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AI eliminated nearly 4,000 jobs in May, report says
https://www.cbsnews.com/news/ai-job-losses-artificial-intelligence-challenger-report/
A report of U.S. job cuts showed roughly 5% of job losses in May were due to AI technology.
AI eliminated nearly 4,000 jobs in May, report says By Elizabeth Napolitano Edited By Irina Ivanova, Anne Marie D. Lee June 2, 2023 / 5:59 PM EDT / MoneyWatch For those wondering when AI will start replacing human jobs, the answer is it already has. Artificial intelligence contributed to nearly 4,000 job losses last month, according to data from Challenger, Gray & Christmas, as interest in the rapidly evolving technology's ability to perform advanced organizational tasks and lighten workloads has intensified. The report released Thursday by the outplacement firm shows that layoff announcements from U.S.-based employers reached more than 80,000 in May — a 20% jump from the prior month and nearly four times the level for the same month last year. Of those cuts, AI was responsible for 3,900, or roughly 5% of all jobs lost, making it the seventh-highest contributor to employment losses in May cited by employers. The job cuts come as businesses waste no time adopting advanced AI technology to automate a range of tasks — including creative work, such as writing, as well as administrative and clerical work. The AI industry is expected to grow to more than $1 trillion fueled by major technological advancements that became apparent last fall with the launch of OpenAI's ChatGPT bot, a report by Bloomberg Intelligence analysts shows. These jobs are most likely to be replaced by chatbots like ChatGPT ChatGPT bot passes law school exam This is the first time AI was included on the Challenger report, but not the first time the rapidly advancing technology has made headlines for replacing humans. The Washington Post reported this week on two copywriters who lost their livelihoods because employers (or clients) decided that ChatGPT could perform the job at a cheaper price. Media companies such as CNET have already laid off reporters while using AI to write articles, which later had to be corrected for plagiarism. Earlier this year, an eating disorder helpline used a chatbot to replace human staff members who had unionized. It recently had to pull the plug on the bot after it gave people problematic dieting advice. In March, investment bank Goldman Sachs predicted in a report that AI could eventually replace 300 million full-time jobs globally and affect nearly one-fifth of employment — with a particular hit to white-collar jobs often considered automation-proof, such as administrative and legal professions. AI is also a concern in the TV and entertainment writers' strike that began in May, with writers demanding better pay and job security in addition to a near-total ban on the use of AI to produce written entertainment content. But analysts note that as with previous technology that has replaced human workers, generative AI is already creating new jobs, and the burgeoning industry is just getting started. "Generative AI is expected to become a monster employment generator because of estimates of a mushrooming $1.3 trillion AI market that will boost sales and ad spending for the Tech industry," Ben Emons, a principal at NewEdge Wealth, said Friday in a note.
24 months ago
CBS News
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26
AI job creation vs elimination
2025-06-17 14:02:50
null
AI is going to eliminate way more jobs than anyone realizes
https://www.businessinsider.com/ai-radically-reshape-job-market-global-economy-employee-labor-innovation-2023-8
AI is a tsunami about to upend the global economy, throwing 300 million jobs into mayhem and forcing half the workforce to learn new skills.
AI is going to eliminate way more jobs than anyone realizes The AI revolution is about to crash into the global economy and upend millions of jobs. Emil Skandul Aug 14, 2023, 10:00 AM UTC A tidal wave is about to crash into the global economy. The rise of artificial intelligence has captured our imagination for decades, in whimsical movies and sober academic texts. Despite this speculation, the emergence of public, easy-to-use AI tools over the past year has been a jolt, like the future arrived years ahead of schedule. Now this long-expected, all-too-sudden technological revolution is ready to upend the economy. A March Goldman Sachs report found over 300 million jobs around the world could be disrupted by AI, and the global consulting firm McKinsey estimated at least 12 million Americans would change to another field of work by 2030. A "gale of creative destruction," as economist Joseph Schumpeter once described it, will blow away countless firms and breathe life into new industries. It won't be all bleak: Over the coming decades, nongenerative and generative AI are estimated to add between $17 trillion and $26 trillion to the global economy. And crucially, many of the jobs that will be lost will be replaced by new ones. The crescendo for this technological wave is surging, and we are at just the beginning of this upheaval that will ripple through the labor market and global economy. It's likely to be a transformation as influential as the industrial revolution and the rise of the internet. The changes could boost living standards, improve productivity, and accelerate economic opportunities, but this rosy future is not guaranteed. Unless governments, CEOs, and workers properly prepare for the upsurge with urgency, the AI revolution could be painful. The adoption of groundbreaking technology is often hard to predict. Take the internet: In 1995, Newsweek published an article titled, "Why the Web Won't Be Nirvana," making the case that books and airline tickets would never be purchased over the internet. Later that year, Bill Gates was asked by an unconvinced David Letterman, "What about this internet thing?" Even three years later, as adoption grew, the economist Paul Krugman famously declared that the internet's influence would be no greater than that of the fax machine. In hindsight, it's clear that the internet's effects couldn't have been any more miscalculated. Part of the reason for the initial skepticism was that the influence of the internet was uneven and slow at first but quickly grew as more people learned how it worked. "The rule for exponential curves is that they changed the world slowly at first, and then suddenly," Erik Brynjolfsson, a Stanford University innovation economist, told me. The arrival of AI presents similar unknowns — but the growth curve is becoming clear much quicker. In 2017, McKinsey estimated that robust large language models such as GPT-4 would be developed by 2027. But they are already here. And seemingly overnight, OpenAI's generative AI was integrated into Microsoft products, and in the span of a few months, corporate giants including Amazon, AT&T, Salesforce, and Cisco have rushed to incorporate enterprise-grade AI tools. McKinsey's latest report predicted that somewhere between 2030 and 2060, half of today's work tasks would be automated. Their best guess as to when this will happen — 2045 — is almost a decade earlier than previously estimated. Things are changing fast. And as adoption picks up, so will the downstream effects of the technology. The World Economic Forum estimated 83 million jobs worldwide would be lost over the next five years because of AI, with 69 million jobs created — that leaves 14 million jobs that will cease to exist during that timeframe. Even the people who do retain their jobs will experience a massive shift in how they do their work: The World Economic Forum says that 44% of workers' core skills are expected to change in the next five years. > "I do not think we'll see mass unemployment. But I do think we'll see mass disruption." Stanford economist Erik Brynjolfsson Past automation technologies had the most effect on low-skilled workers. But with generative AI, the more educated and highly skilled workers who previously were immune to automation are vulnerable. According to the International Labor Organization, there are between 644 and 997 million knowledge workers globally, between 20% and 30% of total global employment. In the US, the knowledge-worker class is estimated to be nearly 100 million workers, one out of three Americans. A broad spectrum of occupations — marketing and sales, software engineering, research and development, accounting, financial advising, and writing, to name a few — is at risk of being automated away or evolving. This doesn't mean, however, that there will be a flood of unemployed workers begging for any job. AI will lead to net job creation over the long run, and some roles that seem like they will be affected may actually grow in demand. For instance, ATMs increased the number of bank tellers. "I do not think we'll see mass unemployment," Brynjolfsson, who anticipates AI spreading faster than other general-purpose technologies, told me. "But I do think we'll see mass disruption, where a lot of wages for some jobs will fall, wages for other jobs will rise, and we'll be shifting around into demand for different kinds of skills. They'll have to be a lot of reallocation of labor and rescaling of labor with winners and losers." This shift will be so massive that we won't miss many of the jobs that disappear. Before the industrial revolution, the job of a human alarm clock was to wake up workers in the early-morning hours by tapping a broomstick on their window. Thanks to alarm clocks, no one misses this job today. Similarly with AI, there will be jobs that will be conveniently forgotten about. Permanent mass unemployment can safely be ruled out, but in the short term, the transition will be messy. If one-quarter of tasks across all US occupations were automated by AI, and one-third of workers' workload replaced, it would take only a small segment of the broad white-collar class to simultaneously experience job losses or transitions for it to...
22 months ago
Business Insider
data:image/jpeg;base64,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
27
AI job creation vs elimination
2025-06-17 14:02:50
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AI may take away jobs – but it’s creating some, too
https://www.csmonitor.com/Business/2024/0508/artificial-intelligence-unemployment-job-creation
Artificial intelligence, while eliminating some jobs, may improve productivity and lead to better customer satisfaction.
AI may take away jobs – but it’s creating some, too By Laurent Belsie and Leonardo Bevilacqua Staff writers May 08, 2024, 5:00 p.m. ET The 2023 predictions were scary. Artificial intelligence would: * Replace 300 million full-time jobs worldwide over time. * Encroach on tasks of 2 in 5 workers. * Drive a bigger wedge between rich people and poor people. So far, the impact of AI on the U.S. economy has proven far more limited. Examples of massive layoffs are less frequent than some expected. Some researchers now say the technology could help low-skilled workers more than it will hurt them. New technology always brings change and some people will lose their jobs even as new opportunities appear. But if the process unfolds over decades rather than a few years, then many employees and employers have time to adjust. A story focused on Prosperity Artificial intelligence, while eliminating some jobs, may improve productivity and lead to better customer satisfaction. Its effect on the U.S. economy so far has proved more moderate than expected. “Disruption is something we’ve seen over and over,” says Daniel Keum, a management professor at Columbia University. “Over time, new industries emerge. People learn how to be productive with the technology. ... But again, the bad news hits first.” Jay Johnson, who works in advertising in Chicago, was laid off recently. His industry is pushing hard to incorporate AI chatbots, which understand and generate humanlike speech, to analyze marketing trends and generate ad copy. As the sole provider for his wife and his two young children, he’s now looking for another job. “Challenges always exist,” he says. “It’s how we adapt and move through them.” Companies are adopting the new technology in various ways. Some emphasize efficiency. In March, IBM disclosed a “workforce rebalancing,” reportedly in marketing and communications, that will lay off several thousand employees. Another multinational company is using AI to step up its marketing game in South America, says Dr. Keum. Instead of launching one marketing campaign per month per country, it now targets specific consumers within those countries and updates the plans weekly. One sector feeling the heat: customer service. In February, Swedish consumer finance firm Klarna announced that AI was now handling two-thirds of its online chats with customers, doing the work of 700 full-time agents. Since the company uses contractors, Klarna didn’t have to fire anybody. It announced a hiring freeze instead. The company still relies on experienced workers to handle complex or sensitive cases, according to a spokesperson. It’s this human-machine collaboration – rethinking and redesigning work in light of AI – that will separate winnersfrom losers, says Erik Brynjolfsson, director of Stanford University’s Digital Economy Laboratory and co-founder of Workhelix, a consulting firm. In a research paper published last year, he and six co-authors found that the introduction of an AI assistant not only improved productivity of customer support workers at a large software firm, but also led to better customer satisfaction and reduced worker turnover. Moreover, the technology didn’t drive a wedge between the most- and least-skilled workers; it instead helped bridge the knowledge gap, Dr. Brynjolfsson adds. AI boosted productivity for new workers and the least skilled workers by 34%, while it had negligible effects for the most skilled. By investing in retraining and work redesign, while keeping people in charge, “you can create a huge amount of value for the customers,” he says. “That is a pretty optimistic story.” Which story is winning out – layoffs or happier, more productive employees – is hard to discern. Tech sector layoffs surged in 2023 as Amazon, Meta, Alphabet, and Microsoft poured billions of dollars into AI. The pace of firings has barely diminished this year with more than 75,000 employees laid off worldwide, according to Layoffs.fyi, a tracker of tech layoffs started by a Bay Area entrepreneur. While companies point to various factors, such as post-pandemic restructuring and cost-cutting, they’re increasingly hesitant to mention AI. Why? Companies may want to avoid public backlash for replacing people with machines, said Andrew Challenger, senior vice president of Challenger, Gray & Christmas, in a company press release in March. The Chicago-based outplacement firm started tracking AI-related layoffs last year and found 3,900 in a single month. By the first quarter of this year, that total had dwindled to 383 for all three months. Job losses are only part of the problem. Workers may find new jobs, but if those positions pay substantially less, their standard of living falls. That’s what happened to many manufacturing workers in the 1980s and 1990s, displaced by robotics and a wave of globalization. It’s happening now for a new class of well-educated workers. Those with high-level AI skills are in strong demand from companies eager to take advantage of the technology. “We’re hiring dozens,” says Robert Murphy, chief economist for Infineo, a tech company aiming to revolutionize life insurance through AI and blockchain technology. Some companies pay the most skilled workers $900,000 or more in salary and benefits. Three-quarters of knowledge workers say they already use AI on the job, nearly double the share of just six months ago, according to a Microsoft/LinkedIn survey of workers and employers in the United States and 30 other countries released Wednesday. “2024 is the year AI at work gets real.” Other well-educated workers have found themselves on the wrong side of the technology. After earning her Ph.D in art history in 2017, Allison Harbin became a researcher for academic journals. Once ChatGPT was released publicly in 2022, a fifth of her income dried up. She took a job doing “prompt engineering” – editing AI chatbots’ responses during their training. But the pay was low, and even with a new job, her income still isn’t stable. “Old jobs are going to be eliminated,” says Dr. Brynjolfsson of Stanford. “There’s just a lot of creative destruction and churn. [However], the tools [of AI], when used correctly, will help rebuild the middle class and will help create more widely shared prosperity.”
13 months ago
The Christian Science Monitor
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28
AI job creation vs elimination
2025-06-17 14:02:50
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Will AI Replace Humans? Job Security Explored
https://www.eweek.com/artificial-intelligence/will-ai-replace-jobs/
Will AI replace humans? Learn which professions are at risk and how to adapt your skills for an AI-driven economy.
# Will AI Replace Humans? Job Security Explored Artificial intelligence is becoming increasingly sophisticated, but will it ever replace humans? Experts predict it will affect some industries and some roles more than others. Learn what you need to know and what you can do to prepare yourself. Written by Sam Rinko Published August 27, 2024 As organizations across all industries increasingly integrate artificial intelligence into workflows, the technology is driving fears about the job market and the future of work. Will AI replace humans? The only clear answer is “maybe.” Some jobs are more likely to experience AI disruption than others, with those consisting mainly of rote tasks more at risk. Some white collar jobs are already seeing AI integrated into their workflows, while jobs that require complex physical movements and human judgment—think plumbing or construction—are unlikely to be replaced by AI anytime soon. And jobs that require social and emotional skills, like teaching and social work, may never be. So, will artificial intelligence replace humans at work? No one can be sure, but here’s everything you need to know to form your own opinion. ## KEY TAKEAWAYS * Artificial intelligence will not replace humans for all jobs but it will change the way we work as more workers use AI tools to increase productivity. * Jobs most at risk of AI disruption and replacement are those consisting mainly of repetitive tasks, while jobs least at risk are those requiring social, emotional and interpersonal skills. * Many AI experts predict that AI will open up more job opportunities than it removes from the economy, and that the technology will be a net positive for job growth in the near future. Like any new technology, artificial intelligence will cause job displacement in the near and distant future. According to a YouGov survey, 48 percent of working Americans believe that AI will decrease the number of jobs in their industry, a figure that has risen from 29 percent in March 2023. However, it’s unlikely the technology will replace all humans in the workforce. AI’s primary long-term effect on the labor market will probably be one of job change and creation, not elimination. Many experts believe AI will create more jobs than it makes obsolete. According to the World Economic Forum’s “Future of Jobs Report,” employers “anticipate a structural labor market churn of 23 percent of jobs in the next five years” and a disruption of 44 percent of workers’ skills. Overall, however, the labor market prediction is optimistic, with the impact of most technologies on jobs expected to be a net positive over the next five years. Some jobs are more likely to experience AI disruption than others. Jobs consisting mainly of rote tasks are more at risk of total elimination, while white collar jobs like data analysis, customer service, marketing, and programming are already seeing AI integrated into their workflows. Jobs that require complex physical movements along with human judgment are likely to go on without much AI disruption, at least for now. Jobs like teaching and social work rely on emotional intelligence and social skills, which AI cannot replicate. They may never experience AI replacement. Blue and white collar workers who leverage AI and learn to work alongside it are far safer than those who ignore it. AI’s effect is forecast to vary considerably based on sector. According to the International Monetary Fund, about 60 percent of jobs in advanced economies are exposed to AI disruption compared to 40 percent globally. Firms in these economies are more poised to integrate AI and, at least in theory, have the financial backing, educated workforce, fine-tuned processes, AI-forward attitudes, and advanced technologies to cost-efficiently exploit AI. Although generative AI has made an impact on marketing and data analysis jobs, it hasn’t caused significant layoffs—workers are using the tools rather than competing with them. So far, AI adoption is most prevalent in tech-driven industries like IT, finance, and education. Some jobs are in more danger than others. For now, at least, many of these at-risk positions are more likely to be changed by AI rather than eliminated by it, but that may change as AI continues to advance. Customer service representatives in call centers and businesses are already being replaced by AI chatbots. Some customers would rather interact with chatbots than speak to a human for simple queries like forgotten passwords, and this option is generally less costly for businesses. Data entry and administrative positions that primarily move data across systems and handle repetitive administrative tasks—for example, office managers, bookkeepers, assistants, and receptionists—are at high risk of being automated. Upskilling and learning how to take on more strategic components of the job can protect these workers from AI replacement and also give them the potential to do more meaningful, high-paying work. Drivers and transportation workers are also at risk, as AI technologies are being used to increase driver safety and efficiency rather than actually take over the driver’s seat. However, AI researchers recently predicted AI will outperform truck drivers by 2027, though autonomous trucks will likely still require human supervision. Autonomous vehicles also put transportation workers like Uber and Lyft drivers at risk.
