engineering, but the depth of knowledge and qualifications is often greater.
* Python and SQL
* Git and GitHub
* Bash and Zsh
* AWS, Azure or GCP
* Software engineering fundamentals like CI/CD, MLOps and Docker.
* Excellent machine learning knowledge and a specialism in a cutting-edge area like computer vision, reinforcement learning, LLM, etc.
* PhD or at least a master’s in a relevant discipline.
* Research experience.
This article has just scratched the surface of machine learning roles, and there are many more niche jobs and specialisms within these four or five I mentioned.
I always recommend starting your career by getting your foot in the door and then pivoting to the direction you want to go. This strategy is much more effective than tunnel vision for only one role.
## Another thing!
I offer 1:1 coaching calls where we can chat about whatever you need — whether it’s projects, career advice, or just figuring out your next step. I’m here to help you move forward!
[**1:1 Mentoring Call with Egor Howell** _Career guidance, job advice, project help, resume review_ topmate.io](https://topmate.io/egorhowell/1203300)
## Connect with me
* [**YouTube**](https://www.youtube.com/@egorhowell)
* [**LinkedIn**](https://www.linkedin.com/in/egorhowell/)
* [**Instagram**](https://www.instagram.com/egorhowell/)
* [**Website**](https://egorhowell.com/)
Written By
Egor Howell
[See all from Egor Howell](https://towardsdatascience.com/author/egorhowell/)
|
4 weeks ago
|
Towards Data Science
|
data:image/jpeg;base64,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
| 5 |
machine learning job market
|
2025-06-17 14:02:47
| null |
Land Your Dream Machine Learning Job in 2025
|
https://www.kdnuggets.com/land-your-dream-machine-learning-job-in-2025
|
We're in the new year and if you've been scoping the job market, you probably think finding a job is nearly impossible.
|
Land Your Dream Machine Learning Job in 2025
In this article, I will go through 5 pointers on how to help you secure your dream job.
By Nisha Arya, Contributing Editor & Marketing and Client Success Manager on March 25, 2025
We’re in the new year and if you’ve been scoping the job market, you probably think finding a job is nearly impossible. It does feel like this. Many organisations are downsizing, they don’t have money, and more and more jobs are becoming automated. It's a scary time to be trying to find a job.
In this article, I will go through 5 pointers on how to help you secure your dream job. Stop making the same mistakes over and over again and learn about the different ways you can land your ideal machine learning position.
## 1. Show Off Your Skills
Let’s be honest: there’s so much you can provide in your resume without it becoming a small biography. Therefore, you need to find other ways to showcase your skills. By doing this, you will show your future employer the skills you have and the value you can bring to the organisation. GitHub and other platforms allow you to show off your skills through project-based work, providing your future employer insights into your skillset.
Another way you can showcase your skills and go above and beyond is through open source code. There is a ridiculous amount of open source code out there and some is not top-notch. If you find a bug in Hugging Face’s open source code, you can run your tests, ensure your fixes have improved, and create a pull request. You can communicate with the team at Hugging Face, showcase your skills, and hopefully land a job with them (it has happened before).
## 2. Work On Projects
There are a lot of projects out there and what you need to be doing is figuring out how to find them and continue to actively look for them. Working on projects is what is going to set you apart from the competition. A lot of people focus on doing course after course and rarely realise the importance of applying your learned skills to real-life projects.
Not every project is going to be great but one or two with great value can make a big difference to you landing a job.
## 3. Look For Companies
If you want to go a step further and do projects for specific companies to really showcase your skills. To do this, you will need to expand your current network as well as consistently be informed on what is new. One of the best ways to do this is by subscribing to newsletters such as The AI Report which sends out weekly newsletters informing you of what is new in the market. With this information, you can check out new research papers or company releases that may be interested in project-based work.
Another tip is checking out startups. It is easy for people to levitate towards the big companies but don’t lose sight of the value of startups and what they can offer in the long game. There are a lot of organisations that have recently raised funding and will be looking for project-based work; you can check some of them out here.
## 4. Network Like Hell!
Networking is generally not taught to AI and machine learning professionals. However, knowing the right people is so important to your career growth. If you do not know anybody to help you get in the door, you will never be able to improve your career.
Don’t shut yourself out from networking events. Many machine learning professionals have work for home jobs, and as a result they rarely get out to connect with people. Networking events are a great opportunity for you to attend professional conferences or tech meetups which will allow you to connect with tons of people from different scopes.
## 5. Make People Find You
Why not make people find you, rather than you going out to find them?
This goes back to showcasing your skill. When you do a new project, or learn something new, why not share it online and see where your social media posts or blog posts land? They may fall into the hands of your next employer; you just never know.
You can use platforms such as Medium to showcase your projects as a blog, LinkedIn to create social media posts, or create a YouTube channel and create videos. There are various ways you can create content and it can make a difference in helping your next employer find you rather than you searching for them.
## Wrapping Up
These 5 tips are to help you try different ways to land your dream machine learning job rather than sitting around waiting for the vacancy you applied for to reply. Sometimes you have to make the moves to create your next move.
Nisha Arya is a data scientist, freelance technical writer, and an editor and community manager for KDnuggets. She is particularly interested in providing data science career advice or tutorials and theory-based knowledge around data science. Nisha covers a wide range of topics and wishes to explore the different ways artificial intelligence can benefit the longevity of human life. A keen learner, Nisha seeks to broaden her tech knowledge and writing skills, while helping guide others.
|
2 months ago
|
KDnuggets
|
data:image/jpeg;base64,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
| 6 |
machine learning job market
|
2025-06-17 14:02:47
| null |
How to Become a Deep Learning Engineer in 2025? Description, Skills & Salary
|
https://www.simplilearn.com/tutorials/artificial-intelligence-career-resources/deep-learning-engineer
|
Deep Learning is a subset of Artificial Intelligence and Machine Learning and many Deep Learning Engineers start with AI and ML.
|
How to Become a Deep Learning Engineer in 2025? Description, Skills & Salary
By Simplilearn
Last updated on Jun 9, 2025
With the advent of deep learning, the world has changed.
Deep learning is gaining popularity because it's powerful and so easy to use that anyone can use it.
It has led to an explosion in its adoption. If you look at the number of companies using deep learning for their products, you'll see that it's grown by over 200% in just two years!
It's also gaining popularity because it works and works well. Companies like Google have been using deep learning for years to improve their products and services.
## What Is Deep Learning?
Deep Learning is a branch of machine learning dealing with artificial neural networks that are inspired by the structure and function of the brain. It is a sort of machine learning and artificial intelligence (AI) that mimics how people acquire knowledge. Data science encompasses both statistics and predictive modeling, as well as deep learning. A deep learning engineer is especially well served by deep learning since it speeds up and simplifies the process of gathering, analyzing, and interpreting massive amounts of data. In its simplest form, deep learning can be viewed as a method of automated predictive analytics. Unlike conventional machine learning algorithms, deep learning algorithms are layered with increasing complexity and abstraction.
## Who Is a Deep Learning Engineer?
A deep learning engineer's duty is to be an expert in the design and implementation of learning algorithms based on deep and complicated neural network topologies. Because the techniques utilized are more sophisticated theoretically, this is more technical work than that of a "traditional" machine learning engineer. In agriculture, for example, deep learning enables machines to recognize plants and apply the appropriate treatment, lowering pesticide usage and increasing output. Visual recognition is at the heart of the system. Convolutional neural networks (mostly geared to image recognition) and recurrent neural networks are examples of deep learning (efficient for time series problems).
## What Does a Deep Learning Engineer Do?
An Artificial Intelligence project's concept and development include several life stages. Initially, a deep learning engineer is involved in the project's data engineering and modeling phase. He is also an important element of the project's deployment and infrastructure. Deep learning engineers do data engineering duties such as creating project data needs, and gathering, categorizing, examining, and cleaning data. They are also involved in modeling activities such as training deep learning models, developing evaluation measures, and searching for model hyperparameters. A deep learning engineer's work includes deployment duties such as turning prototyped code into production code and setting up a cloud infrastructure to deploy the production model.
## Deep Learning Engineer vs. Machine Learning Engineer
It takes a lot of work to decide between becoming a deep learning engineer or a machine learning engineer.
Both careers are in high demand and will be for many years.
But before you make your decision, consider these fundamental differences between these two roles:
1. Deep Learning Engineers are more concerned with a system's architecture than its function. Machine Learning Engineers tend to be more concerned with the process of a system than its architecture.
2. Deep Learning Engineers use deep neural networks and other techniques like reinforcement learning to train systems to learn particular tasks and perform them automatically. Machine Learning Engineers are more focused on building algorithms that can learn from data without being explicitly programmed by humans. Still, they don't necessarily use deep neural networks or reinforcement learning techniques as often as Deep Learning Engineers do.
3. Deep Learning Engineers tend to work closely with software developers, who write code for their systems' functionality and use deep neural networks as components within those programs (for example, using convolutional layers for image recognition). Machine Learning Engineers work closely with data scientists who use large amounts of data as inputs into their algorithms (for example, using logistic regression.
## How to Become a Deep Learning Engineer?
You cannot become an experienced deep learning engineer overnight. You must begin your journey as a data scientist or ML engineer in order to garb this position. Mathematics, Statistics, Probability, and, of course, programming are the foundations for all of these employment categories. To thrive in your deep learning job, you must be well-versed in Machine Learning ideas, including both supervised and unsupervised learning approaches. The online courses will be of great use to you. It is critical to becoming acquainted with and hands-on with various ML/DL libraries and frameworks for model construction. Furthermore, because the majority of popular libraries and frameworks are Python-based, you must be fluent in the Python programming language.
## Skills Required for Becoming a Deep Learning Engineer
Deep learning engineers are responsible for developing and maintaining machine learning models. They typically work with a team of data scientists, software engineers, and other specialists to create new AI-powered systems that can perform tasks like image recognition or natural language processing.
### Software Engineering
Algorithms (including knowing how to create algorithms that can sort, optimize, and search) are some of the most critical computer science principles for Deep Learning Engineers to comprehend, as are data structures and computer architecture. Because a DL Engineer's typical output is software, they should be familiar with software engineering best practices, particularly those concerning system design, version control, testing, and requirements analysis.
### Data Skills
Many of the same skills as a Data Scientist are needed of a DL Engineer, such as data modeling, technical ability with programming languages such as Python and Java, and knowing how to assess prediction algorithms and models. A grasp of probability and statistics would also be beneficial.
### Frontend/UI Technology
When you have your Machine Learning solution ready, you must offer it to others in the form of charts or visualizations, because the person to whom you are discussing may not be familiar with these methods and would prefer a functional solution to his problem. So knowing any UI technology like Django, Flask, and if necessary, JavaScript can help with this development process. Your Machine Learning code will be the backend, while you will design a frontend for it.
### Cloud Technology
As technology advances, the quantity of data that can be managed on a local server grows exponentially, necessitating the use of cloud technologies. These systems provide excellent services ranging from data preparation to model creation.
### Soft Skills
Despite the fact that machine learning is a technical job title, soft skills are nevertheless vital. Even if you are an expert in machine learning, you will still need to be skilled in communication, time management, and teamwork. A DL Engineer must also be devoted to lifelong learning. Because the disciplines of artificial intelligence, deep learning, machine learning, and data science are developing so quickly, any professional who wants to stay on the cutting edge must pursue continuous education.
## Deep Learning Engineer Job Role
An important role in Artificial Intelligence and Machine Learning is that of Deep Learning Engineer.
* This job requires a strong understanding of the discipline and the ability to implement it successfully in various contexts.
* A Deep Learning Engineer may be responsible for creating or improving models for image recognition, voice recognition, natural language processing, etc.
* They may also be called upon to design new algorithms that improve the effectiveness of these models.
* Work to develop new neural networks that can solve complex problems
* You will work with your team to create and maintain complex deep-learning models to help the company achieve its goals.
## Deep Learning Engineer Roles and Responsibilities
A deep learning engineer is responsible for building and maintaining the algorithms that power Artificial Intelligence applications. These engineers must be able to work with various technologies, including machine learning, data science, artificial intelligence, and big data.
They must also be able to understand the business context in which their work will be applied so that they can develop solutions that provide significant value for their company.
|
1 week ago
|
Simplilearn.com
|
data:image/jpeg;base64,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
| 7 |
machine learning job market
|
2025-06-17 14:02:47
| null |
The AI Revolution: Are New Graduates Ready for the Job Market?
|
https://thepioneeronline.com/48719/centertop/the-ai-revolution-are-new-graduates-ready-for-the-job-market/
|
As Artificial Intelligence (AI) increasingly impacts the job market, students face the pressing challenge of adapting to a rapidly changing...
|
The AI Revolution: Are New Graduates Ready for the Job Market?
By Adrian Rodriguez, Staff Writer
March 30, 2025
As Artificial Intelligence (AI) increasingly impacts the job market, students face the pressing challenge of adapting to a rapidly changing work environment. The skills and knowledge they cultivate now will determine their success in a future where human and machine collaboration is the norm.
At the forefront of this transformation is a comprehensive understanding of AI technology. Students must familiarize themselves with fundamental concepts such as machine learning, data analytics, and automation.
In addition, Monet Khan, First generation alumna of Columbia University, shares her thoughts on the transformative role of artificial intelligence in today’s job market and educational landscape. She reflects on the potential risks and rewards of AI, expressing concern over job displacement while recognizing the possibility of new opportunities.
After six years away from academia, Khan explains the necessity for institutions to swiftly revise their curricula to meet the demands of a rapidly changing workforce. “AI will challenge new grads unless colleges/institutions quickly adapt to the changes and prepare students properly if they haven’t already,” she asserts. Her perspective stresses the critical need for robust AI training programs to equip students for the future.
According to the Pew Research Center, jobs that place in the top 25% when ranked by the importance of work activities with high exposure to AI are judged to be the most exposed to its impact. Contrarily, jobs placed in the top 25% with low exposure to AI activities are deemed the least affected.
Digital literacy is no longer optional; grasping the basics of AI will empower students to navigate their educational and professional paths effectively. Educational institutions are stepping up, integrating AI-driven curricula that prepare students to leverage these tools for enhanced productivity and creativity.
Critical thinking and problem-solving abilities rank high on the list of essential skills. While AI excels at handling data and automating routine tasks, human insight and intuitive judgment remain irreplaceable.
To cultivate these skills, students are encouraged to engage in activities that foster creativity and innovative thinking—be it through hackathons, entrepreneurship clubs, or design projects. These experiences not only deepen academic understanding but also cultivate the adaptable mindset that employers prize in an ever-evolving workforce.
AI can streamline communication, but it cannot replicate the depth of human connection. Students should prioritize developing emotional intelligence and teamwork capabilities through group projects, internships, and volunteer opportunities. These experiences prepare them to navigate workplace dynamics and foster the collaborative relationships that drive innovation.
Ethical considerations surrounding AI are a growing concern, making it imperative for students to engage in conversations about privacy, algorithmic bias, and societal impact. Understanding the ethical implications of their work equips students to make responsible choices and contribute positively within their industries. Programs emphasizing ethics in technology will produce well-rounded professionals who can navigate the moral landscape of AI.
Gaining real-world experience is essential as students prepare to enter an AI-dominated job market. Internships and hands-on projects allow them to apply their theoretical knowledge in practical settings.
Actively seeking internships that involve AI tools or data analysis not only enhances their resumes but also gives them a competitive edge. Networking with professionals within tech sectors can offer invaluable insights into current practices and future trends.
Adaptability emerges as a pivotal trait for thriving in this AI-influenced world. With technology evolving at breakneck speed, students must embrace a mindset of lifelong learning. Committing to continuous education through online courses, workshops, and professional development opportunities ensures they remain relevant in their careers.
As AI continues to reshape various industries, students must take proactive steps to prepare for a new work environment. By building a robust understanding of AI, honing problem-solving skills, focusing on interpersonal communication, engaging in ethical debates, securing real-world experiences, and embracing lifelong learning, they are poised to excel in the workforce of the future.
As the relationship between human creativity and AI evolves, today’s graduates must familiarize themselves with these tools. While there is ongoing debate about whether AI will take over various jobs, understanding and leveraging AI can significantly enhance their career prospects.
Embracing these technologies will not only equip them to navigate a rapidly changing job market but also empower them to innovate and lead in a world that increasingly values adaptability and forward-thinking. By harnessing the power of AI, graduates can position themselves for success in an era full of opportunities and challenges.
|
2 months ago
|
The Pioneer
|
data:image/jpeg;base64,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
| 8 |
machine learning job market
|
2025-06-17 14:02:47
| null |
How AI Is Reshaping Industries And Creating Tomorrow’s Job Market
|
https://www.forbes.com/councils/forbestechcouncil/2024/11/20/how-ai-is-reshaping-industries-and-creating-tomorrows-job-market/
|
Discriminative AI, including machine learning and deep learning, is reshaping traditional industries while GenAI is starting to push the...
|
Brandon Wang is vice president of Synopsys. gettyThe artificial intelligence landscape is undergoing a seismic shift every
bit as transformative as the Industrial Revolution and the internet boom.
Discriminative AI, including machine learning and deep learning, is
reshaping traditional industries while GenAI is starting to push the
boundaries of human creativity. When combined with rapid advancements in AI
hardware and the promise of emerging technologies like quantum AI, it’s
clear we are in just the first steps of an ongoing technological revolution.AI is relevant across all industries, including the chip design vertical.
Now AI-driven electronic design automation (EDA) solutions can deliver over
a 10% improvement in performance, power, and area (PPA), up to 10x faster
turnaround times and double-digit improvements in verification coverage,
among other benefits. In the healthcare industry, AI algorithms can analyze
medical images faster and more accurately than human professionals and
AI-based drug discovery can significantly reduce the time to market for new
therapies.The Rise Of AI Agents: A New FrontierOne of the most exciting technological developments in the AI landscape is
the emergence of AI agents. These function similarly to automated assembly
lines, breaking down large tasks into mini-tasks and using AI to execute
each one more efficiently. AI agents can be categorized into five levels
along a spectrum of autonomy, ranging from simple reactive level L1 agents
to fully autonomous L5 agents.Current agent applications operate mostly at L2 or L3, but the potential
for L4 strategic decision-making and adaptive L5 agents could revolutionize
sectors from robotics to healthcare. It's anticipated that L4-level agents
will be widely implemented in specialized areas like autonomous robotic
surgery by 2035. Applications of L5 AI agents including fully autonomous
surgeries and personalized medicine, on the other hand, may not become
widespread until 2050 or later.Among their advantages, these agents promise productivity improvements and
may compensate for workforce gaps. However, AI agents also introduce
significant challenges. The main hurdle is error compounding, a serious
concern in AI systems that perform complex tasks. That’s why higher levels
of agent autonomy require increased accuracy to counteract errors that can
accumulate in multistage processes. Other challenges include limited
context memory where vector databases can cause hallucinations and task
planning challenges due to heavy reliance on prompting, which limits
scalability.Transforming The Job MarketThe rapid advancement of AI has raised understandable concerns about its
impact on the job market. But history suggests that technological
disruptions typically increase GDP and create jobs overall, driven by new
demands and applications.A good example is the semiconductor industry, which has been
resource-constrained from the start both in terms of capital expenditure
and talent. In particular, integrated circuit (IC) designers represent a
relatively small talent pool, with an estimated workforce in the tens of
thousands globally—significantly less than the 28.7 million software
developers and 73 million IT professionals worldwide as of 2024. The demand
for IC design work has continually exceeded the available talent, so
AI-driven productivity gains can help bridge this gap. For example, if
meeting current demand typically requires 100 IC designers, AI could enable
70 designers to achieve the same output, compensating for a workforce
shortage or freeing up resources to tackle additional unmet demands. Design
automation tools with embedded AI capabilities have proven to increase
designers’ productivity. function loadConnatixScript(document) { if (!window.cnxel) { window.cnxel
= {}; window.cnxel.cmd = []; var iframe = document.createElement('iframe');
iframe.style.display = 'none'; iframe.onload = function() { var iframeDoc =
iframe.contentWindow.document; var script =
iframeDoc.createElement('script'); script.src =
'//cd.elements.video/player.js' + '?cid=' +
'62cec241-7d09-4462-afc2-f72f8d8ef40a'; script.setAttribute('defer', '1');
script.setAttribute('type', 'text/javascript');
iframeDoc.body.appendChild(script); }; document.head.appendChild(iframe);
const preloadResourcesEndpoint =
'https://cds.elements.video/a/preload-resources-ovp.json';
fetch(preloadResourcesEndpoint, { priority: 'low' }) .then(response => { if
(!response.ok) { throw new Error('Network response was not ok',
preloadResourcesEndpoint); } return response.json(); }) .then(data => {
const cssUrl = data.css; const cssUrlLink = document.createElement('link');
cssUrlLink.rel = 'stylesheet'; cssUrlLink.href = cssUrl; cssUrlLink.as =
'style'; cssUrlLink.media = 'print'; cssUrlLink.onload = function() {
this.media = 'all'; }; document.head.appendChild(cssUrlLink); const hls =
data.hls; const hlsScript = document.createElement('script'); hlsScript.src
= hls; hlsScript.setAttribute('defer', '1'); hlsScript.setAttribute('type',
'text/javascript'); document.head.appendChild(hlsScript); }).catch(error =>
{ console.error('There was a problem with the fetch operation:', error);
}); } } loadConnatixScript(document); Insights from McKinsey show the semiconductor industry will need
substantial talent investments to meet AI's growing compute demands, with
an emphasis on specialized domains such as AI accelerators and
high-performance GPUs. This demand is likely to create tens of thousands of
new jobs worldwide over the next decade.With AI innovation, a long and growing list of new jobs will emerge, such
as AI agent developers, ethicists and prompt engineers. In the future, AI
personality designers could craft brand-specific AI personalities, AI
trainers could enhance models with quality data and fine-tuning and AI
system auditors could evaluate for biases and regulatory compliance.Meanwhile, AI also brings requirements for new skills, and not just
technical skills like machine learning and data science. It also requires
human-centric skills such as creative problem-solving, critical thinking
and emotional intelligence—ones AI won’t be replacing any time soon.Deploying AI- More Of A Defensive Strategy?The stakes are high for businesses considering AI adoption, and the
competitive risks of delaying implementation are making it more of a
defensive strategy. Companies should analyze what kind of impact AI will
have on their existing applications, its potential for new applications and
technology barriers that can help guide their build-versus-buy strategy.When deploying AI, businesses should carefully consider timing as well as
demand. Would it be better to build internal AI capacity or leverage
commercial platforms? Can you satisfy demand with current resources or are
opportunities being left on the table?The Three Waves Of AI EvolutionMajor technology disruption is rare and it occurs every two or three
decades. The last major phase brought us into the age of the internet,
which evolved through three distinct waves. The first was the
infrastructure buildout, where foundational support for internet
development was established. For example, companies like Cisco and JDSU
helped build the networking infrastructure. The second wave brought
enterprise-level growth with a focus on developing and managing software
platforms and services built on top of the internet technology such as
Salesforce and Adobe. The third wave introduced mobility and millions of
applications tailored to end consumers’ needs across a range of sectors.AI is the mega tech disruption now, and it appears to be following a
similar path through phases of infrastructure, enterprise and application.
So where are we now? Are we at the beginning of the infrastructure wave, in
the midst of an explosion of LLMs generated from high-performance computing
(HPC) data centers? The demands for semiconductor chips for computing are
soaring, whether GPU or custom ASICs. And if so, will the second and third
waves of AI—enterprise integration and edge applications—arrive sooner than
they did in the internet age? Given the speed of advancements in AI, it’s
possible these phases may unfold at a quicker rate, resulting in industries
transforming even faster than the internet did.Forbes Technology Council is an invitation-only community for world-class
CIOs, CTOs and technology executives. Do I qualify?
|
6 months ago
|
Forbes
|
data:image/jpeg;base64,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
| 9 |
machine learning job market
|
2025-06-17 14:02:47
| null |
Canadian AI job market shifting, favouring specialized, in-demand skills
|
https://www.globenewswire.com/news-release/2024/10/30/2971644/0/en/Canadian-AI-job-market-shifting-favouring-specialized-in-demand-skills.html
|
New report reveals 37% surge in demand for core AI skills in Canada as broader tech roles see decreased demand...
|
Canadian AI job market shifting, favouring specialized, in-demand skills
New report reveals 37% surge in demand for core AI skills in Canada as broader tech roles see decreased demand
October 30, 2024 08:00 ET | Source: Vector Institute
TORONTO, Oct. 30, 2024 -- Today, the Vector Institute issued a new report, prepared by the Conference Board of Canada in partnership with the Future Skills Centre, aimed at better understanding and addressing challenges in building an artificial intelligence (AI) capable workforce in this country. The report highlights a significant shift in Canada’s AI talent landscape with implications for businesses, job seekers, and post-secondary institutions.
The report reveals a 37% increase in demand for core AI skills from 2018 to 2023. The growing demand is driven by rising needs in knowledge areas like machine learning, deep learning, and AI ethics and governance, which are directly related to AI development and application.
In contrast, demand for peripheral AI skills — those supporting AI use but applicable in other contexts — dropped by 46.4% during the same period. The decrease in demand for peripheral skills like software development and design or cloud computing suggests that automation tools and programs are increasingly augmenting these skills.
"This report offers a crucial industry perspective on AI hiring," said Melissa Judd, Vice President of Research Operations & Academic Partnerships at the Vector Institute. “It highlights three critical findings: a significant increase in demand for AI skills, the fundamental importance of deep technical expertise for employers, and the abundance of these skills in Canada's workforce. Early national investment in AI talent development has positioned Canada as a leader in this field. We must now focus on cultivating translational skills that bridge technical expertise with business and domain-specific applications, and increase capacity in AI governance to capitalize on this leadership."
Other findings from the report include:
* Skills related to running AI systems and managing machine learning projects experienced the largest growth with job postings in Canada increasing by 48% and 60% respectively since the lifting of pandemic restrictions.
* Canadian start-ups and scale-ups still face challenges in hiring senior, specialized employees, often losing candidates to competitors in Canada and the United States.
* Larger Canadian organizations in AI-adjacent sectors such as health, retail, and transportation each report challenges in AI adoption, including cost concerns and a lack of AI literacy among decision-makers.
* While the United States leads in AI adoption and research investment, it faces a significant talent shortage, particularly in advanced AI skills. In contrast, Canada boasts a robust AI talent pool but must focus on leveraging this pool to boost industry adoption and investment. Achieving this leverage is key to attracting and retaining top AI talent and researchers and ensuring Canada remains at the forefront of AI innovation.
To maintain Canada's AI talent edge, the report contains key recommendations including:
* Strengthening AI education: Continue producing top-tier AI specialists through advanced research programs at Canadian post-secondary institutions, leveraging Canada's existing global AI advantage, and expanding programs that foster cross-disciplinary expertise in AI and domains such as health and finance. Canada also needs to support high-quality training for people to integrate AI tools into their existing roles and become more resilient during future labour market changes.
* Boosting business R&D: Encourage Canadian companies to increase investment in AI R&D, creating opportunities for top talent to innovate domestically and drive economic growth.
* Bridging academia and industry: Expand work-integrated learning programs, such as internships and co-ops, to connect students with real-world data and AI applications and to help businesses access a skilled AI workforce.
* Empowering C-suite leadership: Educate executives on AI's potential, ethical implications, and responsible use to help drive informed decision-making on AI adoption.
* Implementing AI governance: Establish structures addressing ethics, privacy, and security to build trust and overcome adoption barriers.
“While Canada excels at developing technical talent, a lack of capital investment in research and development as well as slow adoption of emerging technologies threatens to erode this competitive advantage,” said Alain Francq, Director, Innovation and Technology at The Conference Board of Canada. “Continuing to cultivate top-tier AI talent and retaining these professionals will be crucial if Canada is to remain competitive in the global AI landscape.”
“Technical AI skills are in high demand, but they first require strong foundational information processing abilities. Just as important are soft skills like teamwork and critical thinking, which remain future-proof and, when combined with technology, amplify impact," said Noel Baldwin, Executive Director at the Future Skills Centre. "As AI reshapes the workforce, ongoing training, lifelong learning, and collaboration between governments, employers, and workers are essential to help people transition into new roles and gain the skills to thrive."
To learn more, read the full “Artificial Intelligence Talent in Canada” report.
|
7 months ago
|
GlobeNewswire
|
data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAHcAAABCCAMAAABaULmmAAAAnFBMVEX///8AAAAjHyD39/fd3Nzo6Ojv7+/tAIjW1tbg4ODLy8vZ2dmkpKRTUlK2tbX6+vrtAIzDwsIIAAMSDw8eGhtpaGhFQ0Sbmpr66PJ0c3MbFhitrK3sAIR/fX68u7wXEROMi4z88/j0nsjygLbrAH72uNb4z+PvWqXtNJf51+k9Ozs1MzPvaq1fXl8tKyvrAHj3xt3yq83zlcLuQpqsD7OAAAADV0lEQVRYhe1X63aiMBCe4U4IIspFRBRdba1Wt9t9/3fbmYhb1LZmz1r7h+8cQyYM+ZLJXCJAhw4dOnTo0EEP88X8G1hHP/rL1RfOb1st+MfRh8eJ2++vTxSdprUJ3Hc84YDDkm2SaAmbFXwhHB3eClvIDmMv64lLtP3lU0ux2DAXTiNWrABKfpob9V0PrC0auAOIjGSMpSbvzGBQJzyM9SeT9YKI3eeWoo9kjR6CiWpfU4wBPNqaQJJMXomzIeL9lFakwWsJ4aVMjIJ6amj18/EFVq777LqjluYmBwjrI29WNcMxs8i9mouWRrw+mhrEBA+ZNz6Kv5ht7T7OXfe1pVUOyMw+8RKmQLZt8Rap6qOAbS6ynR4tbSUxjPGJ9tNk8gK04daQg4HM2KSxFZgwy9u8tTohEz3YZINMlxbyAW14YLdGnt11BE/LflsrrbKSJ1f+Witjmg2vpaxV7fl8fbKGJhw29CB/G5gvlYndRVtLIHOZmBZpDlGIdZ14DS/kWNQZBhAlPfIrGzQRjg0j2b7Ji8mSD3k1OtHK+UyjnMCdaVXxwz8s16oLyYaQAf10AklhqjzL+yuTV+l++l8wDfKs2TE04IG96i6ohrTh5Bh3yqvugkAZ+hiTvyevFxpeD0zJCVzadMZFCZaUpZQxybbqkUORP9klCCUGjpQy9y7mOcOWQ7jJk5SxRhcKFLsOsutRcghDufVEmuIulST7uwLDtOY3nDbLdIdpGvvUpPHFPOfTqg03ATB/x6tkCM54UDOvw3p8EGhRMyA2MChmzSHzDumFzbGlly4dlTrqRnqn4jPvICafp11tMuZS+anhHffavD6qRljBdTfh4pDsP37PvGhLg3ntFLf2dV7C9QwilKHF57w+ZPlBh+vROe/sjFevLHEkzYprvDaiiCgnFcUJb8KhsK3J7f+Zt+YT/lg3Z3+2uPQLYMXgyKtKgrpjCEwyNCIuE6oh1Nd5fWXoD1Or40MU8Ko8E5zmEqXkQ6NkGvf4RE1eTxQEVqBTIVRx0C+eN0OpNmzdndfEdgjfEQWHsHGnitCCdyWEvwx8vxtqXkJvCbrfDavrajeHje3Lzh0Rzj6pDF+IGHP4hvOlPOsIqfU/8saIwZ/eP4A7dOjQoUOHDjfHHxX1LuIolCSaAAAAAElFTkSuQmCC
| 10 |
machine learning job market
|
2025-06-17 14:02:47
| null |
Machine learning opens a window for mid-career job opportunities
|
https://m.economictimes.com/jobs/mid-career/machine-learning-opens-a-window-for-mid-career-job-opportunities/articleshow/112441572.cms
|
ML engineers, data scientists, AI research scientists and product managers are some of the roles seeing a surge in demand.
|
Machine learning opens a window for mid-career job opportunities
By Riya Tandon, ET Online
Last Updated: Aug 11, 2024, 01:48:00 PM IST
Machine learning has become an attractive career choice due to its applications in customer insights and operational efficiency. Opportunities abound for both freshers and mid-career professionals, thanks to accessible learning platforms. Key skills include proficiency in Python, statistical knowledge, and familiarity with machine learning frameworks. Freelance ML roles are also in high demand.
With more and more businesses across industries adopting automation and leveraging data to grow, a career in machine learning (ML) seems promising. Considered a division of artificial intelligence, this field has become an attractive career pathway not only for freshers but for mid-career professionals as well. ML learning is gaining prominence in areas such as customer insights and personalisation, operational efficiency, fraud detection and security, customer service and support, sales and marketing, human resources, product development, financial forecasting and management, says Anesh Korla, EVP & COO, Encora, India.
ML engineers, data scientists, AI research scientists and product managers are some of the roles seeing a surge in demand. Om Prakash Shanmugam, Senior Vice President, Engineering, VideoVerse, says there are plenty of opportunities for mid-career professionals looking to switch to machine learning roles. While deep technical expertise used to be a prerequisite to getting started with AI/ML, recent advancements have democratised access to the field, allowing individuals with basic knowledge to pursue high-demand roles, he explains.
Prompt engineers, data scientists, AI creative professionals, data annotators, and AI safety engineers are some of these in-demand roles. Hinting at the pay structure for these roles, he says, it is Rs 2.5-10 lakh per annum depending on experience and expertise.
For a seamless transition to machine learning roles, Korla says individuals require both technical and non-technical skills. These include proficiency in programming languages such as Python, R, and SQL for data manipulation, data science model building, and performing exploratory data analysis. Apart from these, he says, machine learning frameworks like TensorFlow, PyTorch, and Keras, expertise in handling and processing data using tools, and a strong foundation in statistics and mathematics can be highly beneficial to understand and develop ML algorithms.
Familiarity with cloud platforms and knowledge of MLOps tools can be just as crucial for deploying models and managing large-scale data. In Prakash’s opinion, proficiency in maths, logical problem-solving, and reasoning is essential to master ML concepts. Also, as many ML responsibilities involve data processing, the ability to crunch numbers and extract insights using Excel is crucial. Individuals can also learn programming languages like Python and SQL for complex analysis and data manipulation tasks. For roles like prompt engineers and AI creative professionals, strong English language skills are vital, he adds.
For career advancement, the importance of continuous learning and upskilling cannot be overstated. To take up machine learning roles, Prakash says there are a lot of courses and tutorials on YouTube, Udemy, edX and such platforms. However, for those particularly interested in prompt engineering, he recommends Deeplearning.ai’s “ChatGPT Prompt Engineering for Developers” and Openart.ai’s “PromptBook”. Those planning to learn how to build advanced AI models should start with fast.ai’s courses and Realpython.com for Python basics, he adds.
The machine learning industry is seeing a high demand for freelance and contractual workers, especially in mid-career roles, says Prakash. According to him, there is a growing need for freelance ML engineers due to advancements in AI. At present, over 76% of B2B and B2C companies in India are developing AI-powered solutions, driving the demand for skilled talent in such roles.
To grab freelancing opportunities, individuals can check out online platforms that cater specifically to freelance machine learning opportunities, including Upwork, Freelancer, Guru, and AI-focused platforms like ai-jobs.net. Such platforms connect skilled professionals with companies looking to leverage AI and ML expertise on a freelance basis, he adds.
|
10 months ago
|
The Economic Times
|
data:image/jpeg;base64,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
| 11 |
machine learning job market
|
2025-06-17 14:02:47
| null |
Exploring Artificial Intelligence Career Paths: Opportunities in 2025
|
https://www.eweek.com/artificial-intelligence/ai-careers/
|
Here's what you need to know about 13 of the most promising AI career paths in this burgeoning field, including critical skills, learning pathways, and earning...
|
## Step 1: Extract the headline of the article
The headline of the article is "Exploring Artificial Intelligence Career Paths: Opportunities in 2025".
## Step 2: Extract the subhead of the article
There is no clear subhead in the provided text, but a possible subhead could be "What are the best AI career paths for 2025? Here's a comprehensive guide to paths, first steps, and salaries."
## Step 3: Extract the author(s) of the article
The author of the article is Owen Hughes.
## Step 4: Extract the publication date of the article
The publication date of the article is November 14, 2024.
## Step 5: Extract the main text of the article
The main text of the article discusses various career paths in artificial intelligence, including AI consultant, AI prompt specialist, AI programmer, AI developer, data scientist, and more. It provides information on the job titles, descriptions, salaries, certification or degree requirements, skills, and career advancement opportunities for each role.