9 months ago
eWEEK
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30
AI job creation vs elimination
2025-06-17 14:02:50
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Is AI Going To Be A Jobs Killer? New Reports About The Future Of Work
https://www.forbes.com/sites/gilpress/2019/07/15/is-ai-going-to-be-a-jobs-killer-new-reports-about-the-future-of-work/
New reports on the future of work provide mix data and opinions about whether AI-driven automation is going to eliminate more jobs than...
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71 months ago
Forbes
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31
AI job creation vs elimination
2025-06-17 14:02:50
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AI, Green Energy Will Change Nearly A Quarter Of Global Jobs By 2027
https://www.investopedia.com/ai-green-energy-change-quarter-of-global-jobs-7487318
Green energy, supply chain, AI, and tech will help drive job growth, while education, agriculture, and digital commerce will add the most...
# AI, Green Energy Will Change Nearly A Quarter Of Global Jobs By 2027 New jobs will be created while others become obsolete, a report from the World Economic Forum shows By Terry Lane Published May 01, 2023 03:13 PM EDT Nearly a quarter of the jobs in the workforce are expected to change by 2027, with AI and technology positions at the center of the shift, according to a World Economic Forum report. ### Key Takeaways * In the global workforce, 69 million new jobs will be created and 83 million positions will be eliminated in the next four years, the report estimates. * Green energy, technology, and supply chain jobs are driving the changes in the workforce, according to the World Economic Forum. * Half of employers believe that AI will create more jobs, while another quarter believe AI will cost jobs. While the green energy transition and localization of supply chains will help drive the creation of 69 million new jobs, advances in technology and digitalization will be among the factors behind the elimination of 83 million positions over the next four years. The shift will impact 23% of the workforce, either by creating a new job or eliminating an existing one, according to estimates from 803 companies surveyed for “The Future of Jobs Report 2023.” Some of the fastest job growth will come in artificial intelligence (AI) and machine learning fields, while education, agriculture, and digital commerce are expected to produce the largest numbers of jobs overall. High inflation, supply shortages and slower economic growth pose some of the biggest threats to job creation, the report said. Despite the projections showing an overall loss of jobs, employers were generally positive about the role that technology, and particularly AI, will play in job growth. Of employers surveyed, half believed AI would create jobs, while another quarter said jobs would be lost to AI tools. After several years of economic upheaval stemming from the Covid pandemic, AI is now providing for even more job uncertainty, said Saadia Zahidi, Managing Director of the World Economic Forum. “The good news is that there is a clear way forward to ensure resilience," said Saadia Zahidi, Managing Director of the World Economic Forum. "Governments and businesses must invest in supporting the shift to the jobs of the future through the education, reskilling and social support structures that can ensure individuals are at the heart of the future of work.” ### Automation Projected to Increase The task automation trend will continue into 2027 when employers believe 42% of physical and manual tasks will be handled by a machine, though three years ago employers believed automation levels would be higher than they are now. The automation of physical and manual tasks hasn’t significantly increased since the World Economic Forum’s last report three years ago, with employers responding that 34% of tasks are now automated. “But when you look specifically at the types of tasks, it’s very clear that the automation of physical and manual work is no more accelerated than it was three years ago,” said Zahidi during a podcast on the report. “But when it comes to very human traits like coordinating between people, like helping with decision making and reasoning, or communicating, that's where actually you see an uptick. That's where you see a greater risk of automation or a greater prediction around automation than before.”
25 months ago
Investopedia
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32
AI job creation vs elimination
2025-06-17 14:02:50
null
The Hollywood Jobs Most at Risk From AI
https://www.hollywoodreporter.com/business/business-news/ai-hollywood-workers-job-cuts-1235811009/
A new study finds that generative artificial intelligence poses a significant threat to workers in visual effects and other postproduction work in particular.
The Hollywood Jobs Most at Risk From AI By Winston Cho January 30, 2024 6:05pm A new study finds that generative artificial intelligence poses a significant threat to workers in visual effects and other postproduction work in particular. Generative artificial intelligence is killing jobs in Hollywood, with little relief on the horizon. A study surveying 300 leaders across the entertainment industry reports that three-fourths of respondents indicated that AI tools supported the elimination, reduction or consolidation of jobs at their companies. Over the next three years, it estimates that nearly 204,000 positions will be adversely affected. At the forefront of the displacement: sound engineers, voice actors, concept artists and employees in entry-level positions, according to the study. Visual effects and other postproduction work stands particularly vulnerable. The Concept Art Assn. and the Animation Guild commissioned the report, which was conducted from Nov. 17 to Dec. 22 by consulting firm CVL Economics, amid concerns from members over the impact of AI on their work. Among the issues is that concept artists are increasingly being asked to “clean up” AI-generated works by studios, lowering their billed hours and the pool of available jobs, says Nicole Hendrix, founder of the advocacy group. “We’re seeing a lot of role consolidation and reduction,” Hendrix says. “A lot of people are out of work right now.” The report serves as a data point into the mainstream adoption of human-mimicking chatbots that can generate text, audio and even hyper-realistic images, and its effects on labor. Sam Tung, a member of the Animation Guild who serves on its AI task force, says the union will refer to the study in negotiations with studios when its contract expires in July. “A good point of reference will be what the WGA sought and won,” he adds. “They wanted to make sure their jurisdiction was protected and whether or not members were required to use generative AI.” Guardrails around the use of AI emerged as a sticking point in strikes by writers and actors. The Animation Guild will likely look to similarly shore up protections in its new contract, while the studios will likely insist on some AI allowances. In November, former DreamWorks founder Jeffrey Katzenberg said the tech will replace 90 percent of jobs on animated films. According to the study, over two-thirds of firms in Hollywood are considered early adopters of the tech. Roughly a third of respondents surveyed predicted that AI will displace sound editors, 3D modelers, rerecording mixers, and audio and video technicians within three years, while a quarter said that sound designers, compositors and graphic designers are likely to be affected. By 2026, a third of respondents said over 20 percent of all entertainment industry jobs, or roughly 118,500 positions, will be cut, the study says. Among the top tasks flagged as likely to be impacted by AI: creating realistic sound design for film, TV or games; developing 3D assets; and creating realistic sounding foreign-language dubbing. The tasks least likely to be affected include writing film, TV or game scripts, as well as performing music or vocals. The report flags visual effects work as vulnerable to displacement by AI tools. According to the study, 80 percent of early AI adopters in the industry currently use the tech in postproduction. TrueSnyc, for example, can manipulate the movement of performers’ lips to accommodate dubbing in different languages. The proliferation of such tools, the report says, is “likely to suppress demand for multilingual voice actors.” Similar displacement will also occur in other stages of production. Whereas hair and makeup artists or younger actors may have been employed to de-age actors, studios may turn to de-aging technology like they did in _Here_ , starring Tom Hanks and Robin Wright. In a similar vein, AI tools may increasingly be used to help create images that can streamline character design and storyboarding processes, lowering demand for concept artists, illustrators and animators. According to the report, nearly 77 percent of respondents use AI image generators enabling, for example, individuals to upload landscape photos to virtual productions screens or speed up rotoscoping in postproduction. They have applications in 3D modeling, storyboarding, animation and concept art, among other things. Concerns around the ability to exploit material generated by AI tools likely play a role in decisions around whether to cut jobs in favor of AI tools. While AI-made works are not eligible for copyright protection, material in which a human played a role in its creation might be. This provides a layer of protection for concept artists and animators. “There’s still some apprehension around AI because of copyright issues,” Tung says. “It could be a legal morass, and a savvy legal department may not want to open that can of worms.” According to Hendrix, concept artists in particular have seen work dry up over the past year. Cameron Scott Davis said in a report compiled by the group that an L.A.-based advertising company abruptly stopped hiring him for ad campaigns after it adopted AI tools, which could “produce hundreds of iterations of concepts and illustrations in minutes.” He added, “Just last week I interviewed for a job at a game studio as an Art Director that admitted to not having a single concept artist on staff. ‘We just use Midjourney,’ they said.” In another testimonial, a senior concept artist for a game studio said that this employer in 2022 asked him to “fix” a series of character designs it generated using AI tools after he was initially asked to come up with original renderings. “Later, I found out what keywords they’d been using to prompt the AI, and it was all references to existing huge IPs mixed with generic adjectives like ‘cool’ and ‘photorealistic,'” he wrote.
16 months ago
The Hollywood Reporter
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34
AI job creation vs elimination
2025-06-17 14:02:50
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More Business Leaders Expect A.I. to Create Jobs Than to Eliminate Them
https://www.inc.com/ben-sherry/more-business-leaders-expect-ai-to-create-jobs-than-eliminate-them.html
A new survey finds that business owners and executives expect A.I. to be a job creator, even as it reduces some positions.
TechnologyMore Business Leaders Expect A.I. to Create Jobs Than to Eliminate ThemA new survey finds that business owners and executives expect A.I. to be a job creator, even as it reduces some positions. BY BEN SHERRY, STAFF REPORTER @BENLUCASSHERRYMay 9, 2023SHARELinkedInFacebookXBlueskyLinkIllustration: Getty Images Worried that advancements in A.I. will force you to replace your employees with algorithms? You’re not alone. According to a recent Pew survey, 62 percent of workers think A.I. will have a major impact on the future of work, while 15 percent believe they’ll be personally impacted by the tech, and not in a good way. It’s a more than understandable anxiety, but a new survey of global business leaders found that many believe the net effect of A.I. will be the creation of new jobs.In the 2023 edition of its annual Future of Jobs Report, the World Economic Forum found that while 25 percent of organizations expect the change to lead to job losses, 50 percent of respondents expect the tech to create job growth. The WEF surveyed 803 businesses from around the world, representing over 11.3 million workers.Featured VideoAn Inc.com Featured PresentationThe only way the world economy will see that job growth, according to the WEF, is to begin training today’s workforce to take full advantage of A.I.’s power, stating that “though generative A.I. has the potential to displace jobs, the focus placed on training workforces to exploit A.I. and big data indicates the opportunities for new roles that harness its potential to help achieve business goals.” This isn’t to say that some jobs won’t be replaced by A.I. in the long run; the report found that clerks and secretaries are expected to see their numbers fall rapidly over the coming years. In their place, demand for A.I. and machine learning specialists is expected to grow faster than for any other job, as businesses will need manpower to develop, train, and refine their large language models and neural networks. Jeff Wong, EY’s global chief innovation officer, has been telling his clients that companies that don’t take advantage of next-gen A.I. to improve their businesses will be left behind, and says that organizations of all sizes will need to at least make some level of investment in the tech.According to the report, expertise in A.I. and big data is the most strongly prioritized skill across the following industries: Insurance and pensions managementMedia, entertainment, and sportsInformation and technology servicesTelecommunicationsBusiness support and premises maintenance servicesElectronics According to Wong, entrepreneurs should “keep abreast of new innovations with this technology, and wait until the perfect tool for your specific business need becomes available. Building the infrastructure internally is a waste of your capital.”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
25 months ago
Inc.com
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35
AI job creation vs elimination
2025-06-17 14:02:50
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AI, automation, and the future of work: Ten things to solve for (Tech4Good)
https://www.mckinsey.com/featured-insights/future-of-work/ai-automation-and-the-future-of-work-ten-things-to-solve-for
Automation and artificial intelligence (AI) are transforming businesses and will contribute to economic growth via contributions to productivity.
AI, automation, and the future of work: Ten things to solve for June 1, 2018 | Executive Briefing By James Manyika and Kevin Sneader As machines increasingly complement human labor in the workplace, we will all need to adjust to reap the benefits. Automation and artificial intelligence (AI) are transforming businesses and will contribute to economic growth via contributions to productivity. They will also help address “moonshot” societal challenges in areas from health to climate change. At the same time, these technologies will transform the nature of work and the workplace itself. Machines will be able to carry out more of the tasks done by humans, complement the work that humans do, and even perform some tasks that go beyond what humans can do. As a result, some occupations will decline, others will grow, and many more will change. While we believe there will be enough work to go around (barring extreme scenarios), society will need to grapple with significant workforce transitions and dislocation. Workers will need to acquire new skills and adapt to the increasingly capable machines alongside them in the workplace. They may have to move from declining occupations to growing and, in some cases, new occupations. This executive briefing, which draws on the latest research from the McKinsey Global Institute, examines both the promise and the challenge of automation and AI in the workplace and outlines some of the critical issues that policy makers, companies, and individuals will need to solve for. 1. Accelerating progress in AI and automation is creating opportunities for businesses, the economy, and society 2. How AI and automation will affect work 3. Key workforce transitions and challenges 4. Ten things to solve for Accelerating progress in AI and automation is creating opportunities for businesses, the economy, and society Automation and AI are not new, but recent technological progress is pushing the frontier of what machines can do. Our research suggests that society needs these improvements to provide value for businesses, contribute to economic growth, and make once unimaginable progress on some of our most difficult societal challenges. Rapid technological progress Beyond traditional industrial automation and advanced robots, new generations of more capable autonomous systems are appearing in environments ranging from autonomous vehicles on roads to automated check-outs in grocery stores. Much of this progress has been driven by improvements in systems and components, including mechanics, sensors and software. AI has made especially large strides in recent years, as machine-learning algorithms have become more sophisticated and made use of huge increases in computing power and of the exponential growth in data available to train them. Potential to transform businesses and contribute to economic growth These technologies are already generating value in various products and services, and companies across sectors use them in an array of processes to personalize product recommendations, find anomalies in production, identify fraudulent transactions, and more. The latest generation of AI advances, including techniques that address classification, estimation, and clustering problems, promises significantly more value still. Potential to help tackle several societal moonshot challenges AI is also being used in areas ranging from material science to medical research and climate science. Application of the technologies in these and other disciplines could help tackle societal moonshot challenges. For example, researchers at Geisinger have developed an algorithm that could reduce diagnostic times for intracranial hemorrhaging by up to 96 percent. Challenges remain before these technologies can live up to their potential for the good of the economy and society everywhere AI and automation still face challenges. The limitations are partly technical, such as the need for massive training data and difficulties “generalizing” algorithms across use cases. Recent innovations are just starting to address these issues. Other challenges are in the use of AI techniques. For example, explaining decisions made by machine learning algorithms is technically challenging, which particularly matters for use cases involving financial lending or legal applications. How AI and automation will affect work Even as AI and automation bring benefits to business and society, we will need to prepare for major disruptions to work. About half of the activities carried out by workers could be automated. Our analysis of more than 2000 work activities across more than 800 occupations shows that certain categories of activities are more easily automatable than others. Nearly all occupations will be affected by automation, but only about 5 percent of occupations could be fully automated by currently demonstrated technologies. Many more occupations have portions of their constituent activities that are automatable: we find that about 30 percent of the activities in 60 percent of all occupations could be automated. Jobs lost: Some occupations will see significant declines by 2030 Automation will displace some workers. We have found that around 15 percent of the global workforce, or about 400 million workers, could be displaced by automation in the period 2016–2030. Jobs gained: In the same period, jobs will also be created Even as workers are displaced, there will be growth in demand for work and consequently jobs. We developed scenarios for labor demand to 2030 from several catalysts of demand for work, including rising incomes, increased spending on healthcare, and continuing or stepped-up investment in infrastructure, energy, and technology development and deployment. Jobs changed: More jobs than those lost or gained will be changed as machines complement human labor in the workplace Partial automation will become more prevalent as machines complement human labor. For example, AI algorithms that can read diagnostic scans with a high degree of accuracy will help doctors diagnose patient cases and identify suitable treatment. Key workforce transitions and challenges While we expect there will be enough work to ensure full employment in 2030 based on most of our scenarios, the transitions that will accompany automation and AI adoption will be significant. The mix of occupations will change, as will skill and educational requirements. Work will need to be redefined to ensure workers are prepared for an increasingly automated workplace.
84 months ago
McKinsey & Company
data:image/jpeg;base64,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
36
AI job creation vs elimination
2025-06-17 14:02:50
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Digital Technology Will Eliminate Millions of Jobs But Create New Opportunities
https://www.bcg.com/press/18march2021-digital-technology-eliminate-millions-jobs-but-create-new-opportunities
A Study from Boston Consulting Group and Analytics Firm Faethm Quantifies the Impact of Automation Technologies on Job Markets in Three...