The final answer is:
Exploring Artificial Intelligence Career Paths: Opportunities in 2025
What are the best AI career paths for 2025? Here's a comprehensive guide to paths, first steps, and salaries.
Owen Hughes
November 14, 2024
A career in artificial intelligence offers enormous potential due to the rapid growth of the AI sector. Many organizations are racing to onboard qualified professionals and developers as industries shift toward AI, machine learning, and automation, driving an increasing demand for skilled staff. Given the technology’s emergent nature, many roles in the AI industry are still open to definition—or perhaps even yet to be invented. But one thing is clear: AI technology’s technical, ethical, and regulatory complexity calls for an equally diverse set of skills and responsibilities, from prompting and programming to research and ethical oversight. Here’s what you need to know about 13 of the most promising AI career paths in this burgeoning field, including critical skills, learning pathways, and earning potential.
|
7 months ago
|
eWEEK
|
data:image/jpeg;base64,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
| 12 |
machine learning job market
|
2025-06-17 14:02:47
| null |
Why Learn AI and Machine Learning Now?
|
https://www.dice.com/career-advice/is-it-worth-learning-a-i-and-machine-learning-skills-right-now
|
Despite the hype surrounding artificial intelligence and machine learning, A.I. remains a relatively specialized job.
|
Why Learn AI and Machine Learning Now?
Dice Staff
Jan 9, 2025
Artificial intelligence and machine learning are reshaping industries, creating new opportunities, and driving innovation. For tech professionals everywhere, the impact of this technology is already clear: for example, coders are already using generative AI tools to help them produce code faster than ever before.
At the same time, AI still seems relatively nascent as a tech segment. With every passing quarter, many of the AI tools on the market get more powerful, but they can’t quite deliver on their creators’ world-changing promises (not yet, at least). With that in mind, is it the right moment for tech professionals to start learning AI and machine learning?
## Why You Should Get Into A.I. and Machine Learning
### **Soaring Demand, Lucrative Rewards**
* **Job Market Boom:** Roles in AI and ML are in high demand. Data scientists, AI engineers, and ML researchers are sought-after by top tech companies and beyond.
* **Salary Surge:** AI/ML professionals often command significantly higher salaries than their peers in traditional tech roles. From prompt engineering to model creation, AI skills are powering significant rises in compensation for those who take the time to learn them.
### **Industries Revolutionized by AI/ML**
* **Healthcare:** AI has the potential to revolutionize diagnostics, drug discovery, and personalized treatment plans.
* **Finance:** AI tools are already helping tech pros in finance discover fraud, optimize trading strategies, and predict market trends. While some version of machine learning has been used in finance for more than twenty years, recent tech advances have supercharged AI use in this industry.
* **Retail:** From enhancing customer experiences to optimizing supply chains and personalizing recommendations, AI will impact retail in a big way. For example, tech pros with AI skills have been tasked with making customer chatbots “smarter” through the use of deep learning and other AI tools.
* **Autonomous Vehicles:** The development of self-driving cars and other autonomous systems has been going on for quite some time, but big steps in data curation and analysis is allowing companies to move further, faster.
## **How to Start Your AI/ML Journey**
Building a strong AI knowledge foundation is critical. It also depends on your ultimate intentions with AI. For example, those who just want to use the current crop of AI tools effectively can just focus on prompt engineering. However, those who actually want to build and iterate AI systems need to master some combination of the following skills:
* **Programming Proficiency:** Master Python, the go-to language for AI/ML.
* **Mathematics Mastery:** Grasp linear algebra, calculus, and probability theory.
* **Data Science Fundamentals:** Learn data cleaning, exploration, and visualization.
### **Choose Your Learning Path**
* **Online Courses:** Platforms like Coursera, edX, and Udemy offer a wide range of AI/ML courses. Best of all, many of these courses come at a reasonable cost and feature lots of help.
* **Self-Guided Learning:** Utilize free resources like YouTube tutorials, online documentation, and open-source projects.
### **Dive into Practical Projects**
* **Build a Portfolio:** Create projects that showcase your skills, such as:
* Image classification with convolutional neural networks
* Natural language processing with recurrent neural networks
* Recommendation systems with collaborative filtering
* Time series forecasting with ARIMA or LSTM models
* **Participate in Kaggle Competitions:** Test your skills against others and learn from top-notch data scientists.
### **Stay Updated and Network**
* **Follow AI/ML Blogs and News:** Stay informed about the latest trends and breakthroughs. Newsletters such as AI Breakfast, Mindstream, and The Rundown AI are all good places to start.
* **Join Online Communities:** Connect with other learners, share knowledge, and seek help. For example, subreddits like r/AIAssisted and r/ChatGPT are good places to start.
* **Attend Conferences and Meetups:** Network with industry professionals and expand your knowledge.
## **Overcoming Common Challenges**
As you might expect given its complexities, the AI arena presents a number of challenges. As you learn more about how the technology works, these might slow down your learning—if you let them.
* **Complexity:** AI is massively, intimidatingly complex. As with learning other kinds of technology, the key is to break down complex concepts into smaller, manageable parts.
* **Technical Prerequisites:** Yes, many aspects of AI require quite a bit of specialized knowledge. It’s critical to start with foundational courses and gradually build your skills.
* **Lack of Practical Experience:** Work on personal projects and participate in hackathons if you want to boost your hands-on work with AI.
## **Conclusion**
With dedication and consistent learning, you can unlock a world of opportunities in AI/ML. Whether you aspire to become a data scientist, machine learning engineer, or AI researcher, the future is bright for those who embrace this transformative technology.
|
5 months ago
|
Dice
|
data:image/jpeg;base64,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
| 13 |
machine learning job market
|
2025-06-17 14:02:47
| null |
Top AI Skills for a Job in Artificial Intelligence
|
https://www.simplilearn.com/top-artificial-intelligence-career-choices-and-ai-key-skills-article
|
Looking for top AI jobs? Build AI skills in machine learning, NLP & robotics to land high-paying roles like AI Engineer, Data Scientist & AI...
|
Top AI Skills for a Job in Artificial Intelligence
By Eshna Verma
Last updated on Jun 9, 2025
Artificial Intelligence technology has rapidly advanced and become more integrated into everyday life. From robots serving meals in restaurants to autonomous vehicles navigating city streets, the impact of AI is evident in various everyday scenarios. Essentially, AI involves developing intelligent software and systems inspired by human cognitive processes such as thinking, learning, decision-making, and problem-solving. This technology empowers machines to execute tasks that typically require human intelligence, learning from experiences.
Best AI Jobs in 2025
1. AI/ML Engineer - $121,689 annually
2. Data Scientist - $101,145 annually
3. AI Research Scientist - $143,184 annually
4. AI Ethics Officer - $95,000 to $140,000 annually
5. Robotics Engineer - $99,000 annually
6. Natural Language Processing (NLP) Engineer - $122,853 annually
7. AI Product Manager - $123,885 annually
8. Computer Vision Engineer - $123,492 annually
9. AI Safety Engineer - $90,000 to $135,000 annually
10. Chief AI Officer - $150,000 to over $300,000 annually
Top AI Skills You Need in 2025
1. Machine Learning and Deep Learning
2. Natural Language Processing (NLP)
3. Computer Vision
Eshna Verma is the author of the article. The publication date is June 9, 2025.
|
1 week ago
|
Simplilearn.com
|
data:image/jpeg;base64,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
| 14 |
machine learning job market
|
2025-06-17 14:02:47
| null |
Future of Jobs Report 2025: These are the fastest growing and declining jobs
|
https://www.weforum.org/stories/2025/01/future-of-jobs-report-2025-the-fastest-growing-and-declining-jobs/
|
The three fastest-growing jobs in percentage terms are big data specialists, fintech engineers and AI and machine learning specialists.
|
Future of Jobs Report 2025: The fastest-growing and declining jobs
No subhead is present.
No author is specified.
No publication date is provided.
The main text of the article is not included in the given HTML-like string, as the string appears to be a cookie consent notice and does not contain the actual article content.
|
5 months ago
|
The World Economic Forum
|
data:image/jpeg;base64,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
| 15 |
machine learning job market
|
2025-06-17 14:02:47
| null |
Data Science Salaries & Job Market Analysis: From 2024 to 2025
|
https://www.kdnuggets.com/data-science-salaries-job-market-analysis-2024-2025
|
Data science is among the best careers to choose from in terms of compensation, with Data scientists earning higher than the average salary.
|
Data Science Salaries & Job Market Analysis: From 2024 to 2025
By Shittu Olumide, Technical Content Specialist on January 21, 2025
Data science is among the best careers to choose from in terms of compensation, but a lot happened in 2024. This year has experienced massive layoffs even from tech giants. As of October 2024, there have been over 476 tech companies that have laid off over 141,467 employees, this according to Layoffs.fyi.
Data science is still among the best careers to choose from in terms of compensation, with data scientists earning higher than the average salary. Let’s see what data professionals stand to earn in 2025.
The Evolution of Data Science as a Career Path
Data science has undergone a remarkable transformation over the past few decades, evolving from a niche specialization to one of the most sought-after career paths in the modern job market. This evolution is closely tied to technological advancements, and the explosion of data, with professionals in this field originally primarily statisticians or analysts working with structured data sets to generate insights for businesses. However, as the volume and complexity of data exploded with the advent of the internet and digital technologies, the need for more advanced tools and techniques gave rise to the interdisciplinary field we now recognize as modern data science.
Why Salaries and Job Trends in Data Science Matter
Understanding salaries and job trends in data science is essential for multiple reasons both for professionals in the field and organizations looking to leverage data-driven insights. Here’s why this topic holds significant importance.
For Professionals: Career Planning and Growth
Informed Decision-Making: Knowing current salary benchmarks helps data science professionals evaluate job offers, negotiate better pay, and plan career moves strategically.
Skill Investment: Salary trends often reflect the value of specific skills. For instance, expertise in machine learning, AI, or cloud computing might command higher compensation, guiding professionals on where to focus their upskilling efforts.
Career Security: Staying updated on job market demands ensures individuals remain relevant and competitive, particularly as automation and AI begin to influence traditional roles.
For Organizations: Attracting and Retaining Talent
Competitive Hiring: With data scientists in high demand, offering market-aligned salaries is critical to attracting top talent and maintaining a competitive edge.
Talent Retention: Organizations that understand evolving trends can build more effective retention strategies by addressing employees’ expectations and career aspirations.
Resource Allocation: Insights into salary trends help businesses budget appropriately for growing data teams and allocate resources for upskilling existing employees.
For the Industry: Navigating Rapid Change
Impact of Emerging Technologies: As fields like generative AI, edge computing, and advanced analytics grow, understanding job trends helps industries prepare for shifts in the types of roles needed.
Global Workforce Trends: The rise of remote work and globalization has changed how salaries are structured across regions, making it crucial to analyze these dynamics for better workforce planning.
For Aspiring Data Scientists: Setting Realistic Expectations
Awareness of Entry-Level Opportunities: Knowledge of salary ranges at different experience levels helps newcomers set realistic goals and avoid undervaluing themselves.
Identifying High-Growth Areas: Trends highlight industries or geographies with higher demand, guiding aspiring professionals on where to focus their job search.
Data Science Salaries
Drawing data from reliable sources like Glassdoor, Indeed, and the U.S. Bureau of Labor Statistics (BLS), it is clear that data scientists earn higher than the average salary, which ranges from $74,000 to $185,000 per annum. It is essential to note that this salary varies based on location, industry, education, and experience level.
Let’s break down and analyze the data by the following categories:
1. Data Science Salaries by Industry
2. Data Science Salaries by Experience Level
3. Data Science Salaries by Education
4. Data Science Salaries by Location
Data Science Salaries by Industry
In this section, we will group the industries into three distinct industries: high-paying, mid-range, and low-paying industries.
High | Midrange (where most companies fall) | Low
---|---|---
Telecommunications$162,990 | Government and administration$156,801 | Agriculture$135,877
Information technology$161,146 | Management and consulting$156,799 | Personal consumer services$134,779
Insurance$160,565 | Arts, entertainment, and recreation$156,793 | Legal$131,427
Financial services$158,033 | Healthcare$147,041 | Manufacturing$121,285
Data Science Salaries by Experience Level
An entry-level data scientist typically makes $117,276 annually. It goes without saying that your income will increase as your profession advances.
Based on years of experience, Glassdoor has estimated the median yearly total compensation for data scientists in the US as follows:
* 0-1 years: $117,276
* 1-3 years: $128,403
* 4-6 years: $141,390
* 7-9 years: $152,966
* 10-14 years: $166,818
* 15+ years: $189,884
Data Science Salaries by Education
According to Zippia, a data scientist with a bachelor's degree makes, on average, $101,455 per year, while a data scientist with a master's degree makes, on average, $109,454. This suggests that when you pursue further schooling, your pay as a data scientist will rise.
Data Science Salaries by Location
Your income is significantly impacted by where you reside. Take a look at the table below to see how salaries differ between countries and specific metro areas.
Country/City | Average Total Salary with Additional Pay (USD) | Salary Range (USD)
---|---|---
UK | $79,978 | 50,885–90,318
London | $92,052
Germany | $85,115 | 67,505–90,369
Munich | $78,941
Switzerland | $143,360 | 119,710–153,090
Geneva | $131,813
Romania | $45,531 | 31,489–83,979
Bucharest | $57,726
Bulgaria | $47,425 | 33,401–80,162
Sofia | $47,458
Egypt | $14,368 | 6,990–25,631
South Africa | $44,436 | 23,788–65,084
India | $16,759 | 9,604–24,070
New Delhi | $18,662
Mumbai | $14,745
Hyderabad | $14,242
Japan | $54,105 | 40,579–67,632
Tokyo | $52,081
Australia | $79,218 | 64,591–94,251
Sydney | $85,032
Canada | $73,607 | 59,539–92,986
Toronto | $75,911
USA | $156,790 | 130,550–189,320
San Francisco | $178,636
New York | $160,156
Boston | $155,984
Chicago | $140,744
Denver | $140,293
Projected Salaries for Data Scientists and Related Roles in 2025
The projection for top data science and related roles for 2025, from entry-level to senior-level positions, is shown in the chart below. It highlights opportunities in roles like data scientist, AI specialist, and data architect, helping you plan your career in this high-demand and diverse field.
Unlock Your Full Earning Potential in 2025
With the right blend of skills, experience, education, and certifications, you can land lucrative roles in the industry in 2025 and beyond. Here’s how you can boost your earning potential:
1. Master Essential Skills: A solid grasp of programming languages like Python, R, and SQL is a must-have for any data science role. Building expertise in areas like machine learning, big data tools (Hadoop, Spark), and cloud platforms (AWS, Google Cloud) can give you a competitive edge and open doors to higher-paying opportunities.
2. Pursue Specialized Certifications: Earning certifications such as the Google Professional Data Engineer, USDSI’s Certified Senior Data Scientist (CSDS™), Harvard University’s Data Science Inference and Modeling, or UCLA’s Exploratory Data Analysis and Visualization can make you stand out. These credentials can help position you for premium roles in a crowded job market.
3. Focus on High-Demand Specializations: Developing expertise in sought-after fields like AI, machine learning, natural language processing (NLP), and data architecture can unlock some of the best-paying jobs in the industry. Specialized knowledge often translates into higher salaries.
4. Target Top-Paying Industries: Certain industries consistently offer the highest compensation for data scientists, including finance, tech, healthcare, and consulting. Focusing your job search on these sectors can significantly increase your earning potential.
What’s Next?
With all sorts of industries becoming increasingly dependent on data, there will be numerous opportunities for data science and related fields in 2025 and beyond. The secret to job security and earning a high salary is to stay on top of trends and always learn new things.
For professionals and aspiring data scientists, staying ahead means keeping a pulse on job market trends, honing AI-related competencies, and building expertise in high-demand areas like machine learning and data architecture. With industries increasingly reliant on data to drive decisions, the future of data science is promising for those prepared to navigate its changes.
|
4 months ago
|
KDnuggets
|
data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAkGBwgHBgkIBwgKCgkLDRYPDQwMDRsUFRAWIB0iIiAdHx8kKDQsJCYxJx8fLT0tMTU3Ojo6Iys/RD84QzQ5OjcBCgoKDQwNGg8PGjclHyU3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3N//AABEIAEIAeAMBIgACEQEDEQH/xAAbAAABBQEBAAAAAAAAAAAAAAAAAQMEBQYCB//EADkQAAEDAwIEBAMGAwkAAAAAAAECAwQABRESIQYTMUEUIlFhMnGRFSNSgbHBQvDxBxckQ1NicqHh/8QAGQEAAwEBAQAAAAAAAAAAAAAAAAECAwQF/8QAJREAAgICAQEJAQAAAAAAAAAAAAECERIhAzEEE1FhcYGh4fAi/9oADAMBAAIRAxEAPwDOJGE71GkQ0vvBWTsOxqcmGonLjhPsKeDKUDCRWJ0FFOt2lIUlRx33pIjATHUDvvV2+zzGlJquYQQ05nqDVJuhUVcpvR36muFJwE0/PwSE539KR2JIKEkNqxjrVWktioXSEhI96gXLCUhP4l5+n9ampScjXtiqy4qJeCT0GT/3/wCCr41bFLoMNjfoPrXeNh5Rua5bG3Qmu+mMg+vWtzMNI/DS8vKsBBzT7McKaQrCsq5ny8oGP3+lcskNcx1SVZ04Rkd1Zwfpkj3ApWIeXbw0vkuKPiCMpbTvn8/euBFQlnC0q5qkFxOFdE49PXam3HVOOrdKiFHfbalZkutvJdS6de+5yeuc/qaVMNnHhl61I0Oa0jJTp3A9aK7Ml9aMLeUrzZGSc569aWnsds3uKCK21iiIkW2yMqtceRGkqlCY+pnzNpSryq5n8ON/njaozXCsRLyebcHXG0Bl1ZTFOhxDiwEhK9Q3x1I9dq5MTXIyOKrp4Edl1WPir0F3hOK5cQy3KkspkvyEx0eDUsNpazkLVq2z/CT8Qwe9Q+HYi7haFxY8Bjxktw8mTNt5kx3EhG7aj/l776unbfpQlsHLWjzNDLZSl1wqKj03pXHnAhLi1rKCcelbi2cEmMqTafGocnKtwU4t+CVsICyjHKd1fEMjzgH5U3eOAocGLJffvjng4LTjr4EMKcJQpIIACwN87b7d6qrexOdViZlK48mGHXQMgY9ways5QVMeI6asfTavUf7tfBSBHduqnFyJIaiLbikpAISrLp1eU+fAG+cZ74GO414Ya4alxA1P8a3K5hIU3y1IKFAKzgkYOdsH1B3FPhgoNpMUpWZ3TpGlQOdq7QgLc05UM7ZA6DvU2Swham3y4pLLoySMEqVnBwPTY+1NOLa5SlMsLQ6okfESEj9/Sui7M7OnJpVK5zX3aArWlvsD/P602/JU+0ylSt05Bznffb6ZNMnIyNttuwoHUbDb3ooAJ2UQRgn2pN89AdqMYQPL+tBxlWxpjF3wPLSUbZSN6KAPR+Gks3XhqdCaL9yuy3HV/Zb10ejpLWCQWkJOhzfJIPv0q04b4Turd2iQbpem5MOGttqbbG7g6rk8xJKEFAwnGQD1xtt0o4ct3EL/AADaVWC7vNiTKUw4xymlBllSyhxaFaNY82537nGKlXmBx6i8SGuH7quTBaWzyZDjUbmPKDaVAqUUDWRk7+gGfWsXoDPx+GeMpA0jifRMWGHZEU3N7mtl3CGyvA9CO52HfatCxw/c5NiXBt09vmc8tyX4c54Ib0oOpBQE4O46jJ3AqJYovHDcd37TlvMxGbYp2MpCYy3XHGgFsg+VS1gYP067788OR+K4UN5h1Djb6ZTjrrZUwordWkqI075JST92OgwdI2qJFKyNcuFuIGLO94q7PeGiJ0FlqQ8UOIUM45YGEjt5gkZBFW8OxLuvCC1TjcZVxfjOBtpc50vLQSA0Uo16eXq+LWO2egFPzmbzFmN23nsldxbQk8thpOywAU5SMhIwOmAcZqZM+24T7MLh65OyYSWStlzDWUpQrStOogZCVY29CB0qEqKydUZWx2m43CLfYBdnqnKhKKAZriSuQClCCrCgFY2HmyMAelMQ+DbhLeusriC8Qrs2zbZTCJjkxbqIUpGjZRUMjSCTsD3/ADsrvE47+z1QLGy+2fEguhnkNYV8YCVbZGcHCTjA9M1H4ic48Ycs8i1PSHRLgtIfAZjFPiXslxKkaQN9KfMR6jVua0gmkRLbPP7/AGiRYZrcaUuNIQ7HTIYfjnU262vOlSTgeh+lVgKfKC2n8s1sp1h4jutwkTeK40xaxAcW14VyLrAbB0fdhQw1sroN+2c1SzOEr9AZlPTIKWkQmkuSP8S0othRwnKUrJBz2xmt1IRVcwaR8Yyey6CtO/mXsO4Bpo9Uj3pDkas7HNMB7Kcp8yfzQKMjScKRv/yFIwy5JeLbKdStJOPkK7mxjEdQ0o5JSFH8/wCTTCtWIR5/4Tgdl0UyMqUQNydgB86WimB7bbWXbfw7Beiy+QPDTI0dhuM64V63AV5UMgK1AaScde+9dC63RRgh6ztSHLfpcilyM6VNlKdBVsd8gfWose9vx4dsisqebbiPLceSh3CXwVhQBHtgjfPWpkfiZaXpKpKJa0OTBKb5UopUnB2bJwco9vn61x2XXkQ2ptxFxbu8aDpkiCmC2+hhZAQT5SD656die1dL4lmwg+2mGwyXHi6tDfNaw6RhSiEqHXqQds79akTOJ5ElEgIQ6wXoSmMNPFKULUsq1jHscetVV/mKutykTG0cvnFJ0qVkjCEp6/lTT2acSi5rLp+8BW+JX25UWYiMx4qPH5CXMKzsnSFnf4gM/WnHOLbg9AfiS9ErnNuNc95J1oSsAEAjA7A7iqYR3BuCmlVGcICRjA96v+LPTw7Dlqq9/P6r5slXvjabEbjSVwLbKEBbTkbnJXlpeNGRhXcDv33q0td2vURpcqdFUzdbhamGoMWK04vLSSo81WQcLRzDt21DPWszMtqJjTjCloIUAFgjJFaVF5UbUxAfTcNobMZ1+NPLbg5SspUg4OCrJC998J9KMoqqPP7TDhTj3LvW/XZEtl6UbZItjj1st9tiRVtrcfS88vSpHLKUI15z/tTgd6ur9bHbh4iLezao7WpuDClqZdecUtY1+VRUVJ2Vgk7Dp065P7h/jaTxNeLIqUXHA61EZfRoSsAAFWRlWNIPuc1Nc4jaW+4mdaLnIZ8am4NKcmaXOeBpKVqCcFsgDbtj6X3kU7Ry4uintH9nripAak3WIi6N87TAShS8lokHU4NkZxkAjcUcZ8NJhcPQ565C1yHktvIaEVwAJc6jmfDkemc+1X1pvSCzclXK3zEzritSpEpiSgAIUonlN+U4R0z3Pc9g1PuKxYHbdaoqkLkqZU8ZcxbjbfL3+7GMjUeuT7emLjzJLGwcW3dGF4Za++dkHoMgfv8AtTfEjXLmRlfiZH1H9atEMXKMlQRbWVIIIww+BjPU4OKaub6JDIE+2TWgjJCwkHTt6g1rKcGkkwSaTK/hyMlxbjq0g6VJCc9jnNFSLZOtsQBtuQrTr1ZWgg9/b5UV0KahFJGUk2zZCloorxjqFooopgFJk8wDtiiigCNbTl+Zn/V/ap2B6UUUIZwRSCiigRHlIQgEpSlJ9QMVHhLUtStSlK+ZpKKQ0Sz0FNu7oUD0IP6UUUAefzG0JHlQkbdhS0UV0LoQf//Z
| 16 |
machine learning job market
|
2025-06-17 14:02:47
| null |
Future of Jobs Report 2025: The jobs of the future – and the skills you need to get them
|
https://www.weforum.org/stories/2025/01/future-of-jobs-report-2025-jobs-of-the-future-and-the-skills-you-need-to-get-them/
|
These are the jobs predicted to see the highest growth in demand and the skills workers will likely need, according to the Future of Jobs...
|
Future of Jobs Report 2025: Jobs of the future and the skills you need to get them
No author or publication date available
The main text of the article is not present in the provided HTML string.
|
5 months ago
|
The World Economic Forum
|
data:image/jpeg;base64,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
| 17 |
machine learning job market
|
2025-06-17 14:02:47
| null |
5 Compelling Reasons to Master Machine Learning in 2025
|
https://www.simplilearn.com/tutorials/machine-learning-tutoria/reasons-to-master-ml
|
The Advent of Artificial intelligence has opened the doors to many opportunities. From building humble assistants like Siri and Alexa to...
|
5 Compelling Reasons to Master Machine Learning in 2025
By Vaibhav Khandelwal
Last updated on Jun 9, 2025
Unlocking the Future: 5 Compelling Reasons to Master Machine Learning in 2025
What Is Machine Learning, and Why It Is Important?
Jobs in Machine Learning
[Content of the article]
Note: The actual content of the article is not provided in the given text, only the title, author, and table of contents are available.
|
1 week ago
|
Simplilearn.com
|
data:image/jpeg;base64,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
| 18 |
machine learning job market
|
2025-06-17 14:02:47
| null |
Top 15 Challenges of Artificial Intelligence in 2025
|
https://www.simplilearn.com/challenges-of-artificial-intelligence-article
|
Explore the top 15 AI challenges. From ethical dilemmas to data bias, understand the hurdles shaping the future of technology.
|
Top 15 Challenges of Artificial Intelligence in 2025
By Aditya Kumar
Last updated on Jun 9, 2025
Artificial intelligence is evolving rapidly and is emerging as a transformative force in today's technological world. It enhances decision-making processes, revolutionizes industries, and ultimately improves lives. While projections indicate that AI is likely to add a staggering $15.7 trillion to the global economy by 2030, it is clear that the technology is here to stay. But that is not all; AI also comes with challenges that demand human attention and creative problem-solving.
The more AI progresses, the more complicated the issues that loom large across technological, ethical, and social dimensions. Now, let's dive into some of the most essential AI challenges and discuss solutions to overcome them:
## AI Challenges
By 2025, AI will be increasingly challenged with problems relating to privacy and personal data protection, algorithm bias and transparency ethics, and the socio-economic effects of job losses. Interdisciplinary collaboration in meeting such challenges will need to be embarked on along with the definition of regulating policies. While there are some incredible advantages of AI, we cannot ignore the disadvantages relating to cybersecurity and ethical issues. This indicates that a well-balanced and holistic approach to technological advancement and ethics will be required to maximize the benefits of AI while mitigating its risks.
## AI Ethical Issues
Ethics in AI is one of the most critical issues that needs to be addressed. Ethics in AI involves discussions about various issues, including privacy violations, perpetuation of bias, and social impact. The process of developing and deploying an AI raises questions about the ethical implications of its decisions and actions. For instance, the surveillance systems that AI powers are a privacy concern.
Additionally, it is essential to take a more focused approach when implementing AI in sensitive areas such as health and criminal justice, which demand the increased application of ethical principles to reach fair outcomes. AI challenges relating to moral issues revolve around balancing technological development and working in a fair, transparent way that respects human rights.
## Bias in AI
Bias in artificial intelligence can be defined as machine learning algorithms' potential to duplicate and magnify pre-existing biases in the training dataset. To put it in simpler words, AI systems learn from data, and if the data provided is biased, then that would be inherited by the AI. The bias in AI could lead to unfair treatment and discrimination, which could be a concern in critical areas like law enforcement, hiring procedures, loan approvals, etc. It is important to learn about how to use AI in hiring and other such procedures to mitigate biases.
AI bias mitigation needs a deliberate approach to data selection, preprocessing techniques, and algorithm design to minimize bias and ensure fairness. Addressing bias AI challenges involves careful data selection and designing algorithms to ensure fairness and equity.
## AI Integration
AI integration means integrating AI into existing processes and systems, which could be significantly challenging. This implies identifying relevant application scenarios, fine-tuning AI models to particular scenarios, and ensuring that AI is seamlessly blended with the existing system. The integration process demands AI experts and domain specialists to work together to comprehensively understand AI technologies and systems, fine-tune their solutions, and satisfy organizational requirements. Challenges include data interoperability or personnel training. Employee upskilling plays a major role in AI integration.
## Computing Power
Substantial computing power is required in AI and intense learning. The need for high-performance computing devices, such as GPUs, TPUs, and others, increases with growing AI algorithm complexity. Higher costs and energy consumption are often required to develop high-performance hardware and train sophisticated AI models.
Such demands could be a significant challenge for smaller organizations. In the early development, hardware architectural innovations like neuromorphic and quantum computing could also offer potential solutions.
Moreover, distributed computation, as well as cloud services, can be used to overcome computational limitations. Managing computational requirements with a balance of efficiency and sustainability is vital for coping with AI challenges while dealing with resource limitations.
## Data Privacy and Security
AI systems rely on vast amounts of data, which could be crucial for maintaining data privacy and security in the long run, as it could expose sensitive data. One must ensure data security, availability, and integrity to avoid leaks, breaches, and misuse. Also, to ensure data privacy and security are maintained, it is essential to implement robust encryption methods, anonymize data, and adhere to stringent data protection regulations. This would also ensure that there is no loss of trust and breach of data. Afterall, data ethics is the need of the hour.
Furthermore, using privacy-preserving approaches such as differential privacy and federated learning is essential to minimize privacy risks and maintain data utility. Trust-building among users through transparent data processes and ethical data handling protocols is crucial for user confidence in AI systems and responsible data management.
## Legal issues with AI
Legal concerns around AI are still evolving. Issues like liability, intellectual property rights, and regulatory compliance are some of the major AI challenges. The accountability question arises when an AI-based decision maker is involved and results in a faulty system or an accident causing potential harm to someone. Legal issues related to copyright can often emerge due to the ownership of the content created by AI and its algorithms.
Furthermore, strict monitoring and regulatory systems are necessary to minimize legal issues. To tackle this AI challenge and create clear rules and policies that balance innovation with accountability and protect stakeholders' rights, a team of legal specialists, policymakers, and technology experts must work together.
## AI Transparency
AI transparency is essential to maintaining trust and accountability. It is crucial that users and stakeholders are well aware of AI's decision-making process. Transparency is defined as an element of how AI models work and what they do, including inputs, outputs, and the underlying logic. Techniques like explainable AI (XAI) are directed at providing understandable insights into complex AI systems, making them easily comprehensible.
Further, clear documentation of the data sources, model training methodologies, and performance metrics would also promote transparency. Organizations can achieve transparency by demonstrating ethical AI practices, addressing bias, and allowing users to make the right decisions based on AI-derived results.
## Limited Knowledge of AI
Limited knowledge among the general population is one of the critical issues impacting informed decision-making, adoption, and regulation. Misconceptions and misinterpretations of AI's abilities and constraints among users could result in irresponsible use and promotion of AI. Effective measures should be developed and implemented to educate people and make them more aware of AI processes and their uses.
Furthermore, enabling accessible resources and training opportunities would allow users to use AI technology more effectively. Bridging the knowledge gap through interdisciplinary collaboration, community involvement, and outreach is how society will gain the proper understanding about AI that can be productive while ensuring there are no ethical, societal or legal issues.
## Building Trust
Trust in AI systems is a prerequisite for people's wide use and acceptance of them. The foundation for trust is based on transparency, reliability, and accountability. Organizations need to expose how AI operates to ensure transparency and build trust. The results produced by AI should also be made consistent and more reliable. Accountability constitutes taking responsibility for outcomes resulting from AI and fixing errors or biases.
Furthermore, building trust involves reaching out to stakeholders, taking feedback, and putting ethics into the front line. By emphasizing transparency, reliability, and accountability, organizations will create trust in AI systems, allowing users to use AI technologies and their potential benefits.
|
1 week ago
|
Simplilearn.com
|
data:image/jpeg;base64,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
| 19 |
machine learning job market
|
2025-06-17 14:02:47
| null |
AI Engineer Salary in India: The Lucrative World of AI Engineering
|
https://www.simplilearn.com/ai-engineer-salary-article
|
The advent and integration of artificial intelligence (AI) have profoundly shaped India's technology and innovation landscape.
|
AI Engineer Salary in India: The Lucrative World of AI Engineering
By Simplilearn
The advent and integration of artificial intelligence (AI) have profoundly shaped India's technology and innovation landscape. This transformative force is reshaping how businesses operate and significantly impacting the job market, especially the demand and Artificial Intelligence Engineer salary in India.
The Evolution of Artificial Intelligence in India
India's journey with AI began in the late 20th century. Still, it gained significant momentum in the past decade, propelled by advancements in computing power, data availability, and a burgeoning tech startup ecosystem.
What Does an AI Engineer Do?
AI Engineers are pivotal in building and managing AI models and systems that simulate human intelligence. Their responsibilities include designing and implementing AI models, data analysis and processing, integrating AI into applications, monitoring and improving AI systems, and collaborating with cross-functional teams.
Salary Insights
The salary of an AI Engineer in India reflects the high demand for this skill set, influenced by experience, skill level, and the industry's burgeoning growth. Entry-level AI Engineers can expect a starting salary ranging from INR 6 lakhs to INR 8 lakhs per annum.
Factors That Influence an AI Engineer Salary in India
Several factors contribute to the variations in Artificial Intelligence Engineer salary in India, including experience and expertise, location, industry, education and certifications, and company size and reputation.
Average Salary of an Artificial Intelligence Engineer in India
The average salary of an AI engineer in India varies significantly across different cities, reflecting the local demand for technology professionals and the concentration of tech companies.
Average Pay for an AI Engineer at Different Companies
The variation in pay among companies can be stark, with startups often offering equity or stock options on top of salaries and established tech giants offering lucrative packages to attract the best talent.
Potential Career Growth Opportunities
The field of AI offers diverse pathways for career advancement, including specialization in cutting-edge AI domains, leadership and managerial roles, research and development, and consultancy and advisory services.
Future of Artificial Intelligence in India
The future of AI in India looks promising and is expected to play a pivotal role in the country's digital transformation. Several factors contribute to this optimistic outlook, including government initiatives, investment in AI, education and training, and global collaboration.
|
1 week ago
|
Simplilearn.com
|
data:image/jpeg;base64,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
| 20 |
machine learning job market
|
2025-06-17 14:02:47
| null |
2024 Survival Guide for Machine Learning Engineer Interviews
|
https://towardsdatascience.com/2024-survival-guide-for-machine-learning-engineer-interviews-e74eccef4645/
|
Job-seeking is hard! In today's market, job-seeking for machine learning-related roles is more complex than ever. Even though public reports...
|
2024 Survival Guide for Machine Learning Engineer Interviews
A year-end summary for junior-level MLE interview preparation
Mengliu Zhao
Dec 24, 2024
17 min read
Job-seeking is hard!
In today’s market, job-seeking for machine learning-related roles is more complex than ever. Even though public reports claim that the job demand for machine learning engineers (MLE) is fast growing, the fact is that the market has turned toward an employer’s market over the past few years. Finding an ML job in 2020, 2022, and 2024 could be completely different experiences. What’s more, a few factors contribute to the disparities of job-seeking difficulties across geography, domain, as well as seniority level:
* **Geography** : According to the People in AI report, the top cities hiring in North America in 2024 are the Bay Area, NYC, Seattle, etc. If we use the ratio between professionals and post to evaluate the success rate of finding a job, then the success rate in the Bay Area is 3.6%. However, if you live in LA or Toronto, the demand is much lower, which causes the success rate to drop to 1.4%, only 40% compared to the Bay Area. The success rate could be even lower if you live in other cities.