BOSTON—Technology is upending labor markets, and governments, companies, and individuals need to look beyond aggregate numbers and consider how individual professions will be affected. A new analysis quantifies the impact of technology by 2030 in Australia, Germany, and the United States. The report, titled The Future of Jobs in the Era of AI, is being released today by Boston Consulting Group (BCG) and Faethm. In the report, the authors look at a variety of factors to determine how the supply and demand for individual types of jobs will change. These include shifts in the size of national workforces due to college graduation rates, retirements, and mortality, along with technology adoption rates and the impact of COVID-19 on economic growth. The result is a highly detailed analysis for all three countries across multiple scenarios. “The net number of jobs lost or gained is an artificially simple metric to gauge the impact of digitization,” said Rainer Strack, a senior partner at BCG and a coauthor of the report. “For example, eliminating 10 million jobs and creating 10 million new jobs would appear to have negligible impact. However, doing so would represent a huge economic disruption for the country—along with the millions of people with their jobs at stake.” Highlights for Three Countries Key results of the analysis include: Australia faces the widest range of potential outcomes. The country will likely experience a labor shortfall of up to 800,000 full-time employees of the national workforce (the difference between the total supply and the total demand in the future workforce) by 2030. But if COVID-19 has a more pronounced long-term impact on GDP growth, the country could actually see a nearly equal labor surplus of approximately 800,000 full-time employees. Germany will likely experience a labor shortfall in five of the six scenarios the authors modeled, ranging from 200,000 to 2.5 million workers. The US will likely experience a labor shortfall in its workforce of 600,000 to 12.5 million people by 2030. In all three countries, the professions with the biggest looming shortfalls are computer-related occupations and jobs in science, technology, engineering, and math. Meanwhile, in job family groups that involve little or no automation but that do require compassionate human interaction tailored to specific groups—such as health care, social services, and certain teaching occupations—the demand for human skills will increase as well. Recommendations for All Stakeholders The report offers several measures that stakeholders can take to prepare for a digitized future. For example, national governments should hone their predictions of how the workforce will change over time and develop training programs to give displaced workers new skills. “Governments can also build online employment platforms that can help match available talent to open positions and reskilling opportunities,” said Miguel Carrasco, a senior partner at BCG and a coauthor of the report. Companies should anticipate the skills and capabilities they will need to succeed in the future, improve their recruiting and retention programs, and build a culture of lifelong learning. And individuals can help as well, by proactively learning new skills and being flexible about changes over time. “As countries prepare to meet the twin demands of the digital age and the economic effects of COVID-19, they must understand the challenges that lie ahead,” said Michael Priddis, the CEO of Faethm and a coauthor of the report. “This means making use of more sophisticated analytical models to predict supply and demand in the labor market and integrating them into the foundation of their workforce strategies.” A copy of the report can be downloaded here . To arrange an interview with one of the authors, please contact Eric Gregoire at +1 617 850 3783 or [email protected] . About Faethm Faethm AI is the world’s data source to understand the impact of automation on economies, industries, companies, jobs, tasks, skills and people. Faethm’s SaaS AI platform was launched in 2017 and has grown rapidly to now serve Governments and Companies in 21 industries and 26 countries from offices in Sydney, London and Austin. A sophisticated knowledge graph and multiple AIs underpin platform modules that deliver data and insights about automation, reskilling and retraining workers for new jobs, economic and investment scenario modelling and COVID resilience and remote working. In 2018 Faethm was one of the first companies globally to be invited to join the World Economic Forum’s Centre for the Fourth Industrial Revolution. Awards since include the Tech Rocketship award for AI from the UK Government’s Department for International Trade, the Skills Bridge award from the Government of Luxembourg and Best New Tech Platform from the Australian Computer Society. About Boston Consulting Group Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we work closely with clients to embrace a transformational approach aimed at benefiting all stakeholders—empowering organizations to grow, build sustainable competitive advantage, and drive positive societal impact. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives that question the status quo and spark change. BCG delivers solutions through leading-edge management consulting, technology and design, and corporate and digital ventures. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, fueled by the goal of helping our clients thrive and enabling them to make the world a better place.
50 months ago
Boston Consulting Group
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37
AI job creation vs elimination
2025-06-17 14:02:50
null
ChatGPT may be coming for our jobs. Here are the 10 roles that AI is most likely to replace.
https://www.businessinsider.com/chatgpt-jobs-at-risk-replacement-artificial-intelligence-ai-labor-trends-2023-02
It's getting clearer that AI like ChatGPT could displace white-collar workers the most. Here are the positions that could see the biggest...
ChatGPT may be coming for our jobs. Here are the 10 roles that AI is most likely to replace. By Jacob Zinkula and Aaron Mok Insider compiled a list of the 10 jobs that could be disrupted by AI tools like ChatGPT, according to experts. Updated Mar 6, 2024, 4:18 PM UTC Experts say ChatGPT and related AI could threaten some jobs, particularly white-collar ones. It could do so by automating mid-career, mid-ability work. Business Insider compiled a list of 10 jobs this technology could replace, according to experts. Since its release in November 2022, OpenAI's ChatGPT has been used to write cover letters, create a children's book, and even help students cheat on their essays. The chatbot may be more powerful than we ever imagined. Google found that, in theory, the search engine would hire the bot as an entry-level coder if it interviewed at the company. Amazon employees who tested ChatGPT said it does a "very good job" of answering customer support questions, is "great" at making training documents, and is "very strong" at answering queries around corporate strategy. Companies are taking notice. Both IBM and British telecommunications giant BT Group cited AI when announcing job cuts last year — and said that many wouldn’t come back. A Goldman Sachs study from last year found that generative AI tools could, in fact, impact 300 million full-time jobs worldwide, which could lead to a "significant disruption" in the job market. By 2030, nearly 12 million Americans in occupations with shrinking demand may need to switch jobs, a McKinsey analysis published last July. AI was deemed a key reason — McKinsey estimated that 30% of hours worked in the US could be automated by 2030. Human judgment needs to be applied to these technologies to avoid error and bias, Anu Madgavkar, a partner at the McKinsey Global Institute, previously told Business Insider. Users of ChatGPT have found that the bot can generate misinformation, incorrectly answer coding problems, and produce errors in basic math. "We have to think about these things as productivity-enhancing tools, as opposed to complete replacements," Madgavkar said. Business Insider talked to experts and conducted research to compile a list of jobs that are at the highest risk for replacement by AI. Tech jobs, such as coders, computer programmers, software engineers, and data analysts, could be displaced by AI. Coding and computer programming are in-demand skills, but it's possible that ChatGPT and similar AI tools may fill in some of the gaps in the near future. Media jobs across the board, including those in advertising, technical writing, journalism, and any role that involves content creation, could be affected by ChatGPT and similar forms of AI. Experts say AI like ChatGPT is good at producing written content and can do so "more efficiently than humans."
15 months ago
Business Insider
data:image/jpeg;base64,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
38
AI job creation vs elimination
2025-06-17 14:02:50
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The Impact of Artificial Intelligence - Widespread Job Losses
https://www.iotforall.com/impact-of-artificial-intelligence-job-losses
AI and automation are anticipated to displace millions of jobs globally, impacting even professional sectors, causing widespread concern about livelihoods.
The Impact of Artificial Intelligence - Widespread Job Losses The Impact of Artificial Intelligence - Widespread Job Losses Calum McClelland - Last Updated: April 19, 2025 In schools, the impact of artificial intelligence and automation is often portrayed in a good light. Think back to learning about the water wheel, mills, printing presses, steam engines, and assembly lines. Often, the underlying narrative is that these were great innovations that reduced the burden of labor on humans. However, the technological advances of our time seem to be less well-received. Perhaps it is because of our proximity to these examples of automation. Our closeness prevents us from seeing only the benefits and instead pushes us to see how much our lives and livelihood will be impacted by artificial intelligence. McKinsey & Company reckons that, depending upon various adoption scenarios, automation will displace between 400 and 800 million jobs by 2030, requiring as many as 375 million people to switch job categories entirely. How could such a shift not cause fear and concern, especially for the world’s vulnerable countries and populations? The Brookings Institution writes of a "new" kind of automation with more advanced robotics and AI that can bring work displacement to college graduates and professionals as much as it has to vehicle drivers and retail workers. With frightening yet like these, it's no wonder AI and automation keep many of us up at night. Although we may remember from our textbooks that the 19th century brought significant innovations to factories, this does not mean that it was welcomed with open arms by the people then. The Luddites were textile workers who protested against automation, eventually attacking and burning factories because “they feared that unskilled machine operators were robbing them of their livelihood.” The Luddite movement occurred all the way back in 1811, so concerns about job losses or job displacements due to automation are far from new. When fear or concern is raised about the potential impact of artificial intelligence and automation on our workforce, a typical response is thus to point to the past; the same concerns are raised time and again and prove unfounded. In 1961, President Kennedy said, “the major challenge of the sixties is to maintain full employment at a time when automation is replacing men.” In the 1980s, the advent of personal computers spurred “computerphobia” with many fearing computers would replace them. Despite these fears and concerns, every technological shift has ended up creating more jobs than were destroyed. When particular tasks are automated, becoming cheaper and faster, you need more human workers to do the other functions in the process that haven’t been automated. During the Industrial Revolution, more and more tasks in the weaving process were automated, prompting workers to focus on the things machines could not do, such as operating a machine, and then tending multiple machines to keep them running smoothly. This caused output to grow explosively. In America during the 19th century, the amount of coarse cloth a single weaver could produce in an hour increased by a factor of 50, and the amount of labour required per yard of cloth fell by 98 percent. This made cloth cheaper and increased demand for it, which in turn created more jobs for weavers: their numbers quadrupled between 1830 and 1900. In other words, technology gradually changed the nature of the weaver’s job, and the skills required to do it, rather than replacing it altogether. Looking back on history, it seems reasonable to conclude that fears and concerns regarding AI and automation are understandable but ultimately unwarranted. Technological change may eliminate specific jobs, but it has always created more in the process. Beyond net job creation, there are other reasons to be optimistic about the impact of artificial intelligence and automation. “Simply put, jobs that robots can replace are not good jobs in the first place. As humans, we climb up the rungs of drudgery — physically tasking or mind-numbing jobs — to jobs that use what got us to the top of the food chain, our brains.” By eliminating the tedium, AI and automation can free us to pursue careers that give us a greater sense of meaning and well-being. Careers that challenge us, instill a sense of progress, provide us with autonomy, and make us feel like we belong; all attributes of a satisfying job. And at a higher level, AI and automation will also help to eliminate disease and world poverty. Already, AI is driving great advances in medicine and healthcare with better disease prevention, higher accuracy diagnosis, and more effective treatment and cures. When it comes to eliminating world poverty, one of the biggest barriers is identifying where help is needed most. The AI and Global Development Lab is recreating historical and geographical human-development trajectories from satellite images starting from 1984 to measure poverty and the effects of foreign aid. I am all for optimism. But as much as I’d like to believe all of the above, this bright outlook on the future relies on seemingly shaky premises. Namely: * The past is an accurate predictor of the future. * We can weather the painful transition. * There are some jobs that only humans can do. As explored earlier, a common response to fears and concerns over the impact of artificial intelligence and automation is to point to the past. However, this approach only works if the future behaves similarly. There are many things that are different now than in the past, and these factors give us good reason to believe that the future will play out differently. In the past, the technological disruption of one industry didn’t necessarily mean the disruption of another. Let’s take car manufacturing as an example; a robot in automobile manufacturing can drive big gains in productivity and efficiency, but that same robot would be useless trying to manufacture anything other than a car. The underlying technology of the robot might be adapted, but at best that still only addresses manufacturing AI is different because it can be applied to virtually any industry. When you develop AI that can understand language, recognize patterns, and problem-solve, disruption isn’t contained. Imagine creating an AI that can diagnose diseases and handle medications, address lawsuits, and write articles like this one. No need to imagine: AI is already doing those exact things. Another important distinction between now and the past is the speed of technological progress. Technological progress doesn’t advance linearly, it advances exponentially. Consider Moore’s Law: the number of transistors on an integrated circuit doubles roughly every two years. In the words of University of Colorado physics professor Albert Allen Bartlett, “The greatest shortcoming of the human race is our inability to understand the exponential function.” We drastically underestimate what happens when a value keeps doubling. What do you get when technological progress is accelerating and AI can do jobs across a range of industries? An accelerating pace of job destruction. “There’s no economic law that says ‘You will always create enough jobs or the balance will always be even’, it’s possible for a technology to dramatically favour one group and to hurt another group, and the net of that might be that you have fewer jobs.” Let's pretend for a second that the past actually will be a good predictor of the future; artificial intelligence will impact some jobs but more jobs will be created to replace them. This brings up an absolutely critical question, what kinds of jobs are being created, and what kinds of jobs are being destroyed? “Low- and high-skilled jobs have so far been less vulnerable to automation. The low-skilled jobs categories that are considered to have the best prospects over the next decade — including food service, janitorial work, gardening, home health, childcare, and security — are generally physical jobs, and require face-to-face interaction. At some point, robots will be able to fulfill these roles, but there’s little incentive to robotize these tasks at the moment, as there’s a large supply of humans who are willing to do them for low wages.” Blue-collar and white-collar jobs will be eliminated—basically, anything that requires middle skills (meaning that it requires some training, but not much). This leaves low-skill jobs, as described above, and high-skill jobs that require high levels of training and education. There will assuredly be an increasing number of jobs related to programming, robotics, engineering, etc. After all, these skills will be needed to improve and maintain the AI and automation being used around us. But will the people who lost their middle-skilled jobs be able to move into these high-skill roles instead? Certainly not without significant training and education. What about moving into low-skill jobs? Well, the number of these jobs is unlikely to increase, particularly because the middle class loses jobs and stops spending money on food service, gardening, home health, etc. The transition could be very painful. It’s no secret that rising unemployment has a negative impact on society; less volunteerism, higher crime, and drug abuse are all correlated. A period of high unemployment, in which tens of millions of people are incapable of getting a job because they simply don’t have the necessary skills, will be our reality if we don’t adequately prepare. So how do we prepare? At the minimum, by overhauling our entire education system and providing means for people to re-skill. To transition from 90 percent of the American population farming to just 2 percent during the first industrial revolution, it took the mass introduction of primary education to equip people with the necessary skills to work. The problem is that we’re still using an education system that is geared toward the industrial age. The three Rs (reading, writing, and arithmetic) were once the important skills to learn to succeed in the workforce. Now, those are the skills quickly being overtaken by AI. For a fascinating look at our current education system and its faults, check out this video from Sir Ken Robinson: In addition to transforming our whole education system, we should also accept that learning doesn’t end with formal schooling. The exponential acceleration of digital transformation means that learning must be a lifelong pursuit, constantly re-skilling to meet an ever-changing world. Making huge changes to our education system, providing means for people to re-skill, and encouraging lifelong learning can help mitigate impact of artificial intelligence, but is that enough? When I originally wrote this article a couple of years ago, I believed firmly that 99 percent of all jobs would be eliminated. Now, I'm not so sure. Here was my argument at the time: The claim that 99 percent of all jobs will be eliminated may seem bold, and yet it’s all but certain. All you need are two premises: * We will continue making progress in building more intelligent machines. * Human intelligence arises from physical processes. The first premise shouldn’t be at all controversial. The only reason to think that we would permanently stop progress, of any kind, is some extinction-level event that wipes out humanity, in which case this debate is irrelevant. Excluding such a disaster, technological progress will continue on an exponential curve. And it doesn’t matter how fast that progress is; all that matters is that it will continue. The incentives for people, companies, and governments are too great to think otherwise. The second premise will be controversial, but notice that I said human intelligence. I didn’t say “consciousness” or “what it means to be human." That human intelligence arises from physical processes seems easy to demonstrate: if we affect the physical processes of the brain we can observe clear changes in intelligence. Though a gloomy example, it’s clear that poking holes in a person’s brain results in changes to their intelligence. A well-placed poke in someone’s Broca’s area and voilà—that person can’t process speech. With these two premises in hand, we can conclude...
82 months ago
IoT For All
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39
AI job creation vs elimination
2025-06-17 14:02:50
null
Is AI a job killer or a job creator? What history tells us
https://m.economictimes.com/jobs/hr-policies-trends/is-ai-a-job-killer-or-a-job-creator-what-history-tells-us/articleshow/104728338.cms
Artificial Intelligence (AI) has raised concerns about job displacement, but throughout history, technological advancements have created...
Is AI a job killer or a job creator? What history tells us By Kartik Narayan, ET CONTRIBUTORS Last Updated: Oct 26, 2023, 04:48:00 PM IST Artificial Intelligence (AI) has raised concerns about job displacement, but throughout history, technological advancements have created more jobs than they eliminated. According to a report by the World Economic Forum, around 85 million jobs may be lost to AI by 2025, while 97 million new roles may emerge. "I do feel that technological progress cannot be stopped, but its antagonistic effect on human labour should be regulated." - Mahatma Gandhi Gandhi ji was a supreme techno-optimist. In an appreciative and anticipatory comment about the advancements in science and technology in his time, he wrote in 1925: “Many things are impossible and yet are the only things right. A reformer’s business is to make the impossible possible by giving an ocular demonstration of the possibility in his own conduct. Whoever thought it possible before Edison, to speak to people hundreds of miles away from us? Marconi went a step further and made wireless communication possible. We are daily witnessing the phenomenon of the impossible of yesterday becoming the possible of today. As in physical science, so in psychological.” In all reckoning, Artificial Intelligence (AI) is not the first disruptive technology to raise concerns about job displacement. If we look at the evolution of technology throughout history, whenever there have been any major technological inventions, for example, the widespread adoption of computers, the Industrial Revolution bringing forth automation and machinery, ATM machines, etc, people have been apprehensive that it would take away jobs. But it actually led to creating more jobs than it eliminated. According to the World Economic Forum report on Future of Jobs 2020, approximately 85 million jobs may be eliminated by the shift between humans and machines by 2025, while 97 million new roles may emerge. AI technologies excel at automating routine, repetitive, and data-intensive tasks, showcasing unparalleled efficiency in liberating human workers from the shackles of monotonous activities and allowing them to focus more on creative and complex endeavours. Industries encompassing manufacturing, logistics, and customer service have borne witness to the remarkable transfer of repetitive responsibilities onto AI systems, culminating in an incredible surge of efficacy, substantial cost reductions, and improved customer experiences. The industries that will largely be impacted by AI include Manufacturing and Automation, Transportation and Logistics, Healthcare, Finance and Banking, Retail and E-commerce, Customer Service and Support, Agriculture, and Legal Services. While it is undeniable that certain jobs may encounter direct ramifications, our primary focus should shift towards reskilling and redeploying workers in more value-adding positions. Young professionals might be moving towards a much wider range of interesting and hot jobs. Human-AI collaboration, not annihilation New technologies, at all times, are the catalyst for the creation of new industries that could not have existed before. Therefore, instead of perceiving AI as a threat, we need to look at it as an empowering tool as AI has the potential to augment human capabilities and enhance productivity. By combining human ingenuity with AI-powered tools, employees can achieve greater efficiency and effectiveness in their roles. What needs to be done? Corporate leaders and governments, who have the power to bring change, must address the impact of AI on jobs through strategic workforce planning and reskilling initiatives. By anticipating the evolving skill requirements, organisations can invest in upskilling and reskilling programs that empower employees to adapt to the changing landscape. The author is CEO - Staffing, TeamLease Services Limited (Disclaimer: The opinions expressed in this column are that of the writer. The facts and opinions expressed here do not reflect the views of www.economictimes.com.)
19 months ago
The Economic Times
data:image/png;base64,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
40
AI job creation vs elimination
2025-06-17 14:02:50
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New Report Confirms Worst Fears: AI Will Disrupt Countless Animation Jobs Over Next 3 Years
https://www.cartoonbrew.com/artist-rights/union-study-says-generative-ai-will-disrupt-204000-jobs-three-years-237495.html
The startling report makes one thing clear: generative AI is here today and wreaking havoc right now.
New Report Confirms Worst Fears: AI Will Disrupt Countless Animation Jobs Over Next 3 Years By Amid Amidi | 01/31/2024 1:47 pm There is little doubt that the emergence of generative artificial intelligence models will massively disrupt the future of the entertainment industry. This week, a new report outlined just how devastating the impact of Generative AI (GenAI) could be to artists over the next three years. The report warns that GenAI “signifies a large-scale transition from existing techniques into new processes” and it will “likely rebalance the demand for labor and capital across the entertainment industries.” For creative workers, this means they will be “facing an era of disruption, defined by the consolidation of some job roles, the replacement of existing job roles with new ones, and the elimination of many jobs entirely.” An estimated 204,000 entertainment industry jobs will be significantly disrupted by generative AI over the next three years. This figure doesn’t include freelancer and contract workers, so the actual number of disrupted jobs is likely to be even greater than the scope of the survey. Of the 204,000 affected jobs, 118,500 of them are in the film, television, and animation industries, which represents 21.4% of the 555,000 jobs in the three areas. An additional 52,400 disrupted jobs are in the gaming industry, representing 13.4% of the 390,500 employed in the sector. The most affected state is California, the hub of the American entertainment industry, which will see 62,000 creative jobs impacted, followed by New York (26,000 jobs) and Georgia (7,800 jobs). Certain jobs in the animation and vfx industries will be more impacted than others. For example, among the one-quarter of companies that have already implemented GenAI programs, 44% of them are using the tech to assist in generating 3d models while 39% are generating character and environment design tasks. Further, 33% of the survey takers predict that 3d modelers will be affected in the next three years, while 25% believed that compositors were vulnerable over the same time period. Only 15% said that storyboarders, animators, illustrators, and look/surface/material artists woulds experience job displacement by 2026. The report ends with this suggestion for entertainment industry decision-makers: > The future is not yet written, and it needn’t be generated by AI. It is important to remember that GenAI output is constrained by its inputs. If the responsibility to generate content shifts away from humans to machines, which can currently only formulate output based on previously created content, the availability and uniqueness of new content brought into the world will become more limited. It is critical that those in leadership positions, especially in entertainment industries, keep this top of mind and ideate on ways that new technologies can expand human creativity, not replace it.
16 months ago
Cartoon Brew
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41
AI job creation vs elimination
2025-06-17 14:02:50
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‘This Is an Existential Threat’: Will AI Really Eliminate Actors and Ruin Hollywood? Insiders Sound Off
https://variety.com/2023/digital/features/hollywood-ai-crisis-atificial-intelligence-eliminate-acting-jobs-1235697167/
In Hollywood, the sudden rise of AI-enabled content-creation platforms has widened the divide between entertainment unions and employers.
Aug 16, 2023 8:00am PT ‘This Is an Existential Threat’: Will AI Really Eliminate Actors and Ruin Hollywood? Insiders Sound Off By Todd Spangler Filmmaker Justine Bateman doesn’t think there is a thriving future for actors in filmed entertainment as we know it. She believes that artificial intelligence will ultimately suck the creative marrow out of Hollywood. “AI can create a convincing simulation of a human actor, and the tech is improving at an alarming rate,” says Bateman, the former “Family Ties” star who has a degree in computer science and digital media management from UCLA. In a few short years, she asks, why would anyone need to pay real actors? “I stress that this is an existential threat,” continues Bateman, who is an adviser to SAG-AFTRA on AI issues. “And if they can do this with actors, they can do it with writers, directors, cinematographers — everyone. We’ll be replaced with Frankenstein spoonfuls of our own work.” When it comes to Hollywood, the sudden rise of AI-enabled content-creation platforms has only widened the already enormous divide between entertainment unions and the industry’s largest employers. Generative AI — advanced computing platforms that can create new text and imagery based on reams of existing reference material — has become a veritable villain in the current labor standoff. Signs on the unions’ picket lines this summer have been emblazoned with anti-AI slogans like “AI is not ART,” “Wrote ChatGPT This” and “AI’s not taking your dumb notes.” What it comes down to is the WGA and SAG-AFTRA want ironclad guarantees from studios and streamers that robots won’t become replacements for performers and scribes. “Everyone understands that AI is a tidal wave that is coming for us one way or the other,” says Sarah Moses, entertainment litigation partner at law firm Manatt, Phelps & Phillips. “But it’s hard to negotiate right now because there are so many unknowns.” Let’s start with this one: Is the hand-wringing over generative AI overblown? There’s a general consensus that AI can’t produce original TV shows and movies that are anything close to what audiences expect — and that it may never be a satisfying substitute for the real human deal. “It’s fun to imagine a generative AI scriptwriter, but there is absolutely no interest in that. Because it’s lousy,” says Monica Landers, founder and CEO of StoryFit, an Austin-based company that uses AI to analyze screenplays. “It can’t hold on to the pacing to reveal the plot. It’s not made for character growth. It’s so empty right now.” James Cameron, the filmmaker behind AI thriller “The Terminator” and blockbusters like “Avatar” and “Titanic,” has no plans to use artificial intelligence to write a script. “I just don’t believe that a disembodied mind that’s just regurgitating what other embodied minds have said will ever have something that’s going to move an audience,” Cameron recently told CTV News. He added, “Let’s wait 20 years, and if an AI wins an Oscar for best screenplay, I think we’ve got to take them seriously.” Generative AI is transforming everything about computing, and it represents an advance on par with the introduction of the PC or the smartphone. In the right hands, it will yield a class of powerful new creative tools. “We should look at AI as ‘augmented intelligence,’ rather than ‘artificial intelligence,’” says Sunny Dhillon, managing partner at venture-capital firm Kyber Knight Capital. “This will let filmmakers work faster and cheaper and make movies that are more compelling.” The reason that AI is changing the way the world works is that now anyone can harness the power of generative AI tools simply by using plain-language instructions, says Jensen Huang, founder and CEO of Nvidia, the chipmaker that has emerged as a powerhouse in the AI space. All of a sudden, you don’t need specialized training in, say, coding to create something incredible. “We’ve democratized computer science,” Huang told a rapturous crowd at the Siggraph 2023 computer-graphics confab in L.A. last week. “Generative AI is the new killer app.” The suits in Hollywood are clearly intrigued by AI, as are executives in every industry. About 96% of AI decision-makers at media and entertainment companies said they plan to increase their spending on generative AI technology in the next 12 months, according to a survey of 6,000 employees by enterprise search-engine vendor Lucidworks conducted between May and July. They add that they’re not looking to use it to eliminate workers; just 4% of those surveyed said they expect AI adoption to result in “job displacement.” Disney CEO Bob Iger says the company is starting to use AI to operate more efficiently. “Overall, I’m bullish about the prospects because I think they’ll create efficiencies and ways for us to basically provide better services to customers,” he told Wall Street analysts in May. At Amazon, every one of the tech giant’s teams — including in its entertainment business — has multiple generative AI technology projects in the works, according to CEO Andy Jassy, speaking on Amazon’s Aug. 3 earnings call. He was light on specifics but said generative AI “is going to be at the heart of what we do” as Amazon looks to use it to reduce costs and “reinvent” customer experiences. A recent Netflix job listing for a product manager in the company’s machine-learning group listed a salary range of between $300,000 and $900,000. That triggered ire among the Hollywood unions’ rank and file. “Talk about tone-deafness, FFS!” tweeted WGA member Christopher Derrick, whose writing credits include “Star Trek: Picard” and “The Equalizer.” Never mind that the Netflix job in question centers on AI developments for content personalization and optimizing payment-processing systems. With the unions coalesced around fighting the encroachment of all things AI, Netflix’s listing is now a boogeyman. Forms of artificial intelligence, of course, have existed for decades (think spell-check programs or digital thermostats). What’s new — and, to Bateman and others, extremely alarming — is how rapidly gen AI has advanced to be able to create snippets of film or television that, if you squint, can look like actual humans in scenes produced by human directors. An AI-generated script can read like something written by a professional writer. A tipping point came in November 2022 when software firm OpenAI released ChatGPT, a chatbot that can spit out fully formed essays on a range of different topics. “For years, everyone has known AI was coming,” says Jason Vredenburg, an associate professor at Stevens Institute of Technology who teaches American film history. “But when ChatGPT came out, everyone was shocked. They realized it was coming faster than anyone thought.” That’s why in the current entertainment industry labor disputes, AI has become a flashpoint. The WGA wants its members to be able to use AI tools but is asking for assurances that using those tools won’t count against them in determining credit and pay. The AMPTP has offered to spell out explicitly that a “writer” must be a human, but also says further discussion is needed in the area. Meanwhile, SAG-AFTRA has alleged that studios “want to scan a background performer’s image, pay them for a half a day’s labor and then use an individual’s likeness for any purpose forever without their consent.” The AMPTP has emphatically denied this. But background actors have become deeply worried about their employment prospects in an AI world. “We don’t know what all our scans are being used for,” says Prince Royal, an actor who says that when he worked as an extra on “The Flash” he was required to submit to a 360-degree image scan — or go home without pay. AMPTP says under its proposal, producers must obtain background actors’ full consent and separately bargain for payment for each use of a digital replica. Per the AMPTP, what is needed is “a balanced approach based on careful use, not prohibition.” Multiple legal issues with generative AI have yet to be fully ironed out. One gray area — the subject of several lawsuits — has to do with the source material used to “train” generative AI models. Last month, a lawsuit on behalf of Sarah Silverman and other authors accused Meta and OpenAI of illegally using copyrighted works — including Silverman’s 2010 bestselling memoir “The Bedwetter: Stories of Courage, Redemption, and Pee” — to train their AI systems. (Meta declined to comment. Silverman also declined to comment, citing the pending litigation. OpenAI did not respond to a request for comment.) Some experts say there’s nothing in the law that prevents AI systems from using any kind of source material for training. U.S. laws stipulate that you can’t copy a specific copyrighted work or performance, says Yale Law School professor Robert Post. But actors, he says, study all kinds of performances to inform their own. “Everyone has a right to study them,” including someone who is using AI to do so, says Post. He adds, “It’s not copyright infringement to read a lot of books.” Other commentators have argued that the U.S. needs a federal law protecting name, image and likeness that supersedes today’s state-by-state regulations. Hilary Krane, chief legal officer at CAA, believes generative AI issues pertaining to intellectual property, as well as name, image and likeness rights, are solvable and addressable concerns. “We want to make sure the rules...
22 months ago
Variety
data:image/jpeg;base64,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
42
AI job creation vs elimination
2025-06-17 14:02:50
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The Jobs That Artificial Intelligence Will Create
https://sloanreview.mit.edu/article/will-ai-create-as-many-jobs-as-it-eliminates/
Instead of eliminating human workers, AI may create new jobs requiring updated skills and training.
The Jobs That Artificial Intelligence Will Create A global study finds several new categories of human jobs emerging, requiring skills and training that will take many companies by surprise. H. James Wilson, Paul R. Daugherty, and Nicola Morini-Bianzino March 23, 2017 The threat that automation will eliminate a broad swath of jobs across the world economy is now well established. As artificial intelligence (AI) systems become ever more sophisticated, another wave of job displacement will almost certainly occur. But here’s what we’ve been overlooking: Many new jobs will also be created — jobs that look nothing like those that exist today. In Accenture PLC’s global study of more than 1,000 large companies already using or testing AI and machine-learning systems, we identified the emergence of entire categories of new, uniquely human jobs. These roles are not replacing old ones. They are novel, requiring skills and training that have no precedents. More specifically, our research reveals three new categories of AI-driven business and technology jobs. We label them trainers, explainers, and sustainers. Humans in these roles will complement the tasks performed by cognitive technology, ensuring that the work of machines is both effective and responsible — that it is fair, transparent, and auditable. Trainers This first category of new jobs will need human workers to teach AI systems how they should perform — and it is emerging rapidly. At one end of the spectrum, trainers help natural-language processors and language translators make fewer errors. At the other end, they teach AI algorithms how to mimic human behaviors. Customer service chatbots, for example, need to be trained to detect the complexities and subtleties of human communication. Yahoo Inc. is trying to teach its language processing system that people do not always literally mean what they say. Thus far, Yahoo engineers have developed an algorithm that can detect sarcasm on social media and websites with an accuracy of at least 80%. Consider, then, the job of “empathy trainer” — individuals who will teach AI systems to show compassion. The New York-based startup Kemoko Inc., d/b/a Koko, which sprung from the MIT Media Lab, has developed a machine-learning system that can help digital assistants such as Apple’s Siri and Amazon’s Alexa address people’s questions with sympathy and depth.
98 months ago
MIT Sloan Management Review
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43
AI job creation vs elimination
2025-06-17 14:02:50
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AI Doesn't Eliminate Jobs, It Creates Them
https://www.forbes.com/sites/forbestechcouncil/2018/05/01/ai-doesnt-eliminate-jobs-it-creates-them/
The value, power and efficiency of AI does not arise from its ability to replace human beings. In fact, AI does just the opposite.
Shutterstock Over the past two years, as the debate over immigration policies has grown increasingly heated, an argument was often introduced as a counter to some of the more abrasive stances. At first glance, it may have appeared to be a fact-based response to the animosity and divisiveness that defined the debate. For those of us with deeper, first-hand knowledge though, it was just as fear-based and misinformed.The argument was most succinctly summed up by an op-ed in The Los Angeles Times, “Robots, not immigrants, are taking American jobs.” It states, “A White House report released in December says 83% of U.S. jobs in which people make less than $20 per hour are now, or soon will be, subject to automation … and warns Americans to get ready for an era of 60% unemployment.”At Fortinet, we have been investing in artificial intelligence (AI) for years. It is an incredible technology that presents extraordinary opportunities for how to protect networks and, ultimately, the internet. As AI become more common and more sophisticated, it consistently clarifies an important truth: The value, power and efficiency of AI does not arise from its ability to replace human beings.In fact, AI does just the opposite. Both automation and AI underscore how central and critical human insight and expertise are to success.Arguments and headlines that cast technology as an encroaching threat, widening social divides and limiting opportunities may provoke stronger reactions (and more clicks), but in general, innovation is not additive or subtractive -- it is multiplicative. It creates exponentially more opportunities for more people in more ways than even those most directly impacted by it can often imagine at first.Has email replaced the post office? While the number of total career employees declined from 2007 to 2016, it is now just a bit more than it was in 1965. The volume of marketing mail and first-class mail have decreased, but the volume of total shipping of packages has increased from 3.3 billion to 5.2 billion packages. Delivery points have increased from 148 million to 156 million and there are also thousands of additional delivery trucks on the roads.Did ATMs replace banks? No — by lowering the cost of opening a branch, ATMs helped increase the number of banks by more than 40%. In fact, they didn’t even replace bank tellers, whose ranks increased to meet the demand of more branches.It is especially important to recognize these facts in light of the particularly callous argument that the only jobs that AI kills are the ones nobody would want. All of us value the job that provides for our families and lives.If anything, the rise and spread of AI forces us to take a closer look at how charging employees to do the only kinds of tasks that AI is good at — repetitive, precise, controlled tasks that require no reasoning, higher-order thinking or even common sense — represents an outdated, divisive management style.It is hard to imagine an industry more heavily reliant on digital technology than cybersecurity. As of Q3 2017, our cybersecurity tools and technologies were responsible for neutralizing 91,000 malware programs, blocking access to 150,000 malicious websites and resisting 4.4 million network intrusion attempts — per minute.In a digitally driven world that is teeming with threat actors — from malicious pranksters to criminals, ideologically motivated sects to state-sponsored cyber terrorists, threatening everything from our individual identities to the critical infrastructure of our society — there is no way to protect data without self-learning AI and automation. For effective cybersecurity, we must utilize AI to do time-consuming tasks such as data mining and parsing data logs — while allowing cybersecurity teams to focus on the much higher-order tasks of threat identification and elimination.And yet, one of the gravest challenges our industry faces is a shortage of talent.Our industry’s unemployment rate stands at 0%. In 2016, one million new cybersecurity jobs were created and estimates project an increase of five or six million over the next few years. In 2015, there was a 74% increase in cybersecurity job postings, half of which went unfilled.Across industries, 45% of organizations claim to experience a problematic shortage of cybersecurity skills. As a result, cybersecurity teams must race from one crisis or breach to the next, with little time for strategic planning or continued learning to keep up with threat sophistication.These are certainly business challenges — and increasingly costly ones at that. The demand itself is driving an expensive bidding war for talent, and the cost of cybercrime is estimated to reach $2.1 trillion globally by next year. These are also national, global security risks, with everything from financial systems to healthcare to critical infrastructure in the crosshairs.Automation and AI are not eliminating jobs, they are creating them — high-paying, high-level and secure ones at that — at an unprecedented rate. As the levels of data continue to grow, that will create even greater demand.We will never be able to fill these jobs without greater awareness of the need for them, early training in middle school and high school and more outreach to veterans and college students — particularly women, who currently comprise just 14% of the cybersecurity workforce.There are definitely clear causes of wage stagnation and job loss — from who disproportionately benefits from economic gains to the impact of wealth creation through capital management rather than goods or services to the funding and priorities of our educational system to an increasingly volatile financial system to the impact of rapid globalization. Those are all extraordinary challenges, and it is far easier to scapegoat technology than to address the challenges it presents. Blaming innovation will not solve real problems or prevent crises. It will only drive misunderstandings and clicks in an increasingly unsafe digital landscape. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
85 months ago
Forbes
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44
AI job creation vs elimination
2025-06-17 14:02:50
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How the Replacement of Blue-Collar Jobs by AI Will Impact the Economy
https://www.iotforall.com/how-ai-replacing-blue-collar-jobs-impact-economy
The advent of AI and robotics will pose unprecedented challenges and offer an opportunity to reap tremendous economic and social benefits.