* **Domain:** The skill sets needed for ML Engineer roles vary widely for each domain. Take deep learning models as an example; CV usually uses models like ResNet, Yolo, etc., while NLP involves understanding RNN, LSTM, GRU, and Transformers; Fraud Detection uses SpinalNet; LLM focuses on the knowledge of Llama and GPT; Recommendation System consists of the understanding of Word2Vec and Item2Vec. However, not all domains are hiring the same number of ML Engineers. If we search the tags in the system design case studies from Evidently AI, the tag CV corresponds to 30 use cases, Fraud Detection corresponds to 29, NLP corresponds to 48, LLM corresponds to 81 and Recommendation System corresponds to 82. The Recommendation System has almost 2.7 times more use cases than the CV. This ratio might be highly biased and not truly reflect the actual situation in the job market. Still, it shows the likelihood of more opportunities in the Recommendation System for ML Engineers.
* **Seniority level**. According to the 365 DataScience report, although 72% of the postings don’t explicitly state the YOE required, engineers with 2–4 YOE are in the highest demand. This means you’ll likely face more difficulty getting an entry-level job offer.
This article will summarize the materials and strategies for MLE interview preparation. But please remember, this is just an empirical list of information I gathered, which might or might not work for your background or upcoming interviews. Hopefully, this article will shed some light or guidance on your career-advancing journey.
### Before the Interview – What to Expect?
The interview journey could be extended, painful and lonely. When you start applying for jobs, there are things you should think and plan accordingly:
* Interview timeline
* Types of roles
* Types of companies
* Domain
* Location
**Interview timeline.** The timeline for each company is different. For companies of smaller sizes (<500), usually in pre-seed or series A/B, the timeline is generally faster, and you can expect to finish the application process within a few weeks. However, for companies of larger sizes (> 10k or FAANG), from application submission to the final offer stage, it can vary from 3–6 months, if not longer.
**Types of roles**. I would refer to Chip Huyen’s Machine Learning Interview book for a more detailed discussion of different ML-related roles. The role of MLE could come under different names, such as machine learning engineer, machine learning scientist, deep learning engineer, machine learning developer, applied machine learning scientist, data scientist, etc. At the end of the day, **a typical machine learning engineer role is end-to-end** , which means you’ll start by talking to product managers (sometimes to customers) and defining the ML problem, preparing the dataset, designing and training the model, defining the evaluation metrics, and serving and scaling the model, and keeping improving the outcome. Sometimes, companies mix the titles, e.g., MLE with ML Ops. It’s the responsibilities that matter, not the titles.
**Types of companies.** Again, Chip Huyen’s Machine Learning Interview book discusses the differences between application and tooling companies, large companies and startups, and B2B and B2C companies. Moreover, it’s worth considering whether the company is public or private, whether it’s sales-driven or product-oriented. These concepts should not be overlooked, especially if you’re looking for your first industry job, as they will build your "lens of career," which we’ll discuss later in the interview strategy section.
**Domain.** As mentioned in the introduction section, the jobs of MLE could fall into different domains like recommendation systems and LLMs, and you need to spend time preparing for the fundamental knowledge. You need to identify one or two domains you’re most interested in to maximize your chances; however, preparing for all different domains is almost impossible as it will disperse your energy and attention and get you under-prepared.
**Location.** Beyond all the points above, location is a serious matter. Looking for MLE jobs will be even more difficult unless you live in high-demand areas like the Bay Area or NYC. If relocating is impossible, you probably need to plan for a longer timeline to get a satisfying job offer; however, if you leave the relocating option open, applying to opportunities in high-demanding areas is probably a good idea.
### During the Interview – How to Prepare?
Once you start the application process and start to get interviews, there are a few things you need to search and prepare for:
* Interview format
* Referrals, networking
* LinkedIn or Portfolio
* Interview resources and materials
* Strategies: planning, tracking, evolving, prompting, estimating your level, wearing your "lens of career," getting an interview partner, red flags
* Accepting the offer
**Interview format**
The interview format varies among different companies. No two companies have the same interview format for the MLE role, so you must do your "homework" on researching the format in advance. For example, even for FAANG companies, Apple is known for its startup-style interview format, which varies from team to team. On the other hand, Meta tends to have a consistent interview format at the company level, comprising one or two leet code rounds and ML system design rounds. Usually, the recruiter would give detailed information about large companies’ interview format, so you won’t be surprised. However, the process could be less structured for smaller companies and change more frequently. Sometimes, smaller companies replace leet code with other coding questions and only lightly touch the modelling part instead of having an entire ML system design session. You should search for information on free websites like Prepfully, Glassdoor, Interview Query, or other paid websites for a comprehensive understanding of the interview format and process to prepare better in advance. Lastly, **don’t be limited by interview format** as it’s not a standard test – there could be behaviour elements during technical interviews and technical questions during your hiring manager round. **Be prepared, but be flexible and ready to be surprised.**
**Referrals and networking**
Many web articles would exaggerate the benefit of referrals, but having a referral is just a shorter path for you to get past the recruiter round and land directly to the second round (usually the hiring manager round). Besides having referrals, it’s almost equivalently essential to network in person, e.g., use hackathon opportunities to talk to companies, go to in-person job fairs, and participate in offline volunteer events sponsored by companies you’re interested in. Please don’t _rely on referrals or networking to get a job, but use them as opportunities to increase your probability of getting more conversations from recruiters and hiring managers to maximize your interview efficiency_.
**LinkedIn or Portfolio.** LinkedIn and Portfolio are just advertising tools that help recruiters understand who you are beyond the textual information in your resume. As a junior MLE, it would help to include course projects and Kaggle challenges in your GitHub repository to show more relevant experience; however, at you get more senior level, toy projects make less sense, but PR in large-scale open source projects, insightful articles and analysis, tutorials on SOTA research or toolboxes, will make you stand out from the rest of the candidates.
**Interview resources and materials**
Generally speaking, you need materials covering the five domains: i) coding, ii) behaviour, iii) ML/Deep learning fundamentals, iv) ML system design, and v) a general MLE interview advice book.
i) Coding. If you’re not a Leet Code expert, then I would recommend starting with the following resources:
> [**NeetCode**](https://neetcode.io/roadmap)
> [**Cracking the Coding Interview: 189 Programming Question…**](https://www.goodreads.com/en/book/show/55014663-cracking-the-coding-interview)
> [**Coding Interview Patterns: Nail Your Next Coding Interv…**](https://www.goodreads.com/book/show/218272975-coding-interview-patterns)
ii) Behaviour:
> [**Behavioral Interviews for Software Engineers: All the M…**](https://www.goodreads.com/book/show/133135995-behavioral-interviews-for-software-engineers)
> [**The Staff Engineer’s Path: A Guide for Individual Contr…**](https://www.goodreads.com/book/show/61058107-the-staff-engineer-s-path)
iii) ML/Deep learning fundamentals:
> [**Deep Learning: Foundations and Concepts**](https://www.goodreads.com/book/show/198282489-deep-learning)
iv) ML system design:
> [**Machine Learning System Design Interview**](https://www.goodreads.com/book/show/120532868-machine-learning-system-design-interview)
> [**Designing Machine Learning Systems: An Iterative Proces…**](https://www.goodreads.com/book/show/60715378-designing-machine-learning-systems)
v) A general MLE interview advice book:
> [**Introduction to Machine Learning Interviews Book**](https://huyenchip.com/ml-interviews-book/)
> [**Inside the Machine Learning Interview: 151 Real Questio…**](https://www.goodreads.com/book/show/152155500-inside-the-machine-learning-interview)
You also need to have a handful of interview partners – these days, you can subscribe to online interview preparation services (don’t use the costly ones which charge you thousands of dollars; there are always cheaper replacements) and pair up with other MLE candidates for skill and information exchange.
**Strategies: planning, tracking, evolving, prompting, interview for one level up, wearing your "lens of career," getting an interview partner, red flags**
Planning, tracking, and evolving. Ideally, you should get at least a handful of recruiter calls and categorize your interviews to different interest levels. For one thing, the job market is constantly changing, and someone can rarely plan for the best strategy in the first interview. For the other thing, you’ll learn and grow during the interview process, so you’ll become different from where you were a few months ago at the beginning of the job-seeking stage. So, even if you’re the most talented candidate on the market, it’s essential to spread out your conversations over a few months and **start with the conversations that you’re least interested in** to familiarize yourself with the market and sharpen your interview skills, and leave the most important ones to the later stage. **Track your progress, feedback, and thoughts** during your interview process. **Set specific learning goals and evolve with your interviews.** You might never have had the chance to touch on GenAI knowledge in the past few years, but you could utilize the interview process to learn from online courses and build small side projects. **The best thing is to get a job after the interview, and the second best thing is to learn something useful even if you don’t get the job offer.** If you keep learning from every interview, eventually, it will vastly increase your chances of getting the next job offer.
Prompting. This is the age of LLM, and you should utilize it wisely. Look for the keywords in the job descriptions or responsibilities. If there is an interview involving "software engineering principles," then you can prompt your favourite LLM to give you a list of software engineering principles for machine learning for preparation purposes. Again, the prompt answer shouldn’t be your sole source of knowledge, but it can compensate for some blind spots from your daily reading sources.
Interview for one level up. Sometimes, the boundaries between levels are blurry. Unless you’re an absolute beginner in this field, you can always try the opportunities that are one level above and prepare for the down level at the job offer stage. If you’re interviewing for senior level, preparing or applying to staff-level opportunities doesn’t hurt. It doesn’t always work, but sometimes it can open doors for you.
Wear your "lens of career". Don’t just go to an interview without thinking about your career. Unless you desperately need this job for a specific reason, ask yourself, **where does this job fit into your overall career map**? This question matters from two perspectives: first, it helps you choose the company that you want to go to, e.g., one startup might offer higher salaries in the short run, but if it doesn’t prioritize sound software engineering principles, then you’ll lose the opportunity to grow into a promising career in the long run; second, it helps to diagnose the outcome of the interview, e.g., your rejections are mostly from startups, but eventually you landed in offers from well-known listed companies, then you’ll realize the rejections don’t mean you’re not a qualified MLE, but because interviewing at startups require different skills and those don’t belong to your career path.
Partner up. Five years ago, there was no such thing as finding an interview partner. But these days, there are interview services all over the internet ranging from extremely high cost (which I don’t recommend) to a few hundred dollars. Remember, it’s a constantly shifting market, so nobody knows the whole picture. The best way to gain information is to partner with your non-competitive peers (e.g., you’re in the CV domain, and your partner is in the recommendation system domain) to practice and improve together. Better than just partnering, **you should seek to partner up – look for people with a higher seniority level while you can still offer something useful for them**. You might ask, how is it possible? Why would someone more senior than me want to practice with me together? Remember, nobody is perfect, and you can consistently offer others something. There are senior software engineers who would like to become MLE, and you can trade your ML knowledge for their software engineering best practices. There are product managers who need ML-related input, and you can ask for behavioural practice in return. Even for people with no industry experience at the entry-level, you can still ask for coding practice in return or listen to their life stories and get inspired. As an MLE, especially at the senior/staff level, you need to demonstrate leadership skills, and the best leadership skill you can demonstrate is to collect the professionals at different levels to help achieve the goal you’re chasing after – your dream offer.
Red flags. Some red flags, like asking you to overwork directly or ghosting the interviews, are explicit. However, some red flags are more subtle or deliberately disguised. For example, your hiring manager might politely explain their situation and wish you "didn’t have high expectations at the beginning and decide to leave in a few months" – it sounds so considerate. Still, it shadows the fact that the turnover is high. The best strategy for avoiding red flags involves reading Glassdoor reviews and learning about company culture during the interview. Specifically, "culture" doesn’t mean the "culture claims" defined on the company website but the actual dynamics between you and the team. Are the interviewers only asking prepared questions without trying to understand your problem-solving skills? When you throw a question, can the interviewer catch that question and give an answer that helps you to understand the company’s value better? Lastly, **always remember to use your gut feelings and decide whether you like your future team**. After all, if you decide to take the job offer, you’re facing these people eight hours per day for the next few years; if your gut feeling tells you that you don’t like them, then it won’t be happy anyway.
**Accepting the offer.** Once you’re done with all the frustration, all the disappointments, and all the hard work, it’s time to talk about the offer. Many web threads discuss the necessity of negotiating the offer, but I suggest being cautious, especially in this employer’s market. If you want to negotiate, the best practice is to have two comparable offers and prepare for the worst case. Also, websites like Levels.fyi and Glassdoor should be used to research the compensation range.
### After the Interview – What to Do Next?
Congratulation! Now you’ve accepted your offer and ...
|
5 months ago
|
Towards Data Science
|
data:image/jpeg;base64,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
| 21 |
machine learning job market
|
2025-06-17 14:02:47
| null |
10 top AI jobs in 2025
|
https://www.techtarget.com/whatis/feature/Top-AI-jobs
|
AI is reshaping existing roles and creating new opportunities. Learn about the key skills and top jobs in industries driving AI adoption.
|
## Headline
10 top AI jobs in 2025
## Subhead
Heading into 2025, companies are looking for AI expertise backed by experience. Learn about 10 of the top AI jobs, the skills they require and the industries that are driving AI adoption.
## Author
Andy Patrizio
## Publication Date
02 Oct 2024
## Article
Going into 2025, AI is becoming an ever-greater part of our lives. AI is finding its way into a variety of industries, serving B2B interests on the back end and B2C interests on the front end. Sectors ranging from healthcare and finance to manufacturing, retail and education are automating routine tasks, improving UX and enhancing decision-making processes with the technology.
AI is also moving out of the data center and into the world through smartphones, IoT devices, autonomous cars and other intelligent instruments that interact with their environments. Improvements in real-time processing, lower latency, enhanced privacy and reduced bandwidth usage will make these embodied AI machines more efficient and safer.
At the same time, there remains a strong focus on the ethical use of AI, with an emphasis on fairness, transparency, explainability and accountability in AI models and decision-making processes. This is a departure from most technological advances, where ethics often play catch-up after adoption takes off.
All this AI growth means more jobs. Below is a discussion of the skills companies are looking for in an AI specialist, the industries that are aggressively adopting AI and a list of what might be the 10 hottest AI jobs and skills for 2025.
Many programmers across all fields are self-taught, and the resources available online make it easy for novices to educate themselves on popular languages, like C++, Java and Python. But the AI space has much higher demands. National University examined 15,000 job postings on Indeed to determine the requirements for AI jobs. It found 77% of AI job openings required that candidates have a master's degree, outpacing the 69% of postings that required at least a bachelor's degree. Another 18% required a doctoral degree, while only 8% of jobs posted were open to candidates with just a high school diploma.
The job openings predominantly required a moderate amount of experience, with midlevel positions accounting for almost half the job openings (44%), followed by senior-level (26%) and entry-level (12%) roles. There were no jobs that called for no prior experience. And, while many types of IT jobs are remote work-friendly, AI jobs are not. Only 11% of job openings offered fully remote work, and another 15% allowed for a hybrid situation of on-premises work and remote work. The remaining 74% required on-site presence.
In short, being a successful AI developer requires more than just coding skills. Proficiency in a core AI developer language, such as Python, Java or R, along with emerging languages, such as Julia or Scala, is essential. That alone won't land you a job, however. According to ZipRecruiter, programming is just one of the following five top required skills for AI programming jobs: communication skills, knowledge and experience with Python specifically, digital marketing goals and strategies, effective collaboration with others and analytical skills.
AI jobs demand critical thinking skills on the part of developers to solve problems and analyze user input. The same practices apply to code. Having strong mathematical skills can help people develop advanced algorithms for programs. AI is also unique because it requires some knowledge of psychology because AI simulates human behavior. To create AI, people need to understand how humans think and how they might behave in different situations.
Finally, with an emphasis on AI security, privacy and data integrity, individuals need to know the best practices behind security and ethics. Some industries are embracing AI faster than others. These include the following: technology, finance, healthcare, retail, manufacturing and cybersecurity.
AI jobs are changing at a fast pace, just like technology. In 2024 and heading into 2025, specialists are more sought after than generalists. Deep knowledge of one aspect of AI is more valuable than shallow knowledge across many areas. Here are some of the top AI jobs to check out. Salaries were derived from job postings on Indeed, LinkedIn or Glassdoor.
1. AI product manager: An AI product manager is similar to other product managers. Both jobs act as team leaders to develop and launch a product. In this case, it is an AI product, but it's not much different from any other product in terms of leading teams, scheduling and meeting milestones. Expected salary: $112,841-$139,861 annually.
2. AI research scientist: AI research scientists are computer scientists who study and develop new AI algorithms and techniques. They develop and test new AI models, collaborate with other researchers, publish research papers and speak at conferences. Programming is only a small portion of what a research scientist does. Expected salary: $136,000-$225,000 annually.
3. AI ethics officer: ... (REST OF ARTICLE TRUNCATED)
|
8 months ago
|
TechTarget
|
data:image/jpeg;base64,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
| 22 |
machine learning job market
|
2025-06-17 14:02:47
| null |
Future of Work: What Job Roles Will Look Like In 10 Years | 2024 and Beyond
|
https://www.simplilearn.com/future-of-work-article
|
Will technology kill jobs and aggravate inequality? Well, let's look forward to another 10 years to what the future of work will look like...
|
Future Of Work: What Job Roles Will Look Like In 10 Years
By Nikita Duggal
Last updated on Jun 9, 2025
Will technology kill jobs and aggravate inequality, or bring in more significant work and healthier societies? This question has worried humankind ever since technological advancement took over certain manual jobs. The services of a clock keeper, film projectionist, switchboard operator, etc. were no longer required once we developed better technology. The question still remains as is, what will the future of work look like?
What is the Future of Work?
Digital cameras and mobile phones changed photography and the way we click photos. To stay resourceful, photographers had no option but to embrace the new technology. At one point, nobody could have thought that these interesting jobs would not make it to a list of top future jobs and would be redundant in the future.
However, we have come a long way since then and learned from our experiences. Our past has taught us that there could be a world in the future where the human resources function vanishes and gets replaced by automation, outsourcing, and self-organizing teams. A world in which top talent is fought over so fiercely that the most skilful workers hire personal agents to manage their careers isn’t hard to imagine. The idea is to stay prepared for that future.
For the last 10 years, Simplilearn has helped learners to keep up with changes in the world of work. Let’s look forward another 10 years to what the future of work will look like in 2030.
Four Possible Worlds of Work in 2030
PwC sees four alternative worlds of work, all named after different colors. One world could move away from big companies as new technology allows small businesses to gain more strength. In another, companies might work together for the betterment of society as a whole. Let’s have a look:
1. The Red World
Here, technology will allow tiny businesses to tap into the vast reservoirs of information, skills, and financing. HR will no longer exist as a separate function, and entrepreneurs will rely on outsourced services for people processes. There would be fierce competition for talent, and those with in-demand future skills will command the highest rewards.
2. The Blue World
Here, global corporations will become larger, powerful, and more influential than ever. Companies see their size and influence as the best way to protect their profit margins. Top talent is fiercely fought over.
3. The Green World
As a reaction to strong public opinion, scarce natural resources, and strict international regulations, companies will push a strong ethical and ecological agenda.
4. The Yellow World
Here, workers and companies will seek out greater meaning and relevance. Workers will find autonomy, flexibility, and fulfillment while working for organizations with strong ethical and social standards. The concept of fair pay will predominate in the future of work.
What is the Future of Work? 10 Key Trends for the Next 10 Years
According to independent studies published by CBRE and Genesis, and a report in WSJ, the workplace in 2030 will be very different from the one seen today. Here is a glimpse of how work in 2030 could look like:
1. There Will Be “Places to Work”- The best workplaces will have different quiet areas so that workers have choices to where they want to work, eliminating assigned seating altogether.
2. Smaller Individual Organizations- There will be smaller corporations. With so much opportunity for collaborations, there will be no need to build a costly big business.
3. Less Hierarchy- Everyone will be a leader. Work will thrive in teams, not with dictators.
4. Big Emphasis on Wellness- Offices will be much healthier environments, whether that’s good lighting, relaxation areas, sleeping rooms, music, pets at work, etc.
5. Need For a “Chief of Work” Role- The Chief of Work will set the culture in the organization. This role could also feature amongst the best jobs for the future.
6. Flexible Floor Plans- When workers arrive at their office building, wearable devices will let them know what floor to go to, that can be changed based on sensor data.
7. Goodbye, Desk- There won’t be any physical desks; employees will just park themselves anywhere and have a simulated office before their eyes.
8. Your Robot Assistant- All workers at all levels will be using robotic helpers in the future like Siri or Alexa, to sort through incoming email, schedule meetings, create spreadsheets, etc.
9. Smarter Brainstorming- Most meetings will take place between different groups of workers in multiple locations, allowing seamless sharing of ideas and brainstorming across time zones.
10. The Virtual Water Cooler- Informal get-togethers will take place via virtual and augmented reality headsets.
Megatrends in Job Roles
Pearson conducted research into what skills and employment in 2030 might look like and identified some possible trends in job roles:
1. They forecast that only one in five workers is in current jobs, and that will shrink in the future.
2. Occupations related to agriculture, trades, and construction, which in other studies have been forecast to decline, may have pockets of opportunity throughout the skills ladder.
3. In sectors such as education and healthcare, they forecast that only one in ten workers are in occupations that are likely to grow.
4. Pearson forecasts that seven in ten workers are in jobs where there is greater uncertainty about the future.
5. Their findings also confirm the importance of higher-order cognitive skills such as complex problem solving, originality, fluency of ideas, and active learning. These will be the most in-demand skills for the future.
Most In-demand Skills For the Future of Work
McKinsey Global Institute’s research report has highlighted the top three skill sets workers will need to secure the best careers for the future. These most in-demand skills for the future are:
1. Higher cognitive- These include advanced literacy and writing, critical thinking, and quantitative analysis and statistical skills. Doctors, accountants, research analysts, and writers use these.
2. Social and emotional- These include advanced communication, empathy, to be adaptable, and the ability to learn continuously. Business development, programming, and counselling require these skills. These jobs are also amongst the best careers for the next ten years.
3. Technological- This includes everything from basic to advanced IT skills, data analysis, and engineering. These future skills are likely to be the most highly paid.
Top Future Jobs in 2030
Analyzing the major technological and business trends today, Cognizant and ZDNet propose the best jobs/careers to emerge over the next 10 years will include:
1. Virtual Store Sherpa- will focus on customer satisfaction through virtually advising customers using the knowledge of the product line.
2. Personal Data Broker- will ensure consumers receive revenue from their data. The broker will establish prices and execute trades.
3. Personal Memory Curator- will consult with patients and stakeholders to generate specifications for virtual reality experiences.
4. Augmented Reality Journey Builder- will collaborate with talented engineers and technical artists to develop vital elements for clients.
5. Highway Controller- will monitor automated road and air space management systems to ensure no errors occur.
6. Body part maker- will create living body parts for athletes and soldiers.
7. Nano-medic- will transform healthcare.
8. GM or recombinant farmer- will transform farming and livestock.
9. Elderly wellness consultant- will cater to the physical and mental needs of the elderly.
10. Memory augmentation surgeon- will boost patients' memory when it hits capacity.
11. ‘New science’ ethicist- will ford the river of progress.
12. Space pilots, tour guides, and architects- will allow pilots, tour guides, and architects to live in lunar outposts.
Impact of Automation
There are fairly divided opinions on whether technological advances will reduce human jobs, or technology advances will produce as many jobs as they displace. An article by WSJ says that automation is expected to impact work in a series of three waves:
1. 1st Wave (in early 2030)- Algorithmic
2. 2nd Wave (till late 2030)- Augmentation
3. 3rd Wave (from 2030)- Autonomy
3% of jobs are expected to be displaced in the first wave. This number can rise considerably in the next two waves as 30% of jobs might get automated, with more and more workplaces starting to embrace the advancement in technology. Due to their greater presence in administrative and clerical jobs, women might face a larger risk of automation during the first two waves. Later, many manual tasks performed by men are likely to be replaced by automated vehicles and machines.
Job Interviews in 2030
The hiring managers and job hunters of today would agree that an interview isn’t the ideal way to find the best person for the job. Managers rely on subjective information to make their decision, which sometimes isn’t the most accurate. Hence, as per an article by WSJ, interviews in the future would look nothing like they do today:
1. Personality Profiling—With the Help of AI- As soft skills gain importance, more employers will use AI to create personality profiles using social-media.
2. A ‘Credit Score’ for Skills- One day, companies could automatically score skills using the text that candidates put online.
3. Testing Job Performance Virtually- Employers are already using VR for on-the-job testing, training, and diversity initiatives.
4. The Right Brain for the Job- Wearable health technology will be able to be used to find the right brain for the job.
Getting Ready and Staying Ready
Preparing for 2030 will put heavy demands on businesses and learners alike. Simplilearn provides blended learning that helps the digital economy workforce keep its skills current in areas like data science and digital marketing. We also ensure our clients develop upcoming and trending skills like business analytics, cloud computing, and DevOps.
|
1 week ago
|
Simplilearn.com
|
data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAkGBwgHBgkIBwgKCgkLDRYPDQwMDRsUFRAWIB0iIiAdHx8kKDQsJCYxJx8fLT0tMTU3Ojo6Iys/RD84QzQ5OjcBCgoKDQwNGg8PGjclHyU3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3N//AABEIAEIAeAMBIgACEQEDEQH/xAAbAAACAgMBAAAAAAAAAAAAAAAEBgAFAgMHAf/EAEIQAAIBAwMBBQUDCAcJAAAAAAECAwAEEQUSITEGEyJBURRhcZGhgbHRIzJCUmKSssEVFqLC0uHxByQzQ3JzgpTw/8QAGgEAAwEBAQEAAAAAAAAAAAAAAQIDBAAFBv/EACYRAAMAAgEDAwQDAAAAAAAAAAABAgMRIRITMQQiQUJRYXEUIzL/2gAMAwEAAhEDEQA/AAdGt5pWSOK4jl3cBZVyD8xTI+i3iJ+W0mKT9qJin0U4pa014YpoXa73bnRfEm3IKBuMnnGQDz5jpnFNsfaGztIBb+zxzEYPfCUA49PDn76+gzJtroWzz1k15ZQ3tnaxuFuLO+hY9AJEx/aGfrVZc6LZ3MbBL2aIE4y1gXx8CrkZ+yie02qx3V2rxK0ce3woZC+PtNDaPqBW0dO7jlXIOHkZccHpgiqTjfT55GebjZti0OxjiEdvdxKqjpKkiH7crXn9D2p4XULEn073H31it04cqFO4HycnNWNhcS3FxHGHfbzuHXjHw6+nvxV3NRPDEWbfwBjQAek9q3wuI/8AFWY7Osf07f8A9iP/ABU2IbWExxyPCCwO3dGG8yM5x7vPAqaja+zEPDwvG5cdM+f0/wDvLKvU03oorQp/1eUfnTWi/G4T8ax/oCEnC3tmW9BIT9wroekqG03kLuZgT4euCKAv+8RYAFJBiXcNx60J9RkddIatJCTL2ctZYiLi5Xb13RRSNt94O2jLPSLa1ij7y4lkB4ytn3e795uPlRk0s3dybiAVHIoPU5ylvHkgEtnjiquKp7bIrO/BYpBZlT3dvcP7pJUA+gzVTqUKYIS2tk/6iZP4q0LfMsj4fFDSX5DP+UOCvOD/ADpowLyDu1spNTSRUdu+IUcYjUKKlatWuXlU75GY9fEc1KXKpT0jRNNoGtL2XKIZX2bslSxxn1x0qzW6Ycbl+dLiuARjr8KLW6eLwjBx7qeMqS5JXOwy+ui0gyc4HlRGlZePrjp5VU3LMzhm28r5HNWWjzFEx0zipzl/tC59pfaZayzXIihZVJHVunJx9+KtrC3Nnd27O6FJk3ZyQF5yM/8AkozigNLeYSCWMsrDoVyKaLOD2maEXLyBAuNxyCOOgps2RpPfgkkt6Dk01LmZJmnKDbyeDwSTn644z6/EnT2vtSuL+KUobWGVYrdoyTuAGSc5+HlWV7paT6fcRC4C2QgbfECSZDg9Seg5+33Y50f7NWu2sZJ7jcjhUjEbKQPCDyB1APT08x6V4mTNW1+DZGKdDJBpcsMaKi+Fck+p86pNXguo03vED4cYByaco3BQ+EsSapNVJXxmEMf1WVcE/wAqOHNXUDLjnQgagkvdyL4QSORS7rMkxto+8CggnAB8qbNauJAzo1s6sDyNoGDSr2g1CaONSsbR7uRuA5Hur13VdvZixpdaKnvHMrkEDihJJirHcwOR5VnNeTOZJGbpgH7c/hQc7d9hYVaZymW4PhOM8fI02PK9F3C2DXcgYn1xzUrXcxmMOrhhIPeMYqVC8nJZSMOj6JY6wsp9rFnMmCI3jyrfAjH1rDVLGys7p4Io5ZijYZt4UbvdwavLDRzbuZLVLqQEDKtHhj7gPxNFjs813H7Vf6TexSsQXRpowpJYZ28dMDzPnTVkSn8mVKnfngShDDIxb2eReOize73rmrHSrGNrWWYZUpgbDhiRj1wKarfQLSCebvdNVo/zl7y+j88ZGAOvB+da7qwjgsnSGO3QNCse0SEgP0DEgc9R8qljvT2PfK0jf2e0Zr5VkjC90f02IFPWl6Ta2RV2bvHHuGK5np+pX2k211bQX4WKJz3aAOwOVB4yAByT5fSvB2s1fg95Cc+trEf7tHJ3Mv6FmVL2zr99e6daW/8AvojWKXKFSpO73YFV+man2b0yHuNNiitYuuyGBlX5Yrldz2i1C6RVnaLAOR3dvGhz8QorBdWuh+n/AGVqK9HP1Fu5XwdvstUtryMy2jhwrYPBGD8DWi8ZZOoRh+qeM/bXIbXtJf2yMkBiwWyd8EbnPxINZSdr9Y5xJCuP1baIf3aT+K0+Dne0MPaaOcu8ssS7WI/NkGP8qVO0KhrWBpl8WOikAKPLnB+6m6bV7eXToGu2muXfZiFe8Cl8e4EevlVJqQOqSW8MunS2ySOUTvVKqzCJmHiI4HhI/wBav3tT0tEZx+7qF/T9Ohv4dS2xzBoYlkUd4Mk88fm8dcUNp+mW1xeG0lkntnJ4O8MNy5PPAx506nSLaF5hbWhhSePbIkWoxgMPIEYHqarrrSPY4hPZaddSSA4CrcRsAOhzwPInoTVseRa5Oae+Bb7T6dY2czd1dm6lkGWEY2qvPqc5/wAqlGX+koxzde0qGwF2R5IHnke4ZrypZV7uC0V7eQ+y1jYfylwW56HefpzTLao8u10ntoN3LEwlmx8xXIw9zHcLcWsgLK27Yx86ZLLtYsaj2+Ca3/a27l+nNKql8PgnUNcrk6UbO0dMPcTze7eFx+6Afvqi1j2OwtJLt4JHSHxYGXPp5/Hz6dfKh9N7QWNzhY7yF2P6IcZ+VX8DI4BYgg8g06SS8k3vfIji4knsGmt4rcCfJAQB8Z8iwHBxxgDiq5sofFA4+AzXUJOzWl3a+0SQKJcABl8LfDI+2hm7I2pbwTSpny37v4s105Uh9M5uXQ9Vf9017vT0f90/hXRR2Rj/ADvaZCPQqnP0rbH2QhOMyvj4L+FN35+4NP7HNlYZO1JOf2TWQjlY+G3dviOK6V/VGFN2LmQY9VT8Kyi7N2QAaWSdx6GUr/Dih35Z2mJp1mSxtbaW8tLaVIG3OrqELADAAbByeRxjmrjUdWsdQ0L2i3tXjZVW4jVMo2UIbbx6gbfgasptH0eCQSR26GdQdsreNvmcmh52hGTtxjzpFM1tnOmtA9x7PJzDczIPLxbgf3gT9aqLhJo9zvLBLjoVjIY/Zk1NR1mxtyRLdwoR5bhn5daWr7tIjg+wwyz/ALRG1frVHcT8iTNU/ATd6oW/4dwR7hv+6pSqzzvMZ7l/ESW2r6mpUO82alGjOLrR0JPrXtSjjBQS1vAygtDGT6lRVXLNLaS4tZHg/wC0xX7qlSi0Kxp7N6rqTwpv1C7b4zMf508afczumWmkY483NSpSil6JH9jZt7Z25zn3GimJyeT1qVKSvIUCXEj96w3tjA8/jS5q9zOqNtnkHwc1KlPPg4Q9e1K+SI7L25XnylYfzpZjnlumHtUrzc/8xi331KldQZLqOCFUysMYPqFFB3JOTzXlSi/8jfJXy9alSpWZ+SqP/9k=
| 23 |
machine learning job market
|
2025-06-17 14:02:47
| null |
Decoding the Software Engineering Job Market
|
https://www.aei.org/domestic-policy/decoding-the-software-engineering-job-market/
|
Two weeks ago, I wrote a piece about how some software coders are hitting labor market turbulence in the wake of a post-pandemic...
| null |
7 months ago
|
American Enterprise Institute
|
data:image/jpeg;base64,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
| 24 |
machine learning job market
|
2025-06-17 14:02:47
| null |
Recruiting & Hiring AI Talent: 5 Things HR Needs to Know Now
|
https://www.hrmorning.com/articles/recruiting-ai-talent-hiring-ai-talent/
|
Artificial intelligence (AI) is already reshaping industries far beyond the tech sector -- and it's creating a promising job market for AI...
|
# Recruiting & Hiring AI Talent: 5 Things HR Needs to Know Now
By: Michael Beygelman, HR Expert Contributor
Last Updated: November 20, 2024
Artificial intelligence (AI) is already reshaping industries far beyond the tech sector — and it’s creating a promising job market for AI talent.
As we examine the current state of the AI hiring market, it’s clear that we’re witnessing nothing short of a revolution in employment across various sectors.
## Decoding the Current AI Job Market
If your company is planning to hire an AI professional, here are five things you need to know about this niche in the job market.
### 1. Expect Fierce Competition
The AI talent race is in full swing, with tech behemoths at the forefront, but the influence of AI extends beyond Silicon Valley. Data from WilsonHCG shows the computer software industry leads the pack, demonstrating a strong demand for AI talent in software development and related services. Following closely is the IT and services sector, encompassing companies providing IT consulting, system integration and managed services.
Additional key players in the AI talent market include the research field, financial services and the Internet industry, highlighting the widespread transformation brought about by artificial intelligence in various sectors.
Digging deeper into the numbers, Amazon currently tops the list of AI employers with an impressive 1,525 AI-related employees, followed closely by other titans such as Meta, Microsoft, Apple and Alphabet.
However, the demand for AI talent isn’t limited to tech giants. Companies like TikTok, Deloitte, and Capital One are actively seeking AI professionals, signaling AI’s expanding impact across diverse sectors including social media, consulting and finance.
### 2. Look for Job Skills in High Demand
The AI field requires a blend of technical prowess and innovative thinking. Key skills that employers across sectors are looking for include:
* deep learning
* machine learning (ML) model development
* computer vision
* generative AI, and
* natural language processing.
In addition, expertise in algorithm development, model deployment, data science focusing on AI/ML, AI prototyping, research and development, and AI-specific programming languages like TensorFlow, PyTorch, and Keras are highly valued.
But it’s not just about coding. Skills in data science and analytics, AI ethics and governance, and cloud computing for AI (using platforms like AWS, Google Cloud and Azure) are becoming increasingly important. This multifaceted skill set reflects the complex nature of AI work and its far-reaching implications.
### 3. Expect to Pay a Premium Salary for AI Talent
One of the most striking aspects of the AI job market is the significant salary differential.
AI-related roles command substantially higher salaries compared to their non-AI counterparts across various sectors. How much so?
The average salary for AI jobs stands at $166,584, compared to $110,005 for non-AI jobs. This premium underscores the high value placed on AI expertise in today’s market.
### 4. Know the Geographical Hotspots
The hunt for AI talent is particularly intense in major metropolitan areas across the U.S.
San Francisco, New York, Seattle, Boston, Chicago and Los Angeles emerge as top locations for AI professionals. These cities are magnets for AI talent.
### 5. Prioritize AI Ethics
As AI’s influence grows, forward-thinking companies are actively seeking professionals who can balance the benefits of AI technology with ethical considerations.
This includes conducting regular audits of AI systems for potential biases, using diverse datasets in training AI models, and maintaining human oversight in key decision-making processes.
## Market Trends and Future Outlook
The AI job market has shown resilience and growth, even in the face of economic uncertainties.
After experiencing some fluctuations in 2023-2024, the market showed a strong rebound in early 2024. Since February of this year, job postings have steadily increased. Looking ahead, we can expect the demand for AI skills to continue its upward trajectory.
As AI technologies, particularly large language models like GPT, offer new possibilities for managing and interpreting vast amounts of data, the need for skilled professionals who can harness these technologies will only grow.
## Embracing the AI Future Across Industries
The current state of the AI hiring market reflects a broader shift across all industries. AI skills are becoming the new standard, with professionals who possess AI proficiency being highly sought after for their ability to develop innovative solutions, analyze complex datasets and contribute to high-level strategic decisions.
The goal is not to replace human ingenuity with AI, but to augment it, combining the power of AI with creative problem-solving, critical thinking and domain expertise across diverse fields.
As we move forward, organizations must adapt to this new reality. Leaders across departments need to collaborate closely, leveraging AI technologies to manage the increasing complexity of data and talent management.
The future of AI in the workplace is not just coming — it’s already here, transforming industries far beyond IT.
|
6 months ago
|
HRMorning
|
data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAHgAAABCCAMAAACrW+IrAAAA/1BMVEUpO23A0f////9Ueff9/PoqPXEsP3YbNG66yva7ye/k5uvd3+aLfFvpwT82Q2vh4+kxRobv8PE3Z/bK0/z4+f8dMmgkN2tCbfc3T5smN2RCYMLG1//0+furv/1Odfe4yv7Dz+8JJFtxgKoAH13h5fGxxf40S5KGi6KRma7P1d7l7P8QKmSqscGzwvA7SnYGJ2WepLZ2gJpVYYW9ws4AFVtha4xKV38AHF8AAFTd4/6Mo/qTqfpti/hhg/j479jnw0/juR789+yfsfpkc59pfLeYosh3icAgOX2ls+t4k/kNIlEkXPZMUGh2bWH15sDw26Ls0oZcW2afiVC9oU/T0Mu1yaWYAAAG90lEQVRYhe2ZC3ebxhLHYWUp7hJXwoJVXS2QlmCeARaEYvmVRDe3qZqmdh/f/7N0ljeyZFm+antOz/0faQG9fp7ZmdlhLQiHEwnFp+uAXIH8Z/rPgNXv/w/+t4PJQ/DxVh2Adzaq9NHiEsXpuOR+JW/VAcCjwXkFNizLMCzR0IwSfIS26QD2Ds7PCsEcT4EJZFH768GcOzov9NHSFiLYrE2tBuwON+p/B48G/VFhMeEWG5xstcD4cYsJEUh+fBYYTC7nmE+uJm4EYwmEu2A/SNM4nqvMttMg9vcFn4/O4Dj69NHIyXy0HoBpfiLLXYsjm80CDnaSSN3b4m+E/kjo93kB0XhQi/C0HoBlCWOpviy/rtosAqtd20lTthe5AI/6Qlm5NGMBvtYKcgfsUnokY3kDODQzsHi2l6cr8ABOv8srF8/hgmxZb1pgnPIxXbeYMR/mOGN2mgZ7zzG3eDD49N8fYHohmcSCvGbxEBcRtjGqSa5nWXw++PTVD0YObsidqB6Cl+XhgwKiqoQP/Knyc1Jd5y8QOCN8VFV1M3h0zqMa3KvVZMN408ljF+P0aB0MAT0ngsNUnlK2nfmZk5C+bRMS8uvEZn7oZPzU2QIeVcuiVZEN47gNlmVK62xqXC3T9G2IJNN3EaUo8DFNo5BKKkn4tY0pS1BKQSgkj4Mrcju4FOvqx3x28Y9XmteJajqUw5C6phAKFAopo0MahrILYJpmmYBlmdGAODQOd1lck5s5XugTXe+trq5WPV3XJ+MG7EuY0VjgYGJSPJtJckYDAcBqAkYiH/M1NJg51PF3g2tyBZ70uICpFydKBSYZeF/GucVCBOCkuJZdH8BpOFexFFM5fQvgbcHVBufkxtWLAlxrsqjAkYscO0UO4mAT4YuUxnAdc2MDPsQYX7gQBQ6Kt4NJ0rQ+PLqNCnysd8G6VlscO74/d5hj83yKbdVxCESx7YCyfLDhHYj5LM7IVrBAjptua9GqXFfr4MsmuABIqiSFsb5Wi+QleYaX2b0d3LqVaC8Sq966GrBpRjxqooiXjciMVDUC8bCLBN8084jKjwRWLzUiHfD52UAYDKAV+AlagVo1WNEna/qslGDVkSQ3gIrpSgnxmStLzJZcd8hfcc1All2eRHAM+okUzxypcTiABy0n1r+tL6e1xcoDVRarMZUkmpqM0sCE/EmpG1M3dcG1MnZoGriqYLr5Z+Bd5tBm6QQXf9tw9dZslhbX1bmrGmxDmZq5OKV+QO1Z+DYGHKRODpZg4SIhHV5cDCmDREvb4P6oAk/yElGzS7CMN6oGY0yDOXUD6gSU+RGAh1LqA1iexZjSTIU3Z5BSjEpUboOFyuKJkZuiaJMOeItqsIvli5SXJ4lRbLtxTAPmhNzV8yBJqa2+xRReHCY0cGgLDEGVg/UbxdM80UNjT+mAXWmjKjByoHpQLJAUsYCXjZj/WQlRKXX4iga5kkCY4HmG0gv4TFNGRoNvyzJ4bU3Q5fVkdbzQW+DH29t8reUPnrC+kAh+kb48qaFqzk3+GXOemISnuN/J5hysg5+vjZvF9Y3WO1U0vQMeb5CwUWtVompKNjcnuat15C0Uzbs+XUynp1Nl0gYvPp8+1GbwXsrBK4SMJUzzRFOuJkvUe6bFe4Oh+io3q9XnBVSOU6jE10+e4xdbtbP3y8ErJJ4iBZb45Wo8Rm1XS4/dtJGfX27Vz7vIRToh5fPl6sYTC3su9afl8YsvJ1v15UlgfYy8m0sDecXPKq0CcvvLhuG2+vbXW7XL06XFNwh5Hn/k8q5r8N27d/f1cFef7fzZ3SrAE4vXrGkBVk4biz+cvP8FfXj//hbdtoaTg4F71y2LF63g+nB/d9se7u4+8OFw4F4BVjh43AI/GlyHAisGWkAHiZb63woeKx5aIG21vKoXic0rU7M6HQqseJ53WrUh67t8RQtY3mMcYkuxBkMSe0rTvHOLX9d6VYKrfZkDgpfLqyVvfVrgVwhR3tvBPeLrCmxY+V10/fW995kegPVCvQ4Y3568g5KBj2qw2LGYCL+evXguudXetsTb21dIglpxcnKP5QI8Hht8J8yowOTX3778/sWEzoLwXoTw44a7hq3qP5D/ZppbTEtw6WrRmhZ7cFrxxeg3O4v+SF3G5gnL7Dk/CAmbP9//370RizkuwNUc59t+xlScTsvPvQxsn0ohdexgxuIsthmznTA5APgIwFCsa7CoTS1Nqyx+8TLGLnS2cCfMWJZliZ0lWcbW7wyfA0a39/d3qAXmmzJNVH+dxnO4YUj9vNMkpByezW2B0evXtAMW22A1S1SbmesbHIcAS9LQpR1wp4CQvGHeb//0aeAjENoOPrQK8PGrRn8r+BH968D+PwXe+S/dvwosqDtM/hPZASZpzgYbvgAAAABJRU5ErkJggg==
| 25 |
machine learning job market
|
2025-06-17 14:02:47
| null |
Future-Proof Your Career: The Top 10 Skills Employers are Looking for in 2025
|
https://www.stjohns.edu/news-media/johnnies-blog/top-skills-employers-are-looking-for-2025
|
Stay ahead in 2025's job market with our guide on the top 10 skills sought by employers. Embrace AI and tech innovations to lead your industry.
|
Future-Proof Your Career: The Top 10 Skills Employers are Looking for in 2025
February 21, 2025
In today's rapid job market, staying ahead is non-negotiable. Developing future-ready skills is crucial, particularly as the evolution and integration of artificial intelligence and other technological innovations is redefining the business world (and how we engage in it). Upskilling is no longer a “nice-to-have,” but instead a necessity, to enhance your employability and open doors to higher-paying or leadership-oriented roles.
No matter how the technology changes over time, employers will always seek those with diverse skill sets. Proactively acquiring skills and staying updated with industry trends is imperative for future-proofing your career. **Here are 10 skills employers will look for in the coming year:**
## Skill 1: Data Literacy and Analytics
Finding employees with the ability to make informed decisions is vital for any employer. As businesses continue to amass robust amounts of data, interpreting and analyzing the data will become more important. Data literacy and analytics isn't just about understanding numbers; it's the ability to uncover hidden patterns and trends, transforming raw data and articulating insights to stakeholders so they can make the most informed decisions—focusing on evidence, rather than intuition.
## Skill 2: Artificial Intelligence and Machine Learning
Mastering Artificial Intelligence (AI) and Machine Learning (ML) is a game-changer in what is expected to be another year with a competitive job market. These skills are not just buzzwords. They're your ticket to standing out on your resume (and in the workplace). As of 2022, at least 77% of businesses have started using or exploring AI. And, if you have the skills to use these tools effectively, you can help streamline operations and increase your personal productivity, putting that time back into growing the business rather than focusing on operations. The beauty of AI and ML skills lies in their versatility. Whether you're eyeing a role in healthcare, finance, retail, or manufacturing, organizations are actively seeking those who can effectively employ these technologies to drive growth and make meaningful contributions to the organization.
## Skill 3: Digital Fluency and Technology Aptitude
Digital fluency is about navigating and utilizing digital tools effectively, staying updated on tech trends, and adapting swiftly to emerging technologies. Beyond basic computer skills, digital fluency involves a deep understanding of how technology influences business processes so you can drive innovation and efficiency in your organization. With organizations becoming more accepting of remote work and virtual collaboration, those who have strong digital fluency will have a more competitive edge in the application process, allowing them to seamlessly integrate new technologies, streamline processes, and boost productivity—for themselves—as well as the larger organization.
## Skill 4: Creativity and Innovation
Creativity and innovation are skills that never go out of style. In fact, they can be foundational to many businesses. Creative thinking means tackling challenges from unique angles, breaking free from conventional thoughts, and finding unique solutions. When you pair this with an innovation mindset, you can become a standout in the application process. You are more capable of embracing new ideas, taking calculated risks and using strong problem-solving skills to make decisions under pressure and adapt your approach when the time comes.
## Skill 5: Emotional Intelligence and Empathy
Emotional intelligence (otherwise known as emotional quotient or EQ) encompasses a range of skills, including emotional awareness and management. It involves recognizing and understanding your own emotions, as well as being able to empathize with the emotions of others. In the workplace, empathy plays a crucial role in building strong relationships and fostering a positive work environment. When you are able to put yourself in someone else's shoes and understand their perspective, you can communicate more effectively and more easily resolve conflicts. High emotional intelligence also helps you manage your own emotions in a productive manner. It helps you remain calm under pressure, make rational decisions, and handle even the most challenging situations gracefully.
## Skill 6: Adaptability and Resilience
While EQ helps you handle situations with grace, adaptability, flexibility, and resilience help you navigate those situations, allowing you to embrace change. Employers are looking for employees who don’t just talk the talk, but walk the walk—showcasing these skills under pressure. At the heart of these skills is adaptability, a trait that goes beyond keeping up, but instead is about quickly adjusting to new processes, systems or strategies. You need to be open-minded and welcoming to new ideas—especially in a business environment and market that can move at a breakneck pace. You must also be flexible. This is not just about doing tasks, but doing them exceptionally well when you need to adjust priorities on the fly or have to be open to acquiring a new approach. This ties into resilience, the ability to bounce back and bounce back stronger. Resilient employees can weather setbacks and be determined to thrive amidst challenges and continuing to actively seek solutions when things get tough.
## Skill 7: Critical Thinking and Complex Problem-Solving
Employers actively seek individuals with strong critical thinking, analytical reasoning, and decision-making skills. Critical thinking involves objectively evaluating information, analyzing it from multiple perspectives, and drawing your own logical conclusions. It empowers you to question assumptions, identify your biases, and make well-informed decisions based on evidence. Complex problem-solving demands breaking down intricate problems, identifying patterns, exploring alternatives, and being adaptable. It requires creativity in generating innovative ideas and flexibility in adjusting strategies as needed. Mastering critical thinking and complex problem-solving not only boosts your individual performance but also contributes to organizational success.
## Skill 8: Leadership Skills and Influence
When employers are looking to fill any position, an applicant with strong leadership qualities, effective team management, and clear communication abilities will stand out. What are the strategies of an effective leader, even in an entry-level position? Effective leaders inspire trust and confidence by embodying qualities like integrity and accountability, fostering a positive work environment. When you set a positive example, you can influence others to follow suit, improving workplace morale and increasing the productivity of your organization or department. Team management is also key; knowing when to delegate tasks, provide guidance, and empower team members. You must have the ability to recognize individual strengths and weaknesses to create a cohesive unit working toward shared goals.
## Skill 9: Cultural Competence and Diversity
As the business world gets more diverse, cultural intelligence and competence are invaluable skills. Cultural intelligence, the ability to navigate and communicate effectively across cultures, goes beyond language proficiency. It involves understanding diverse cultural norms, values, beliefs, and behaviors. Cultural competence enables you to build meaningful connections with people from different backgrounds, fostering inclusivity and respect. These problem-solving skills enable you to consider multiple perspectives before making a decision, leading to a more productive work environment.
## Skill 10: Environmental Sustainability Awareness
With the growing concern for our planet's well-being, individuals and organizations alike are realizing the importance of incorporating eco-friendly practices and green initiatives into their daily lives and their workplace. Organizations are implementing sustainable strategies such as reducing waste, conserving energy, and promoting renewable resources. These initiatives not only benefit the environment but also enhance their reputation as socially responsible entities, as consumers “are more likely to purchase and prefer green items over conventional products when they believe that the companies selling those products take green marketing seriously, are knowledgeable about green products, and share their values.” By developing a sustainability consciousness, you will not only improve business outcomes, you will actively contribute to preserving our environment for future generations.
## Embrace the Skills of the Future to Stay Ahead in the Job Market
In the fast-paced professional landscape of 2025, future-proofing your career is not just a choice—it's a necessity. As industries evolve, employers are increasingly seeking individuals with a dynamic skill set that goes beyond the traditional. To not only secure a position but thrive in it, you must learn to leverage these skills so you can continue to be successful even after you land the job. St. John’s University will help you develop these skills with our programs that are specifically designed for a competitive job market without neglecting the importance of operating ethically and with a passion for high principles.
|
3 months ago
|
St. John's University
|
data:image/jpeg;base64,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
| 26 |
machine learning job market
|
2025-06-17 14:02:47
| null |
Predictions For The Tech Job Market In 2025
|
https://www.forbes.com/sites/jackkelly/2024/12/17/predictions-for-the-tech-job-market-in-2025/
|
The United States tech job market is poised for a rebound in 2025 after a period of turbulence that has been marked by layoffs and strategic shifts.
|
No article content is present in the provided HTML string. The string appears to contain navigation menus, links, and other non-article content from the Forbes website.
|
6 months ago
|
Forbes
|
data:image/jpeg;base64,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
| 28 |
machine learning job market
|
2025-06-17 14:02:47
| null |
12 Data Science Job Titles: Types of Data Science Jobs
|
https://builtin.com/data-science/data-science-jobs
|
From established roles like data scientist to more recent roles like AI ethics officer, here are some of the top data science positions on the market.
|
# 12 Data Science Job Titles — Which Role Is Right for You?
Data science is a rapidly growing field. How do you know which job is the best fit for your skill set? From established roles like data scientist to more recent roles like AI ethics officer, here are some of the top data science positions on the market.
Written by Sara A. Metwalli
UPDATED BY Matthew Urwin | Nov 15, 2024
When I first started as a data scientist, I was baffled by the different types of data science positions and their responsibilities. I didn’t want to apply for a job when it wasn’t even clear what I would be doing. Because of all the data science roles out there — and their nuanced job descriptions — you may also be confused. Which role matches your specific skill set? How do you know what you’ll be working on?
Let’s look at the differences between some of the most popular data science roles and what they actually do.
## Top Data Science Job Titles
* Data Scientist
* Data Analyst
* Data Engineer
* Data Architect
* Data Storyteller
* Machine Learning Scientist
There are several types of data science jobs.
## 1. Data Scientist
As a data scientist, you’ll deal with all aspects of a project from knowing what’s important to the business, to data collection and analysis and finally to data visualization and presentations.
A data scientist is a jack of all trades. As a result, they can offer insights into the best solutions for a specific project while uncovering larger patterns and trends in the data. Moreover, companies often charge data scientists with researching and developing new algorithms and approaches.
## 2. Data Analyst
In your job search, you may also come across the role of data analyst. Data science and data analysis sometimes overlap. In fact, a company may hire you as a “data scientist” when most of the job you’re actually doing is data analytics.
Data analysts are responsible for different tasks such as visualizing, transforming and manipulating data. Sometimes they’re also responsible for web analytics tracking and A/B testing analysis.
## 3. Data Engineer
Data engineers are responsible for designing, building and maintaining data pipelines. They test ecosystems for businesses and prepare them for data scientists to run their algorithms. Data engineers also work on batch processing of collected data and match its format to the stored data. Finally, engineers keep the ecosystem and the pipeline optimized and efficient to ensure data is available for data scientists and analysts to use at any moment.
## 4. Data Architect
Data architects share common responsibilities with data engineers. They both need to ensure the data is well-formatted and accessible for data scientists and analysts and improve the data pipelines’ performance.
In addition, data architects design and create new database systems that match the requirements of a specific business model. Architects need to maintain these database systems, both functionally and administratively. In other words, architects keep track of the data and decide who can view, use and manipulate different sections of the data.
## 5. Data Storyteller
Often, data storytelling is confused with data visualization. Data storytelling is not just about visualizing the data and making reports to share stats; it’s about finding the narrative that best describes the data and developing creative ways to express that narrative.
Data storytelling straddles the line between pure, raw data analysis and human-centered communication. A data storyteller needs to take data, simplify it to focus on a specific aspect of the data, analyze its behavior and then use their own insights to create a compelling story that helps different audiences better understand a given phenomenon. This position offers significant value to a team while creating an opportunity for data scientists to flex their creative muscles.
## 6. Machine Learning Scientist
A machine learning scientist researches new approaches to data manipulation to design new algorithms. They’re often part of the R&D (research and development) department and their work usually leads to published research papers. Machine learning scientists typically work in academia rather than industry. You may also see machine learning scientists referred to as research scientists or research engineers.
## 7. Machine Learning Engineer
Machine learning engineers are in high demand. They need to be familiar with the various machine learning algorithms like clustering, categorization and classification while staying up-to-date with the latest research advances in the field.
Machine learning engineers need to have strong statistics and programming skills, along with fundamental knowledge of software engineering. In addition to designing and building machine learning systems, machine learning engineers need to run tests while monitoring the different systems’ performance and functionality.
## 8. Business Intelligence Developer
Business intelligence (BI) developers design strategies that allow businesses to find the information they need to make decisions quickly and efficiently. To do that, BI developers need to be comfortable using new BI tools or designing custom ones that provide analytics and business insights.
A BI developer’s work is mostly business-oriented so they need to have at least a basic understanding of the fundamentals of business strategy, as well as the ins and outs of their company’s business model.
## 9. Database Administrator
Many companies design a database system based on specific business requirements but the company buying the product will actually manage the system. In such cases, a company will hire a person (or a team) to manage the database. A database administrator will monitor the database to make sure it functions properly and keep track of the data flow while creating backups and recoveries. Administrators also oversee security by granting different permissions to employees based on their job requirements and employment level.
## 10. Statistician
While statisticians and data scientists have overlapping responsibilities, there are key differences in how they fulfill their roles. Data scientists work with a broader range of disciplines like machine learning, software engineering and automation. On the other hand, statisticians are more focused on using statistical models and mathematical concepts to discern quantitative relationships in data and solve problems.
## 11. Data Privacy Officer
The growing number of data privacy laws has made data privacy officer (DPO) an essential role for many companies. To ensure businesses remain in compliance with regulations, DPOs collaborate with departments and leadership to design data protection strategies, develop best practices for defending personal information and assess a company’s digital assets to resolve any data-related privacy risks.
## 12. AI Ethics Officer
AI ethics officers develop guidelines and values that an organization can follow to design and deploy AI in a safe and legal manner. They translate these values into concrete actions by writing company policies and making sure all personnel comply with these rules.
Working with data engineers, data scientists, machine learning engineers and other team members, these officers can enforce using accurate data to avoid algorithmic bias, receiving consumer permission before accessing personal data and other best practices for handling data.
## Frequently Asked Questions
### What types of jobs are in data science?
Common types of jobs in data science include data scientist, data analyst and data engineer. In addition, newer roles like machine learning engineer, machine learning scientist and AI ethics officer address the increasing use of AI and machine learning in the industry.
### Is data science a good career?
Data science has a promising outlook. According to the Bureau of Labor Statistics, the number of data scientists employed is expected to increase by 36 percent between 2023 and 2033. More recent roles like data privacy officer, machine learning engineer and AI ethics officer offer even more opportunities for professionals looking to enter the data science field.
### Is data science a well-paid job?
Data science professionals often make six-figure salaries. According to the Bureau of Labor Statistics, the median annual salary of a data scientist is $108,020. However, a number of factors like experience and location can influence how much a data science professional earns.
|
7 months ago
|
Built In
|
data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAkGBwgHBgkIBwgKCgkLDRYPDQwMDRsUFRAWIB0iIiAdHx8kKDQsJCYxJx8fLT0tMTU3Ojo6Iys/RD84QzQ5OjcBCgoKDQwNGg8PGjclHyU3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3N//AABEIAEIAeAMBIgACEQEDEQH/xAAbAAACAwEBAQAAAAAAAAAAAAAFBgADBAIBB//EADcQAAIBAwIEAgYKAQUAAAAAAAECAwAEEQUhEjFBURNhBiJxgaHBFCMkMkJSYpGx8NEVFjOD4f/EABkBAAMBAQEAAAAAAAAAAAAAAAACAwEEBf/EACARAAICAgIDAQEAAAAAAAAAAAABAgMEERIhEzEyIhT/2gAMAwEAAhEDEQA/ANP+ntw9ai6ee1OS6Zn8NcHSmU7LkV70s041UK8dh+mvJ4Et1yy8xzxsKa008n8NWtocdxGVnQ4IxtsajLNGVQqWAhujwKOGT8poium/prS2iGxvPEE6LEpDZfn7+lMUVrGyK6nKsMipPMGVQtJp36aE69p/BcW5IOGUjAHUEGnyZIbdOJt/KherCG60+4guEUwzRshHLmO/T27VN5bG8YC0COK6kuOFgz8W+DttsceytWqeJZyRpGqHiXO4zXGlQmwmhFvCIkjHCkaqBkYxgD+4pnS9CjMseT14Bkgez/FTeTIbxoU0XUp/+KN9/wAkdXJoOpXJzKOEd5H+W9OisGUMpBUjII6ipmkd02bwQqt6MeFbPJJKWZRnhUYrzS4ooLhVGED+qWxnH700MzCRVCZVgSWzy5dKXNUtGtZ24R9QfunPLyNVqsctxZzXV6kpo13tkVSK8t45Aw3ZH+8Ou9Sq9N1pokWO7QsAMBlOSP8ANStXkj047DUJfpPQw8KjoK4d1HPbyrpjk1lkfif+BXGdZ14rdABXqzdwPdVPP+869xQBVfxRmZJuBSxGA2N/3pX9IvSTUtIvI7e0EHhNEHBePJzkg9fKmyRTJEy7kruBSP6ew5SzuAORZD78Efwa0DP/ALo1e7Us82nrkY4X2+Gaof0q1WE+GGtGwOaLxD980Mt9Oe4tvFSRAc4Cnr5Z6H4V7eabcR3JWG3lkVxxqsalio6g47ZxQB9B0e4F5psFzwIryrl+AYHFyPxFX24yHf8AEztk+wkD4CgvohK8WkeDcxyRMkjcIdCMg79u5NFLW8tmma1W4iNwGd/CDjjwWJzjnjegA1px+yKPyll9wYgfCtNDbJ2AlTOMSZH7D55rWkxB39YVgHToxuI3Aj4VDBiR62+MYPbY591dNFGwbjRTxjDZHMV0pBGRXpoAEXOgK5LW0nB+l9x+9SjdSrrIsS1sk6YMqUhhlSCO4NZ8fWcJ6mgMc8sLcUUhU+XWidpqCTuqy4SXoejVk6XH0JXkRl0+jZJEyc917iq81pmH2mIrLIpbbhC8SkDffsfP+a5CluLxovDI5MjcQPz+FROg5gHrZ7CsuqaJZapb+BdI/DxBgUbBB/prX4BIyjBh7cVz9avQ/wA1oAQeiun2MRa3e457BpAQD3G1eQ2v0OQyRB5AVxw7ZHv2ozKxkTgbageoamLK6aE28kgAB4lYdfKgDRBLGkMcbuFYKBh/VycedXMiSFHZFcocoxGeHzHaha65Gx4TaygHvitmmta3zOwt41ZCMhkBzmgDZZ+s8rD7mwHYkZz7eYrVXgGBhRtyr2sAugOQR2q2qoBgEmrOJc860C2pVbSqKlGmAIvtIKAvaksPyHn7u9CD2NOR5UE1uyHCbmMYYffA6+ddFV3fGRyXUJLcTvSNQaVktpclt+F89Mcj3orGSXfKsPWwCTnOw5UnLIUdXRsMpyD2NNVlcxSwiZAqmTdsd8AfKsvq4vaHos2uLLoz4iK7xlGP4W5irKwwz+HbICFQjmIyXUe8jNem8O+Crew1FRbL7NuAeYFIXp4WjOoNCPrBaMVA78Bpsa8OcYI99KXpLMJNRbi3BjAIp1UzHJGDxAZVYHZ0J+I/yaOejMi/SZ1zzjz+x/8AaVgTDHBGSTwALk+yiuhXHBfHfnGR/FUVDM5ji0pB6Vx4pzljjyoa1351U13506xxXMLm6AGBtXH0vfnQdrrzqo3fnVY44rmGmu/OpQBrvzqVX+czmPDE1nut4ZAd/VNSpXmQ9lpehMJO1G9FJ+hHc/fPyqVK9K74OKj7Nbms8vKpUrnidRkLN4yDiOMcs+VAdfP27/rHzqVKrERg/Udpzjunyq3Sz9tX2H+K9qVZChdie9VsT3qVKpEVlTE551SxPepUq0RWVknHOpUqVUD/2Q==
| 29 |
machine learning job market
|
2025-06-17 14:02:47
| null |
Preparing to Boost Your AI Skills in 2025
|
https://www.dice.com/career-advice/preparing-to-boost-your-ai-skills-in-2025
|
As we approach the end of the year, it's worth taking a moment to think about how artificial intelligence (AI) may impact your career in...
|
## Headline
Preparing to Boost Your AI Skills in 2025
## Subhead
None
## Author(s)
Nick Kolakowski
## Publication date
Nov 12, 2024
## Main text of the article
As we approach the end of the year, it’s worth taking a moment to think about how artificial intelligence (AI) may impact your career in 2025. Of course, AI is reshaping industries and job markets worldwide, and those who’ve mastered everything from model training to prompt engineering are pulling down high salaries.
Given that reality, it’s important to ensure your career plans for 2025 include strengthening of your AI skills. Over the next several years, we can expect a surge in AI-powered careers, particularly in the fields of data science, machine learning, and AI engineering.
The increasing complexity of modern businesses and the exponential growth of data have fueled the demand for AI specialists; no company wants to be left behind as AI becomes a huge player in tech stacks large and small.
Organizations across virtually every industry are leveraging AI to automate tasks, gain valuable insights from data, and enhance decision-making processes. As a result, the need for skilled professionals who can develop, implement, and manage AI solutions has skyrocketed. Here are some key AI-driven roles:
* Data Scientists: These professionals extract meaningful insights from large datasets. They use statistical techniques, machine learning algorithms, and data visualization tools to uncover patterns and trends.
* Machine Learning Engineers: Machine learning engineers design, develop, and deploy machine learning models. They collaborate with data scientists to translate theoretical models into practical applications.
* AI Engineers: AI engineers focus on building and maintaining AI systems. They work on tasks such as natural language processing, computer vision, and robotics.
If you haven’t started up a personal AI learning plan, the last few months of 2024 are an ideal time to do so. Consider the following strategies for building a strong foundation in data science and machine learning:
* Coursera: Two useful courses: Machine Learning Specialization by Andrew Ng, as well as Learn SQL Basics for Data Science Specialization by University of California, Davis.
* edX: MicroMasters Program in Statistics and Data Science by MITx.
* Udacity: AWS Machine Learning Engineer Nanodegree.
* Kaggle Learn: Offers free courses and tutorials on data science and machine learning concepts.
It’s also critical to gain hands-on experience with AI tools and platforms:
* Experiment with Python Libraries: Learn popular Python libraries like TensorFlow, PyTorch, and Scikit-learn to build and train machine learning models. Python is a preferred language for AI development, and mastering it can prove critical to your AI journey.
* Utilize Cloud-Based AI Platforms: Explore cloud platforms and AI/ML offerings like Google Cloud AI Platform, Amazon SageMaker, and Microsoft Azure Machine Learning to streamline AI development.
* Participate in AI Hackathons and Competitions: Engage in AI-related challenges to hone your skills and network with other AI enthusiasts.
If you have time, it’s important to engage with the broader tech community:
* Follow AI Blogs and News Outlets: Keep abreast of the latest advancements in AI by following industry blogs, news articles, and research papers.
* Attend AI Conferences and Workshops: Participate in industry conferences and workshops to learn from experts and network with other professionals.
* Engage in Online Communities: Join online forums and communities to discuss AI topics, ask questions, and collaborate with other AI enthusiasts.
Last but not least, don’t forget your “soft skills” such as empathy and communication, which can come in useful when dealing with teams trying to pick their way through the new, exciting, but also very complicated world of AI:
* Communication Skills: Effective communication is crucial for collaborating with diverse teams and presenting complex technical concepts to non-technical stakeholders.
* Problem-Solving Skills: AI professionals need to be adept at breaking down complex problems into smaller, more manageable ones and developing innovative solutions.
* Critical Thinking: The ability to analyze information critically and make informed decisions is essential for success in AI.
By proactively investing in your AI skills and staying updated with industry trends, you can position yourself as a valuable asset in the rapidly evolving AI landscape. Embrace the challenges and opportunities that AI presents, and you’ll be well-prepared to thrive in 2025.
|
7 months ago
|
Dice.com
|
data:image/jpeg;base64,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
| 30 |
machine learning job market
|
2025-06-17 14:02:47
| null |
These will be the most in-demand skills for developers in 2025
|
https://thenextweb.com/news/demand-skills-developers-2025
|
Artificial intelligence, automation, and machine learning are expected to be among the hottest functional areas companies are most likely to recruit talent for...
|
These will be the most in-demand skills for developers in 2025
Job seekers, take note
November 27, 2024 - 8:20 am
The Dutch labour market is experiencing a persistent talent shortage, according to a new salary survey report.
The research also flags that when it comes to hiring in 2025, artificial intelligence, automation, and machine learning are expected to be among the hottest functional areas companies are most likely to recruit talent for next year.
In line with this, a recent study by Indeed found that over the past year, job postings mentioning generative artificial intelligence (Gen AI) or related phrases have increased dramatically across the US and Europe.
In Germany, for example, there has been a 3.9x increase, France has seen a 6.8x increase in jobs seeking generative and aligned AI skills, and Ireland has seen a 4.6x increase.
### 5 software jobs to apply for now
* Cloud Software Developer, ChipSoft, Amsterdam
* Developer OutSystems, Bytes Recruitment, ZH
* DevOps Engineer ROO/RIO, Jobcatcher, Den Haag
* Principal Engineer, Yoast, Wijchen
* Outsystems Software Developer, Van Iperen, Westmaas
These aren’t standalone requests. “Data analytics was the sector where GenAI was most likely to be mentioned in job descriptions,” Indeed’s research states, adding “GenAI is also prominent in software development.”
Further intel from BairesDev is of particular interest to software developers who may be job-seeking in 2025. The company recently conducted research across more than 500 companies to understand what the most requested skills are from clients.
It found that machine learning was the fastest-growing skill, with a 383% growth rate, followed by Angular, Flutter, Kotlin, and Terraform.
Rising interest in AI is also causing an increase in the need for core technical skills, which are essential for building AI platforms and applications. Those include technologies like React, .NET, Python, Node, and Java.
The report also notes that this year there was a 77% rise in demand for skills related to data infrastructure.
“Over the past five years, we’ve seen a steady and sometimes steep increase in demand for developers who specialise in tools like Snowflake, MongoDB, and Databricks, amongst others,” says BairesDev’s CTO, Justice Erolin.
“If AI is a gold rush and you’re a developer, you might want to be selling the pickaxes. In this case, the pickaxes are skills related to data because a well-maintained data infrastructure is the engine that drives a successful AI product.”
## Skills gaps emerging
That’s all useful information for software professionals who are seeking career advancement in 2025. However, alongside these predictions is a warning about the urgent need for the right talent to satisfy growing demand, with a tech skills gap emerging as a blocker.
Worryingly, in the EU, the European Digital Economy and Society Index found that every third person lacks basic digital skills. According to The European Centre for the Development of Vocational Training (Cedefop), the future employment growth average in the Netherlands for the period 2022-2035 is estimated at 0.3%, but in terms of ICT roles, this figure is far larger at 12.9%.
However, this figure may be stymied by a perfect storm of factors that are contributing to the tech skills gap.
Rapid digital transformation is one factor, and as organisations come under pressure to modernise their operations to remain competitive, this leads to a significant increase in the need for tech talent.
Combine this with the fact that about 40% of adults working in Europe lack basic digital skills, and the fact that one-third of individuals employed in Europe do not possess adequate digital competencies, and the problem becomes more concerning.
This deficit starts early with fewer younger people pursuing STEM subjects at school or university, a problem that then knocks into the workforce, with a limited talent pool available to meet industry needs.
Despite these warnings, a recent report indicates that 35% of Dutch companies will expand their permanent roles in 2025, with 27% expecting to hire for flexible roles. When it comes to salaries, the report notes that “salary adjustments in 2025 will primarily be driven by recognising outstanding employee performance and retaining top talent.”
The outlook for those with the right skills looks broadly positive. The Netherlands Bureau for Economic Policy Analysis predicts a 15% increase in tech job openings by next year. And amid those concerns around the tech skills gap, another piece of good news is that 30% of software engineers in the Netherlands hold a Master’s degree in a specialised field related to software engineering.
Amsterdam, Eindhoven, Utrecht, and Rotterdam are just some of the cities where software developers can look for jobs. That’s thanks to the home-grown giants of Booking.com, ING bank, Unilever, Philips, and Heineken.
Additionally, many huge tech firms have locations in the Netherlands such as IBM, Microsoft, Netflix, and Amazon. If you’re a software engineer with the right skills, then the Dutch job market represents a rich playing field of opportunities across cloud computing, data science, cybersecurity, AI and machine learning, full-stack development, and more.
_Ready to find your next software job? Check out The House of Talent Job Board_
## Story by Kirstie McDermott
Published November 27, 2024 - 8:20 am
Author: Kirstie McDermott
|
6 months ago
|
The Next Web
|
data:image/jpeg;base64,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
| 32 |
machine learning job market
|
2025-06-17 14:02:47
| null |
The most sought-after AI skills in 2025’s job market, according to new study
|
https://www.londondaily.news/the-most-sought-after-ai-skills-in-2025s-job-market-according-to-new-study/
|
Experience working with 'recommendation systems' is the most lucrative AI skill in 2025, according to a new study.
|
The most sought-after AI skills in 2025’s job market, according to new study
By LDN Guest Post
05 March 2025
Experience working with ‘recommendation systems’ is the most lucrative AI skill in 2025, according to a new study.
The study, conducted by invoice software company Bookipi, analysed 39,139 unique jobs on Glassdoor that mentioned Artificial Intelligence (AI) and associated keywords, to reveal the job listings and skills with the highest average median salaries.
The research also identified the AI skills that appear in most job listings to reveal the most sought-after AI skills.
Jobs requiring experience working with ‘recommendation systems’ offer the highest median salaries, with a median salary of £154,000 across 185 listings.