# How the Replacement of Blue-Collar Jobs by AI Will Impact the Economy How the Replacement of Blue-Collar Jobs by AI Will Impact the Economy Sukhayl Niyazov - Last Updated: December 2, 2024 Our world is on the verge of historically momentous changes. Technological advances will have all-encompassing implications for almost all human endeavors, from manufacturing and transportation to healthcare, education and communication. Emerging technologies and their implementation will have a profound impact on the current political system, society and labor market. The advent of AI and robotics will pose unprecedented challenges and offer an opportunity to reap tremendous economic and social benefits. It's become conventional wisdom among economists to think that, due to the advancement of AI and robotics, manual labor and other blue-collar jobs will be mostly eliminated from the economy. Experts differ on the exact consequences of such a shift, and it's worth exploring both positive and negative sides of the current realignment to gain a better understanding of monumental shifts occurring in our society. Before diving into this article, you may want to brush up on your AI and ML concepts: 1. Basics of Neural Networks 2. Bursting the Jargon bubbles — Deep Learning Foremost, as a result of the elimination of blue-collar jobs, the US economy will achieve previously unimaginable levels of productivity, for AI algorithms and automated manufacturing are much better at performing tasks than humans. Increased throughput will make goods and services cheaper, leaving consumers with greater disposable income which they will then use to purchase more products, leading to the growth in consumption and demand, which will ultimately facilitate the creation of new jobs and economic growth. ## AI Is Emerging According to PwC’s analysis, by 2030, gains from AI implementation will be around $15.7 trillion, with most gains stemming from enhanced productivity and consumption-side effects. Overall, AI will add up to 14% to the American GDP by 2030. The research conducted by Accenture Research and Frontier Economics found that AI would boost US labor productivity by 35% and almost double growth rates from 2.6% to 4.6% by 2035. In the short term, because American robots work as effectively as Chinese workers and because they don't demand higher wages, join labor unions and take vacations as American workers do, manufacturing will begin to return from cheap labor countries to the US. This will boost exports, encourage domestic investment and innovation and ultimately make the US a manufacturing hub. In the end, this will diminish the US trade deficit, eliminate the need to borrow money and solve one of the fundamental problems of the American economy. In spite of significant job losses in the long run, on a short-term horizon, new jobs will be created in the place of eliminated blue-collar jobs. The study by the World Economic Forum expects that, by 2022, AI could create around 133 million jobs and eliminate about 75 million, resulting in a net gain of 58 million. ## Job Losses Will Outpace Gains It turns out that the loss of jobs by blue-collar workers will be more than offset by gains in more sophisticated and productive occupations like data scientists, software and data analysts and AI specialists. We'll get rid of tedious jobs and will instead focus on more creative and beneficial activities. Applications of AI in fields previously dominated by humans will enable us to solve previously intractable problems such as climate change or make important discoveries in physics, biology, and chemistry that can be implemented to increase economic productivity and lead to further growth. As a result of the replacement of humans by AI, we'll enhance our predictive powers which will yield tremendous benefits to American businesses, economy and society in fields like weather forecasts, predictions of natural disasters and many others. Nevertheless, as with almost all things in our extremely complicated world, elimination of manual labor jobs from the economy isn't only expected to lead to positive economic reverberations, but also potentially disruptive repercussions that can shake the very foundations of the US labor markets, economy, society and even the conventional capitalist system itself. The integration of AI and ML into an increasing number of jobs will yield many benefits in the short run, but, in the long run, its implications are much more ambiguous and may have devastating effects. Even though studies show that we'll experience a net growth in the number of jobs, the devil is in the details. Unlike technologies introduced by the Industrial Revolution (IR), which increased the overall number of jobs through deskilling (elimination of skilled labor by technologies operated by less skilled workers), the most recent upheaval , the introduction of information and communications technologies (ICT), has been defined by skill bias. Therefore, in recent decades in the US, more jobs that require a high level of expertise have been created, like programmers and data scientists, while eliminating the need for unskilled labor. As a result of ICT, productivity has been steadily increasing in the US, but wages remained almost flat, and, in recent decades, income inequality has been growing dramatically (according to EPI, from 1973 to 2017, productivity has grown 6.2x more than pay). ## A More Precarious Labour Market This means that the labor market is becoming less flexible. During the first and second industrial revolutions, the labor market adapted to the fluctuations in society and the economy, and the overall number of jobs didn’t decrease. Nowadays, due to the skill biases of both ICT and AI, blue-collar workers who've been replaced by algorithms will unlikely be able to find new jobs because it'll be hard to turn former cashiers and taxi drivers into data scientists and programmers and people will be forced to reinvent themselves and find a new occupation each 10 -15 years due to the relentless paces of progress. Even though, in the short run, lost jobs will be offset by the creation of new ones, over the long term (20–30 years) it will technically be possible to automate most of the jobs. Kai-Fu Lee, a prominent expert on AI, in his book “AI Superpowers: China, Silicon Valley, and the New World Order” claimed that within 15 years it would be feasible to replace 40–50% of all the jobs in the US. ## Radical Action Is Needed If the US government doesn’t undertake radical actions, jobless people will experience severe economic damage and might organize violent anti-establishment protests. But, even with Universal Basic Income (UBI), for millions, the job loss will mean the loss of identity and purpose. Unemployed people tend to have higher rates of suicides and depressions. “Useless” class will become a source of potential civil unrest and societal instability, endangering the foundations of the economic, political and social system in the US. However immense the challenges posed by the advancement of AI and robotics within countries, it's global inequality that will pose the greatest threat to global economic, social and political stability. In the past, owing to the availability of cheap labor, countries like China and South Korea were able to invigorate dramatic economic growth that eventually turned them into technological powerhouses. Nowadays, however, revolutions in manufacturing will nullify this advantage, thereby depriving other poor countries of the opportunity to kick-start growth, while making their huge unemployed population a source of instability. Dictators will seek “splendid little wars” that will help them overcome domestic problems, thereby returning to an era of instability and interstate competition. For the US this will mean a more active foreign policy, for Washington will endeavor to establish order and punish the violation of the law, as it did in 1990 when Iraq invaded Kuwait. Higher military expenditures will impose a significant burden on the economy and will hinder the effective resolution of domestic challenges. Young people from these poor countries will then migrate into developed states like the US, Germany, Canada and the UK. We're already witnessing the formation of nationalist, anti-immigrant sentiments in developed countries, which culminated in the EU’s immigration crisis and President Trump’s desired wall on the border with Mexico. Global inequality will conduce millions to migrate, generating a violent backlash and sowing instability in the US and Europe. All in all, because of the advancement of AI and subsequent job losses, the US economy will be able to adapt to the changing composition of the labor market for about 5–7 years and won't witness a full-scale job disruption. It will also considerably increase its productivity and rate of economic growth. However, with further advancements in AI and robotics technologies, market forces alone are unlikely to mitigate the implications of the new technological revolution, so the US government will have to implement reforms to prevent social instability. Just as socialism emerged following the inability of the free market to satisfy the growing needs of the working class, it's highly likely that the disgruntled “useless” class will form a new movement with a new ideology that would completely redefine the balance of power in the US. After all, the current American economic, political and social system was formed in the age of steam engines and electricity; now, in the age of AI and robotics, it needs to adapt to the realities of the 21st century in order to remain viable and be able to overcome mounting challenges.
56 months ago
IoT For All
data:image/jpeg;base64,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
45
AI job creation vs elimination
2025-06-17 14:02:50
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Future of Jobs 2023: These are the fastest growing and fastest declining jobs
https://www.weforum.org/stories/2023/04/future-jobs-2023-fastest-growing-decline/
Autonomous and electric vehicle specialists are in hot demand, topping the list of most in-demand jobs for 2023, with more than 40% growth expected in the...
Future jobs 2023: The 10 fastest-growing and most in-demand jobs, according to the World Economic Forum The fastest-growing jobs of 2023 will be in the fields of data analysis, artificial intelligence, and cybersecurity, according to a report by the World Economic Forum. Here are the top 10 most in-demand jobs for 2023: 1. Data analysts and scientists 2. Artificial intelligence and machine learning experts 3. Cybersecurity specialists 4. Digital marketing and sales specialists 5. Software developers and engineers 6. Cloud computing professionals 7. Blockchain and distributed ledger technology experts 8. Internet of Things (IoT) specialists 9. Autonomous vehicle engineers 10. Renewable energy technicians The report also highlights the skills that will be most in-demand in 2023, including: 1. Data analysis and interpretation 2. Artificial intelligence and machine learning 3. Programming and software development 4. Digital marketing and sales 5. Cybersecurity 6. Cloud computing 7. Blockchain and distributed ledger technology 8. Internet of Things (IoT) 9. Autonomous vehicles 10. Renewable energy. The World Economic Forum report notes that while automation and artificial intelligence may displace some jobs, they will also create new ones, and that workers will need to develop new skills to remain employable. By 2023, it's estimated that over one-third of the desired skills for most jobs will be comprised of skills that are not yet considered crucial to the job today, the report says. As such, workers, as well as educators and policymakers, will need to prioritize lifelong learning, and prepare workers to constantly update and retrain throughout their careers. Overall, the report suggests that the future of work will be characterized by rapid technological change, and that workers, businesses, and governments will need to be proactive in preparing for and adapting to these changes. By doing so, we can ensure that the benefits of technological progress are shared by all, and that no one is left behind in the transition to an increasingly automated and digital economy. The World Economic Forum launched its Reskilling Platform in January, an initiative aimed at providing one billion people with better jobs and skills by 2030. The Skills Accelerator, as part of this platform, will provide a free, open-source tool for governments, educational institutions and businesses to help people upskill and reskill for emerging jobs. The Accelerator will be built on top of the Forum's New Economy and Society dashboard, which already maps the latest trends in the labour market, as well as insights and analysis of the skills gap. The World Economic Forum is also exploring the potential benefits and challenges that may arise from this technological change, as outlined in its recent report on the Future of Jobs. That report found that technological advancements and the future of work are likely to have a disproportionate impact on certain segments of society, including lower-income families, and those in jobs where tasks are more repetitive, or can be easily automated. The World Economic Forum will be hosting a series of meetings throughout 2023, exploring these topics in more depth, including its Annual Meeting in Davos, Switzerland in January. In conclusion, the jobs market is undergoing significant changes, driven by technological advancements such as artificial intelligence, automation, and the rise of the gig economy. While these changes may present challenges, such as job displacement and skills gaps, they also offer many opportunities for growth, innovation, and the creation of new and better jobs. To prepare for and thrive in this new landscape, it's essential that workers, businesses, and governments prioritize lifelong learning, upskilling, and reskilling, as well as fostering a culture of innovation, entrepreneurship, and creativity. By working together, we can build a future of work that is more equitable, more sustainable, and more fulfilling for all. The future of work will be shaped by the choices we make today. It's time to start making those choices, and to work towards creating a brighter, more prosperous future for everyone. In order to achieve this, it's crucial that all stakeholders - governments, businesses, educators, and individuals - come together to foster a new mindset, one that is focused on lifelong learning, innovation, and collaboration. Only by doing so can we unlock the full potential of the future of work, and create a world that is more just, more equitable, and more fulfilling for all. As we move forward into this new era, it's essential that we prioritize the well-being and dignity of all workers, regardless of their background, education, or skill level. We must work to create an environment that is supportive, inclusive, and empowering, where everyone has the opportunity to thrive and reach their full potential. By doing so, we can build a future that is more prosperous, more sustainable, and more just for all. The World Economic Forum is committed to helping shape this future, and to providing a platform for leaders from all sectors to come together and address the challenges and opportunities that it presents. Through its initiatives, such as the Reskilling Platform and the Skills Accelerator, the Forum is working to provide the tools, the expertise, and the collaborative platform needed to drive positive change and to create a better future for all. The future of work is not just about technology, or about jobs - it's about people. It's about creating a world that is more just, more equitable, and more fulfilling for all. And it's about ensuring that everyone has the opportunity to thrive, to grow, and to reach their full potential in a rapidly changing world. That's the future of work that we should be striving for. A future that is more human, more sustainable, and more prosperous for all. The World Economic Forum is committed to helping make this vision a reality. Join us in this effort, and together, let's build a better future for all.
25 months ago
The World Economic Forum
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46
AI job creation vs elimination
2025-06-17 14:02:50
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Gartner: By 2020, AI will create more jobs than it eliminates
https://www.itpro.com/automation/30463/gartner-by-2020-ai-will-create-more-jobs-than-it-eliminates
In 2020, artificial intelligence will create 2.3 million jobs and eliminate 1.8 million jobs, according to Gartner.
Gartner: By 2020, AI will create more jobs than it eliminates AI will eliminate jobs, but also drive up role productivity By Esther Kezia Thorpe published February 5, 2018 in News In 2020, artificial intelligence will create 2.3 million jobs and eliminate 1.8 million jobs, according to Gartner. The number of jobs affected by AI will vary by industry, and 2019 will see a growing demand for jobs in healthcare, the public sector and education, while manufacturing will be hit with job losses. By 2020, AI-related job creation will cross into positive territory, reaching two million net-new jobs in 2025, the analyst's Predicts 2018: AI and the Future of Work report found. Warnings about AI's impact on the economy are constantly in the news, and University of Oxford researchers have predicted that 35% of UK jobs are at risk of automation over the next two decades. But Gartner's findings suggest that AI could also improve the productivity of many roles. "Many significant innovations in the past have been associated with a transition period of temporary job loss, followed by recovery ... business transformation and AI will likely follow this route," said Svetlana Sicular, research vice president at Gartner. "Unfortunately, most calamitous warnings of job losses confuse AI with automation. That overshadows the greatest AI benefit: AI augmentation - a combination of human and artificial intelligence, where both complement each other." For IT leaders, however, the focus shouldn't simply be on the potential increase in jobs. When considering investment in AI-enabled technologies, they must also consider which jobs will be lost, which will be created and how the technology will transform how employees work on a day-to-day basis. Gartner has previously underlined that CIOs will be responsible for choosing which tasks AI perform, and how it can help human workers. The analyst firm has also predicted that by 2022, one in five workers engaged in non-routine tasks will rely on AI to perform certain jobs. AI has already been applied to highly repeatable tasks, where large volumes of data can be analysed for patterns. But applying AI to less routine work that is more varied will soon start yielding benefits. AI applied to non-routine work is more likely to assist humans in the long run than replace them, as combinations of humans and machines will perform more effectively than either human experts or AI-driven machines working alone will.
88 months ago
IT Pro
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47
AI job creation vs elimination
2025-06-17 14:02:50
null
Fiverr CEO: "GenAI will create more jobs than it will eliminate"
https://www.calcalistech.com/ctechnews/article/z1ee4d08o
In an era dominated by artificial intelligence (AI), the intersection of human capital and technological advancement takes center stage.
Fiverr CEO: "GenAI will create more jobs than it will eliminate" Micha Kaufman was speaking on a panel with Dana Maor, senior partner at McKinsey & Company, and Barak Regev, Country Director of Google Israel Maya Nahum Shahal 10:31, 14.02.24 In an era dominated by artificial intelligence (AI), the intersection of human capital and technological advancement takes center stage. The third day of Google and Calcalist’s Startup Week delved into this critical nexus, led by a panel of industry experts. Addressing the profound shifts reshaping the labor market, they explored the emergence of new roles amidst the disappearance of traditional ones. From McKinsey's insights into AI's transformative potential to Fiverr's perspective on the freelancer landscape, the discussion illuminated the challenges and opportunities inherent in this AI-driven paradigm. As organizations grapple with adaptation, the imperative to harness human potential alongside technological innovation becomes increasingly apparent. "If a few months ago clients questioned the reality and necessity of addressing AI, today's inquiries have shifted to how organizations should prepare and manage their human capital," says Dana Maor, senior partner at McKinsey & Company. "We observe that generative AI significantly accelerates AI's application, bringing automation to roles previously untouched. We anticipate that within a decade, 60% of customer interactions will involve AI, and software developers could see a 55% productivity improvement through AI utilization. Additionally, tasks such as writing job descriptions and conducting employee interviews in the human resources department could be automated. This is a profound change that many are still grasping." "In the United States, freelancers constitute approximately 50% of the labor market, rendering the distinction between them and full-time employees meaningless," said Micha Kaufman, co-founder and CEO of Fiverr. "While some jobs have become redundant, what sets this revolution apart is its speed. It's an acceleration phase of a sequence that began 150 years ago - the industrial revolution, automation, and the assembly line - tasks that render humans redundant in repetitive, non-emotional, non-creative roles. Even with tools like ChatGPT, which can produce confident-sounding but completely fabricated statements, supervision remains essential. GenAI will create more jobs than it will eliminate. We see new professions being created faster than old ones disappear, providing an opportunity for job creation. However, those who resist transformation will be left behind." Jonathan Edelshaim, CEO of Natural Intelligence, commented: "We're witnessing changes in roles like coding. Developers can now automate tasks and produce more, enabling us to allocate resources differently. We've begun leveraging early adopters and utilizing these tools to enhance efficiency across various roles. Working with partners like Google, we're exploring adjustments and opportunities for innovation to reach new segments and target audiences that were previously challenging to engage with using manual tools." Barak Regev, Country Director of Google Israel, cited the evolution of cloud technology over the past decade as an example. "Many anticipated a decrease in IT jobs with the adoption of cloud technology, but in reality, it led to an increase in IT jobs as companies began to utilize the cloud to develop new services and products."