AI job listings containing ‘Natural Language Understanding (NLU)’ as a requirement offer a median salary of £149,000 across 144 listings, making NLU the second most lucrative AI skill.
Experience using ‘CUDA’ closely follows in third place, with a median salary of £148,000 across 352 listings.
Machine Learning ‘Model Evaluation’ is the fourth most lucrative AI skill, with a median salary of £145,500 across 107 job listings.
Experience using ‘MXNet’ ranks fifth, with a median salary of £145,300 across 105 job listings.
Job adverts containing ‘Apache Flink’ offer a median salary of £145,100, making it the sixth most lucrative AI skill.
‘Speech recognition’ follows in seventh place, with a median salary of £142,200 across 117 listings.
‘Distributed systems’ and ‘deep learning’ rank eighth and ninth, offering median salaries of £140,120 and £138,900 respectively.
‘Reinforcement learning’ is the tenth most lucrative AI skill, with a median salary of £137,200 across all 461 job listings requiring this skill.
The study also reveals that experience with ‘machine learning’ is the most sought-after AI skill by far, with 16,760 job listings requiring this skill. The median salary for jobs in Machine Learning is £115,000.
Experience using ‘python’ is the second most sought-after AI skill, with 11,657 AI job adverts mentioning it. Python roles have a median salary of £108,300.
Experience with ‘data science’ ranks third, appearing in 8,369 AI job listings with a median salary of £110,700.
‘C++’ is the fourth most sought-after AI skill, with 7,741 job listings referencing experience using C++ and a median salary of £100,400.
‘Microsoft Excel’ appears in 6,593 job listings and is the fifth most sought-after skill for AI roles. Jobs mentioning Excel offer a median salary of £73,400.
Other highly sought-after experience was using ‘SQL, Java, DevOps, data analytics, and CI/CD’.
Tim Lee, CEO and founder of Bookipi, commented on the findings,
> “Interest in Artificial Intelligence (AI) has grown exponentially in the past decade, driven by employers integrating it into daily operations, the rise of innovative startups, and job seekers eager to break into the industry and enhance their skills.
> “This study provides insight into the highest-paying AI skills and the most sought-after skills that increase one’s chances of securing a position in the industry. It also offers valuable guidance on the most effective paths to upskilling for individuals looking to advance their careers in the AI industry.”
This information was provided by the software company, Bookipi.
|
3 months ago
|
London Daily News
|
data:image/jpeg;base64,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
| 33 |
machine learning job market
|
2025-06-17 14:02:47
| null |
Embracing artificial intelligence in the labour market: the case of statistics
|
https://www.nature.com/articles/s41599-024-03557-6
|
In an era marked by rapid advancements in artificial intelligence (AI), the dynamics of the labour market are undergoing significant...
|
## Embracing artificial intelligence in the labour market: the case of statistics
### Abstract
In an era marked by rapid advancements in artificial intelligence (AI), the dynamics of the labour market are undergoing significant transformation. A common concern amidst these changes is the potential obsolescence of traditional disciplines due to AI-driven productivity enhancements. This study delves into the evolving role and resilience of these disciplines within the AI-influenced labour market. Focusing on statistics as a representative field, we investigate its integration with AI and its interplay with other disciplines.
### Introduction
The advent of artificial intelligence (AI) technology, notably marked by the emergence of ChatGPT in 2022, heralded a paradigm shift in AI development, increasingly emphasizing practical applications. AI has rapidly ascended to prominence as a cutting-edge research field, with its applications permeating various sectors of the labour market.
### Authors
* Jin Liu
* Kaizhe Chen
* Wenjing Lyu
### Publication Date
30 August 2024
### Main Text
The extensive application of AI across the labour market can be attributed to its inherently interdisciplinary nature. Transcending traditional academic silos, AI integrates diverse disciplines. This interdisciplinary expansion is reshaping labour market trends, with industries traditionally aligned with specific disciplines now actively seeking AI expertise. Despite a plethora of research on AI’s impact on the workforce in the past decade, there is a notable gap in studies focusing on AI roles outside computer science. Our study pivots to statistics, a traditional discipline, to investigate its integration with AI from a labour market perspective.
Our choice of statistics is underpinned by three key rationales. First, statistics has been a cornerstone in AI’s foundation, providing essential theoretical underpinnings through tools like probability theory and inferential statistics. Additionally, the robust presence of statistics across various industries in the U.S. labour market offers a rich pool of recruitment samples for AI talents. Moreover, the widespread application of statistical methods and theories across disciplines such as mathematics, biology, economics, sociology, etc., positions statistics as a versatile field.
In light of these considerations, our study aims to bridge the gap in understanding the evolving demand for AI talent in traditional disciplines and provide concrete guidance for talent development and policymakers. Critical issues such as the interplay between AI and diverse disciplines, evolving demand for AI talent in the labour market, and the positioning of each discipline within the AI framework warrant comprehensive exploration. Our findings have significant implications for the future of work and the development of AI talent across various disciplines.
|
9 months ago
|
Nature
|
data:image/png;base64,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
| 34 |
machine learning job market
|
2025-06-17 14:02:47
| null |
Should You Still Learn to Code in an A.I. World?
|
https://www.nytimes.com/2024/11/24/business/computer-coding-boot-camps.html
|
When Florencio Rendon was laid off from his third construction job in three years, he said, “it was the straw that broke the camel's back.”.
|
When Florencio Rendon was laid off from his third construction job in three years, he said, “it was the straw that broke the camel’s back.”
He was 36, a father of two, and felt time was running out to find a career that would offer higher pay and more stability. “I’ve always been doing jobs that require physical labor,” he remembers thinking. “What if I start using my brain for once?”
An Army veteran, Mr. Rendon explored training programs he could fund using his military benefits. He landed on a coding boot camp.
At first, the intensive courses seemed intimidating. Mr. Rendon had gotten his high school equivalency diploma before joining the Army, and he had taken some college courses, but he didn’t consider himself book smart.
Still, he thought about his children, who are now 4 and 2, and reasoned, “If I can make this work, then I should at least give it a try.”
His application to a course run by the company Fullstack Academy was accepted, and he started classes in April 2023, with a grant for military veterans that covered the $13,000 tuition. While the material was challenging, he was pleasantly surprised to learn he could get the hang of it, and four months later, he graduated from an online program that he completed from his home in the Bronx.
The setback came after graduation: “Little did I know,” Mr. Rendon said of his new skills, “that’s not enough to get a job.”
Between the time Mr. Rendon applied for the coding boot camp and the time he graduated, what Mr. Rendon imagined as a “golden ticket” to a better life had expired. About 135,000 start-up and tech industry workers were laid off from their jobs, according to one count. At the same time, new artificial intelligence tools like ChatGPT, an online chatbot from OpenAI, which could be used as coding assistants, were quickly becoming mainstream, and the outlook for coding jobs was shifting.
Mr. Rendon says he didn’t land a single interview.
Coding boot camp graduates across the country are facing a similarly tough job market. In Philadelphia, Mal Durham, a lawyer who wanted to change careers, was about halfway through a part-time coding boot camp late last year when its organizers with the nonprofit Launchcode delivered disappointing news.
Editors’ Picks
Mysterious Ancient Humans Now Have a Face
Why Was Justin Bieber Fighting With Paparazzi?
Leonard Lauder, a Consummate New Yorker
“They said: ‘Here is what the hiring metrics look like. Things are down. The number of opportunities is down,’” she said. “It was really disconcerting.”
In Boston, Dan Pickett, the founder of a boot camp called Launch Academy, decided in May to pause his courses indefinitely because his job placement rates, once as high as 90 percent, had dwindled to below 60 percent.
“I loved what we were doing,” he said. “We served the market. We changed a lot of lives. The team didn’t want that to turn sour.”
Compared with five years ago, the number of active job postings for software developers has dropped 56 percent, according to data compiled by CompTIA. For inexperienced developers, the plunge is an even worse 67 percent.
“I would say this is the worst environment for entry-level jobs in tech, period, that I’ve seen in 25 years,” said Venky Ganesan, a partner at the venture capital firm Menlo Ventures.
For years, the career advice from everyone who mattered — the Apple chief executive Tim Cook, your mother — was “learn to code.” It felt like an immutable equation: Coding skills + hard work = job.
Now the math doesn’t look so simple.
Irresistible A.I.
Since their emergence in the mid-2010s, intensive courses in basic coding skills have been praised as a quick route to a high-paying career, especially for people who didn’t graduate from college. President Barack Obama made them part of his jobs initiative, nonprofits set them up to propel people of diverse backgrounds into tech careers, and universities from Harvard to Berkeley offered their own versions.
And they worked. In a 2020 survey of 3,000 boot camp graduates by CourseReport, 79 percent of respondents said the courses had helped them land a job in tech, with an average salary increase of 56 percent.
But the industry pulled back from hiring at the same time that new A.I. coding tools were starting to become mainstream. In 2022, Google’s A.I. team, DeepMind, reported that it had tested its A.I. model AlphaCode in coding competitions, and that it was as good as “a novice programmer with a few months to a year of training.”
It took a few more years, but the tools available to a typical programmer have since improved markedly. This September, OpenAI released a new version of ChatGPT. It computes answers in a way that is different from previous models and may be even better at writing code. Tools like AlphaCode from Google and Copilot from GitHub generate snippets of code for specific purposes, testing or optimizing existing code and finding bugs.
The real proof is among developers: About 60 percent of 65,000 developers surveyed in May by StackOverflow, a software developer community, said they had used A.I. coding tools this year.
Not everyone sees these developments as a death knell for coding jobs. Armando Solar-Lezama, who, as the leader of M.I.T.’s Computer Assisted Programming Group, spends his days thinking about how to bring more automation into coding, said A.I. tools still lacked a lot of the essential skills of even junior programmers. His research has shown, for example, how large language models like GPT-4 failed to truly understand the problems they were solving with code and made sometimes ridiculous mistakes.
“When you’re talking about more foundational skills, knowing how to reason about a piece of code, knowing how to track down a bug across a large system, those are things that the current models really don’t know how to do,” he said.
Image
Armando Solar-Lezama leans back on an simple office chair sitting on a pink carpet and in front of a bright yellow wall.
Armando Solar-Lezama of M.I.T. finds that A.I. coding tools still lack some essential skills of even junior programmers.Credit...Veasey Conway for The New York Times
Still, A.I. is changing how software is made. In one study, an A.I. Coding assistant made developers 20 percent more productive. Google’s chief executive, Sundar Pichai, said on a recent call with analysts that more than a quarter of the company’s new code was now generated by A.I., but reviewed and accepted by engineers.
As with any discussion about automation, there are two ways people tend to forecast the outcomes of this development. Mr. Solar-Lezama believes that A.I. tools are good news for programming careers. If coding becomes easier, he argues, we’ll just make more, better software. We’ll use it to solve problems that wouldn’t have been worth the hassle previously, and standards will skyrocket.
The other view: “I think it’s pretty grim,” said Zach Sims, a co-founder of Codecademy, an online coding tutorial company. He was talking specifically about the job prospects for coding boot camp graduates.
Hiring: GPT Monkeys
To be clear, both Mr. Solar-Lezama and Mr. Sims — and just about everyone working in technology whom I interviewed for this article — still think you should learn to code. But some see a parallel with long division: It’s good to understand how it works. It’s an arguably necessary exercise for learning more advanced mathematics. But on its own, it gets you only so far.
Matt Beane, an assistant professor of technology management at the University of California, Santa Barbara, is studying how the use of A.I. tools is already affecting entry-level coders at five large corporations across industries like banking and insurance.
“The phrase GPT monkey has come up repeatedly and independently,” he said. “They feel like they are relegated to small tasks that they just sort of churn through with the help of some A.I.-related tool.”
Sometimes, the new coders he is tracking don’t even get the opportunity to do that. Because A.I.-generated code is riddled with errors that are hard to spot without experience, senior developers sometimes find it easier to generate and edit it themselves than to let it fall to a junior programmer.
Mr. Beane observed the same conundrum with other skills in which work was being automated, like surgery and financial analysis: Beginners need more expertise to be useful, but getting the type of experience that would normally help build that expertise is becoming harder.
For a while, basic coding skills were a clear on-ramp to a tech career for people like Mr. Rendon who didn’t have a college education or a lot of experience. In the future, entry-level coders may need a broader range of skills and more training to be effective. They may have to understand more about how their code works within a broader system.
Strategizing around business problems is also becoming more important, said Stephanie Wernick Barker, the president of Mondo, a tech staffing and recruitment firm, “So college degrees are still king.”
In other words, the biggest change taking shape in software jobs may be not that A.I. replaces software engineers, but that it makes it more difficult to become one.
Stay Sharp. Keep Learning.
In the arena of cliché job advice, “learn to code” has been replaced by a call for “A.I. skills.”
M.I.T., Cornell, Northwestern, Columbia and other universities now lend their names to A.I. certificates. Fullstack Academy, the coding boot camp Mr. Rendon attended, recently started a 26-week A.I. and machine learning boot camp. And companies like Booz Allen and JPMorgan Chase are offering free A.I. courses to employees.
The most popular job titles specific to A.I. include “machine-learning engineer” and “artificial intelligence engineer,” according to CompTIA. Some skills listed in these job postings are “deploying and scaling machine-learning models” and “automating large language model training, versioning, monitoring and deployment processes.”
You can’t learn that quickly without a math or coding background.
Another category of “A.I. skill” feels more elusive. In a recent survey of more than 9,000 executives by Microsoft and LinkedIn, 66 percent said they wouldn’t hire someone without A.I. skills, but it’s unclear, exactly, what those skills look like.
It doesn’t help that the technology is moving quickly: Depending on whom you ask, we may be either a few years or many decades away from A.I. that can basically do anything the human brain can. When I asked Mr. Beane what we should be teaching young people to make them employable, he said: “You have to just stay sharp. You have to keep learning. Until further notice.”
Robert Wolcott, a venture investor who teaches business classes at both Northwestern’s Kellogg School of Management and the University of Chicago Booth School of Business, said he tells anxious parents that their children should study whatever they’re passionate about, even if it’s ancient architecture, but also take a class in statistics, accounting and computing.
“I think you learn to learn,” said Mr. Ganesan, the venture capitalist.
Mike Taylor, the chief technology officer of the global tech services company World Wide Technology, provided perhaps the most straightforward list: “problem solving skills,” “business acumen and values” and “clear and persuasive communication skills.”
Compared with “learn to code,” though, this is not easily actionable advice. For Mr. Rendon, the Fullstack Academy graduate, the dilemma isn’t an abstract one.
When he didn’t land any interviews for coding jobs, he went back to construction. The project finished, and he was laid off again.
When I first spoke with him in early August, he was pondering a choice. He was interviewing for a job with the Border Patrol, which would require moving his family out of New York. But he had also learned that his veterans’ benefits would provide him with enough housing assistance that he could go to college to study computer science.
College seemed like a good idea, “but what if I go this route and it doesn’t work out?” he asked.
Two months later, he had enrolled in the college classes. In his first computer science class, the professor went over the history of computers. It was a lot different from coding boot camp.
“This is more like general stuff that opens the possibility for other things,” he said.
|
4 months ago
|
The New York Times
|
data:image/jpeg;base64,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
| 35 |
machine learning job market
|
2025-06-17 14:02:47
| null |
60+ AI Interview Questions and Answers for 2025
|
https://www.simplilearn.com/artificial-intelligence-ai-interview-questions-and-answers-article
|
Top Artificial Intelligence Interview Questions: 1. What are the main types of AI? 2. How does machine learning differ from traditional...
|
## Headline
60+ AI Interview Questions and Answers
## Subhead
Artificial Intelligence interview questions cover various categories, each targeting different skill levels and areas of expertise.
## Author
Eshna Verma
## Publication date
May 12, 2025
## Main text
Artificial Intelligence has become the core of how companies work today. From healthcare to finance, many industries are hiring AI professionals to solve real problems and improve the way things are done. According to the World Economic Forum, about 170 million new jobs could be created by 2030 due to AI and automation. But even with all this demand, there’s still a big gap when it comes to skilled professionals.
In this article, you’ll find some of the most common and useful Artificial Intelligence interview questions. If you're preparing for a role in AI, this guide will help you understand what to expect and how to give better answers.
The main types of AI include Reactive Machines, Limited Memory, Theory of Mind, and Self-aware AI. Each represents increasing sophistication and capability, from simple reaction-based machines to systems capable of understanding and developing consciousness.
Machine learning algorithms learn from data, identifying patterns and making decisions with minimal human intervention. A Convolutional Neural Network (CNN) is an advanced deep learning algorithm designed to process input images. It employs learnable weights and biases to allocate significance to different features or objects within the image, enabling it to distinguish between them effectively.
GANs are machine learning frameworks designed by two networks: a generator that creates samples and a discriminator that evaluates them. The networks are trained concurrently to produce high-quality, synthetic (fake) outputs indistinguishable from real data.
Bias in machine learning refers to errors introduced in the model due to oversimplification, assumptions, or prejudices in the training data. It's important because it can lead to inaccurate predictions or decisions, particularly affecting fairness and ethical considerations.
Overfitting arises when a model becomes excessively attuned to the intricacies and noise within the training dataset, thereby diminishing its ability to generalize well to unseen data. Strategies to mitigate overfitting encompass simplifying the model, augmenting the training dataset, and employing regularization methods.
Classification is used to predict discrete responses, categorizing data into classes. Regression is used to predict continuous responses, forecasting numerical quantities.
Ensuring AI models are ethical and unbiased involves rigorous testing across diverse datasets, continuous monitoring for bias, incorporating ethical considerations into the AI development process, and transparency in how models make decisions.
Ethical concerns include privacy issues, automation-related job losses, decision-making transparency, AI biases, and the potential for misuse of AI technologies.
AI can significantly impact society, and its effects will be felt across various industries and aspects of life.
|
1 month ago
|
Simplilearn.com
|
data:image/jpeg;base64,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
| 36 |
machine learning job market
|
2025-06-17 14:02:47
| null |
What Top Tech Skills Should You Learn for 2025?
|
https://www.dice.com/career-advice/what-top-tech-skills-should-you-learn-for-2025
|
Ideally, tech professionals never stop learning. But what skills should you consider mastering in 2025 if you want to stay on top of the...
|
# What Top Tech Skills Should You Learn for 2025?
Nick Kolakowski
Nov 14, 2024
8 min read
Ideally, tech professionals never stop learning. But what skills should you consider mastering in 2025 if you want to stay on top of the latest career opportunities? Let’s dig into several promising options, including various branches of artificial intelligence (AI).
Before we begin, a quick caveat: we know your time is at a premium. While you might not have the hours and bandwidth to master something as complex as, say, machine learning in the next few months, it’s always useful to at least familiarize yourself with emerging technology. In addition, keep in mind that many companies are only too happy to pay for training; if you need the resources and time to pick up a new skill, see if your employer will pick up the bill for you.
### Machine Learning
Machine Learning (ML) is a subset of AI that enables systems to learn from data and make predictions or decisions without explicit programming. This technology is driving innovation in various sectors, from healthcare to finance, which makes it critical for many tech professionals in those arenas.
**Key ML Skills to Master:**
* **Supervised Learning:** This technique involves training models on labeled data. It's widely used for tasks like classification and regression.
* **Unsupervised Learning:** This approach deals with unlabeled data. It's useful for tasks like clustering and dimensionality reduction.
* **Reinforcement Learning:** This method involves training agents to make decisions by interacting with an environment. It's often applied to game AI and robotics.
* **Deep Learning:** A subset of ML that utilizes artificial neural networks to process complex data. It's driving breakthroughs in image and speech recognition.
**How You Apply ML Skills:**
* **Predictive Analytics:** Forecast future trends and behaviors based on historical data; this is obviously a huge thing in a range of industries.
* **Recommendation Systems:** Personalize user experiences by suggesting relevant products or content; you already see this at work on many shopping websites.
* **Fraud Detection:** Identify anomalies and fraudulent activities in financial transactions.
* **Medical Diagnosis:** Assist doctors in diagnosing diseases by analyzing medical images and patient records.
**Resources:**
* **Coursera:** Offers a wide range of ML courses, including specializations from top universities.
* **edX:** Provides ML courses from renowned institutions like MIT and Harvard.
* **Kaggle:** A platform for data science competitions, where you can practice ML skills and learn from others.
### Natural Language Processing (NLP)
NLP empowers machines to understand and process human language. As voice assistants and chatbots become more sophisticated, NLP skills are becoming increasingly valuable. Mastering NLP can help you land jobs at any number of companies investing enormous resources into AI-powered services and products.
**Key NLP Skills to Master:**
* **Text Classification:** Categorizing text into predefined classes.
* **Sentiment Analysis:** Determining the sentiment expressed in text (positive, negative, or neutral).
* **Text Generation:** Creating human-quality text, such as articles or poetry.
* **Machine Translation:** Translating text from one language to another.
**Applying NLP Skills:**
* **Chatbots and Virtual Assistants:** Building conversational AI systems.
* **Information Extraction:** Extracting specific information from text documents.
* **Text Summarization:** Condensing long texts into shorter summaries.
* **Language Modeling:** Generating text, such as code or scripts.
**Resources:**
* **Hugging Face:** A platform for sharing and experimenting with state-of-the-art NLP
### Computer Vision
Computer vision enables machines to interpret and understand visual information from the real world. It's revolutionizing industries like autonomous vehicles and surveillance—for example, computer vision allows self-driving cars to effectively navigate obstacles without crashing.
**Key Computer Vision Skills to Master:**
* **Image Classification:** Categorizing images based on their content.
* **Object Detection:** Identifying and locating objects within images.
* **Image Segmentation:** Dividing images into meaningful regions.
* **Image Generation:** Creating new images from scratch.
**Applying Computer Vision Skills:**
* **Self-Driving Cars:** Enabling vehicles to perceive their surroundings.
* **Medical Image Analysis:** Diagnosing diseases by analyzing medical images.
* **Facial Recognition:** Identifying individuals based on their facial features.
* **Augmented Reality:** Overlaying digital information on the real world.
**Resources:**
* **OpenCV:** An open-source computer vision library.
* **Udacity:** A nanodegree course in computer vision.
### Generative AI
Generative AI models are revolutionizing content creation, design, and problem-solving. Some companies are exploring how to use generative AI in customer-facing chatbots; others are asking their developer teams to rely on customized generative AI tools to generate code faster than ever before.
**Key Skills to Master:**
* **Prompt Engineering:** Crafting effective prompts to guide AI models.
* **Model Fine-tuning:** Adapting pre-trained models to specific tasks.
* **Coding:** For many tech professionals, using generative AI as part of their coding workflow will become critical.
* **Ethical Considerations:** Understanding the potential biases and misuse of generative AI.
**Resources:**
* **W3Schools:** A quick breakdown of how generative AI prompts work.
* **Google AI Essentials:** A lengthier tutorial into generative AI, with particular focus on prompt engineering.
### Cybersecurity
As cyber threats become increasingly sophisticated, cybersecurity professionals are in high demand. New data released by CyberSeek shows that there are only enough tech professionals to fill 83 percent of the available security jobs, down slightly from the 85 percent reported earlier this year.
**Key Skills to Master:**
* **Network Security:** Protecting network infrastructure from attacks.
* **Application Security:** Securing software applications.
* **Incident Response:** Responding to security breaches.
* **Digital Forensics:** Investigating cybercrimes.
**Resources:**
* **Google Cybersecurity Professional Certificate:** A good starting point for the basics.
* **CompTIA Security+:** A popular certification for entry-level cybersecurity professionals.
* **Offensive Security Certified Professional (OSCP):** A highly respected certification for penetration testing.
* **National Institute of Standards and Technology (NIST):** Provides cybersecurity frameworks and guidelines.
### Data Engineering
Data engineers are responsible for building and maintaining data pipelines to support data science and analytics initiatives. At a time when companies everywhere are embracing data analytics as a key way to gain crucial insights, that makes data engineers particularly valuable players.
**Key Skills to Master:**
* **Data Modeling:** Designing data structures.
* **Data Integration:** Combining data from various sources.
* **Data Warehousing:** Building data warehouses and data marts.
* **Cloud Data Engineering:** Leveraging cloud platforms like AWS, GCP, and Azure.
**Resources:**
* **Introduction to Data Engineering:** Exactly what it says on the tin.
* **Data Engineering with AWS on Udacity:** A data science and machine learning tutorial with a focus on data engineering in the context of AWS.
* **Introduction to dbt:** Lessons on a data transformation tool for building analytical data pipelines.
### Cloud Computing
Cloud computing has revolutionized the way businesses operate. Around the world, thousands of companies rely on some combination of Amazon Web Services (AWS), Google Cloud, Microsoft Azure, and other providers; in addition, innumerable organizations have also spun up more customized cloud products. Tech professionals with a solid grasp of public clouds and cloud engineering can secure high-paying jobs and interesting opportunities in a range of industries.
**Key Skills to Master:**
* **Infrastructure as Code (IaC):** Automating infrastructure provisioning.
* **Serverless Computing:** Building applications without managing servers.
* **Containerization:** Packaging applications into containers.
* **Cloud Security:** Protecting cloud-based resources.
**Resources:**
* **Hands-on Tutorials for AWS:** Amazon hosts key lessons in utilizing AWS.
* **Google Cloud Quickstarts and Tutorials:** Lessons in Google Cloud from the search-engine giant itself.
* **Microsoft Azure:** Here’s where you can learn the fundamentals of Azure via Microsoft’s learning website.
### Low-Code/No-Code Development
No- and low-code platforms empower individuals with limited coding experience to build applications; they also allow experienced developers to build software faster than ever before. AI has made no- and low-code platforms more powerful than ever, and learning how to use them can vastly increase your ability to code effectively.
**Key Skills to Master:**
* **Platform Proficiency:** Mastering low-code/no-code platforms like Bubble, Appian, and OutSystems.
* **Process Automation:** Automating repetitive tasks.
* **User Interface Design:** Creating user-friendly interfaces.
* **Data Integration:** Connecting data sources to applications.
**Resources:**
* **Codecademy:** A handy top-level breakdown of how no- and low-code tooling works.
By mastering these AI skills, you can position yourself for a successful career in the ever-evolving tech industry. Remember, continuous learning is key to staying ahead of the curve.
|
7 months ago
|
Dice.com
|
data:image/jpeg;base64,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
| 38 |
machine learning job market
|
2025-06-17 14:02:47
| null |
How machine learning is delivering next-generation talent acquisition processes
|
https://www.datasciencecentral.com/how-machine-learning-is-delivering-next-generation-talent-acquisition-processes/
|
The ongoing artificial intelligence boom has introduced cutting-edge machine learning (ML) processes into the world of talent acquisition.
|
How machine learning is delivering next-generation talent acquisition processes
By Edward Nick
September 18, 2024 at 9:20 am
The ongoing artificial intelligence boom has introduced cutting-edge machine learning (ML) processes into the world of talent acquisition. In offering unprecedented automation, qualitative data insights, and powerful screening tools, ML has the potential to revolutionize the reach of businesses when discovering the right hires.
According to a recent Mercer study, only 23% of enterprises have begun using AI in their vetting process to eliminate bias and optimize new hires, making now an excellent time to uncover talent ahead of competitors.
For enterprises seeking to optimize recruitment processes, ML can ramp up their hiring accuracy at scale. For international firms like IBM, the incorporation of AI processes like machine learning has prompted a 30% increase in the quality of candidates shortlisted. With this in mind, let’s take a deeper look at how the technology can help SMEs to improve their talent acquisition:
## Strategic candidate sourcing
Because machine learning algorithms operate on a heavily data-focused approach to sourcing, the technology can get to grips with historical employee data to identify patterns and traits associated with the role’s most exceptional talent and seek to uncover the same tangible and intangible skills with prospective new hires.
In seeking out successful characteristics, recruiters can source candidates who are more likely to be effective in their respective roles. ML algorithms can pinpoint these candidates to improve the quality of SME hires with a lower probability of churn taking place.
The sheer scale of ML means that this strategic candidate sourcing can expand into global talent pools for recruiting remote employees. Using natural language processing (NLP), algorithms can explore foreign job markets at a scale that surpasses human HR professionals to take talent acquisition global for enterprises.
## Predictive talent acquisition
Machine learning can also introduce an element of predictive talent acquisition to the recruitment process. This means that the technology can pinpoint potential candidates before they even take their first steps in the job market.
By monitoring their social media activity, online profiles, and studying their given career interests, ML can help recruiters identify passive candidates for opportunities to reach out or to build a talent database that can be monitored for future availability.
## Automated job advertising
With the help of generative AI, it’s also possible for machine learning to work alongside recruiters to build the most effective job advertising materials in a time-saving, fully autonomous manner.
Machine learning algorithms can tap into existing job advertisements that drive plenty of candidate traffic to analyze key terminology that can attract more applications. This can help to broaden your access to talented candidates and expand your search overseas with adaptive ads that can take into account cultural cues and different nuances that can impact engagement.
## Paving the way for inclusivity
Crucially, ML can work wonders in eliminating instances of human bias throughout the recruitment process.
According to a Greenhouse survey, 55% of HR professionals acknowledged that candidates who shared a similar background to their own could sway their hiring decisions. This is a particularly worrying statistic for SMEs that are seeking to recruit talented individuals who can help to improve their enterprise on an operational level.
Machine learning can help to eliminate these instances of bias throughout the recruitment process to help prioritize key skill matching and apply some level of objectivity over the more subjective viewpoints of recruiters.
## Finding a collaborative framework
The prospect of machine learning and other artificial intelligence technologies eventually replacing human recruiters is a major fear among those in the industry. According to SmartRecruiters research, 60% of employees are fearful that AI technology will automate them out of a job in the future.
However, the best implementation of machine learning within the recruitment landscape appears to be more collaborative, with recruiters helping to vet and oversee the accuracy of the framework in discovering the best hiring opportunities.
Relying on algorithms to screen candidates can lead to many qualified applicants being filtered out of the shortlisting process, and this means that maintaining a human eye to oversee proceedings is the best way for SMEs to ensure that they’re accessing the best level of talent at all times.
Finding the right balance between automation and that human touch is vital in driving a fully inclusive hiring process that ensures the best possible level of hires.
## Utilizing ML in the recruitment process
When uniting ML processes with your existing HR team, it’s possible to access a far greater range of talent on a global scale. From discovering and reaching out to top overseas prospects to accurately vetting candidates on the tangible and intangible qualities that have been a success within your roles in the past, machine learning can add efficiency and accuracy to talent acquisition for SMEs.
With the technology still in its fledgling stages, more enterprises can benefit from outmaneuvering rivals in discovering talents faster, ensuring a more sustainable scaling process and reduced risk of churn.
In adding ML as a collaborative innovation within your recruitment process, it’s possible to reach your potential faster and make the best possible hiring decisions on a consistent basis.
|
8 months ago
|
Data Science Central
|
data:image/jpeg;base64,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
| 39 |
machine learning job market
|
2025-06-17 14:02:47
| null |
Key Insights on 7 Data Science Roles, Responsibilities and Skills
|
https://und.edu/blog/data-science-roles-and-responsibilities.html
|
Discover the diverse roles in data science. Learn about key responsibilities and skills required for data scientists, analysts, engineers,...
|
## Headline
Key Insights on 7 Data Science Roles, Responsibilities and Skills
## Subhead
From personalized recommendations on streaming services to predictive text on our smartphones, data science is behind the scenes.
## Author(s)
University of North Dakota
## Publication date
August 14, 2024
## Main text of the article
This rapidly growing field encompasses various activities, such as data collection, processing, sophisticated modeling, and insightful analysis.
Read on to discover the different data science roles and responsibilities and see if any spark your interest and could be a potential career path for you.
When people think of data science professionals, they likely picture data scientists. However, that is just one role within the broader field of data science, which encompasses various roles essential for processing, analyzing, and deriving insights from data. For example, [data analytics differs from data science](https://und.edu/blog/data-science-vs-data-analytics.html) because it's a more specialized area within data science.
Below, we'll explore several of them to provide you with a comprehensive view of the field.
### Data Scientist
A data scientist leverages advanced statistical methods, machine learning algorithms, and technology to provide actionable intelligence that drives strategic business decisions. Key responsibilities include:
* Gathering and cleaning data and conducting exploratory data analysis.
* Developing models to forecast trends and behaviors using machine-learning techniques.
* Creating visual representations of data insights.
* Collaborating with marketing, finance, and operations teams to integrate data insights into business strategies.
#### Skills and Qualifications
To excel as a data scientist, professionals need the following skills:
* Proficiency in Python, R, or SAS for data analysis and model development.
* Experience with SQL for database querying.
* Understanding of statistical methods and their applications.
To become a data scientist, you typically need a bachelor's or master's degree in data science, computer science, statistics, mathematics, or a related field. Moreover, certifications such as [Certified Analytics Professional (CAP)](https://www.certifiedanalytics.org/), [Open Certified Data Scientist (Open CDS)](https://www.opengroup.org/certifications/certified-data-scientist-open-cds),[ Microsoft Certified Azure Data Scientist Associate](https://learn.microsoft.com/en-us/credentials/certifications/azure-data-scientist/?practice-assessment-type=certification), or other relevant data science and machine learning options can also be beneficial.
### Data Analyst
Data analysts examine datasets to identify trends and make informed business decisions. They play a significant role in transforming raw data into meaningful information. Some of their key responsibilities include:
* Gathering data from primary and secondary sources and interpreting it to identify trends.
* Applying statistical tools to analyze data and produce actionable insights.
* Designing data collection systems and strategies to optimize statistical efficiency and quality.
* Creating detailed reports and dashboards that summarize data insights for senior management.
#### Skills and Qualifications
To work as a data analyst, you need the following skills:
* Proficiency in Excel, SQL, and statistical software like SPSS or SAS.
* Experience with Tableau, Power BI, or similar tools for creating visual reports.
* Understanding of basic and advanced statistical techniques.
A bachelor's degree in mathematics, statistics, computer science, information management, or a related field is typically required. A master's degree is beneficial for advanced roles, whereas certification is not mandatory but can help further enhance career prospects.
### Data Engineer
A data engineer designs, constructs, installs, and maintains large-scale processing systems and databases. Some of the top responsibilities for professionals in this role include:
* Creating data pipelines to automate data collection, transformation, and loading (ETL).
* Developing scalable and efficient data architecture to support analytics and reporting needs.
* Providing the necessary infrastructure and tools for data scientists and analysts.
#### Skills and Qualifications
To succeed as a data engineer, one needs to have a specific skill set, which includes:
* Strong knowledge of SQL and NoSQL databases.
* Experience with technologies like Hadoop, Spark, and Kafka.
* Proficiency in Python, Java, or Scala.
* Ability to troubleshoot and resolve data-related issues.
For this role, you need a bachelor's degree in computer science, information technology, engineering, or a related field. Advanced degrees, such as a master's in data engineering or a related discipline, can further enhance job prospects and expertise. Additionally, coursework in database management, data warehousing, and big data technologies is highly beneficial.
### Data Architect
A data architect creates blueprints for data management systems to integrate, centralize, protect, and maintain data sources. Their day-to-day duties include:
* Creating the overall structure for data management, ensuring it aligns with business requirements.
* Planning and implementing strategies for effective data management and recovery.
* Aligning data architecture with the organization's strategic objectives.
* Working with IT and data teams to ensure the architecture supports their needs and capabilities.
#### Skills and Qualifications
Data architects need the following skills to fulfill their duties:
* Expertise in managing and designing relational and non-relational databases.
* Knowledge of cloud platforms like AWS, Azure, or Google Cloud.
* Proficiency with tools like Visio, erwin, or similar.
To become a data architect, you need a bachelor's degree in computer science, information technology, or a related field. Additionally, advanced degrees, such as a master's in data architecture or information systems, can significantly enhance career prospects and expertise.
### Machine Learning Engineer
A machine learning engineer designs and implements machine learning models and algorithms that leverage large data sets. Their key responsibilities encompass the following:
* Creating and fine-tuning machine learning models for tasks such as classification, regression, and clustering and deploying them into production environments.
* Running experiments to test model performance, tuning hyperparameters, and selecting appropriate algorithms to maximize accuracy and efficiency.
* Working closely with data scientists to understand data requirements and construct data pipelines that support model training and evaluation.
* Enhancing model accuracy, reducing latency, and ensuring models can handle large-scale data in real-time applications.
#### Skills and Qualifications
When it comes to their skillset, this role requires:
* Proficiency in Python and C++ for developing and optimizing algorithms.
* Expertise in TensorFlow, PyTorch, Keras, or similar frameworks for model development.
* Strong understanding of data structures, algorithms, and their application in machine learning.
A bachelor's degree in computer science, statistics, mathematics, or a related field is typically required for this role. Advanced degrees, such as a master's or Ph.D. in machine learning or artificial intelligence, as well as relevant coursework in algorithms, data structures, statistics, and machine learning, can significantly enhance career prospects and provide deeper expertise.
### Business Analyst
These professionals help intertwine IT and business by using data analytics in order to assess processes, determine requirements, and deliver data-driven recommendations. Some of their main duties include:
* Evaluating existing business processes to identify inefficiencies and suggest improvements.
* Working with stakeholders to gather detailed business requirements and documenting them.
* Using data analytics to provide insights that support strategic decision-making.
* Collaborating with various teams to implement recommended solutions, ensuring they meet business needs.
#### Skills and Qualifications
* Proficiency in Excel, SQL, and data visualization tools like Tableau and Power BI.
* Familiarity with BI tools and their applications in analyzing business performance.
* Skills in eliciting, documenting, and managing business requirements.
A bachelor's degree in business administration, information systems, or a related field is required for entry-level positions in this field. Moreover, while not mandatory, certifications such as[ Certified Business Analysis Professional (CBAP)](https://www.googleadservices.com/pagead/aclk?sa=L&ai=DChcSEwip2OD2-siGAxVFPwYAHc1ZASoYABADGgJ3cw&ase=2&gclid=EAIaIQobChMIqdjg9vrIhgMVRT8GAB3NWQEqEAAYASAAEgKPUvD_BwE&ei=jrViZt-yI4X97_UPrtq0qAM&ohost=www.google.com&cid=CAASJeRomBv14y-Kx6le3SMaEepOMtsxX9HoohfpzoYEhiUuLypCYvw&sig=AOD64_2D6vizyCw35crqBZv4-b7ZGKcVnA&q&sqi=2&nis=4&adurl&ved=2ahUKEwjfsdv2-siGAxWF_rsIHS4tDTUQ0Qx6BAgJEAE) or[ PMI Professional in Business Analysis (PMI-PBA)](https://www.pmi.org/certifications/business-analysis-pba) can enhance career prospects and credibility in the field.
### Product Manager
A product manager oversees the development and delivery of products, ensuring they meet customer needs and business goals. Other responsibilities include:
* Analyzing market trends, customer needs, and competitor products to inform product strategy.
* Working with design, engineering, marketing, and sales teams to develop and launch products.
* Overseeing the entire product lifecycle, from initial concept through development, launch, and post-launch analysis.
#### Skills and Qualifications
A product manager needs to master the following skills:
* Understanding methodologies like Agile, Scrum, or Kanban for managing product development.
* Experience with tools like JIRA, Trello, or Asana for tracking project progress.
* Ability to lead and motivate cross-functional teams.
Typically, the educational requirements include a bachelor's degree in business administration, marketing, or a similar field. Advanced degrees or an MBA can be advantageous. Additionally, certifications like Certified Scrum Product Owner (CSPO) or Product Management Certification by Pragmatic Institute can further validate skills and knowledge in the field.
## How to Become a Data Scientist
The exact path to [becoming a data scientist](https://und.edu/blog/how-to-become-a-data-scientist.html) can vary depending on the specific role you aim for within the data science domain. You might have to adjust your educational and professional journey according to the requirements and expectations of your targeted position.
Most data science positions typically require a [bachelor's degree in data science](https://und.edu/programs/data-science-bs/index.html), computer science, statistics, mathematics, or a related field. This foundational education equips you with the essential skills and knowledge. After graduation, seeking entry-level positions such as a data analyst or junior data scientist is beneficial. These roles offer practical experience and a deeper understanding of real-world data challenges, which are invaluable for your professional growth.
While not always necessary, a [master's degree in data science](https://und.edu/programs/data-science-ms/index.html), machine learning, artificial intelligence, or a related discipline can enhance your expertise and job prospects. Similarly, certifications can validate your skills and knowledge, making you more competitive in the job market.
## How Much Do Data Scientists Make?
Data science is a lucrative career. The median annual wage for data scientists is [$108,020](https://www.bls.gov/ooh/math/data-scientists.htm#tab-5). Salaries in this field can vary widely based on experience, location, and industry. The lowest 10 percent of data scientists earn around $61,070, while the highest 10 percent can make over $184,090. This wide range reflects the diverse opportunities and career paths in data science.
## Conclusion
Each role within data science plays a crucial part in transforming data into actionable insights. If you're considering a career in this exciting field, UND offers a range of undergraduate and graduate degree options tailored to equip you with the necessary skills and knowledge. As a founding member of the [Midwest Big Data Innovation Hub](https://blogs.und.edu/crc-news/2022/07/big-data-science-und-collaboration-continues/), UND also provides fantastic networking opportunities through collaborative projects and events. So, join us at UND and be part of a community shaping the future of data science. Ready to turn data into discovery? Your journey starts here.
## FAQs
### Are data scientists in demand?
Yes, data scientists are in high demand, with a 35% projected job growth from 2022 to 2032, much faster than the average for all occupations.
### What makes a good data scientist?
A good data scientist possesses strong analytical skills, proficiency in programming languages like Python or R, expertise in statistical methods, and the ability to communicate insights effectively to stakeholders.
### Who does a data scientist work with?
Data scientists typically collaborate with cross-functional teams, including data analysts, data engineers, machine learning engineers, product managers, and business stakeholders.
### Does a data scientist code?
Yes, data scientists frequently code, primarily using languages such as Python, R, and SQL to manipulate data, build models, and perform analyses.
|
10 months ago
|
University of North Dakota - Grand Forks
|
data:image/jpeg;base64,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
| 40 |
machine learning job market
|
2025-06-17 14:02:47
| null |
Demand for Specialized Tech Talent in Artificial Intelligence Surges Across North America
|
https://www.cbre.com/press-releases/demand-for-specialized-tech-talent-in-artificial-intelligence-surges-across-north-america
|
Demand for tech workers in artificial intelligence (AI) increased, despite slower tech talent job growth overall last year, according to CBRE's annual Scoring...
|
Demand for Specialized Tech Talent in Artificial Intelligence Surges Across North America
Non-tech industries hired more tech talent workers as the tech industry slowed hiring
September 4, 2024
Kris Hudson
Corporate Communications
Demand for tech workers in artificial intelligence (AI) increased, despite slower tech talent job growth overall last year, according to CBRE’s annual Scoring Tech Talent report. For the first time in the report’s 11-year history, non-tech industries hired more tech talent workers than the tech industry.
U.S. tech talent employment grew by 3.6% in 2023, down from 7.3% in 2022. The overall slowdown was accompanied by a shift in hiring momentum to non-tech employers. Professional & Business Services added the most tech talent jobs last year (49,760), followed by the Transportation, Warehousing & Wholesale sector (45,390). Both significantly outpaced the high-tech industry’s growth (28,978). As tech companies shifted their focus to AI, they listed fewer but more specialized job openings. That in turn led to increased hiring of software developers and programmers.
In a new analysis this year, CBRE found that AI’s share of total U.S. tech talent job postings increased to 14.3% in June 2024, up from 8.8% in late 2019, based on Lightcast data. Software developers and programmers comprise most of these AI roles, accounting for 72% of all new tech talent jobs in 2023. The tech industry hired the most software engineers in 2023 (56,548), while Professional & Business Services hired the most computer support and manager roles (20,760).
The San Francisco Bay Area, Seattle and New York Metro claim the largest clusters for AI talent, accounting for 44% of the total 285,235 AI tech jobs in the U.S. In Canada, Toronto, Vancouver and Montreal are the leading AI markets, accounting for 60% of the country’s total 41,374 AI tech jobs.
AI Jobs by Market
Market | AI Talent Pool
---|---
San Francisco Bay Area | 61,497
Seattle | 35,107
New York Metro | 27,591
Los Angeles/Orange County | 13,605
Boston | 12,968
Toronto | 11,984
Washington, DC | 11,654
Dallas/Fort Worth | 8,397
Austin | 7,396
Chicago | 7,248
Vancouver | 6,880
Atlanta | 6,249
Strong demand for AI software and hardware developers has resulted in higher wages in top tech talent markets. Tech industry wages are 17% higher than the U.S. average and software developers at tech companies saw wages increase 12% year-over-year, despite layoffs in the sector. The San Francisco Bay Area, Seattle and New York Metro had the highest average annual tech wages in 2023, followed by Washington, D.C., Boston and San Diego.
“Increased demand for specialized skill sets in artificial intelligence has fueled tech talent job growth across all sectors. We anticipate more tech hiring to take place this year and into 2025 as companies further develop and adopt this technology,” said Colin Yasukochi, executive director of CBRE’s Tech Insights Center.
CBRE’s annual Scoring Tech Talent report covers 75 North American markets, ranks the top 50 tech markets in the U.S. and Canada and outlines tech talent labor market trends amid economic shifts and remote hiring. Overall, the U.S. and Canada added 231,400 net tech talent jobs in 2023 across established hubs such as the San Francisco Bay Area, New York, Seattle and Vancouver as well as smaller markets like Huntsville, Colorado Springs and Canada’s Waterloo Region.
The top five ranked tech talent markets are the San Francisco Bay Area, Seattle, New York Metro, Toronto and Austin. Toronto moved up one spot to fourth, Austin rose one spot to fifth, while Washington, D.C. fell two spots to sixth place. Salt Lake City, Raleigh-Durham, San Diego and Detroit improved rank the most for markets in the top 25.
Top Tech Talent Markets Overall
Market | Composite Score
---|---
San Francisco Bay Area | 83.2
Seattle | 72.1
New York Metro | 67.3
Toronto | 66.9
Austin | 66.0
Washington, DC | 65.2
Boston | 63.7
Denver | 62.3
Dallas/Fort Worth | 61.1
Ottawa | 57.1
Among Canadian markets, Toronto maintained the lead in total tech talent and added the most jobs between 2018-2023 (95,900). The fastest growing Canadian markets were Calgary (78.1% growth of tech talent occupations from 2018-2023) and Ottawa (51.7%).
CBRE also analyzed emerging markets in Latin America where tech talent grew 54% between 2018-2023, triple the U.S. average. The three largest Latin American tech talent markets were Mexico City, São Paulo and Santiago. The fastest growing was Monterrey, Mexico.
Real Estate Considerations
Total operating costs for tech companies increased in 2023 due to higher average wages, even as many organizations reduced their real estate footprint. The total annual labor and real estate cost for a 500-person tech company occupying 60,000 sq. ft. of office space ranged from $35 million in Quebec City to $81 million in the San Francisco Bay Area.
Diversity & Demographics
CBRE also found diversity is improving slowly. The share of tech degree graduates from underrepresented groups (25.7%) exceeded existing workers (23.1%), as did female tech degree graduates (26.3%) compared with existing workers (24.4%). This is a positive indicator of future tech talent diversity.
Eighteen of the top 50 tech markets saw the total number of residents in their 30s increase by more than 10% since 2017. Meanwhile, Toronto, Austin, Salt Lake City and the Waterloo Region had the highest total concentration of residents in their 20s.
|
9 months ago
|
CBRE
|
data:image/jpeg;base64,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
| 41 |
machine learning job market
|
2025-06-17 14:02:47
| null |
Master's Degree In Machine Learning - Unlocking Your Potential in 2025
|
https://www.simplilearn.com/unlocking-potential-with-masters-degree-in-machine-learning-article
|
A master's degree in Machine Learning is designed for students seeking various career opportunities.
|
Master's Degree In Machine Learning - Unlocking Your Potential in 2025
By Simplilearn
Machine learning and Artificial Intelligence (AI) go hand in hand in the present scenario. As new technologies are emerging rapidly, Artificial Intelligence and Machine Learning are being more popularized over the internet. From computer software to factory machines, machine learning is unknowingly becoming an integral part of the everyday lives of the people of the 21st century.
Machine Learning and Artificial intelligence are the new future of technology; therefore, more professionals are being attracted by this industry. Also, the Machine Learning industry offers a plethora of work opportunities that are secure and high-paid.
What Is Machine Learning and Its Importance in Today’s World?
A branch of Artificial Intelligence, Machine Learning is an integral part of Computer Science that focuses on algorithms, programming, data visualization tools, and a few latest technologies. Being a subset of Artificial Intelligence, Machine Learning emphasizes interpreting and analyzing data patterns to help with reasoning and decision-making.
Machine Learning makes enterprising business patterns and customer behaviors easier. Implementing machine learning can help mitigate risks, improve the quality and efficiency of work, evaluate costs, detect system threats, enhance cybersecurity, and much more. In other words, machine learning can adapt to critical solutions and help bring out complex solutions.
Machine learning uses statistical methods and algorithms to create data-driven models. Not just for businesses, machine learning can become a part of any field and purpose. Today, it is primarily implemented in video games, cybersecurity, self-driven cars, etc.
What Does a Master’s Degree in Machine Learning Entails?
A master’s degree in Machine Learning is designed for students seeking various career opportunities. Machine Learning is a branch of Artificial Intelligence (AI); hence, it explores critical sections of coding, data mining, and algorithms. The main focus of a master’s degree is to teach students about the functions and importance of algorithms, mathematics, statistics, and data in machine learning and artificial intelligence.
In a master’s degree, students are exposed to crucial topics such as deep learning, linguistics, robotics, complex programming for machines, natural language processing (NLP), etc. The course covers both the theoretical and practical sides of machine learning, which is essential for beginning a career in the respective fields.
Benefits of a Master’s Degree in Machine Learning
Higher degrees are designed to enhance students' knowledge and practical skills to help them decide on and build a career path. Similarly, the master’s degree program in Machine Learning designed by Simplilearn focuses on building in-depth theoretical knowledge and specialized skills so that a student can become a successful professional.
There are many perks of pursuing a master’s degree in machine learning, but the most significant ones to mention are:
* Enhancing knowledge in the fields of machine learning, artificial intelligence, and computer science as a whole.
* Getting advanced hands-on skills like learning to implement high-level algorithms.
* In-depth theoretical knowledge.
* Learning how to implement practical skills in building real-life statistical and data-driven models.
* A chance to get established in the fastest-growing field and avail several career opportunities.
How a Master’s Degree in Machine Learning Can Enhance Job Prospects and Salary Potential?
A plethora of career opportunities are available right after completing a graduate degree. However, according to recent statistical surveys on recruitment, studies have shown that the highest-paying companies mostly prefer post-graduate students over graduates.
The main reason behind this choice is that a post-graduate student already has in-depth knowledge about the career filed and has also acquired the specialised skills necessary to establish a career. Therefore, there is no need to provide them with basic training and waste time; they are readily available for work.
Thus, when students pursue a master’s degree, they unknowingly open doors to career-enhancing prospects and more income potential. Obviously, students pursuing master’s degrees in machine learning are highly-paid and secure higher designations in renowned multinational companies than regular graduates.
Comparison of Online vs. In-Person Programs
Ever since the pandemic happened, the world has witnessed the culture of working and studying from home. Before the pandemic, people hardly imagined that their workspace or classrooms could be shifted at home. But surprisingly, working from home and online classes have proven very efficient since people got to perform in the comfort of their homes.
So, when comparing online and offline programs, the answer is known by all; both options are great if a student is comfortable with them. After the pandemic, work-from-home opportunities and online classrooms have become more popularized because people have learned to prioritize their health and families.
Online programs today are specially designed for students or working professionals who have a packed-up schedule and cannot visit campuses in person all the time. They wish to pursue their degrees at their pace without stressing out much about not having time to study.
Whereas in-person programs are a great choice for students who wish to gain many practical skills in integrated labs and begin their careers immediately.
Also, when it comes to course expenses, many times, online courses have proven to be cheaper than in-person programs. Hence, it is a pocket-friendly option for students with financial issues.
Why Choose Simplilearn for Your Machine Learning Career?
Simplilearn is a leading online platform that trains students to become the most skillful professionals. Each of Simplilearn’s programs is certified and is often a collaboration with world-renowned universities and institutions such as California Tech, IBM, IIT Kanpur, Purdue University, and many others.
Simplilearn’s certified machine learning courses are designed according to the latest trends and industry standards. They cover the latest technologies and skills to make students industry-ready. Since the machine learning programs are a wonderful blend of theory and practical, students enjoy a hands-on experience as they prepare for their desired careers.
Simplilearn Offers a Flexible and Convenient Online Learning Platform
Simplilearn’s online programs are highly recognized for their flexibility. Each online program allows students to pursue a course at their pace and obtain a professional certificate after completion. These programs are very convenient, career-oriented, and can be pursued anywhere, anytime, on any device.
Students also enjoy live sessions, practice tests, interactive video sessions, and integrated lab facilities while pursuing online courses.
Simplilearn Offers Expert Faculty and Industry Partnerships
The faculty of Simplilearn’s programs are exceptional. Since most of Simplilearn’s courses are a collaboration with world-renowned institutions, the faculties are highly-experienced and prove to be the best career guide.
Simplilearn also collaborates with top-notch organizations like IBM, so it boasts the best industry partnerships. Most courses offer job assistance to students after completing their certifications. Simplilearn also highlights students and makes them visible in the competitive job markets.
Simplilearn’s Career Services and Job Placement Support
Simplilearn is renowned for preparing students for their desired careers by providing adequate knowledge and training. Simplilearn boasts of having built careers of more than 1 million students worldwide with its certified courses and world-class faculties.
Simplilearn’s online learning platform also offers guidance after completing a course. The JobAssit feature of Simplilearn is unique as it helps students figure out the type of jobs they will be fit for. Job assistance helps students land the highest-paying offers in recognized companies worldwide.
Artificial Intelligence Engineer
There is a huge demand for Artificial Engineers these days. To become one and pursue an Artificial Intelligence Engineer course on Simplilearn, you must have the required qualities and fulfill the eligibility criteria.
* Eligibility
1. A bachelor's degree with an average of 50% or higher marks.
2. Basic understanding of programming concepts and mathematics.
* Fees- INR 54,000.
* Course Duration- 11 months.
* Top Careers and Expected Salary
AI Engineer, Data Scientist, Machine Learning Engineer, Data Mining and Analysis, and Business Intelligence (BI) Developer.
The minimum expected salary is INR 8 lakhs in India.
* Pros and Cons
#### Pros
1. Masterclass by IBM experts
2. Ask me anything during sessions with IBM leadership
3. Hackathons conducted by IBM
4. Industry-recognized course completion certificate from Simplilearn
#### Cons
Very high-level course for beginners.
Professional Certificate Program in AI and Machine Learning
As a professional wanting to enhance or switch career paths, you need a professional certificate program in AI And Machine Learning to fulfill your dreams.
* Eligibility
1. Preferably 2+ years of formal work experience.
2. A bachelor's degree with an average of 50 percent or higher marks.
3. Prior knowledge or experience in programming and mathematics.
* Fees- INR 1,53,400.
* Course Duration- 11 months.
* Top Careers and Expected Salary
AI Engineer, Data Scientist, Machine Learning Engineer, Data Mining and Analysis, and Business Intelligence (BI) Developer.
Expected minimum salary- INR 8 lakhs.
* Pros and Cons
#### Pros
1. Masterclasses delivered by distinguished IIT Kanpur faculty
2. Program certificate from E&IC...
|
1 month ago
|
Simplilearn.com
|
data:image/jpeg;base64,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
| 42 |
machine learning job market
|
2025-06-17 14:02:47
| null |
Essential Skills for IT Professionals in the AI Era
|
https://spectrum.ieee.org/it-professionals-in-ai-era
|
Artificial Intelligence is transforming industries worldwide, creating new opportunities in health care, finance, customer service,...
|
Essential Skills for IT Professionals in the AI Era
Remain competitive by learning data analysis and bolstering soft skills
Kumar Singirikonda
27 Aug 2024
5 min read
Artificial Intelligence is transforming industries worldwide, creating new opportunities in health care, finance, customer service, and other disciplines. But the ascendance of AI raises concerns about job displacement, especially as the technology might automate tasks traditionally done by humans.
Jobs that involve data entry, basic coding, and routine system maintenance are at risk of being eliminated—which might worry new IT professionals. AI also creates new opportunities for workers, however, such as developing and maintaining new systems, data analysis, and cybersecurity. If IT professionals enhance their skills in areas such as machine learning, natural language processing, and automation, they can remain competitive as the job market evolves.
Here are some skills IT professionals need to stay relevant, as well as advice on how to thrive and opportunities for growth in the industry.
Boosting your knowledge
One area you should become proficient in is machine learning algorithms.
I recommend learning the fundamentals such as the basics of programming and mathematics. Look for programs that require you to participate in projects and assignments that apply what you’ve learned.
Understanding data is also crucial. Learn how to collect, analyze, and interpret data using Python, R, SQL, and similar tools.
Recommended resources:
* Coursera is an online learning platform that provides classes in a large number of subjects. I suggest the introductory course on machine learning taught by Andrew Ng, a computer science adjunct professor at Stanford.
* EdX, another online platform, offers a variety of courses including ones in computer science, engineering, and business. I recommend taking the Data Science MicroMasters program, which provides a comprehensive foundation of the field, including statistical and computational tools for data analysis.
* Udacity, which is known for its nanodegree programs, offers practical, project-based tech learning experiences. Nanodegrees are certified online educational programs that teach you specialized skills in less time than traditional bachelor’s and master’s degrees. Consider the AI Programming With Python nanodegree, which covers the essential skills needed for building AI applications using programming languages such as Python, NumPy, and PyTorch.
* Fast.ai offers free courses on deep learning. Start with the Practical Deep Learning for Coders program designed for beginners. It covers state-of-the-art techniques and tools.
* Google’s free Machine Learning Crash Course provides a practical introduction to the topic using TensorFlow APIs, which are open-source machine learning libraries. The course includes exercises, interactive visualizations, and instructional videos.
Key insights into AI ethics
Understanding the ethical considerations surrounding AI technologies is crucial. Courses on AI ethics and policy provide important insights into ethical implications, government regulations, stakeholder perspectives, and AI’s potential societal, economic, and cultural impacts.
I recommend reviewing case studies to learn from real-world examples and to get a grasp of the complexities surrounding ethical decision-making. Some AI courses explore best practices adopted by organizations to mitigate risks.
It’s also critical to learn how to conduct impact assessments to evaluate the potential societal, economic, and cultural influence of AI technologies before they’re deployed. A proactive approach can help identify and address ethical issues early on.
The importance of soft skills
AI can handle data, but humans are needed for creative and strategic thinking. AI professionals need to develop their critical-thinking and problem-solving skills, as they are areas where human intelligence excels. By honing your skills, you can complement AI technology and ensure better decision-making.
Working with AI involves interdisciplinary teams, and that requires strong communication skills to collaborate effectively with diverse team members for a broader range of perspectives and innovative solutions.
The ability to communicate clearly and concisely is also crucial when explaining complex concepts or ideas to others, whether in presentations or defining a new concept in code.
Navigating the new job market
Joining professional networks and AI communities can help you connect with potential employers. Consider joining LinkedIn and GitHub, creating a personal website, and writing a blog.
Share your portfolio on LinkedIn and other professional networks to access a wider audience and to connect with potential employers.
Create a strong online presence by sharing information about your projects, writing articles, and participating in discussions about AI and related technologies. Not only does it allow you to showcase your skills and expertise, it also could attract the attention of recruiters and hiring managers.
Another way to show off your technical skills is to develop a portfolio of your AI projects, code samples, and relevant work experience. A well-curated portfolio demonstrates your capabilities to potential employers. You should update it regularly with new projects and accomplishments. If you don’t have much professional AI experience, create personal projects and tasks to showcase your abilities.
Many successful engineers attribute their achievements to the guidance of mentors. Seeking out experienced mentors can provide invaluable guidance, feedback, and industry insights. Building relationships with more seasoned engineers offers networking opportunities, and it helps you stay updated on industry trends and advancements.
Engaging with peers through study groups and professional networks is beneficial as well. It allows you to gain different perspectives and collaborate on solving problems. Connecting with other IT professionals helps deepen your understanding of AI and technology concepts while building a robust support system within the industry.
How to thrive in the AI era
The tech industry evolves rapidly, so be open to learning new skills and adapting to changes in the job market. It can demonstrate your ability to overcome challenges and stay relevant. By continuously improving your skills, you are advertising your dedication to the field and you might stand out to potential employers.
Technical interviews for IT professionals often include coding tests, AI algorithms, and machine learning concepts. You can hone your skills at online coding platforms such as LeetCode and HackerRank. The platforms can’t teach you how to code, but they can provide a place to work on and test your code.
Combining your technical skills with knowledge of other fields such as business, health care, and finance is also advised. An interdisciplinary approach can open the door to more jobs.
Outlook and opportunities
To advance in the AI field, stay informed about its applications in emerging areas such as quantum computing, biotechnology, and smart cities. Understanding such fields can give you a competitive edge and open growth opportunities.
Step outside your comfort zone by participating in AI projects aimed at addressing social issues such as climate change, health care access, and education. By applying AI for social good, you not only contribute positively to society; you also gain valuable experience and recognition.
Having expertise in AI offers numerous opportunities for entrepreneurship. You might want to consider starting your own venture or joining innovative startups leveraging AI to solve specific problems. By being part of the entrepreneurial ecosystem, you can contribute to groundbreaking solutions and potentially create a lasting impact on society. Look for funding opportunities, incubators, and accelerators that support AI-driven startups.
Practical experience is invaluable. Seek out internships or work on projects that involve AI and machine learning. Hands-on experience enhances your technical skills and provides you with practical, real-world work to showcase in job interviews. Plus, internships can lead to valuable connections and even job opportunities.
Another way to gain practical experience is by contributing to open-source AI projects. It not only would improve your skills but also would help you build your portfolio. By collaborating with other developers on open-source projects, you can gain valuable insights and feedback to further enhance your knowledge in AI and machine learning.
|
9 months ago
|
IEEE Spectrum
|
data:image/jpeg;base64,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
| 43 |
machine learning job market
|
2025-06-17 14:02:47
| null |
AI could boost UK job market by 610,000
|
https://www.techradar.com/pro/ai-could-boost-uk-job-market-by-610-000
|
According to new research from ServiceNow, the UK job market could be set to undergo a major transformation with the creation of 610,000 new...
|
AI could boost UK job market by 610,000
By Craig Hale published September 6, 2024
On the whole, AI looks to have a positive impact on the jobs market
When you purchase through links on our site, we may earn an affiliate commission.
According to new research from ServiceNow, the UK job market could be set to undergo a major transformation with the creation of 610,000 new roles by 2028 thanks to advancements in AI.
The research, based on the analysis of data from various work markets via machine learning, explores the effects of artificial intelligence across different sectors.
ServiceNow reveals the technology’s impact on the technology, media and telecomms sectors, which will collectively account for an estimated 320,000 roles by 2029.
AI to have major effect on UK jobs market
Moreover, education (190,000) and healthcare (90,000) could be set for added roles.
Alarmingly, the study depicts artificial intelligence’s negative effects on the job market too, which many workers seemingly facing a threat from the technology. The retail sector could see the loss of 240,000 jobs by 2028, with manufacturing (90,000) and financial services (50,000) also losing out considerably.
Damian Stirrett, Group VP & GM UK & Ireland, said: “Like other technologies before it, on one hand AI will disrupt the workforce, and on the other, create a net-positive gain in employment.”
Besides the creation of new jobs, ServiceNow’s report highlights the productivity benefits that existing workers could unlock. In the tech sector, the company estimates that the average system administrator could gain up to 12.6 hours weekly.
These emerging technologies will need implementation and maintenance, which is why a further 400,000 roles are expected to be created. Those looking to upskill in anticipation of new role creation should consider getting into computer and information system management, development, and data engineering.
On the whole, ServiceNow believes that the global workforce will mostly grow, except for ageing populations such as Germany and Japan. By tackling the perception that AI could be taking human jobs, the report reveals emerging markets and a shift in workforces, rather than eliminating workers entirely.
|
9 months ago
|
TechRadar
|
data:image/jpeg;base64,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
| 45 |
machine learning job market
|
2025-06-17 14:02:47
| null |
Best AI ML Bootcamp 2025: Top Programs for Career Growth
|
https://www.simplilearn.com/top-ai-ml-bootcamp-article
|
AI and machine learning are rapidly becoming a big part of how businesses and industries operate. With the AI market expected to reach $1.01...
|
Top AI and Machine Learning Bootcamps for 2025
By Nikita Duggal
Share This Article:
Last updated on Apr 22, 2025
AI and machine learning are rapidly becoming a big part of how businesses and industries operate. With the AI market expected to reach $1.01 trillion by 2030, there’s a growing need for skilled professionals. To keep up with this demand, it’s essential to get the right training. Whether you want to level up in your current job or start fresh in AI, enrolling in an AI bootcamp or machine learning bootcamp can equip you with the skills and experience needed to thrive in this fast-growing field.
In this article, we’ll explore some of the top AI and ML programs for 2025. We’ll also walk you through how to choose the right program, so you can start your AI/ML journey with the best foundation possible.
Become a AI & Machine Learning Professional
$267 billion Expected global AI market value by 2027
37.3% Projected CAGR of the global AI market from 2023-2030
$15.7 trillion Expected total contribution of AI to the global economy by 2030
Top 3 AI and ML Programs to Consider in 2025
Here are the top three AI bootcamp and machine learning bootcamp programs to check out in 2025:
1. Advanced Generative AI and Machine Learning Program
If you are looking at making it big in the fast-growing field of generative AI, then this Advanced Generative AI and Machine Learning Program by IIT Guwahati is worth the consideration. It provides the perfect medium to learn through a hands-on experiential journey while bridging the gap between basic concepts to state-of-the-art large language models, deep learning, and generative AI tools.
The course is structured to help learners apply AI in real-world business and tech scenarios, making it ideal for working professionals looking to lead innovation in their organizations.
Features:
Delivered in partnership with IIT Guwahati.
Covers generative AI, LLMs, deep learning, NLP, and more.
Hands-on capstone projects and industry case studies.
Live sessions by IITG faculty and industry experts.
Duration: 11 months (recommended 5–10 hours/week).
2. Professional Certificate in AI and Machine Learning
This Professional Certificate in AI and Machine Learning is backed by IIT Kanpur and is perfect for those who want to master both theory and practice. The curriculum covers everything from statistics and data science foundations to neural networks and AI model deployment.
Whether you’re switching careers or looking for a promotion, the program offers strong academic credibility along with tools that directly apply to today’s industry needs.
Features:
Program designed and delivered by IIT Kanpur faculty.
Focus on AI applications, ML algorithms, and real-time problem solving.
Includes live masterclasses, doubt-clearing sessions, and hands-on projects.
Career support and resume-building guidance.
Duration: 11 months.
3. Post Graduate Program in AI and Machine Learning
The complete AI bootcamp is perfect for those professionals who want the whole package, from beginner concepts to advanced AI model building. This Post Graduate Program in AI and Machine Learning course is a collaboration with Purdue University and IBM, and has a mix of academic depth and industry-aligned tools.
The curriculum is designed to provide solid exposure to supervised and unsupervised learning, deep learning, computer vision, and reinforcement learning—making it one of the most well-rounded programs in the AI space.
Features:
Offered in partnership with Purdue University and IBM.
Access to IBM’s tools and cloud platform.
15+ hands-on projects and 3 capstone projects.
Exclusive hackathons and AMA sessions with faculty.
Duration: 6 months (flexible, self-paced + live sessions)
4. AI and Machine Learning Bootcamp
This AI and Machine Learning bootcamp is a great choice for beginners exploring AI or someone wanting to refresh their skills. It covers AI and machine learning foundations as well as contemporary topics like generative AI and prompt engineering.
Features:
Delivered via live online sessions by experienced industry instructors.
Includes 25+ hands-on projects to help build a job-ready portfolio.
Offers 1:1 personalized career coaching for post-program success.
Duration: 26 weeks (part-time).
How to Select the Ideal AI and ML Program?
Choosing the right AI ML bootcamp depends on your career stage, technical background, and learning preferences. Here's what you should consider:
Know Your Starting Point
If you're just beginning, go for programs that cover the basics, like understanding algorithms, data structures, and programming languages such as Python. On the other hand, if you already have some experience, you might benefit more from advanced topics like generative AI, deep learning, or neural networks.
Look at What You’ll Learn
A good program should teach you both the theory and tools used in real-world AI applications. This means foundational topics like supervised and unsupervised learning, as well as hands-on skills in Python, TensorFlow, machine learning libraries, and cloud services like AWS or Azure.
Hands-on Practice Matters
Make sure the program includes industry-level projects. These projects give you a chance to apply what you’ve learned to real problems—and they also look great on a resume or portfolio.
Check the Credibility of a Program
Programs that are offered in collaboration with top institutes like IITs or Purdue University often carry more weight in the job market. These partnerships signal a high standard of content and learning outcomes.
Conclusion
The field of AI and machine learning is opening up exciting career opportunities, and the demand for skilled professionals is only going to rise in 2025. Joining a good AI bootcamp or machine learning bootcamp can help you gain the right skills, work on real projects, and earn certifications that matter.
If you're planning to start or grow your career in this field, the programs shared above are a great place to begin. Explore and enroll today!
FAQs
1. What skills do I need to start a career in AI and ML?
You’ll need basic knowledge of math (linear algebra, statistics), programming (especially Python), and data handling. Familiarity with tools like Jupyter, NumPy, and Pandas is also helpful.
2. How can I gain practical experience in AI and ML?
Work on real-world projects, use public datasets, and join platforms like Kaggle. A hands-on AI or ML bootcamp with industry projects is a great way to build experience.
3. Is machine learning a good career in 2025?
Yes. Machine learning roles are growing fast across industries, offering strong salaries and long-term job security in 2025 and beyond.
Our AI & ML Courses Duration And Fees
AI & Machine Learning Courses typically range from a few weeks to several months, with fees varying based on program and institution.
Program Name| Duration| Fees
Authors: Nikita Duggal
Publication Date: Apr 22, 2025
|
1 month ago
|
Simplilearn.com
|
data:image/jpeg;base64,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
| 46 |
machine learning job market
|
2025-06-17 14:02:47
| null |
Beginner’s Guide to Careers in AI and Machine Learning
|
https://www.kdnuggets.com/beginners-guide-to-careers-in-ai-and-machine-learning
|
The extensive development of artificial intelligence (AI) and machine learning (ML) forced the job market to adapt. The era of AI and ML...
|
Beginner’s Guide to Careers in AI and Machine Learning
The AI and ML complexity results in a growing number and diversity of jobs that require AI & ML expertise. We’ll give you a rundown of these jobs regarding the technical skills they need and the tools they employ.
By Nate Rosidi, KDnuggets Market Trends & SQL Content Specialist on August 15, 2024
The extensive development of artificial intelligence (AI) and machine learning (ML) forced the job market to adapt. The era of AI and ML generalists has ended, and we entered the era of specialists.
It can be difficult even for more experienced to find their way around it, let alone beginners.
That’s why I created this little guide to understanding different AI and ML jobs.
AI is a field of computer science that aims to create computer systems that show human-like intelligence.
ML is a subfield of AI that employs algorithms to build and deploy models that can learn from data and make decisions without explicit instructions being programmed.
The complexity of AI & ML and their various purposes results in various jobs applying them differently.
Here are the ten jobs I’ll talk about.
Though they all require AI & ML, with skills and tools sometimes overlapping, each job requires some distinct aspect of AI & ML expertise.
Here’s an overview of these differences.
|
10 months ago
|
KDnuggets
|
data:image/png;base64,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
| 47 |
machine learning job market
|
2025-06-17 14:02:47
| null |
6 Best Machine Learning Courses: Online ML Certifications
|
https://www.eweek.com/artificial-intelligence/machine-learning-certificate/
|
The 6 best machine learning certificates to boost your career.
|
# 6 Best Machine Learning Courses: Online ML Certifications
The 6 best machine learning certificates to boost your career.
Written by Kezia Jungco
Published October 30, 2024
Machine learning (ML) is a rapidly evolving industry and one of the most in-demand skillsets for programmers, data scientists, and aspiring artificial intelligence professionals. Certifications—a formal recognition of your ML expertise by a reputable certifying body—can help you stand out in a competitive job market, driving many ML professionals to seek machine learning certifications from Google, IBM, AWS, and other top AI companies.