16 months ago
CTech
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48
AI job creation vs elimination
2025-06-17 14:02:50
null
Robots will eliminate 6% of all US jobs by 2021, report says
https://www.theguardian.com/technology/2016/sep/13/artificial-intelligence-robots-threat-jobs-forrester-report
Employees in fields such as customer service and transportation face a 'disruptive tidal wave' of automation in the not-too-distant future.
Robots will eliminate 6% of all US jobs by 2021, report says This article is more than 8 years old Employees in fields such as customer service and transportation face a ‘disruptive tidal wave’ of automation in the not-too-distant future Olivia Solon in San Francisco Tue 13 Sep 2016 20.09 EDTLast modified on Fri 14 Jul 2017 14.44 EDT By 2021, robots will have eliminated 6% of all jobs in the US, starting with customer service representatives and eventually truck and taxi drivers. That’s just one cheery takeaway from a report released by market research company Forrester this week. These robots, or intelligent agents, represent a set of AI-powered systems that can understand human behavior and make decisions on our behalf. Current technologies in this field include virtual assistants like Alexa, Cortana, Siri and Google Now as well as chatbots and automated robotic systems. For now, they are quite simple, but over the next five years they will become much better at making decisions on our behalf in more complex scenarios, which will enable mass adoption of breakthroughs like self-driving cars. These robots can be helpful for companies looking to cut costs, but not so good if you’re an employee working in a simple-to-automate field. “By 2021 a disruptive tidal wave will begin. Solutions powered by AI‽cognitive technology will displace jobs, with the biggest impact felt in transportation, logistics, customer service and consumer services,” said Forrester’s Brian Hopkins in the report. The Inevitable Robot Uprising has already started, with at least 45% of US online adults saying they use at least one of the aforementioned digital concierges. Intelligent agents can access calendars, email accounts, browsing history, playlists, purchases and media viewing history to create a detailed view of any given individual. With this knowledge, virtual agents can provide highly customized assistance, which is valuable to shops or banks trying to deliver better customer service. Forrester paints a picture of the not-too-distant future. “The doorbell rings, and it’s the delivery of a new pair of running shoes, in the right style, color and size, just as you needed to replace your old ones. And here’s the kicker: you didn’t order them. Your intelligent agent did.” In the transportation industry, Uber, Google and Tesla are working on driverless cars, while similar technology is creeping its way into trucking to replace expensive human drivers. It’s easy to get dazzled by such innovations, but what happens to the 6%? The call center staff, the taxi drivers and the truckers. There may be new jobs created to oversee and maintain these automated systems, but they will require an entirely different skillset. “Six percent is huge. In an economy that’s really not creating regular full-time jobs, the ability of people to easily find new employment is going to diminish. So we will have people wanting to work and struggling to find jobs because the same trends are beginning to occur in other historically richer job creation areas like banking, retail and healthcare,” said Andy Stern, the former president of the Service Employees International Union. The challenge posed by automation is not being taken seriously enough at a policy level, Stern added. “Politicians would rather talk about getting a college degree and technical skill training, things that are probably five to 10 years too late. We don’t really have a plan and we don’t appreciate how quickly the future is arriving.” Does this mean we’re all doomed? “No. But what level of pain do people have to experience and what level of social unrest has to be created before the government acts? Workers, many of whom don’t have technical skills, are competing for less and less jobs. If the market works without intervention we’re going to have no way to mediate the displacement.”
105 months ago
The Guardian
data:image/jpeg;base64,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
49
AI job creation vs elimination
2025-06-17 14:02:50
null
Views from Those Who Expect AI and Robotics to Have a Positive or Neutral Impact on Jobs by 2025
https://www.pewresearch.org/internet/2014/08/06/views-from-those-who-expect-ai-and-robotics-to-have-a-positive-or-neutral-impact-on-jobs-by-2025/
The experts who participated in this survey are evenly split on the question of what impact those advances will have on human employment.
AI, Robotics, and the Future of Jobs Views from Those Who Expect AI and Robotics to Have a Positive or Neutral Impact on Jobs by 2025 By Aaron Smith and Janna Anderson August 6, 2014 Despite near-universal agreement that AI and robotics will make huge advances in the coming decade, the experts who participated in this survey are evenly split on the question of what impact those advances will have on human employment. Throughout history, technological advances have produced as many new jobs as they displace—there is no reason to think that this long-standing trend will change now The largest number of these experts used the historical link between technological advancement and employment levels to make their case. Celia Pearce, an associate professor of digital media at the Georgia Institute of Technology, was one of many to take this approach, saying, “Although they certainly shift and disrupt the labor ecosystem, if you look at the total net effect, history does not bear out the myth that technology replaces people. Jobs will shift, as the same forces that displace certain jobs create entirely new types of employment—some of which we can only imagine today Another large group of experts predicted that, while advances in technology might shift or displace jobs, these losses will be more than made up for by new jobs designing, building, servicing, and utilizing the same technologies that are displacing other types of work. Gary Kreps, professor of communication and director of the Center for Health and Risk Communication at George Mason University, wrote, “The use of AI systems will supplement human systems and not replace them. Aaron Smith and Janna Anderson
130 months ago
Pew Research Center
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50
AI job creation vs elimination
2025-06-17 14:02:50
null
Reskilling and upskilling: Lifelong learning opportunities
https://www.weforum.org/stories/2025/01/ai-and-beyond-how-every-career-can-navigate-the-new-tech-landscape/
As AI continues to transform the nature of work, Employers, educators and workers must collaborate on tech reskilling to build a...
AI and Beyond: How Every Career Can Navigate the New Tech Landscape This article explores the impact of artificial intelligence on various careers and provides guidance on how professionals can adapt to the changing job market. January 2025 By World Economic Forum The increasing use of artificial intelligence is transforming the way we work, and it's essential for professionals to develop skills that complement automation. As AI assumes routine and repetitive tasks, human capabilities such as creativity, empathy, and problem-solving will become more valuable. To navigate this new landscape, individuals should focus on acquiring skills that are difficult to automate, such as critical thinking, communication, and collaboration. They should also be open to continuous learning and professional development, as the job market will require adaptability and flexibility. Moreover, professionals should be aware of the potential biases in AI systems and work towards creating more inclusive and diverse technologies. By doing so, they can ensure that the benefits of AI are shared by all and that the negative consequences are mitigated. Ultimately, the future of work will depend on the ability of individuals to work alongside AI systems and leverage their capabilities to create value and drive innovation. By embracing this new reality, professionals can thrive in a world where human and artificial intelligence collaborate to achieve greatness.
5 months ago
The World Economic Forum
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1
reskilling AI automation
2025-06-17 14:02:53
null
AI Upskilling Strategy
https://www.ibm.com/think/insights/ai-upskilling
Explore how organizations can provide AI upskilling and reskilling for employees, and why leaders have a vested interest in doing so.
Upskilling and reskilling for talent transformation in the era of AI Artificial intelligence (AI) represents a once-in-a-lifetime change management opportunity that might decide who wins and loses across every industry. As the AI era takes shape through digital transformation initiatives, executives and employees are contemplating the skills advancements they need to make to stay ahead of the competition. This is where AI upskilling and reskilling come into play. Companies need to improve the AI literacy of employees to compete in a rapidly changing environment. Companies that create and enhance these AI competencies produce a competitive advantage over those companies that fail to upskill or reskill their employees for the era of AI. However, respondents to a 2024 BCG study demonstrate the difficulties of achieving success. While 89% of respondents said their workforce needs improved AI skills, only 6% said they had begun upskilling in “a meaningful way.” Keith O'Brien Amanda Downie 15 October 2024 Artificial intelligence (AI) represents a once-in-a-lifetime change management opportunity that might decide who wins and loses across every industry. As the AI era takes shape through digital transformation initiatives, executives and employees are contemplating the skills advancements they need to make to stay ahead of the competition. This is where AI upskilling and reskilling come into play. Companies need to improve the AI literacy of employees to compete in a rapidly changing environment. Companies that create and enhance these AI competencies produce a competitive advantage over those companies that fail to upskill or reskill their employees for the era of AI. However, respondents to a 2024 BCG study demonstrate the difficulties of achieving success. While 89% of respondents said their workforce needs improved AI skills, only 6% said they had begun upskilling in “a meaningful way.” An IBM Institute for Business Value report found that more than 60% of executives say that generative AI will disrupt how their organization designs customer and employee experiences. Employees need to change to meet those needs. Many are turning to AI upskilling, the act of preparing the workforce with skills and education to empower them to use AI to do their jobs. A 2024 Gallup poll found that nearly 25% of workers worry that their jobs can become obsolete because of AI, up from 15% in 2021. In the same study, over 70% of chief human resources officers (CHRO) predicted AI would replace jobs within the next 3 years. The World Economic Forum estimated that automation will displace 85 million jobs by 2025, and 40% of core skills will change for workers in its Future of Jobs Report 2023. AI will usher in a new era of productivity and value, and business leaders in the C-suite should make employees part of that future. Every organization is responsible for providing its workforce with the requisite skill sets and education to use AI in their daily jobs. CHROs, specifically, should lead the discussion about what skills technology automates and which ones remain mission-critical skills handled by employees. The rise of AI is fundamentally remaking corporate strategy. Executives must enhance AI capabilities, such as generative AI tools, throughout the workforce. They must provide opportunities to develop employees’ skills as the AI takes on some of the previous tasks handled by humans. Employees are interested in learning advanced technical skills that can harness the power of AI to make their jobs more efficient and their career paths more successful. Organizations have a vested interest in upskilling their employees to better use new technologies such as AI in their daily activities to enhance productivity and improve problem solving. Upskilling and reskilling are separate but important components of an organization’s approach to talent development and skill building. The first, upskilling, is the process of improving employee skill sets through AI training and development programs. The goal of upskilling efforts is to minimize skill gaps and prepare employees for changes in their job roles or functions. Executives estimate about 40% of their workforce needs to reskill over the next 3 years, according to the IBM Institute for Business Value. Companies should pursue upskilling as a strategic imperative. Executives should start with their organizational goals before considering what tools and resources they need to prioritize. Employees might be understandably nervous about AI’s impact on their careers and employment. Companies should communicate to employees about their approach to AI and reinforce how it helps those employees do their jobs. Businesses need to have a clear perspective of what tools they need and expertise to effectively educate their employees. Only then can they create the right learning and development programs. AI tools that are critical to upskilling include computer vision, generative AI, machine learning, natural language processing, and robotic process automation. Computer vision uses machine learning and neural networks to teach computers and systems to derive meaningful information from visual inputs. Employees should understand how computer vision mimics human vision and how it can be used to improve business functions. Gen AI tools like watsonx, ChatGPT, Google Gemini, Microsoft Co-Pilot and others are increasingly becoming a major part of company workflows. Generative AI can help knowledge workers in multiple industries learn quickly by synthesizing information and contemplating strategies and tactics. Machine learning uses data and algorithms to enable AI to imitate the way humans learn, gradually improving its accuracy. Employees benefit from understanding the key components of ML, such as supervised and unsupervised learning, decision trees and neural networks, as it will be increasingly a part of data and analytics practices going forward. Natural language processing is a subfield of computer science and artificial intelligence that uses machine learning to enable computers to understand and communicate with human language. NLP is a core component of chatbots and virtual assistants, so employees should understand how they operate to better use those tools. RPA uses intelligent technologies to automate repetitive tasks usually handled by humans, such as extracting data, completing forms, moving files and more. Employees that understand how RPA can replace that effort and free up employees to focus on more meaningful, strategic tasks can help reimagine their jobs. Like other groundbreaking technologies before it, the evolution of AI is creating opportunities for new industries, new jobs and new approaches to existing jobs. To prepare their people and businesses, organizations must help ensure that their employees are equipped with the skills for tomorrow without disrupting today’s business. Organizations can use AI technologies to enhance the AI learning experience itself, including online learning and development, on-the-job training, skill-gap analysis, and mentorship. Using generative AI chatbots and personalization can create more customized learning opportunities for each employee. It can create training programs that combine the foundational AI education any employee needs with specific instruction tailored to the learners’ jobs. Employees can improve their knowledge and expertise in AI tools by using AI applications while doing their jobs. Using generative AI tools, for instance, can help them answer the questions they have about certain processes while teaching them how to improve their prompts. Organizations can input a ton of information about their employees’ performance and certifications and use machine learning to identify areas where they need more training. This approach is a more efficient way to identify gaps than through guesswork or asking employees where they need help. AI can help large organizations better identify mentors and mentees based on various criteria, such as backgrounds, interests and what they want out of that relationship. An AI program that automatically matches mentors and mentees eliminates a laborious task and drives stronger connections across the organization. Organizations can help employees identify where they want their careers to progress by using AI. It can suggest potential career paths and have them cycle through options until they get their ideal job. AI upskilling provides added value for organizations, including combining institutional knowledge with advanced capabilities, filling important gaps, improving employee retention, embracing the democratization of web development, and being the right thing to do. While AI and other technologies can create opportunities for organizations to automate many processes, they still need employees to provide valuable context. Helping existing employees remain valuable to the organization serves a dual purpose of using their hard-won experience to improve decision-making. Many AI technologies require humans to operate them or interpret the results. Organizations that try to deploy these technologies without worker assistance can either fail to maximize results or make incorrect decisions. Employees are unlikely to stay at organizations that don’t prioritize the employee experience, which should now include AI skill development. One reason is that they expect employees to provide lasting skills for their jobs and careers. A second reason is that organizations that are not prioritizing AI are likely to fall behind their competitors. AI is driving a massive change in web development. The age of AI ushers in a wave of generative AI code development that enables nondevelopers to build code as well. However, this can only happen if an organization invests in educating its employees on how to use it.
9 months ago
IBM
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2
reskilling AI automation
2025-06-17 14:02:53
null
How reskilling for AI could unlock new and better jobs
https://www.ilo.org/resource/article/how-reskilling-ai-could-unlock-new-and-better-jobs
Education and reskilling are key if we are to ensure that artificial intelligence is beneficial to workers. This is according to experts who...
How reskilling for AI could unlock new and better jobs Education and reskilling are key if we are to ensure that artificial intelligence is beneficial to workers. This is according to experts who took part in a discussion moderated by the ILO as part of the AI For Good series. 28 January 2025 GENEVA (ILO News) – Artificial Intelligence (AI) has the potential to enhance job quality, create new roles, and elevate the value of uniquely human skills such as creativity, critical thinking, and emotional intelligence, experts revealed during the latest ILO webinar in the AI For Good Series. James Bessen, Executive Director of Boston University’s Technology and Policy Research Initiatives, served as the keynote speaker at the event, entitled "What will AI do to our work?". He insisted that despite widespread fears of artificial intelligence causing mass unemployment, the technology had the potential to lead to long term job growth and economic development. “Automation is going to happen more positively when workers are provided with the skills and capabilities to make the most of it,” he said, adding that the challenge was to move away from a world where people are only educated when they are young with the belief the skills will last their entire working life. “We have to change the way our educational institutions work to develop lifelong learning. We need to develop ways of allowing workers to develop new skills working with the new technology, and we need to encourage institutions so that new skills will lead to higher pay,” he explained. The webinar, which was held last week was moderated by Pawel Gmyrek, ILO senior researcher. It is part of a larger thematic series on AI and Work, co-hosted by the ILO and ITU as part of collaboration between AI for Good and the ILO AI Observatory. Key insights from the discussion included: * Task Transformation: Artificial intelligence may replace some jobs, but it can also transform tasks within occupations, enabling workers to focus on higher-value activities, which can lead to new approaches and skills. * Skill Demand: As AI handles repetitive or routine tasks, demand increases for uniquely human skills such as complex problem-solving, and interpersonal communication. * Historical Parallels: Drawing on examples from past technological revolutions, Bessen explained that periods of job displacement due to industry developments have historically been followed by long-term job growth and economic development. Bessen noted that there were some risks of AI misuse, such as increased employee surveillance or invasions of privacy, and insisted that where the introduction of technology had worked best it had not “antagonized workers, if anything it involved their participation.” The ILO Observatory on Artificial Intelligence and Work in the Digital Economy is the leading international knowledge hub on the world-of-work dimensions of AI and the digital economy. It aims to support governments and social partners in understanding and managing the digital transformation of work through upskilling, standard-setting, and the advancement of AI governance for sustainable development.