Typically, ML certification programs are taught by industry experts or professors and come with course material in the form of videos, quizzes, assignments, and readings, all culminating in a final certification exam—and possibly resulting in career advancement. Here are my top picks for the best machine learning certifications:
* **Understanding Machine Learning**: Best for Understanding ML Basics
* **Machine Learning Specialization**: Best for Developing ML Practical Skills
* **IBM Machine Learning Professional Certificate**: Best for Mastering Data-Centric ML
* **Microsoft Azure Data Scientist Associate Certification**: Best for Showcasing ML Expertise in Microsoft Azure
* **AWS Certified Machine Learning**: Best for Validating ML Expertise in AWS
* **Google Professional Machine Learning Engineer**: Best for Demonstrating ML Skills Using Google Cloud Solutions
Machine learning certificates provide valuable skills for anyone seeking a career in artificial intelligence and data science. Beginner courses introduce the basics of machine learning, statistical concepts, data analysis, and Python programming, while intermediate courses cover more in-depth lessons on ML, AI models, deep learning, and more. Advanced learners can validate their expertise in machine learning algorithms, model tuning, and real-world ML applications.
Our list covers both certificates and certifications. Certificates verify that you completed a course or training, while certifications are industry-recognized credentials demonstrating your specific skillset and knowledge.
|
7 months ago
|
eWEEK
|
data:image/jpeg;base64,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
| 48 |
machine learning job market
|
2025-06-17 14:02:47
| null |
Job opportunities in AI field
|
https://punchng.com/job-opportunities-in-ai-field-2/
|
Artificial Intelligence is unlocking a wave of new career paths across industries, creating high demand for skilled professionals,...
|
Job opportunities in AI field
22nd April 2025
By Justice Okamgba
Artificial Intelligence is unlocking a wave of new career paths across industries, creating high demand for skilled professionals. The demand for AI professionals has surged in recent years and is expected to grow as AI continues transforming industries.
The global AI market is projected to expand from $150 bn in 2023 to over $1.3 trn by 2030, driving increased demand for skilled workers, according to research from MarketsandMarkets. In 2023, job postings requiring AI skills rose over 200 per cent compared to 2022, with specialised fields like generative AI seeing a 450 per cent increase.
Machine learning engineer
PhD holder in Artificial Intelligence, Marcin Chady, described machine learning engineering as one of the most foundational roles in the field. “You basically sit in front of the computer and think long and hard about statistics and linear algebra, trying different learning models and testing them,” Chady said.
Data scientist
The explosion of data across industries has made data science an essential part of AI development. “Data scientists use statistical methods and machine learning techniques to analyse and interpret complex data,” Tayyab said. “They help organisations make data-driven decisions.”
AI research scientist
“AI research scientists are advancing the field through experimentation and innovation,” said Tayyab. “They often work on the underlying algorithms and frameworks that power AI systems.”
AI Engineer
Combining technical implementation with software integration, the AI engineer’s job is to build functional systems. “AI engineers integrate machine learning models into real-world software and hardware solutions,” said Tayyab. “They ensure that AI capabilities are embedded in products in a scalable way.”
Computer vision engineer
Computer vision, which enables machines to ‘see’ and understand images and videos, is becoming increasingly important across sectors. “These engineers develop algorithms that interpret and process visual information,” said Tayyab. “From self-driving cars to medical imaging, the applications are endless.”
Natural language processing engineer
Another growing area is natural language processing—enabling machines to understand and generate human language. “This includes working on tasks such as language translation, sentiment analysis, and conversational agents like chatbots,” Tayyab explained.
Robotics engineer
AI’s role in robotics is giving rise to a new wave of opportunities, especially in automation and hardware integration. “Robotics engineers figure out how to apply the latest materials and electronic components to make things move and sense the environment,” said Chady.
AI product manager
While not purely technical, the role of an AI product manager is crucial for ensuring that AI systems meet user needs. “Product managers oversee development from conception to launch,” Tayyab said. “They balance user feedback, technical limitations, and business goals.”
AI ethicist
With great power comes great responsibility—and that includes the ethical implications of AI systems. “As AI becomes more influential, we need professionals who ensure its fair and responsible use,” said a computer scientist, Glenn Riley. “AI ethicists work on bias detection, transparency, and privacy.”
Big data engineer
Data is the lifeblood of AI, and managing it requires specialised skills. “Big data engineers process and manage large datasets that are crucial for training AI models,” said Tayyab. “They ensure the data infrastructure supports AI operations effectively.”
AI consultant
For organisations looking to adopt AI, consultants play a vital role in helping them navigate the transition. “AI consultants provide strategic guidance on how to implement AI tools, optimise processes, and identify areas of opportunity,” said Riley.
AI trainer and assessor
Less discussed but equally important are those who train AI models and assess their performance. “AI systems require curated datasets to learn effectively,” said Riley. “Trainers prepare these datasets while assessors evaluate the models’ accuracy and fairness.”
Virtual and augmented reality developer
AI is playing a key role in immersive technologies like virtual and augmented reality. “AI-powered VR and AR are transforming industries like gaming, healthcare, and education,” said Riley. “Developers skilled in both areas are in high demand.”
Cybersecurity analyst
As AI systems become more prevalent, so too do the threats against them. “Cybersecurity analysts ensure that AI systems are secure from vulnerabilities and attacks,” said Riley. “They protect sensitive models and data.”
AI programmer in video games
AI’s influence has also extended into the entertainment sector, particularly gaming. “It’s not really AI, but it’s about making virtual characters behave as if they’re smart,” said Chady. “It’s mostly smoke and mirrors, but the problems are fun and challenging nevertheless.”
Conclusion
Despite concerns that AI may displace human workers, experts believe the future lies in collaboration between humans and machines. “People worry that AI will take over,” said Lu. “But today’s AI is mostly based on statistics. It learns patterns but can’t think or create. We, as humans, are still far more complex.”
Ultimately, the AI job market is expanding—not contracting—offering exciting and varied opportunities for those willing to adapt and learn. “AI may automate certain tasks,” said Riley, “but it also creates demand for jobs that require creativity, critical thinking, and ethical judgement—skills only humans can offer.”
|
1 month ago
|
Punch Newspapers
|
data:image/jpeg;base64,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
| 50 |
machine learning job market
|
2025-06-17 14:02:47
| null |
Yes, AI Will Kill Jobs, Then Create More
|
https://www.informationweek.com/it-leadership/yes-ai-will-kill-jobs-then-create-more
|
When we create a step function increase in productivity, we create more jobs in technology and related off-spins.
|
Yes, AI Will Kill Jobs, Then Create More
When we create a step function increase in productivity, we create more jobs in technology and related off-spins.
Courtney Machi, VP of Product, Andela
December 3, 2024
4 Min Read
Lose your job to robots due to automation and the rise of the machines concept wi...
Note: The main article content is not fully provided in the given input, so the response only includes the available headline, author, publication date, and a fragment of the main text. If the full article content were provided, the response would include the complete main text.
|
6 months ago
|
InformationWeek
|
data:image/jpeg;base64,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
| 4 |
AI job creation vs elimination
|
2025-06-17 14:02:50
| null |
Jamie Dimon on AI: What He Gets Right, and What He Leaves Out
|
https://www.marketingprofs.com/articles/2024/52388/ai-what-jamie-dimon-gets-right-and-leaves-out
|
Dimon rightly points out that, similar to revolutionary technologies of the past, AI has a transformative impact on productivity and growth.
|
AI: What Jamie Dimon Gets Right (and Leaves Out)
By Matthew Boyle
JPMorgan Chase CEO Jamie Dimon has been making headlines with his skeptical views on AI, but what does he get right—and wrong—about the technology?
Published February 27, 2024
Matthew Boyle is a financial journalist with over a decade of experience covering the industry.
JPMorgan Chase CEO Jamie Dimon has been making headlines with his skeptical views on AI, but what does he get right—and wrong—about the technology? In a recent interview, Dimon expressed his concerns about the potential risks and limitations of AI, citing the need for more research and development to ensure its safe and responsible use. While some critics have dismissed Dimon's views as outdated or misinformed, others argue that he raises important points about the need for caution and regulation in the development and deployment of AI systems.
One area where Dimon gets it right is in highlighting the potential risks of AI, particularly in areas such as bias and job displacement. As AI systems become increasingly sophisticated and pervasive, there is a growing need for transparency and accountability in their development and deployment. Dimon's call for more research and development to address these risks is well-timed and well-founded.
However, Dimon's views on AI are not without controversy. Some critics argue that he underestimates the potential benefits of AI, particularly in areas such as financial services and healthcare. Others argue that his calls for regulation and caution are overly broad and could stifle innovation and progress in the field.
Ultimately, the debate over AI and its potential risks and benefits is complex and multifaceted. While Dimon's skeptical views may not be universally shared, they highlight the need for a nuanced and informed discussion about the role of AI in our society and economy. As AI continues to evolve and advance, it is essential that we prioritize transparency, accountability, and responsible development to ensure that its benefits are realized and its risks are mitigated.
|
6 months ago
|
MarketingProfs
|
data:image/jpeg;base64,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
| 6 |
AI job creation vs elimination
|
2025-06-17 14:02:50
| null |
Will genAI kill the help desk and other IT jobs?
|
https://www.computerworld.com/article/3507029/will-genai-kill-the-help-desk-and-other-it-jobs.html
|
Generative AI adoption is bound to eliminate some tech-related jobs over the next few years. But in addition to creating new efficiencies,...
|
Will genAI kill the help desk and other IT jobs?
by Lucas Mearian
Senior Reporter
Sep 9, 2024
Generative AI adoption is bound to eliminate some tech-related jobs over the next few years. But in addition to creating new efficiencies, it will likely help other roles become more productive.
As AI adoption continues to soar, corporate executives are being forced to make hard decisions on what IT jobs can be automated by the fast-evolving technology and which ones can’t.
It’s a conundrum — especially because experts believe as many as a quarter of IT jobs could be eliminated and replaced by generative artificial intelligence (genAI) tools.
David Foote, chief analyst and research officer with IT research firm Foote Partners, believes from 20% to 25% of tech jobs could eventually be taken by AI.
The roles likely to be heavily impacted by AI but not necessarily eliminated include software development, cybersecurity, DevOps, UI/UX design, data administration and management, testing and quality assurance, data scientists and analysts, testing and quality assurance, cloud engineers, technical writers, and IT support and systems administration — including network administration.
AI is transforming cybersecurity by automating threat detection, anomaly detection, and incident response. AI-powered tools can quickly identify unusual behavior, analyze security patterns, scan for vulnerabilities, and even predict cyberattacks, making manual monitoring less necessary.
IT support and systems administration positions — especially tier-one and tier-two help desk jobs — are expected to be hit particularly hard with job losses. Those jobs entail basic IT problem resolution and service desk delivery, as well as more in-depth technical support, such as software updates, which can be automated through AI today.
Data scientists and analysts will be in greater demand with AI, but their tasks will shift towards more strategic areas like interpreting AI-generated insights, ensuring ethical use of AI, and working on higher-level model development and validation.
There will also be a growing demand for data scientists with model selection and optimization tools like AutoML, DataRobot, and H2O.ai, which automate much of the machine learning pipeline.
While layoffs among tech firms escalated over the past year, Foote believes companies will begin rethinking their hiring strategies, and that could lead to a hiring sprint over the next several months.
When they embraced automation, they ended up letting people go, but then they decided soft skills and institutional knowledge are important.
The technology can’t create new product ideas, services, or business strategies; those tasks require critical thinking.
They thought they could get rid of people, but as it turns out, they need a core of people who understand nuances.
Organizations need people who know how to communicate in a collaborative way using verbal and non-verbal skills — particularly people who don’t necessarily have some level of technical skills.
These are people who can inspire others and motivate other people.
|
9 months ago
|
Computerworld
|
data:image/jpeg;base64,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
| 7 |
AI job creation vs elimination
|
2025-06-17 14:02:50
| null |
AI will eliminate many ‘blue-collar’ jobs—and 4 other AI predictions
|
https://www.fastcompany.com/91204697/ai-will-eliminate-many-blue-collar-jobs-and-4-other-ai-predictions
|
What will the future of AI bring? Will it revolutionize our world with groundbreaking innovations, creating efficiencies and possibilities...
|
BY Rajeev KapurWhat will the future of AI bring? Will it revolutionize our
world with groundbreaking innovations, creating efficiencies and
possibilities we have yet to imagine? Or will it pose serious threats,
disrupting industries, economies, and societies in ways we are unprepared
to handle? On May 30, 2023, over 350 AI executives, researchers, and
engineers issued an open letter, warning that the technology they are
developing could become a societal risk comparable to pandemics and nuclear
war. They urged President Biden and Congress to explore regulations to
prevent potential negative impacts of AI on our world.However, some experts
are more optimistic. Kai-Fu Lee, the CEO of Sinovation Ventures, the
founding president of Google China, and the author of AI Superpowers, has
studied AI for almost forty years. Lee has made some specific and, he
believes, realistic projections of how AI will change our environment in
multiple ways. Here are a few of his forecasts.Rethinking the WorkplaceBy
the 2040s, almost all data will be digitized—which means AI will have
access to it all for decision-making and optimization. AI and robots will
take over the manufacturing, design, delivery, and even the marketing of
most goods, while AI service robots will perform all the household chores,
which I’m sure you’ll be sad to hear. Subscribe to the Daily
newsletter.Fast Company's trending stories delivered to you every
dayPrivacy Policy|Fast Company NewslettersThis transition will eliminate
many blue-collar jobs. But whitecollar jobs, as noted earlier, are also
threatened by AI. After all, AI can assist research analysts, lawyers, and
journalists by having access to infinite knowledge—so, while professionals
will find much to love about it, those who do routine whitecollar jobs like
telemarketing, accounting, or what’s derisively called “paper pushing” will
be displaced by AI. Over time, AI will displace most entry-level
positions. It sounds bleak, but there is a silver lining. Lee agrees there
will be countless new jobs created by the effort to optimize AI which will
require a human touch. Positions like Prompt Manager, AI Trainer, AI
Auditor, AI Ethicists, and Machine Managers will be necessary in order to
help companies develop and use AI in a safe, responsible, and effective
way. Ultimately, it will be a huge shift, but a positive
one. Revolutionizing HealthcareThe transition to digital data is already
well underway in the healthcare industry. This shift empowers AI, enabling
it to transform healthcare into a data-driven field, from diagnosis and
treatment to health alerts, monitoring, and long-term care. The development
of Generative AI tools like ChatGPT is set to revolutionize patient care.
With the vast amount of data available, these tools will improve efficiency
and the delivery of quality care by assisting in patient education,
streamlining management plans, and reducing administrative tasks, allowing
for more time to be spent with patients.AI’s discovery of a new super
antibiotic is also a harbinger of more and more AI-led scientific
breakthroughs in medicine to come. Pharmaceutical companies will find their
R&D costs cut significantly, simply because AI can help invent many drugs
at much lower costs, including cures for rare diseases. Precision medicine,
which will tailor treatments for specific patients, will also become more
prevalent, with AI taking into account medical history, family history, and
DNA sequencing. Creating Safer and More Efficient TransportationWhile AI
self-driving software at present isn’t delivering on its promise, that will
change in years to come. On-demand autonomous autos will be available to
take you where you want to go at a lower cost and a higher degree of
convenience—not to mention more safely. Lee estimates 90% of traffic
fatalities will be eliminated. He also projects that self-driving vehicles
will be part of an integrated “smart city” transport system, where the cars
are able to communicate with each other and avoid traffic jams and
collisions. Enhancing EducationJust as AI will enable medicine to focus on
each single patient, it will also enable education to focus on each single
pupil. A virtual AI teacher can pay special attention to each student and
answer any question with precision—as well as with more patience—than the
average teacher. It can find ways to treat complex subjects more simply, in
a way that a struggling student can better understand, and hopefully teach
in ways that are more effective, engaging, and fun. Human teachers will
become mentors and connectors for the students, offering the kind of
emotional support and empathy AI will not possess. advertisementVirtually
Transforming Our Home Life AI won’t just affect school and work; it will be
waiting for us at home—with amazing new worlds of immersive virtual
entertainment that will be indistinguishable from real life. The boundaries
between reality and games, movies, and even remote communications will
become increasingly blurred. Our kids may be able to interact with virtual
representations of such legendary figures as Albert Einstein and Stephen
Hawking, and we will be able to use virtual reality for specialized
treatments of psychiatric problems such as PTSD. Finally, AI will make
great toys and be great companions. They just won’t be human. Lee’s outlook
for a future with AI is a lot rosier than that of the AI associates who
warn that the technology will be as big a threat as the nuclear bomb. Who’s
right? If we manage AI responsibly—perhaps through an international AI
safety organization much like the International Atomic Energy Agency—it may
markedly improve almost every aspect of our lives by freeing us from the
drudgery of repetitive, mindless tasks that it can tackle with ease,
allowing us to experience technology at a whole new transformative
level. Excerpted with permission from AI Made Simple by Rajeev Kapur.The
final deadline for Fast Company’s Next Big Things in Tech Awards is Friday,
June 20, at 11:59 p.m. PT. Apply today.ABOUT THE AUTHORRajeev Kapur is the
author of AI Made Simple and a three-time CEO, with extensive experience in
high-tech and media. Currently, Kapur is CEO of 1105 Media, Inc., managing
a diverse B2B marketing, events, and media services portfolio. MoreExplore
TopicscareersThe Future of Work
|
8 months ago
|
Fast Company
|
data:image/jpeg;base64,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
| 8 |
AI job creation vs elimination
|
2025-06-17 14:02:50
| null |
AI may change your job but it won’t eliminate many, labor experts say
|
https://fortune.com/2024/09/02/ai-change-job-eliminate-many-labor-experts-say/
|
The experience at Alorica — and at other companies, including furniture retailer IKEA — suggests that AI may not prove to be the job killer that...
|
AI may change your job but it won’t eliminate many, labor experts say
BY Paul Wiseman, The Associated Press
September 2, 2024 at 5:33 AM EDT
Imagine a customer-service center that speaks your language, no matter what it is.
Alorica, a company in Irvine, California, that runs customer-service centers around the world, has introduced an artificial intelligence translation tool that lets its representatives talk with customers who speak 200 different languages and 75 dialects.
So an Alorica representative who speaks, say, only Spanish can field a complaint about a balky printer or an incorrect bank statement from a Cantonese speaker in Hong Kong.
Such is the power of AI.
And, potentially, the threat: Perhaps companies won’t need as many employees — and will slash some jobs — if chatbots can handle the workload instead.
But the thing is, Alorica isn’t cutting jobs.
It’s still hiring aggressively.
The experience at Alorica — and at other companies, including furniture retailer IKEA — suggests that AI may not prove to be the job killer that many people fear.
Instead, the technology might turn out to be more like breakthroughs of the past — the steam engine, electricity, the Internet: That is, eliminate some jobs while creating others.
And probably making workers more productive in general, to the eventual benefit of themselves, their employers and the economy.
Nick Bunker, an economist at the Indeed Hiring Lab, said he thinks AI “will affect many, many jobs — maybe every job indirectly to some extent.
But I don’t think it’s going to lead to, say, mass unemployment.
We have seen other big technological events in our history, and those didn’t lead to a large rise in unemployment.
Technology destroys but also creates.
There will be new jobs that come about.’’
At its core, artificial intelligence empowers machines to perform tasks previously thought to require human intelligence.
The technology has existed in early versions for decades, having emerged with a problem-solving computer program, the Logic Theorist, built in the 1950s at what’s now Carnegie Mellon University.
More recently, think of voice assistants like Siri and Alexa.
Or IBM’s chess-playing computer, Deep Blue, which managed to beat the world champion Garry Kasparov in 1997.
AI really burst into public consciousness in 2022, when OpenAI introduced ChatGPT, the generative AI tool that can conduct conversations, write computer code, compose music, craft essays and supply endless streams of information.
The arrival of generative AI has raised worries that chatbots will replace freelance writers, editors, coders, telemarketers, customer-service reps, paralegals and many more.
“AI is going to eliminate a lot of current jobs, and this is going to change the way that a lot of current jobs function,” Sam Altman, the CEO of OpenAI, said in a discussion at the Massachusetts Institute of Technology in May.
Yet the widespread assumption that AI chatbots will inevitably replace service workers, the way physical robots took many factory and warehouse jobs, isn’t becoming reality in any widespread way — not yet, anyway.
And maybe it never will.
The White House Council of Economic Advisers said last month that it found “little evidence that AI will negatively impact overall employment.’’
The advisers noted that history shows technology typically makes companies more productive, speeding economic growth and creating new types of jobs in unexpected ways.
They cited a study this year led by David Autor, a leading MIT economist: It concluded that 60% of the jobs Americans held in 2018 didn’t even exist in 1940, having been created by technologies that emerged only later.
The outplacement firm Challenger, Gray & Christmas, which tracks job cuts, said it has yet to see much evidence of layoffs that can be attributed to labor-saving AI.
“I don’t think we’ve started seeing companies saying they’ve saved lots of money or cut jobs they no longer need because of this,’’ said Andy Challenger, who leads the firm’s sales team.
“That may come in the future.
But it hasn’t played out yet.’’
At the same time, the fear that AI poses a serious threat to some categories of jobs isn’t unfounded.
Consider Suumit Shah, an Indian entrepreneur who caused a uproar last year by boasting that he had replaced 90% of his customer support staff with a chatbot named Lina.
The move at Shah’s company, Dukaan, which helps customers set up e-commerce sites, shrank the response time to an inquiry from 1 minute, 44 seconds to “instant.”
It also cut the typical time needed to resolve problems from more than two hours to just over three minutes.
“It’s all about AI’s ability to handle complex queries with precision,” Shah said by email.
The cost of providing customer support, he said, fell by 85%.
“Tough? Yes.
Necessary? Absolutely,’’ Shah posted on X.
Dukaan has expanded its use of AI to sales and analytics.
The tools, Shah said, keep growing more powerful.
“It’s like upgrading from a Corolla to a Tesla,” he said.
“What used to take hours now takes minutes.
And the accuracy is on a whole new level.”
Similarly, researchers at Harvard Business School, the German Institute for Economic Research and London’s Imperial College Business School found in a study last year that job postings for writers, coders and artists tumbled within eight months of the arrival of ChatGPT.
A 2023 study by researchers at Princeton University, the University of Pennsylvania and New York University concluded that telemarketers and teachers of English and foreign languages held the jobs most exposed to ChatGPT-like language models.
But being exposed to AI doesn’t necessarily mean losing your job to it.
AI can also do the drudge work, freeing up people to do more creative tasks.
The Swedish furniture retailer IKEA, for example, introduced a customer-service chatbot in 2021 to handle simple inquiries.
Instead of cutting jobs, IKEA retrained 8,500 customer-service workers to handle such tasks as advising customers on interior design and fielding complicated customer calls.
Chatbots can also be deployed to make workers more efficient, complementing their work rather than eliminating it.
A study by Erik Brynjolfsson of Stanford University and Danielle Li and Lindsey Raymond of MIT tracked 5,200 customer-support agents at a Fortune 500 company who used a generative AI-based assistant.
The AI tool provided valuable suggestions for handling customers.
It also supplied links to relevant internal documents.
Those who used the chatbot, the study found, proved 14% more productive than colleagues who didn’t.
They handled more calls and completed them faster.
The biggest productivity gains — 34% — came from the least-experienced, least-skilled workers.
At an Alorica call center in Albuquerque, New Mexico, one customer-service rep had been struggling to gain access to the information she needed to quickly handle calls.
After Alorica trained her to use AI tools, her “handle time’’ — how long it takes to resolve customer calls — fell in four months by an average of 14 minutes a call to just over seven minutes.
Over a period of six months, the AI tools helped one group of 850 Alorica reps reduce their average handle time to six minutes, from just over eight minutes.
They can now field 10 calls an hour instead of eight — an additional 16 calls in an eight-hour day.
Alorica agents can use AI tools to quickly access information about the customers who call in — to check their order history, say, or determine whether they had called earlier and hung up in frustration.
Suppose, said Mike Clifton, Alorica’s co-CEO, a customer complains that she received the wrong product.
The agent can “hit replace, and the product will be there tomorrow,” he said.
” ‘Anything else I can help you with? No?’ Click.
Done.
Thirty seconds in and out.’’
Now the company is beginning to use its Real-time Voice Language Translation tool, which lets customers and Alorica agents speak and hear each other in their own languages.
“It allows (Alorica reps) to handle every call they get,” said Rene Paiz, a vice president of customer service.
“I don’t have to hire externally’’ just to find someone who speaks a specific language.
Yet Alorica isn’t cutting jobs.
It continues to seek hires — increasingly, those who are comfortable with new technology.
“We are still actively hiring,’’ Paiz says.
“We have a lot that needs to be done out there.’’
|
9 months ago
|
Fortune
|
data:image/jpeg;base64,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
| 9 |
AI job creation vs elimination
|
2025-06-17 14:02:50
| null |
AI cannot eliminate an entire occupation', say experts on future of jobs
|
https://www.business-standard.com/specials/bs-events/ai-job-displacement-automation-employment-growth-125022801028_1.html
|
AI will augment jobs rather than replace them, say experts at BS Manthan, highlighting the need for upskilling and policy support to...
|
AI cannot eliminate an entire occupation', say experts on future of jobs
AI will augment jobs rather than replace them, say experts at BS Manthan, highlighting the need for upskilling and policy support to maximise productivity and employment growth
Rimjhim Singh, Md Zakariya Khan
New Delhi
February 28, 2025, 6:47 PM IST
The growing integration of artificial intelligence (AI) in the workplace has long fuelled debates about job displacement. However, experts argue that while AI can automate specific tasks, it is unlikely to replace entire occupations.
Radhicka Kapoor, senior employment specialist at the International Labour Organisation (ILO) Decent Work Technical Support Team (DWT) for South Asia, explains, “Every occupation involves certain tasks. When technological innovations like AI and generative AI are introduced, some tasks within those occupations will be automated, but not the entire occupation. As a result, the entire occupation will not be eliminated.”
Speaking at a panel discussion on ‘Future of jobs’ on the second day of BS Manthan, she said, while automation may displace some tasks, it will also enhance productivity by freeing up time for other activities. A study conducted two years ago supported this, showing that the augmenting effects of AI far outweighed its automation effects. The study, Kapoor said, found that only 2.3 per cent of global jobs were susceptible to automation, whereas 13 per cent of local employment was expected to benefit from AI’s augmenting impact.
The study also highlighted regional variations. In high-income countries, 5.5 per cent of jobs were vulnerable to automation, compared to 1 per cent to 2.5 per cent in developing nations. However, the positive impact of AI was universal, with 13 per cent of global employment expected to benefit from technology-driven augmentation.
Kapoor said that if we had discussed the future of jobs a little less than a decade ago, the conversation would have been very different. “Early studies raised concerns about job displacement. But today, as we discuss this in 2025, we can confidently say there will not be a ‘jobs apocalypse’.” She said that global evidence, including research from the ILO, supports the view that the augmenting effect of technology will significantly outweigh its automating effect.
Sumita Dawra, secretary, Ministry of Labour & Employment, highlighted key sectors driving employment in India. “The services sector, FinTech, the construction sector, manufacturing, and MSMEs are growth drivers.” She also pointed to the role of startups in job creation, saying “Startups are employing more and more people. In FinTech alone, we have 10,000-plus startups.”
She said, projections suggest that 24 per cent of the incremental global workforce over the next decade will come from India. She further emphasised the significance of Global Capability Centres (GCCs), saying, “India is the global hub for the GCCs. They are employing lakhs of young people at the moment.”
Hiranmay Pandya, all India president of the Bharatiya Mazdoor Sangh, said that while technology evolves, it also creates new employment opportunities. "As technology evolves, new jobs will be created, such as roles for team workers and platform workers.”
Talking about the job crisis during the Covid-19 pandemic, he said, despite job losses, productivity increased due to technological advancements in that period.
Pandya also rejected the notion that job creation is limited to the government sector, highlighting rapid growth in the private sector, particularly in the electronics and media industries. “Jobs in the private sector, such as in the electronics and media industries, are growing. The electronics sector in our country is expanding faster than others, and we are seeing investments from countries like Japan.”
Stressing on the importance of upskilling, he said, “Upskilling is crucial for the workforce to adapt to new technologies. Many individuals lack the understanding of emerging technologies, which is why it is essential to focus on training and skill development.”
|
3 months ago
|
Business Standard
|
data:image/jpeg;base64,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
| 11 |
AI job creation vs elimination
|
2025-06-17 14:02:50
| null |
People are worried that AI will take everyone’s jobs. We’ve been here before.
|
https://www.technologyreview.com/2024/01/27/1087041/technological-unemployment-elon-musk-jobs-ai/
|
In a 1938 article, MIT's president argued that technical progress didn't mean the end of work. He's still right.
|
People are worried that AI will take everyone’s jobs. We’ve been here before.
In a 1938 article, MIT’s president argued that technical progress didn’t mean fewer jobs. He’s still right.
By David Rotman
January 27, 2024
MIT Technology Review is celebrating our 125th anniversary with an online series that draws lessons for the future from our past coverage of technology.
It was 1938, and the pain of the Great Depression was still very real. Unemployment in the US was around 20%. Everyone was worried about jobs.
In 1930, the prominent British economist John Maynard Keynes had warned that we were “being afflicted with a new disease” called technological unemployment. Labor-saving advances, he wrote, were “outrunning the pace at which we can find new uses for labour.” There seemed to be examples everywhere. New machinery was transforming factories and farms. Mechanical switching being adopted by the nation’s telephone network was wiping out the need for local phone operators, one of the most common jobs for young American women in the early 20th century.
Were the impressive technological achievements that were making life easier for many also destroying jobs and wreaking havoc on the economy? To make sense of it all, Karl T. Compton, the president of MIT from 1930 to 1948 and one of the leading scientists of the day, wrote about the “Bogey of Technological Unemployment.”
How, began Compton, should we think about the debate over technological unemployment—“the loss of work due to obsolescence of an industry or use of machines to replace workmen or increase their per capita production”? He then posed this question: “Are machines the genii which spring from Aladdin’s Lamp of Science to supply every need and desire of man, or are they Frankenstein monsters which will destroy man who created them?” Compton signaled that he’d take a more grounded view: “I shall only try to summarize the situation as I see it.”
His essay concisely framed the debate over jobs and technical progress in a way that remains relevant, especially given today’s fears over the impact of artificial intelligence. Impressive recent breakthroughs in generative AI, smart robots, and driverless cars are again leading many to worry that advanced technologies will replace human workers and decrease the overall demand for labor. Some leading Silicon Valley techno-optimists even postulate that we’re headed toward a jobless future where everything can be done by AI.
While today’s technologies certainly look very different from those of the 1930s, Compton’s article is a worthwhile reminder that worries over the future of jobs are not new and are best addressed by applying an understanding of economics, rather than conjuring up genies and monsters.
Uneven impacts
Compton drew a sharp distinction between the consequences of technological progress on “industry as a whole” and the effects, often painful, on individuals.
For “industry as a whole,” he concluded, “technological unemployment is a myth.” That’s because, he argued, technology "has created so many new industries” and has expanded the market for many items by “lowering the cost of production to make a price within reach of large masses of purchasers.” In short, technological advances had created more jobs overall. The argument—and the question of whether it is still true—remains pertinent in the age of AI.
Then Compton abruptly switched perspectives, acknowledging that for some workers and communities, “technological unemployment may be a very serious social problem, as in a town whose mill has had to shut down, or in a craft which has been superseded by a new art.”
Even those who agreed that jobs will come back in “the long run” were concerned that “displaced wage-earners must eat and care for their families ‘in the short run.’”
This analysis reconciled the reality all around—millions without jobs—with the promise of progress and the benefits of innovation. Compton, a physicist, was the first chair of a scientific advisory board formed by Franklin D. Roosevelt, and he began his 1938 essay with a quote from the board’s 1935 report to the president: “That our national health, prosperity and pleasure largely depend upon science for their maintenance and their future improvement, no informed person would deny.”
Compton’s assertion that technical progress had produced a net gain in employment wasn’t without controversy. According to a New York Times article written in 1940 by Louis Stark, a leading labor journalist, Compton “clashed” with Roosevelt after the president told Congress, “We have not yet found a way to employ the surplus of our labor which the efficiency of our industrial processes has created.”
As Stark explained, the issue was whether “technological progress, by increasing the efficiency of our industrial processes, take[s] jobs away faster than it creates them.” Stark reported recently gathered data on the strong productivity gains from new machines and production processes in various sectors, including the cigar, rubber, and textile industries. In theory, as Compton argued, that meant more goods at a lower price, and—again in theory—more demand for these cheaper products, leading to more jobs. But as Stark explained, the worry was: How quickly would the increased productivity lead to those lower prices and greater demand?
As Stark put it, even those who agreed that jobs will come back in “the long run” were concerned that “displaced wage-earners must eat and care for their families ‘in the short run.’”
World War II soon meant there was no shortage of employment opportunities. But the job worries continued. In fact, while it has waxed and waned over the decades depending on the health of the economy, anxiety over technological unemployment has never gone away.
Automation and AI
Lessons for our current AI era can be drawn not just from the 1930s but also from the early 1960s. Unemployment was high. Some leading thinkers of the time claimed that automation and rapid productivity growth would outpace the demand for labor. In 1962, MIT Technology Review sought to debunk the panic with an essay by Robert Solow, an MIT economist who received the 1987 Nobel Prize for explaining the role of technology in economic growth and who died late last year at the age of 99.
In his piece, titled “Problems That Don’t Worry Me,” Solow scoffed at the idea that automation was leading to mass unemployment. Productivity growth between 1947 and 1960, he noted, had been around 3% a year. “That’s nothing to be sneezed at, but neither does it amount to a revolution,” he wrote. No great productivity boom meant there was no evidence of a second Industrial Revolution that "threatens catastrophic unemployment.” But, like Compton, Solow also acknowledged a different type of problem with the rapid technological changes: “certain specific kinds of labor … may become obsolete and command a suddenly lower price in the market … and the human cost can be very great.”
These days, the panic is over artificial intelligence and other advanced digital technologies. Like the 1930s and the early 1960s, the early 2010s were a time of high unemployment, in this case because the economy was struggling to recover from the 2007–’09 financial crisis. It was also a time of impressive new technologies. Smartphones were suddenly everywhere. Social media was taking off. There were glimpses of driverless cars and breakthroughs in AI. Could those advances be related to the lackluster demand for labor? Could they portend a jobless future?
Again, the debate played out in the pages of MIT Technology Review. In a story I wrote titled “How Technology Is Destroying Jobs,” economist Erik Brynjolfsson and his colleague Andrew McAfee argued that technological change was eliminating jobs faster than it was creating them. This wasn’t just about a mill shutting down. Rather, advanced digital technologies were leading to job losses across a broad swath of the economy, raising the specter once again of technological unemployment.
It’s difficult to pinpoint a single cause for something as complex as a dip in total employment—it could be just a result of sluggish economic growth. But it was becoming increasingly obvious, both in the data and in everyday observations, that new technologies were changing the types of jobs in demand—and while that was nothing new, the scope of the transition was troubling, and so was the speed at which it was happening. Industrial robots had killed off many well-paying manufacturing jobs in places like the Rust Belt, and now AI and other digital technologies were coming after clerical and office jobs—and even, it was feared, truck driving.
In his farewell speech before leaving office in January 2017, President Barack Obama spoke about “the relentless pace of automation that makes a lot of good middle-class jobs obsolete.” By that time, it was clear that Compton’s optimism needed to be rethought. Technical progress was not turning out to lead to inevitable job growth, and the pain was not limited to a few specific locations and industries.
Why Musk is wrong
In an interview late last year with the UK prime minister, Rishi Sunak, Elon Musk declared there will come a time when “no job is needed,” thanks to an AI “magic genie that can do everything you want.” Musk added that as a result, “we won’t have universal basic income, we’ll have universal high income”—apparently answering Compton’s rhetorical question about whether machines will be “the genii which … supply every need and desire of man.”
It might not be possible to prove Musk wrong, since he gave no timeline for his utopian prediction; in any case, how do you argue against the power of a magical genie? But the end-of-work meme is a distraction as we figure out the best way to use AI to expand the economy and create new jobs.
Breakthroughs in generative AI, such as ChatGPT and other large language models, will likely transform the economy and labor markets. But there’s no convincing evidence that we’re on a path to a jobless future. To paraphrase Solow, we should worry about that when there’s a problem to worry about.
Even a bullish estimate about the effects of generative AI by Goldman Sachs puts its impact on productivity growth at around 1.5% a year over the next 10 years. That, as Solow might say, is nothing to sneeze at, but it’s not going to end the need for workers. The Goldman Sachs report calculated that roughly two-thirds of US jobs are “exposed to some degree of automation by AI.” Yet this conclusion is often misinterpreted—it doesn’t mean all those jobs will be replaced. Rather, as the Goldman Sachs report notes, most of these positions are “only partially exposed to automation.” For many of these workers, AI will become part of the workday and won’t necessarily lead to layoffs.
The end-of-work meme is a distraction as we figure out the best way to use AI to expand the economy and create new jobs.
One critical wild card is how many new jobs will be created by AI even as existing ones disappear. Estimating such job creation is notoriously difficult. But MIT’s David Autor and his collaborators recently calculated that 60% of employment in 2018 was in types of jobs that didn’t exist before 1940. One reason innovation has created so many new jobs is that it has increased the productivity of workers, augmenting their capabilities and expanding their potential to do new tasks. The bad news: this job creation is countered by the labor-destroying impact of automation when it’s used to simply replace workers. As Autor and his coauthors conclude, one of the key questions now is whether “automation is accelerating relative to augmentation, as many researchers and policymakers fear.”
In recent decades, companies have often used AI and advanced automation to slash jobs and cut costs. There’s no economic rule that innovation will in fact favor augmentation and job creation over this type of automation. But we have a choice going forward: we can use technology to simply replace workers, or we can use it to expand their skills and capabilities, leading to economic growth and new jobs.
One of the lasting strengths of Compton’s 1938 essay was his argument that companies needed to take responsibility for limiting the pain of any technological transition. His suggestions included “coöperation between industries of a community to synchronize layoffs in one company with new employment in another.” That might sound outdated in today’s global economy. But the underlying sentiment remains relevant: “The fundamental criterion for good management in this matter, as in every other, is that the predominant motive must not be quick profits but best ultimate service of the public.”
At a time when AI companies are gaining unprecedented power and wealth, they also need to take greater responsibility for how the technology is affecting workers. Conjuring up a magical genie to explain an inevitable jobless future doesn’t cut it. We can choose how AI will define the future of work.
|
16 months ago
|
MIT Technology Review
|
data:image/jpeg;base64,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
| 13 |
AI job creation vs elimination
|
2025-06-17 14:02:50
| null |
Will AI Replace Jobs? 17 Job Types That Might be Affected
|
https://www.techtarget.com/whatis/feature/Will-AI-replace-jobs-9-job-types-that-might-be-affected
|
Explore how AI technologies are transforming nine job sectors, their effect on roles and the potential for job replacement.
|
# Will AI replace jobs? 18 job types that might be affected
## These 18 job types -- including administrative, customer service and teaching -- might be replaced, augmented or improved by the latest artificial intelligence wave.
By Ben Lutkevich, Site Editor
Published: 30 Apr 2025
Automation fears have long haunted the future of work. Generative AI is now the latest technology to inspire fear and optimism.
AI will augment jobs in the future. However, the argument could be made that job augmentation for some means job replacement for others. For example, if a worker's job is made 10 times easier, the positions created to support that job might become unnecessary.
A January 2025 McKinsey report stated that 70% of employees believe generative AI (GenAI) would change 30% or more of their work.
One recent case of AI job replacement came when a writer at a tech startup was let go without explanation, but later found references to her as "Olivia/ChatGPT" on the work Slack channel. She also found communications from her managers about how ChatGPT was cheaper than using a writer. So, while there was no official explanation for the job loss, the signs pointed to AI.
The Writers Guild of America also went on strike, saying they wanted more regulation of AI in addition to higher wages and more residuals from streaming platforms.
GenAI might also disproportionately affect women's jobs, according to a recent study from the Frank Hawkins Kenan Institute of Private Enterprise. Approximately 79% of working women have positions susceptible to automation, versus 58% of working men.
In past automation-fueled labor fears, machines would automate tedious, repetitive work. GenAI is different in automating creative tasks such as writing, coding and even music making. For example, musician Paul McCartney used AI to partially generate his late bandmate John Lennon's voice to create a posthumous Beatles song. In this case, mimicking a voice worked to the musician's benefit, but that might not always be the case.
Job replacement isn't the only effect AI could have on work. The positive angle is human-machine cooperation. AI will help people improve their work experience by automating rote, repetitive tasks. The technology will maximize the "goods" of work while minimizing the "bads." This may contribute to a surge in AI jobs and increased demand for AI skills.
AI needs a lot of human feedback. For example, LLMs train using a process called reinforcement learning from human feedback where people fine tune models by repeatedly ranking outputs from best to worst. A May 2023 paper also describes the phenomenon of model collapse, which states that LLMs malfunction without a connection to human-produced data sets.
There's also another angle -- that workers will collaborate with AI, but it will stunt their productivity. For example, a generative AI chatbot might create an overabundance of low-quality content. Editors would then need to write additional content to flesh out the articles, pushing the search for unique sources of information lower on their list of priorities.
Writing is just one example of a job being automated by the latest AI systems, but there are many job types that could be affected in various ways, including the following:
1. Administrative
GenAI tools can help office administrators and assistants with tasks such as basic email correspondence, identifying data trends, finding mutually available meeting times across time zones and other summary/synthesis exercises.
2. Content writers
Generative AI tools such as ChatGPT and Gemini can generate text that aims to convince readers that a human wrote it. This has implications for content writers, especially in fields that require less nuance, originality or factual accuracy. Original or specialized writing might become increasingly valuable as generic, AI-generated writing proliferates on the internet, obscuring genuine human perspectives.
3. Coding
Programs such as ChatGPT can write fluent, syntactically correct code faster than most humans, so coders who are primarily valued for producing high volumes of low-quality code quickly might be concerned. Coders who produce a quality product might have nothing to fear, however, and use AI to improve their workflow instead.
4. Contractors
In April 2025, Duolingo's CEO announced that the language learning company would be AI-first moving forward. One way they are looking to achieve this is by using AI where previously they would have hired contractors. Duolingo also announced a move to use AI in their hiring, joining the 70% of companies predicted to use AI in hiring by the end of 2025.
5. Customer service
The customer service sector offers many opportunities for automation. AI-powered chatbots can provide speedy, personalized responses to customer questions, reducing the need for human workers. There are many examples of AI in customer service pre-ChatGPT, including the following:
* Robotic process automation.
* Customer self-service.
* Chatbots.
* Sentiment analysis.
6. Drivers
The prevalence of AI in vehicles can potentially affect car and truck driving jobs. Rideshare companies are partnering with self-driving car providers to minimize the need for human drivers and give riders the option to ride in an autonomous vehicle.
7. Legal
There is significant evidence indicating AI will affect legal jobs. AI will eventually perform many of the tasks paralegals and legal assistants typically handle, according to one study by authors from Princeton University, New York University and the University of Pennsylvania. A March 2023 study from Goldman Sachs said AI could perform 44% of the tasks that U.S. and European legal assistants typically handle. GPT-4, OpenAI's latest and greatest language model, passed the Uniform Bar Examination in the 90th percentile.
8. Marketing
AI can automate marketing-related tasks such as personalized content creation, customer segmentation, social media management and data analysis. Generative AI tools can help marketers create marketing content, personalize sales emails and score leads at a faster rate than humans can. AI can also help SEO marketers optimize content with meta descriptions and title tags, and solidify a consistent brand voice across marketing materials.
9. Manufacturing
In manufacturing, AI has long played a critical role in automating repetitive, rote physical tasks. By using AI and robots to automate assembly line tasks such as product assembly, welding and packaging, manufacturers can benefit. Computer vision systems in manufacturing can identify flaws in the product using machine learning and sensor data. AI systems integrated with robots have the potential to increase precision, productivity and quality, reducing downtime on the assembly line and in manufacturing more broadly.
10. Teachers
Teachers could be affected by AI in several ways. The immediate concern is that they will have a harder time detecting plagiarism or students cheating on assignments. But AI could help teachers by doing the following:
* Acting as productivity tools.
* Drafting lesson plans.
* Generating quiz questions and mock tests.
11. Travel and tourism
AI can help travelers discover new destinations and travel opportunities. AI assistants and chatbots let users book flights, rent vehicles and find accommodations online and offer a personalized booking experience. AI can also perform flight forecasting, which helps prospective travelers find the cheapest time to book a flight based on automated analysis of historical price patterns.
12. Translators
AI has the potential to affect the translation services industry. AI improves the capability of translation services, enabling automated, real-time translation in multiple languages. Translation requires a certain level of nuance, as translators need to be able to interpret body language and emotions of the speaker or in the text they are translating.
13. Finance
AI is also making an impact on finance and banking. GenAI could be used to monitor transactions and give detailed financial advice on how to save and spend efficiently. For example, Morgan Stanley uses AI-powered chatbots to organize its database.
14. Graphic designers
Adobe Photoshop's new Generative Fill feature is one example of the way generative AI can augment the graphic design profession. The feature lets people without photo editing experience make photorealistic edits using a text prompt. Other tools -- such as Dall-E and Midjourney -- also create realistic-looking images and detailed artistic renderings.
15. Sales
AI can help sales teams by automating tasks such as lead generation, data entry, and sales forecasting. AI-powered chatbots can also help sales teams by providing personalized customer support and answering frequently asked questions.
16. Human resources
AI can help human resources teams by automating tasks such as recruitment, employee onboarding, and benefits administration. AI-powered chatbots can also help human resources teams by providing personalized employee support and answering frequently asked questions.
17. IT
AI can help IT teams by automating tasks such as network monitoring, cybersecurity, and data analysis. AI-powered chatbots can also help IT teams by providing personalized technical support and answering frequently asked questions.
18. Healthcare
AI can help healthcare teams by automating tasks such as medical diagnosis, patient data analysis, and medical research. AI-powered chatbots can also help healthcare teams by providing personalized patient support and answering frequently asked questions.
|
1 month ago
|
TechTarget
|
data:image/jpeg;base64,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
| 14 |
AI job creation vs elimination
|
2025-06-17 14:02:50
| null |
AI Will Not Eliminate Jobs
|
https://www.forbes.com/sites/shephyken/2023/08/27/ai-will-not-eliminate-jobs/
|
That title is a bold statement in a world where AI, ChatGPT and other technologies are doing many tasks that employees have typically...
|
AI will not eliminate jobs—but it will change the job market. gettyThat title is a bold statement in a world where AI, ChatGPT and other
technologies are doing many tasks that employees have typically performed.
Sometimes, the technologies perform even better.Earlier this year, Goldman Sachs economists predicted that generative AI
tools could impact 300 million full-time jobs worldwide, which could lead
to a significant disruption in the job market. That is a lot of jobs, but
it’s important to note that the word used was “disrupt,” not “eliminate.”
According to Statista, there are approximately 3.32 billion workers in the
world. At first, one might think that 300 million is just 10% of the 3.32
billion workers on the planet, but consider some of these jobs fall under
the labor category and won’t be impacted at the level other jobs are.While it may appear to be doom and gloom for many employees, I have a
rosier outlook. I’m not so naïve to think AI won’t eliminate any jobs. Of
course, there will be some elimination, but perhaps we should be more
focused on the word “displacement” when discussing AI’s impact. If you look
at trends in business, it’s very typical that as one product becomes
obsolete, another product resurfaces and replaces lost jobs. For example,
the vinyl record industry lost out to 8-track tapes, which were eventually
replaced by cassette tapes, followed by CDs, which now are being replaced
by streaming services. In the music industry, the jobs shifted to new
products, or people found similar work in other industries.As new technologies like AI and ChatGPT increase in capability, employees
must be flexible, learn new skills and be willing to go where the jobs are
available. One of the big areas of concern is the customer service and
support world.Almost everyone has experienced a digital self-service customer support
tool like a chatbot or interactive voice response system. My annual
customer experience research found that just 31% of customers prefer using
these self-service digital customer support solutions. The phone still
continues to be the No. 1 preferred method of communication.MORE FROM FORBES ADVISORBest Travel Insurance CompaniesBy Amy Danise,
EditorBest Covid-19 Travel Insurance PlansBy Amy Danise, EditorI had the opportunity to collaborate with Capterra on its recent CX survey
to understand how companies are investing in technology that drives a
better customer experience. The Capterra 2023 CX Investments Survey was
conducted in June 2023 to explore CX strategies and investment decisions at
U.S. businesses with 5,000 or fewer employees with respondents being
decision-makers at the manager level. When we asked about the impact AI has
on increasing or decreasing CX staff, here’s what we found:· 63% of companies have increased staff.· 28% indicate no change.· Just 9% of have reduced staff as a result of AI.With all the hyperbole surrounding the elimination of jobs in the customer
support world, only 9% of companies have reduced staff, far from
eliminating all staff. In fact, the majority of companies increased staff.
What AI and other technologies are doing in the customer support world is
taking care of lower-level questions and problems that simply require
automated responses, allowing agents to focus on bigger, more complicated
issues. function loadConnatixScript(document) { if (!window.cnxel) { window.cnxel
= {}; window.cnxel.cmd = []; var iframe = document.createElement('iframe');
iframe.style.display = 'none'; iframe.onload = function() { var iframeDoc =
iframe.contentWindow.document; var script =
iframeDoc.createElement('script'); script.src =
'//cd.elements.video/player.js' + '?cid=' +
'62cec241-7d09-4462-afc2-f72f8d8ef40a'; script.setAttribute('defer', '1');
script.setAttribute('type', 'text/javascript');
iframeDoc.body.appendChild(script); }; document.head.appendChild(iframe);
const preloadResourcesEndpoint =
'https://cds.elements.video/a/preload-resources-ovp.json';
fetch(preloadResourcesEndpoint, { priority: 'low' }) .then(response => { if
(!response.ok) { throw new Error('Network response was not ok',
preloadResourcesEndpoint); } return response.json(); }) .then(data => {
const cssUrl = data.css; const cssUrlLink = document.createElement('link');
cssUrlLink.rel = 'stylesheet'; cssUrlLink.href = cssUrl; cssUrlLink.as =
'style'; cssUrlLink.media = 'print'; cssUrlLink.onload = function() {
this.media = 'all'; }; document.head.appendChild(cssUrlLink); const hls =
data.hls; const hlsScript = document.createElement('script'); hlsScript.src
= hls; hlsScript.setAttribute('defer', '1'); hlsScript.setAttribute('type',
'text/javascript'); document.head.appendChild(hlsScript); }).catch(error =>
{ console.error('There was a problem with the fetch operation:', error);
}); } } loadConnatixScript(document); As an example, it was in the 1990s when airlines started selling tickets
online. Before that, the only way to purchase a ticket was to call and make
a reservation or go to the airport. In just a few years, almost all
airlines were going digital. The customer service agents, also known as
reservationists, feared for their jobs. While the shift to passengers
booking their own tickets reduced the demand for traditional travel and
reservation agents, new jobs were created in the airline industry. More
employees were needed to manage and maintain online booking platforms and
to support passengers with problems or more complicated travel itineraries.
Furthermore, the convenience and accessibility of online reservations made
air travel more accessible to more people, allowing airlines to expand
their operations, and in turn, hire more customer service agents and other
employees important to the overall passenger experience.The airline example is similar to many other industries. Undoubtedly, AI
eliminates some jobs, especially those requiring low cognitive skills, but
it also creates new jobs due to the need for people to develop, maintain
and improve new technologies. And consider that new industries will be
discovered and developed because of more advanced technologies. They will
need workers.The point of all this goes back to the title of this article. AI will not
eliminate jobs—but it will change the job market. Just as some people see a
glass of water as half-full or half-empty, you can decide if AI will create
scary or exciting times.
|
21 months ago
|
Forbes
|
data:image/jpeg;base64,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
| 15 |
AI job creation vs elimination
|
2025-06-17 14:02:50
| null |
Understanding the impact of automation on workers, jobs, and wages
|
https://www.brookings.edu/articles/understanding-the-impact-of-automation-on-workers-jobs-and-wages/
|
This is the second in a series of blogs sharing insights from the new book “Shifting Paradigms: Growth, Finance, Jobs, and Inequality in the...
|
Understanding the impact of automation on workers, jobs, and wages
|
40 months ago
|
Brookings
|
data:image/jpeg;base64,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
| 16 |
AI job creation vs elimination
|
2025-06-17 14:02:50
| null |
A.I.’s Threat to Jobs Prompts Question of Who Protects Workers (Published 2023)
|
https://www.nytimes.com/2023/05/23/business/jobs-protections-artificial-intelligence.html
|
When Congress held a series of hearings on jobs and technological advancement in October 1955, the head of a railroad worker organization...
|
When Congress held a series of hearings on jobs and technological advancement in October 1955, the head of a railroad worker organization took the stand to express his fears about automation. “There is uneasiness among our workers as they assess the advance of the new technology,” said W.P. Kennedy, president of the Brotherhood of Railroad Trainmen. “Will it bring increasing unemployment rather than economic security?”
Listen to This Article
The same question could have been raised before Congress last week in its hearing on artificial intelligence. In effect, it was.
Sam Altman, chief executive of the San Francisco start-up OpenAI, testified last Tuesday before members of a Senate subcommittee, urging the government to regulate the fast-growing A.I. industry. Congressional leaders shared their worries about the threats that A.I. could pose, including the spread of misinformation and privacy violations.
One of their most emphatic concerns was job displacement: Who will assume responsibility to protect workers whose jobs might be transformed, or even eliminated, by generative A.I.?
Senator Richard Blumenthal, Democrat of Connecticut, declared that his “biggest nightmare in the long term” is the job loss that A.I. could cause, before saying to Mr. Altman, “Let me ask you what your biggest nightmare is.”
“There will be an impact on jobs,” Mr. Altman replied. “And I think it will require partnership between the industry and government, but mostly action by government.”
Mr. Altman, like so many other executives unleashing new technologies on the world, has asked the government to assume the bulk of responsibility in supporting workers through the labor market disruptions prompted by A.I. It’s not yet clear how government will rise to that task.
Generative A.I. could automate activities equivalent to 300 million full-time jobs globally, according to a recent estimate by Goldman Sachs. Already the chief executive of IBM said he expected A.I. to affect white-collar clerical staffing, eliminating the need for up to 30 percent of certain roles while creating new ones. The White House on Tuesday is hosting workers for a discussion of their experiences with automation and monitoring technologies in the workplace.
Editors’ Picks
Mysterious Ancient Humans Now Have a Face
Why Was Justin Bieber Fighting With Paparazzi?
Leonard Lauder, a Consummate New Yorker
Historically, when automation has led to job loss, the economic impact has tended to be offset by the creation of new jobs. Generative artificial intelligence, according to the Goldman report, could raise America’s labor productivity growth by nearly 1.5 percentage points per year over a decade. It could increase annual global gross domestic product by 7 percent. It could give rise to previously unimagined creative occupations.
But there will be immense instability for displaced workers. Automation has been a significant driver of income inequality in America, according to a study from researchers at the Massachusetts Institute of Technology and Boston University. By their estimates, 50 to 70 percent of changes in the U.S. wage structure since 1980 were due to loss of income among blue-collar and office workers because of automation.
Areas of the country where robots have been adopted most intensively, particularly manufacturing-heavy parts of the Midwest, have also seen the most precipitous declines in employment, according to research from Daron Acemoglu, an economist at M.I.T.
While makers of A.I. have tended to focus on the technology’s potential for job creation, many workers will experience painful disruption as they try to train for and find new roles that pay well and are fulfilling.
“We’ve never been in a period where the scope of automation is so wide potentially,” said Harry Holzer, an economist at Georgetown. “Historically if your job gets automated, you find something new. With A.I. the thing that’s kind of scary is it could simply grow and take over more tasks. It’s a moving target.”
Workers in administrative and clerical support may have particular cause for concern about generative A.I., according to the Goldman research. And many of them are already expressing anxieties.
“It’s definitely scary,” said Justin Felt, 41, a customer service worker in Pittsburgh, who has worked for Verizon Fios for nearly 12 years. He feels that employers have not been entirely upfront with their workers about the ways they are incorporating generative A.I. into customer support roles, he said. “It’s definitely taking our work.”
These technologies are flooding into workplaces at a rapid clip. BuzzFeed just introduced a chatbot that offers up recipe recommendations, McKinsey is helping clients use A.I. to fix technological bugs and the accounting firm KPMG is using ChatGPT to generate code. So some economists have begun putting forward proposals to protect the workers most likely to be affected.
Workers could benefit, for example, from paid leave policies that allow them to take time away from their jobs to develop new skills. Germany already has a similar program, in which workers in most German states can take at least five paid days a year for educational courses, an initiative the labor minister recently said he planned to expand.
Another possibility is a displacement tax, levied on employers when a worker’s job is automated but the person is not retrained, which could make businesses more inclined to retrain workers. The government could also offer A.I. companies financial incentives to create products designed to augment what workers do, rather than replace them — for example, A.I. that provides TV writers with research but doesn’t draft scripts, which are likely to be of low quality.
“If the government sets the agenda in developing technologies that are more complementary to humans, that would be very important,” Mr. Acemoglu said. “Industry is looking to the government for leadership.”
The government’s previous efforts to support workers through periods of job displacement have had mixed results. A study of Trade Adjustment Assistance, a U.S. government program that provides financial assistance and training for workers who lose jobs because of trade, found that manufacturing employees who temporarily dropped out of the work force to participate in the program in the early 2000s still hadn’t caught up on earnings several years later compared with workers who lost jobs but didn’t qualify for T.A.A. support.
Many economists say employers could also play a role in helping displaced workers.
“Business always looks to government to deal with job loss,” said Simon Johnson, a professor at M.I.T. and a co-author with Mr. Acemoglu of the book “Power and Progress.” “But Microsoft and Alphabet — they are in the driver’s seat, in regards to where they choose to put their technological resources.”
Workers could benefit, for example, from employer apprenticeships and retraining programs. The accounting giant PwC recently announced a $1 billion investment in generative A.I., which includes efforts to train its 65,000 workers on how to use A.I. What spurred the initiative was the chief executive’s trip to the World Economic Forum’s gathering in Davos, Switzerland, where he heard constant discussion of generative A.I.
“A number of us walking out of that room knew something had changed,” recalled Joe Atkinson, the company’s chief products and technology officer.
PwC’s workers have expressed fears about displacement, according to Mr. Atkinson, especially as their company explores automating roles with generative A.I. Mr. Atkinson stressed, though, that PwC planned to retrain people with new technical skills so their work would change but their jobs wouldn’t be eliminated.
Some tech companies are offering employees courses in cloud computing, cybersecurity and generative A.I. Among them is IBM, which also has an apprenticeship program that trains workers, including those without four-year degrees, for high-paying roles in fields like software development and data science. The company C3 AI offers its 1,000 employees bonuses of $250 to $1,500 for becoming certified in technological subjects including A.I. and cloud computing. KPMG is working to train every one of its employees to use generative A.I.
Community colleges are intensifying their focus on A.I., too. Miami Dade College has received over $15 million in grants for its technology programs, with some of the money used to open two centers focused on preparing students for careers in A.I. Houston Community College recently announced a bachelor’s degree in A.I. and robotics, and Southwest Tennessee Community College is working to create an associate degree. The American Association of Community Colleges launched an A.I. incubator network focused on helping faculty teach about A.I. and colleges create A.I. degrees.
“As Wayne Gretzky once said when asked about his success, ‘I skate to where the puck is going,’” said Dennis Natali, a professor at Pikes Peak State College in Colorado, which released a plan this year to roll out A.I. certificates. “Our college constantly assesses the work force landscape and prepares to support displaced workers.”
As colleges and businesses scramble to retrain workers, some experts are optimistic about this technological transition. They note that throughout history people have feared technological advancement but often ended up benefiting from it, going back to the Luddites, weavers who protested the mechanization of the textile industry.
But that doesn’t mean the transition period will unfold smoothly. Michael Chui, an A.I. expert at McKinsey, pointed out that even the Luddites saw their income stagnate for decades.
“Anyone who loses their job involuntarily — it’s a difficult time,” he said. “In some ways the Luddites weren’t wrong about the risk.”
|
24 months ago
|
The New York Times
|
data:image/jpeg;base64,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
| 17 |
AI job creation vs elimination
|
2025-06-17 14:02:50
| null |
See how the future of jobs is changing in the age of AI
|
https://www.weforum.org/stories/2023/05/future-of-jobs-in-the-age-of-ai-sustainability-and-deglobalization/
|
The World Economic Forum's Future of Jobs Report 2023 shows how to empower people in a world of economic uncertainty, sustainability and...
|
Future of jobs in the age of AI, sustainability and deglobalization
The world is at a critical juncture as it grapples with the challenges of AI, sustainability and deglobalization These megatrends are redefining the future of work, and it is imperative that we understand their implications on the job market.
On one hand, technological advancements, particularly AI, are automating routine tasks, freeing humans from mundane work and enabling them to focus on high-value tasks that require creativity, critical thinking, and problem-solving skills. On the other hand, the increasing use of AI and automation is also leading to job displacement, as machines and algorithms take over tasks that were previously performed by humans.
Moreover, the shift towards sustainability is driving the growth of new industries and job opportunities in areas such as renewable energy, green infrastructure, and sustainable agriculture. However, it also poses significant challenges for workers in industries that are heavily reliant on fossil fuels and other non-renewable resources.
The trend of deglobalization, characterized by rising protectionism and trade tensions, is also having a profound impact on the job market. As countries increasingly focus on domestic production and consumption, there may be fewer job opportunities in industries that rely heavily on international trade.
To navigate this uncertain landscape, it is essential that workers acquire skills that are complementary to AI and automation, such as data analysis, digital literacy, and soft skills like communication, empathy, and teamwork. Governments, educational institutions, and employers must also work together to provide workers with the training and support they need to adapt to the changing job market.
Ultimately, the future of work will depend on our ability to harness the potential of AI, sustainability, and deglobalization to create new job opportunities, promote economic growth, and ensure that the benefits of technological progress are shared by all. By working together, we can build a future where workers are equipped with the skills they need to thrive in an rapidly changing world.
Author World Economic Forum
Publication date 2023
Maximum Storage Duration Persistent
Type HTML Local Storage
|
25 months ago
|
The World Economic Forum
|
data:image/jpeg;base64,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
| 20 |
AI job creation vs elimination
|
2025-06-17 14:02:50
| null |
AI could eliminate nearly 8 million jobs in UK, study shows
|
https://abcnews.go.com/Business/ai-eliminate-8-million-jobs-uk-study-shows/story?id=108540016
|
Artificial intelligence could eliminate up to nearly 8 million jobs in the United Kingdom, according to a new study.
|
AI could eliminate nearly 8 million jobs in UK, study shows
The technology could herald a "job apocalypse," the study said.
By Max Zahn
March 27, 2024, 3:05 PM
Artificial intelligence could eliminate up to nearly 8 million jobs in the United Kingdom, according to a new study, which cautions that women and early-career employees are most at risk of being put out of work.
Government policy, however, could allow the U.K. to avert job losses and harness AI for a breakneck economic surge, according to the left-leaning Institute for Public Policy Research, the think tank that authored the report.
“The world of knowledge work will be transformed by generative AI,” the report said, referring to a type of AI that can create content, such as text or images. “We need to start preparing for this now.”
Researchers analyzed 22,000 tasks carried out by workers across the U.K. economy, finding that 11% are currently exposed to the threat of displacement by AI, the study said. The jobs at greatest risk include entry-level, part-time and administrative roles -- a set of positions disproportionately held by women, the study added.
The report describes a soon-to-begin phase of AI adoption during which some of these “low-hanging fruit” jobs will be replaced by the technology. The overall workforce impact over the period could be limited, the study said, but some roles will experience massive effects, such as the elimination of one-third of administrative jobs.
A second phase could bring much deeper integration of AI that will threaten up to 59% of tasks, the report said. If companies allow AI to access proprietary information and execute key tasks, the study said, the resulting disruption may slash a wider swathe of jobs, including a larger share of high-paying positions.
While offering up potential outcomes, the study acknowledged that a wide range of job-displacement scenarios remains possible, including the potential for job losses to be avoided entirely.
Experts who spoke to ABC News last year noted the absence of job losses during a surge of AI adoption over the course of the COVID-19 pandemic.
Artificial intelligence could displace roughly 15% of workers, or 400 million people, worldwide between 2016 and 2030, according to a McKinsey study released in 2018. In a scenario of wide AI adoption, the share of jobs displaced could rise to as much as 30%, the firm found.
The report out on Tuesday presented policy proposals that the authors believe could reduce the likelihood of job losses and heighten the possibility of an AI-induced economic boom.
A policy described by the report as “ringfencing,” for example, would mandate the continued use of human involvement for certain tasks, such as medical diagnoses. A combination of government incentives and public-private partnerships could help achieve the measure.
In its most optimistic potential scenario, the report outlines a future of AI adoption in which no jobs are lost and gross domestic product increases by 13%.
“There is no one predetermined path for how AI implementation will play out,” the report's authors said.
|
14 months ago
|
ABC News
|
data:image/jpeg;base64,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
| 23 |
AI job creation vs elimination
|
2025-06-17 14:02:50
| null |
These Skills and Jobs Will Be Most in Demand as AI Churns the Market
|
https://singularityhub.com/2023/05/03/a-quarter-of-jobs-will-change-in-the-next-5-years/
|
Technology and digitization will cause labor market churn, but big data and AI will drive more job growth than anything else.
|
A Quarter of Jobs Will Change in the Next 5 Years
By Vanessa Bates Ramirez
May 3, 2023
The world of work is changing fast, and the next five years will see significant shifts in the jobs market. According to a report by the World Economic Forum, by 2028, a quarter of the jobs that exist today will not exist, while new roles will emerge to replace them.
The report analyzed data from LinkedIn and other sources to identify the skills that will be most in demand in the coming years. It found that skills like data analysis, programming, and digital marketing will be highly valued, while skills like bookkeeping and data entry will become less important.
The report also identified several emerging roles that will become more prominent in the next five years, including:
* AI and machine learning specialists
* Data scientists and analysts
* Cybersecurity specialists
* Digital transformation specialists
* Environmental sustainability specialists
These new roles will require workers to have skills like creativity, problem-solving, and critical thinking, as well as the ability to work with emerging technologies like AI and blockchain.
The shift in the jobs market will be driven by technological change, demographic shifts, and the need for businesses to adapt to a rapidly changing environment. Workers who are able to upskill and reskill will be best placed to take advantage of the new opportunities that emerge.
According to the report, the top 10 skills that will be most in demand in the next five years are:
1. Data analysis and interpretation
2. Programming and software development
3. Digital marketing and social media
4. Cloud computing and management
5. Artificial intelligence and machine learning
6. Cybersecurity and data protection
7. Creative problem-solving and critical thinking
8. Communication and collaboration
9. Emotional intelligence and empathy
10. Adaptability and continuous learning
The report concludes that workers who are able to develop these skills will be well-placed to succeed in the changing jobs market, while businesses that are able to adapt to the shifting landscape will be best placed to thrive.
|
25 months ago
|
SingularityHub
|
data:image/jpeg;base64,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
| 24 |
AI job creation vs elimination
|
2025-06-17 14:02:50
| null |
Does technology help or hurt employment?
|
https://news.mit.edu/2024/does-technology-help-or-hurt-employment-0401
|
Economists used new methods to examine how many U.S. jobs have been lost to machine automation, and how many have been created as technology...
|
# Does technology help or hurt employment?
Combing through 35,000 job categories in U.S. census data, economists found a new way to quantify technology’s effects on job loss and creation.
Peter Dizikes | MIT News
Publication Date:
April 1, 2024
Ever since the Luddites were destroying machine looms, it has been obvious that new technologies can wipe out jobs. But technical innovations also create new jobs: Consider a computer programmer, or someone installing solar panels on a roof.
Overall, does technology replace more jobs than it creates? What is the net balance between these two things? Until now, that has not been measured. But a new research project led by MIT economist David Autor has developed an answer, at least for U.S. history since 1940.
The study uses new methods to examine how many jobs have been lost to machine automation, and how many have been generated through “augmentation,” in which technology creates new tasks. On net, the study finds, and particularly since 1980, technology has replaced more U.S. jobs than it has generated.
“There does appear to be a faster rate of automation, and a slower rate of augmentation, in the last four decades, from 1980 to the present, than in the four decades prior,” says Autor, co-author of a newly published paper detailing the results.
However, that finding is only one of the study’s advances. The researchers have also developed an entirely new method for studying the issue, based on an analysis of tens of thousands of U.S. census job categories in relation to a comprehensive look at the text of U.S. patents over the last century. That has allowed them, for the first time, to quantify the effects of technology over both job loss and job creation.
Previously, scholars had largely just been able to quantify job losses produced by new technologies, not job gains.
“I feel like a paleontologist who was looking for dinosaur bones that we thought must have existed, but had not been able to find until now,” Autor says. “I think this research breaks ground on things that we suspected were true, but we did not have direct proof of them before this study.”
The paper, “[New Frontiers: The Origins and Content of New Work, 1940-2018](https://academic.oup.com/qje/advance-article/doi/10.1093/qje/qjae008/7630187),” appears in the _Quarterly Journal of Economics_. The co-authors are Autor, the Ford Professor of Economics; Caroline Chin, a PhD student in economics at MIT; Anna Salomons, a professor in the School of Economics at Utrecht University; and Bryan Seegmiller SM ’20, PhD ’22, an assistant professor at the Kellogg School of Northwestern University.
**Automation versus augmentation**
The study finds that overall, about 60 percent of jobs in the U.S. represent new types of work, which have been created since 1940. A century ago, that computer programmer may have been working on a farm.
To determine this, Autor and his colleagues combed through about 35,000 job categories listed in the U.S. Census Bureau reports, tracking how they emerge over time. They also used natural language processing tools to analyze the text of every U.S. patent filed since 1920. The research examined how words were “embedded” in the census and patent documents to unearth related passages of text. That allowed them to determine links between new technologies and their effects on employment.
“You can think of automation as a machine that takes a job’s inputs and does it for the worker,” Autor explains. “We think of augmentation as a technology that increases the variety of things that people can do, the quality of things people can do, or their productivity.”
From about 1940 through 1980, for instance, jobs like elevator operator and typesetter tended to get automated. But at the same time, more workers filled roles such as shipping and receiving clerks, buyers and department heads, and civil and aeronautical engineers, where technology created a need for more employees.
From 1980 through 2018, the ranks of cabinetmakers and machinists, among others, have been thinned by automation, while, for instance, industrial engineers, and operations and systems researchers and analysts, have enjoyed growth.
Ultimately, the research suggests that the negative effects of automation on employment were more than twice as great in the 1980-2018 period as in the 1940-1980 period. There was a more modest, and positive, change in the effect of augmentation on employment in 1980-2018, as compared to 1940-1980.
“There’s no law these things have to be one-for-one balanced, although there’s been no period where we haven’t also created new work,” Autor observes.
**What will AI do?**
The research also uncovers many nuances in this process, though, since automation and augmentation often occur within the same industries. It is not just that technology decimates the ranks of farmers while creating air traffic controllers. Within the same large manufacturing firm, for example, there may be fewer machinists but more systems analysts.
Relatedly, over the last 40 years, technological trends have exacerbated a gap in wages in the U.S., with highly educated professionals being more likely to work in new fields, which themselves are split between high-paying and lower-income jobs.
“The new work is bifurcated,” Autor says. “As old work has been erased in the middle, new work has grown on either side.”
As the research also shows, technology is not the only thing driving new work. Demographic shifts also lie behind growth in numerous sectors of the service industries. Intriguingly, the new research also suggests that large-scale consumer demand also drives technological innovation. Inventions are not just supplied by bright people thinking outside the box, but in response to clear societal needs.
The 80 years of data also suggest that future pathways for innovation, and the employment implications, are hard to forecast. Consider the possible uses of AI in workplaces.
“AI is really different,” Autor says. “It may substitute some high-skill expertise but may complement decision-making tasks. I think we’re in an era where we have this new tool and we don’t know what’s good for. New technologies have strengths and weaknesses and it takes a while to figure them out. GPS was invented for military purposes, and it took decades for it to be in smartphones.”
He adds: “We’re hoping our research approach gives us the ability to say more about that going forward.”
As Autor recognizes, there is room for the research team’s methods to be further refined. For now, he believes the research open up new ground for study.
“The missing link was documenting and quantifying how much technology augments people’s jobs,” Autor says. “All the prior measures just showed automation and its effects on displacing workers. We were amazed we could identify, classify, and quantify augmentation. So that itself, to me, is pretty foundational.”
Support for the research was provided, in part, by The Carnegie Corporation; Google; Instituut Gak; the MIT Work of the Future Task Force; Schmidt Futures; the Smith Richardson Foundation; and the Washington Center for Equitable Growth.
|
14 months ago
|
MIT News
|
data:image/jpeg;base64,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
| 25 |
AI job creation vs elimination
|
2025-06-17 14:02:50
| null |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.