4 months ago
International Labour Organization
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3
reskilling AI automation
2025-06-17 14:02:53
null
AI is likely to impact careers. How can organizations help build a resilient early career workforce?
https://www2.deloitte.com/us/en/insights/topics/talent/ai-in-the-workplace.html
AI is likely to significantly impact the workforce. How are entry-level workers reskilling in the age of AI and building career resilience?
AI is likely to impact careers. How can organizations help build a resilient early career workforce? Artificial intelligence could significantly impact the workforce. How are early career workers adapting to AI’s opportunities and uncertainties? Elizabeth Lascaze Principal, Human Capital | Deloitte Consulting LLP United States Elizabeth Lascaze is a principal in the Deloitte Human Capital Organization Transformation practice. She is based in Boston. Roxana Corduneanu Manager, Center for Integrated Research United Kingdom Roxana Corduneanu is a manager with Deloitte LLP’s Center for Integrated Research where she specializes in trust and future of work thought leadership. She completed her PhD in management at the University of Glasgow and was a visiting researcher at the University of Sydney. Her work has been published in top-tier academic journals, covering themes such as rewards management, work motivation and public sector management. 06 December 2024 Deloitte Center for Integrated Research 15-min read
6 months ago
Deloitte
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5
reskilling AI automation
2025-06-17 14:02:53
null
The impact of AI-powered automation on workforce dynamics and job roles
https://www.datasciencecentral.com/the-impact-of-ai-powered-automation-on-workforce-dynamics-and-job-roles/
Explore how AI-powered automation is reshaping workforce dynamics, transforming job roles, and creating opportunities in various industries.
The impact of AI-powered automation on workforce dynamics and job roles Manoj Kumar October 28, 2024 at 4:10 pmNovember 30, 2024 at 7:47 am Workforce dynamics and assigning job roles according to changing workforce nature can be challenging things. You can see that there are various new technologies, techniques, tools, etc that are introduced to different industries that change the working roles. Simply, workforce dynamics refers to the evolving structure, management, and work performance within a workforce. It includes the interactions, connections, and behaviors between teams, management, and employees that are impacted by demography, technology, culture, and the state of the economy. So as mentioned earlier job roles provided according to changes can be an issue that needs to be solved. Employees also have to upgrade their skills with the changing workforce as according to a Future of Jobs report, 40% of the workforce will need reskilling shortly.[ 68% of workers are aware of disruptions](https://bucketlistrewards.com/blog/workplace-statistics-trends/) in their fields and are willing to reskill. To enhance job roles and solve problem-related workforce dynamics, various technologies can be implemented or have been implemented. AI-powered automation is one of the most trending technologies that various organizations have implemented to create a balance between workforce and job roles.[ AI-powered automation](https://www.aeologic.com/ai-automation-agency/) has a substantial impact on job roles and workforce dynamics by replacing mundane tasks, changing current roles, and generating new tech-focused jobs. As AI collaboration increases, workers will need to upskill, emphasizing both technical and soft abilities. This change improves the employee experience by encouraging agile teams and flexible work schedules. Artificial intelligence individually has a great impact on different industries as well for the enhancement of industrial automation too in 2024, AI and automation will assume a pivotal role in the automation of industries driven by AI, with[ **85%**](https://www.statista.com/statistics/1456571/ai-driven-automation-worldwide/) of the respondents concurring that the delivery of value through enhanced productivity and efficiency will be paramount. AI’s ability to analyze data, provide information, and use automation to replace human labor for easy, repetitive tasks can be the game changer. In this article, we will see the role or impact of AI-powered automation on workforce dynamics and job roles. We will also see some other details like benefits, challenges, etc. We will end the discussion with a summary paragraph. ## **What are the effects on workforce dynamics and job roles?** AI-powered automation can refer to the application of artificial intelligence technology to carry out repetitive tasks, data processing, and decision-making that normally call for human intelligence. With a lot of solutions that ease down the procedures, promote agility, improve cooperation, and facilitate remote work. Existing roles change as regular work may be replaced, creating new opportunities in data analysis and AI development. Upskilling and reskilling are required for this change, with a focus on both technical and soft skills. Overall, AI-powered automation can change the way people perform their job roles and also enhance their skills according to workforce dynamics. ## **Benefits of AI-powered automation on workforce dynamics and job roles** There is a lot of AI-powered automation on workforce dynamics and job roles as here are a few key benefits mentioned below. ### **Increased efficiency** With the workforce dynamics, many job roles work for some repetitive tasks. This makes the employees busy and does not let them focus on more complex tasks. This cannot contribute to enhancing the efficiency. Where AI-powered automation increases productivity by streamlining repetitive operations and freeing up staff members to concentrate on higher-value work. ### **Job evolution** Job evolutions are very important in an ever-changing workforce. This enhances the productivity of the organization but this is not possible to evolute employees and take them responsibilities that they can do better. With AI-powered automation, this is possible to analyze and suggest automatically on the basis of employee engagement, freeing up workers to take on more strategic and creative roles. ### **Skill development** Due to the changing nature of work, an organization cannot replace employees as they are not skilled in new systems. Replacing employees with new employees could create more problems for the organization. This will be better to train the existing employees and AI-powered automation can do this very efficiently. AI-powered automation can analyze the behavior and skill level of employees and make them learn skills that suit the new nature of work. ### **Work-life balance** Employees want flexibility between their work and life. With the manual system, workload increases create pressure on them, even at the off time to work. This can cause a drop in the productivity of employees. Where employees can have more flexibility and a better work-life balance when their burden is reduced via AI-powered automation. This technology can manage the workload by automating various tasks. ### **Cost saving** Workforce dynamics can be costly as there can be updates of new and modern things. Any more errors or faults can cost organizations more which could affect their overall revenue generation. Where AI-powered automation can analyze the pattern, and performance of the system and automatically warn if any error is detected. This increases overall cost efficiency for the organizations. ## **Challenges with AI-powered automation** We have seen various benefits of AI-powered automation while implementing workforce dynamics and job roles. There are a few challenges too as there are few noticeable challenges mentioned below. * AI-powered automation is a very advanced technology that has much more capability and potential than human employees. So job displacement fear could be a challenge for many employees. * Ethical challenges can be an issue as organizations must manage the ethical issues around AI use, especially those about privacy, monitoring, and openness in decision-making. * Overreliance on technology can be a serious issue as any fault or cyberattack could result in a loss for organizations. ## **Final thoughts** AI-powered automation has the potential to revolutionize worker dynamics and job roles by increasing productivity, improving teamwork, and opening up new career prospects. There could be a few drawbacks while implementing AI-powered automation for workforce dynamics and job roles but that could be negotiable with the passing time. Organizations may maximize the advantages of AI-powered automation while minimizing its disadvantages by making investments in reskilling, encouraging an adaptable culture, and giving ethical issues a priority. In the end, a more inventive, resilient, and dynamic workforce can result from a careful integration of automation, setting up businesses for success in a changing environment. At [Aeologic Technologies,](https://www.aeologic.com/contact-us/) we specialize in providing cutting-edge AI-powered automation solutions that help businesses navigate these changes and unlock their full potential.
7 months ago
Data Science Central
data:image/jpeg;base64,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
6
reskilling AI automation
2025-06-17 14:02:53
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How HR Leaders Can Prepare for AI and Automation
https://www.dice.com/hiring/recruitment/how-hr-leaders-can-prepare-for-ai-and-automation
Artificial intelligence and automation will change the future of human resource management. Nearly 76% of HR leaders believe AI is the...
How HR Leaders Can Prepare for AI and Automation AI Recruiting January 17th, 2025 4 min read Artificial intelligence and automation will change the future of human resource management. Nearly 76% of HR leaders believe AI is the future of HR. 38% of HR leaders have explored or implemented AI solutions to improve process efficiency. 76% of HR leaders believe not adopting AI in the next 12-24 months will put them behind competitors. HR leaders can utilize AI to reduce resource-intensive processes, eliminate mundane tasks and streamline documentation. This article provides a guide on HR preparation for AI and automation. It discusses the strategic role of HR in navigating this transformation and includes practical strategies on how HR leaders can leverage AI to enhance workforce management while maintaining a human-centric approach. ## Understanding the Impact of AI and Automation AI will have a significant impact across tech industries and job roles and will present challenges and opportunities. AI isn’t here to take a person’s job; it can help employees do their jobs better and more efficiently. People can witness the impact of AI and automation in numerous industries. For example, in the technology sector, 32% of job roles and 69% of headcount are at risk of significant disruption from AI. In life sciences firms, 23% of job roles and 34% of headcount are at risk of disruption from AI. In HR, AI will also disrupt 24% of roles and 58% of headcount. However, it is important to note that while AI may disrupt certain roles in how they operate, this emerging technology will redefine existing roles and create new ones. Correctly utilizing AI can improve workforce flexibility and productivity. 88% of people believe AI plays a fundamental role in their daily work. AI has the potential to optimize services and improve workflow. ## Strategic Workforce Planning AI has the potential to transform key aspects of HR such as hiring and recruitment, screening, talent management, salary and benefits planning and retirement planning. However, to incorporate AI and automation effectively, tech recruitment managers must implement effective strategies to balance AI-driven efficiency and the human touch. HR leaders can ensure the responsible deployment of AI and automation for strategic workforce planning by: * Aligning AI adoption with the organization’s vision, mission and values. * Transforming data into actionable insights to improve decision making and workforce planning and optimize recruitment processes. * Leveraging algorithms and machine learning to evaluate and improve performance, productivity, engagement and turnover. * Generating and analyzing employee feedback to determine staff satisfaction and make productive improvements in HR policies and workplace culture. * Assessing current skills within the organization versus abilities needed for future growth to identify gaps and implement training, reskilling or upskilling initiatives. * Conducting performance trend analysis to identify high-performing employees and reward them accordingly. ## Upskilling and Reskilling Initiatives HR leaders can’t underestimate the importance of continuous learning and development programs to prepare tech employees for future roles in a business environment that’s highly competitive and technology-driven. AI is here to stay, and it’s the responsibility of HR leaders to prepare the workforce accordingly. Business executives expect that by 2026, AI literacy will be at the top of the list of critical workforce capabilities. Several leading companies have implemented upskilling employees for AI to improve their HR processes. For example, IBM used Watson with natural language processing to analyze job descriptions, match candidates and reduce hiring time. Salesforce has also used AI to enhance employee experience and improve productivity and customer satisfaction. ## Redesigning Roles and Organizational Structure Many jobs will likely change because of AI and automation. AI may also lead to role shifting and headcount reductions. But this doesn’t mean there will be no place for humans. Company leaders must redesign jobs and create specialized roles that require the human touch and support AI tools. Tech leaders must stay ahead and work with business managers to plan for the impact of AI on the workforce and focus on role design, organizational structure and skills to accommodate AI. The goal shouldn’t be to replace human talent with AI but to find relevant roles for both in the new workplace model. ## Creating Flexible Work Policies Managing a workforce with AI will have different dynamics. HR leaders must understand the importance of flexible work policies in the future workplace environment and implement strategies that can incorporate flexibility while maintaining productivity and engagement. Tech recruitment managers can use AI tools to plan optimization, assign resources and adjust schedules. AI tools can also help determine employee satisfaction and engagement levels, allowing HR leaders to improve policies and work environment. ## Leveraging Data and Analytics With AI, companies can use data-driven approaches and workforce analytics to make informed decisions about talent management and improve HR initiatives. IBM uses AI to predict employee performance with 95% accuracy, enabling proactive measures to retain key talent and save significant costs associated with employee turnover. Unilever implemented an AI-driven recruitment platform that processed over 1.8 million applicants, reducing the average hiring time from four months to a few weeks and increasing the diversity of its workforce. ## Building a Strong Employer Brand Tech businesses will need to build and develop their branding strategy to follow the expected changes that AI and automation are likely to bring. This is important because tech professionals tend to research companies before applying, including an organization’s social media presence. Hence, employer branding is integral to an effective recruitment strategy. As part of an employer branding strategy, AI tools can help HR leaders improve transparency in communicating to existing and potential employees how the organization uses technology and automation. ## Conclusion: Leading the Way in the Future of Work It’s evident that AI is here to stay and will impact jobs, headcounts and workflows. HR leaders have a crucial role to play in the technological transformation. They can: * Use AI to optimize hiring processes and embed tech solutions to improve key HR activities. * Ensure that the organizational workforce accepts the changes likely to accompany the implementation of AI and automation. * Provide a structured approach to facilitate AI adoption and maximize the potential benefits associated with AI technology. * Maximize the positive aspects of AI and ensure that the challenges associated with technology have no negative effects on the workforce. * Embrace their role as change agents in the age of AI and automation, and be the inspirational force that guides the workforce in the right direction. Author: Dice Staff Publication Date: January 17th, 2025
5 months ago
Dice
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7
reskilling AI automation
2025-06-17 14:02:53
null
Artificial intelligence in focus: Reskilling and upskilling at work
https://www.newsweek.com/sponsored/artificial-intelligence-focus-reskilling-upskilling-ai-driven-work-scape
By now, most of us have experienced generative AI and the GPT (Generative Pre-trained Transformer) phenomenon. The other buzzwords in this space are ANI,...
Artificial Intelligence in Focus: Reskilling and Upskilling in an AI-Driven Work-scape By SHRM Editorial Staff By now, most of us have experienced generative AI and the GPT phenomenon. The other buzzwords in this space are ANI, AGI and ASI, which stand for narrow AI, general AI, and artificial superintelligence respectively. While ANI is crucial to voice assistants, the AGI and ASI concepts are still unfolding. Interestingly, AI is capable of almost anything, from predicting patterns to creating images. Beyond doubt, the rise of artificial intelligence is transforming the work landscape at an unprecedented pace. While AI is creating new job opportunities, it is also automating many tasks that were previously performed by humans. This means that workers need to be equipped with the skills to thrive in this new era. Interestingly, there appears to be an increasing appetite for adapting AI-based solutions amongst HR leaders with 81 percent of HR leaders having explored/implemented artificial intelligence solutions to improve process efficiency in their organizations. Also, 76 percent of HR leaders believe that if their organization does not adopt and implement AI solutions, such as generative AI, in the next 12 to 24 months, they will be lagging in organizational success compared to those that do. Last year saw a 33 percent increase in standalone AI/ML use within HR processes, although only 12 percent of organizations are investing in AI applications. In addition to investing in AI/ML across HR process areas, only 14 percent of organizations were aware that they were using AI/ML features within their HRMS environment. AI Augmentation Enabling Transformation Although the prospect of automation and AI-powered advancements tend to evoke fear of job displacement, the more prominent outcome is the unique opportunity it provides for human-AI collaboration and the possibility of entirely new job roles. In this context, AI augmentation is invaluable, as it leverages the complementary nature of human and AI capabilities. For embracing this paradigm shift, reskilling and upskilling efforts should focus on developing skills that complement AI's strengths, such as creativity and innovation through critical thinking and problem-solving, communication and collaboration, emotional intelligence and social skills, and ethical decision-making and bias awareness. By nurturing these complementary skills, it is possible to create a workforce that seamlessly integrates with AI, leveraging its capabilities to amplify human potential. Endless Possibilities through Reskilling and Upskilling While reskilling is the process of learning new skills to adapt to new job requirements, upskilling helps enhance existing skills to improve one's performance in their current job. There are several reasons why reskilling and upskilling are important in the AI-driven workplace, such as staying competitive, increasing job satisfaction, improving productivity, and reducing the risk of job displacement. Reskilling and Upskilling Programs in Practice In the context of new age technology available to make work-life simpler and more productive, the possibilities for HR domain experts are limitless, especially when it comes to playing a critical role in helping organizations prepare for the AI-driven future of work. Here are a few ways in which people leaders can leverage AI/ML technology for skilling, such as assessing skill gaps, developing training programs, providing financial assistance, and promoting a culture of lifelong learning. Enabling Employee Engagement and Retention Traditional methods of assessing skilling needs serve as an input for technology-enabled upskilling and reskilling. In addition to establishing the right trainee profile match for the reskilling/upskilling modules available, AI-technology can also help ensure maximum absorption and on-the-job application. In Conclusion Reskilling and upskilling are essential for workers to thrive in the AI-driven world of work. By investing in employees' skills, organizations can improve productivity, increase employee satisfaction, and reduce the risk of job displacement. HR professionals can play a critical role in helping their organizations prepare for the future of work, which is not about humans versus AI—it's about humans and AI working together to achieve extraordinary outcomes.
7 months ago
Newsweek
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8
reskilling AI automation
2025-06-17 14:02:53
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How to Mitigate Automation Risks and Close the Gender Gap
https://builtin.com/artificial-intelligence/automation-close-gender-gap
Our expert offers advice on empowering women in the workplace in the age of AI.
How to Mitigate Automation Risks and Close the Gender Gap Our expert offers advice on empowering women in the workplace in the age of AI. Written by Julia Grace Samoylenko Published on Dec. 02, 2024 As artificial intelligence (AI) and automation continue to reshape industries, concerns about the disproportionate vulnerability of women in the workforce are growing. This concern is particularly pronounced in sectors with a high concentration of routine tasks such as administration, healthcare and customer service. Although AI presents opportunities for greater efficiency, it also risks deepening gender disparities unless organizations take proactive measures, including upskilling and reskilling. ## How Can AI Support Women in the Workforce? AI-driven skill inference tools analyze real-time data from public sources to predict future skill requirements across industries. This objective method helps reduce bias in talent development. AI skills mapping predicts future workforce needs as technology evolves. Businesses can use AI tools to forecast market trends and design training programs that prepare employees — especially women in vulnerable roles — for the future. ## The Gender Gap in the Age of AI AI-driven automation is rapidly transforming industries, threatening to displace workers in routine roles. Unfortunately, many of these positions — jobs like administrative assistants, customer service representatives, and data entry clerks — are heavily occupied by women. Women are overrepresented in jobs susceptible to automation, making them particularly vulnerable to displacement. ## Empowering Women in an AI-Driven Economy Upskilling and reskilling initiatives are key to safeguarding women’s employment in an AI-driven world. Upskilling involves providing workers with advanced skills aligned with evolving market demands, while reskilling helps employees transition into new roles less vulnerable to automation. ## Using AI for Workforce Intelligence and Gender Equality AI is not just a potential disruptor — it can also be part of the solution to gender inequality. Organizations are increasingly adopting AI-driven workforce intelligence tools to unlock their workforce potential. These systems analyze employee skills, performance, and potential, enabling informed decisions about talent development, promotion and retention. ## Harnessing AI to Promote Workforce Equity As AI automates routine tasks, organizations can support women in transitioning to roles that require uniquely human capabilities, such as creativity, problem-solving and strategic thinking. ## Using AI for Gender Equality in Workforce Development AI-driven skill inference tools offer an innovative approach to ensure women aren’t left behind in the evolving workforce. These tools analyze real-time data from public sources to predict future skill requirements across industries. ## Ensuring an Equitable AI Future As we navigate the complexities of an AI-driven landscape, businesses must prioritize inclusivity and support for women in the workforce. The potential for AI to both disrupt and enhance job markets calls for a concerted effort from businesses and policymakers alike. By fostering a culture of continuous learning and investment in workforce development, organizations can create pathways for women to thrive in emerging roles.
6 months ago
Built In
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9
reskilling AI automation
2025-06-17 14:02:53
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Mastercard exec wants companies to reskill workers before AI comes for their jobs
https://fortune.com/2024/12/11/mastercard-exec-wants-companies-to-reskill-workers-before-ai-comes-for-their-jobs/
Business leaders expect automation and artificial intelligence to transform, if not totally take over, their workforce in the coming...
Mastercard exec wants companies to reskill workers before AI comes for their jobs BY Jenn Brice December 11, 2024 at 4:05 PM EST Business leaders expect automation and artificial intelligence to transform, if not totally take over, their workforce in the coming years—and Mastercard is training workers who are caught in the crosshairs of the AI revolution. The credit card company’s executive vice president of business and insights, Mohamed Abdelsadek, said that Mastercard already offers three types of AI training to its workforce: a broad foundational training, tailored job-specific offerings, and a reskilling program. In a wide-ranging discussion about building trust in the age of AI during Fortune’s Brainstorm AI conference this week, Abdelsadek stressed the importance of investing in re-skilling for internal talent whose work could otherwise become obsolete. Organizations could risk losing a great colleague with years of institutional knowledge—or they could just prepare that person to move around within the company. “It’s a lot more cost effective to reskill than to find somebody new,” he said. In the near term, the bosses are banking on the idea that humans who use AI will be better employees than humans who don’t. Jack Azagury, chief of consulting at Accenture, added that educating a workforce on how to use AI requires explaining how it works. He suggested companies consider trainings “not just on how to use AI, but on the underlying architecture of the technology.” (Disclosure: Accenture is a sponsor of Brainstorm AI) That’s especially key so workers know what data a particular model they’re using is trained on in order to better tailor their prompts to the system, he said. “People that are well trained on what data is in the model will perform a lot better,” he said. For companies wondering who in their workforce will be affected, ServiceNow Chief Customer Officer Chris Bedi said to consider the role of an analyst: scanning large sets of data to identify trends. “The things we value in an analyst are all things AI is great at,” Bedi said. As a result, he sees the role of a human analyst will become about asking the right question of an AI system. Suresh Venkatarayalu, CTO and President of the Connected Enterprise business at Honeywell, already sees AI switching from assisted to autonomous in the aerospace industry. But making sure workers trust the technology remains crucial: that’s why it uses a three-step process to take AI applications from AI-assisted to AI-led to autonomous. “So for us, the trustworthiness is, are you going to be linking this to a mission critical, safety critical system that I can assure?” he said.
6 months ago
Fortune
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10
reskilling AI automation
2025-06-17 14:02:53
null
The AI disruption: Why mid-career professionals must reskill or risk obsolescence
https://www.peoplematters.in/article/skilling/the-ai-disruption-why-mid-career-professionals-must-reskill-or-risk-obsolescence-44901
As AI reshapes the job market mid-career professionals in India face a critical choice reskill or risk obsolescence With automation accelerating lifelong...
The AI disruption: why mid-career professionals must reskill or risk obsolescence
2 months ago
People Matters - HR News
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11
reskilling AI automation
2025-06-17 14:02:53
null
Harnessing AI and reskilling for growth: Workforce considerations for AI integration
https://www.marsh.com/en/insights/events/airmic/ai-growth-workforce-considerations-ai-integration.html
It is crucial organisations prepare their workforces for artificial intelligence (AI) adoption, according to Maura Jarvis, Workforce Transformation Leader,...
It is crucial organisations prepare their workforces for artificial intelligence (AI) adoption, according to Maura Jarvis, Workforce Transformation Leader, Mercer UK. Marsh McLennan hosted ‘Harnessing the power of AI: Reskilling for growth’, at the AIRMIC Conference 2024, in Edinburgh. Jarvis and James Crask, Head of Strategic Risk Consulting, Marsh Advisory UK, led an engaging session that looked at how organisations can confidently prepare employees for AI use. AI is a topic firmly at the top of the executive agenda, with AI integration forecasted to add US$20 trillion to global GDP by 2030. Business leaders expect AI to boost performance, help develop talent, allow further collaboration, and be a driver of future growth. However, currently, only 14% of HR leaders think businesses are ready for this transition. Integration of AI into the workforce is still in its infancy for most companies. To successfully deliver business results, businesses must have the “agility and ability” to keep pace with the changing work environment, Jarvis said. As the workforce and nature of work transforms through the impact of AI, organisations will need to devise practical strategies for issues they may encounter. AI opportunities AI can enhance workplaces to meet productivity needs and financial growth. As organisations pivot and integrate AI into their business processes, leaders are finding “opportunities for humans to do more that can add value,” Crask stated. Currently, companies are using AI to improve productivity via various methods, including: Analysing large amounts of data. Improving decision-making accuracy. Innovating and developing new products. All organisations have finite resources, such as people, time, and commodities. To provide competitive advantages, harnessing AI is important “for a lot of organisations to produce growth opportunities,” said Crask. Hand's work Work we target for automation AI can decrease the manual workload of employee for laborious and time intensive tasks, such as analysis, research, document drafting, and compliance. Head's work Work we try to simplify AI can support decision making on settlement options, client relationship management, and further business and growth strategies. Heart's work What we can do more AI can help simplify and automate tasks, allowing for more time to connect with customers, clients, and colleagues. Leveraging AI to automate repetitive tasks allows organisations to free employees from more laborious and time intensive tasks and instead focus on improving productivity, boosting performance, and driving growth. Workplace disruption risks However, the introduction of AI into businesses is not without risk. AI has the potential to severely disrupt workplaces across all industries. To combat this, organisations must “get the right skills in the right places to successfully pivot and adjust,” Jarvis said. Business will also have to reskill and upskill employees, as covered in the 2024 Global Risks Report. While offering the opportunity for businesses to improve their efficiencies and productivity, AI adoption also changes their risk profile. Concerns raised by the audience during the session included associated costs, cyber threats, misinformation, fraud, and job losses. AI integration As organisations begin integrating AI into their business models, it is important leaders recognise the “tools available to help rapidly gain insights into unstructured data,” said Crask. While AI adoption enables businesses to find extra resources to add value to other areas, the impact on employees must be addressed to ensure that the technology is designed to enhance their work experience. Organisations developing mature AI systems, can take the following steps to ingrain AI into business processes: Developing a data-driven, AI-first culture Ensuring there is robust governance in place to oversee the adoption of AI tools Collaborating with AI vendors and new technologies Investing in advanced AI capabilities Optimising AI models and algorithms to suit business processes Risk management and keeping pace with change The speed of change in the AI landscape can be overwhelming. Engaging with employees and involving them in the AI journey can help businesses adapt to the changing landscape. Any transformative technology comes with its own set of risks, and organisations should have a clear vision of how AI-enabled technology can solve business problems and improve productivity. Change management and strong governance is crucial to ensuring employees understand the benefits of AI adoption and addressing concerns surrounding job losses, data security, and potential biases in AI algorithms. Additionally, the ethical implications of AI need to be considered and business leaders must ensure transparency and accountability in its use. By implementing a digital-first and risk resilient culture, organisations can unlock new opportunities, improve productivity, and remain competitive in an ever-changing environment.
10 months ago
Marsh
data:image/jpeg;base64,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
12
reskilling AI automation
2025-06-17 14:02:53
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AI-driven reskilling is a must'
https://tribune.com.pk/story/2531756/ai-driven-reskilling-is-a-must
Reskilling can help technology professionals achieve success in the coming years, as Artificial Intelligence (AI) is poised to reshape the...
AI-driven reskilling is a must' Gohar Ali Khan March 02, 2025 KARACHI: Reskilling can help technology professionals achieve success in the coming years, as Artificial Intelligence (AI) is poised to reshape the software development industry by creating new business opportunities and reducing development timelines, according to AI experts and coaches who spoke to The Express Tribune. DHA Suffa University Karachi's Dean of the Faculty of Computing and Information Technology, Prof Dr Zafar Nasir, stated, "AI's monumental growth has brought about a significant change in the overall landscape of software development and has profoundly impacted the software industry." According to 'Grand View Research', the global AI market is projected to grow 37.3% from 2023 to 2030. AI in software development is expected to attract substantial investment in the near future, as it serves as a catalyst for staffing needs, enables the creation of highly personalised products, and helps businesses expand their customer base. A recent survey found that 58% of NYSE-listed companies identified AI investment as a key driver for developing new revenue streams. As AI technologies continue to evolve, their business applications will become more apparent. Based on customer surveys, more than 70% of NYSE-listed companies have shown interest in investing in AI for customer service. This shift is also diminishing the traditional experience premium, as AI is narrowing the gap between industry experts and novices. Calling for a paradigm shift in workforce reskilling, Dr Zafar Nasir highlighted that nearly 25% of jobs will undergo rapid transformations. The 14% productivity boost observed in customer service agents using Generative AI reflects the evolving workplace dynamics. As AI redefines job roles, organisations must adopt agile redeployment strategies to retain skilled talent while transitioning from traditional practices to more specialised, skill-based functions. According to the Mercer Survey, 60% of employees prefer working for skill-based organisations. This trend bodes well for businesses looking to automate their processes with AI-driven applications. Nasir further explained that AI is reshaping the software industry by automating multiple aspects of the development cycle, including code generation, testing, deployment, and security. This transformation allows engineers to focus on high-level problem-solving, such as architectural planning, system integration, decision-making, and other creative challenges that drive innovation and efficiency. AI-powered training systems can also provide personalised learning paths, ensuring professionals remain updated. Additionally, AI fosters agile and cost-effective strategies that align with market dynamics, such as evolving consumer demands and manufacturing processes. AI-powered design software can generate multiple optimised designs for a single product. "AI has the potential to alter the overall dynamics of software development and maximise throughput. This is particularly true in the context of AI coding tools, which provide a strategic advantage in task completion and productivity enhancement," he said. Renowned SEO expert and IT coach Mehboob Shar, Founder and CEO of Icreativez Technologies, said, "AI is significantly accelerating software development processes. While a 12-fold increase in efficiency may seem ambitious, AI enables tasks that previously took hundreds of hours of programmer time to be completed in minutes, simply by generating the right prompts," Shar stated. At Icreativez Technologies, AI has enabled developers and software engineers to complete tasks within a single day that previously required weeks. As a result, teams that once managed only one project at a time can now handle multiple projects concurrently. Tech strategist and National Incubation Centre (NIC) Karachi Project Director Syed Azfar Husain said, AI is reshaping software development by making coding, testing, and deployment faster and more efficient. Tools like GitHub Copilot assist developers in writing code faster. AI has also contributed to major business successes—Netflix uses AI to optimise cloud costs, while startups like UiPath have grown into billion-dollar enterprises by automating business processes. Beyond the corporate world, AI presents exciting opportunities for universities to introduce AI-driven courses and research programmes. By integrating AI into their operations, businesses can enhance productivity, reduce costs, and drive innovation, ensuring long-term growth in an increasingly technology-driven landscape. Pakistan's software developers can leverage AI by incorporating machine learning and automation into their solutions, making products smarter and more competitive on a global scale. As Pakistan moves towards formulating its first-ever AI Policy in 2025, developers can align with government initiatives for funding, policy support, and regulatory clarity. AI frameworks such as TensorFlow and PyTorch facilitate advanced applications, while low-code and no-code AI tools accelerate development cycles. Startups can build AI solutions for agriculture, healthcare, and fintech, addressing local challenges. Collaborating with universities and AI research hubs can also foster innovation.
3 months ago
The Express Tribune
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13
reskilling AI automation
2025-06-17 14:02:53
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Is reskilling the solution to AI-induced job losses?
https://www.expresscomputer.in/exclusives/is-reskilling-the-solution-to-ai-induced-job-losses/117647/
A study by ServiceNow and Pearson shows that AI and automation will require 16.2 million workers in India to reskill and upskill while also creating 4.7...
Is reskilling the solution to AI-induced job losses? By Sayantan Mondal On Oct 21, 2024 Technology is changing the way we work, we live, we interact and at the heart of this transformation lies Artificial Intelligence. AI has added wings to the workforce which has accelerated output and streamlined operations, making tasks faster and more accurate. The conversation around AI, automation, and GenAI often highlights concerns about job displacement, but it’s essential to view this shift through a broader lens. Job losses have long been a byproduct of technological evolution. The Industrial Revolution led to the displacement of many workers from agriculture, but it also created new jobs in manufacturing and transportation. Similarly, the rise of computers and the internet led to the decline of certain professions, but it also gave birth to entirely new industries and job roles. Bank tellers were replaced by ATMs, switchboard operators by automated systems, and lift operators by automated elevators. Today, we are witnessing a similar shift as well where AI is taking over significant portions of jobs in manufacturing, customer service, and data entry and processing, among others. AI, with its ability to automate repetitive tasks, is reshaping industries and forcing entire sectors to adapt. “With the advent of AI, over half of the skills that people use on a daily basis at work will need to be revised. Hence, the employees who are skilled in AI might pose a threat to those who are not,” says Sandeep Agarwal, MD & Global CTO of Visionet. However, historically, while technological advancements may initially displace jobs, they also create new roles that often require different skills. This trend emphasises the critical need for workers to reskill and upskill to remain relevant in an evolving job landscape. Industries are already witnessing the emergence of new positions centred around AI management, data analysis, and technology integration, which demand a different set of competencies. “While certain tasks and roles may be automated, this technology transformation creates new avenues for innovation and employment,” says Kapil Mahajan, Global CIO, Allcargo Logistics. He further adds that the key lies in adaptability. Many jobs that will be automated are repetitive or transactional in nature, but there will be an increasing demand for roles in AI development, deployment, and oversight. A study by ServiceNow and Pearson shows that AI and automation will require 16.2 million workers in India to reskill and upskill while also creating 4.7 million new tech jobs. The study used machine learning to predict how technology would transform the tasks that make up each job and presents an unprecedented chance for Indian workers to reshape and future-proof their careers. “Reskilling and upskilling will play a pivotal role in this transition. The future workforce needs to focus on analytical, creative, and collaborative skills, the areas where human intelligence excels. For those concerned about job security, the best approach is to stay ahead by embracing continuous learning and evolving with the technology. Change is inevitable, but it also offers growth and innovation for those prepared to meet it,” Mahajan adds. To thrive in the evolving workforce shaped by AI, it is essential to not just adapt but actively prepare by developing relevant skills. A significant shift in organisational roles is already on the horizon. A research titled Defining the Enterprise of the Future by Alteryx reveals that 58% of business leaders foresee the emergence of the Chief AI Officer (CAIO) as a critical role, tasked with overseeing a comprehensive AI strategy across departments like IT, compliance, HR, and beyond. However, the role is still in its infancy, with just over 400 individuals globally holding this title on LinkedIn. Moreover, companies are urgently seeking specialised talent. Top hiring priorities include AI applications engineers (47%), who design and develop AI-powered models, AI/ML engineers (36%), focused on building and maintaining self-learning systems, and AI research scientists (35%), whose innovations drive the future of AI systems. These roles highlight how the AI revolution is not only about automation but also about creating new job opportunities that require advanced expertise. “Skills will continue to be a significant challenge across organisations. I also face this challenge of retaining skills; it’s not just about bringing in new skills. It’s equally about keeping the existing ones,” says Amit Luthra, MD-ISG, Lenovo India. “Now, this is a challenge because you want to move into areas that are outside your comfort zone. You’re trying to accomplish tasks that have never been done before, which involves a learning process,” he adds. According to a World Economic Forum (WEF) report, by 2025, half of all employees would need to reskill due to the growing impact of automation and AI. However, the same report offers a positive outlook, projecting that AI will also generate 97 million new jobs in fields such as data analytics, AI development, and digital marketing. While some roles may be fading into the background, a new wave of AI-related positions is rapidly emerging. Professionals specialising in developing, managing, and optimising AI systems are in high demand. Roles like AI applications engineers, AI/ML engineers, and AI research scientists have seen a staggering 74% annual growth over the past four years, according to LinkedIn, making it one of the fastest-growing job categories. Ramesh Mallya, CTO, DBS Bank India says, “We are investing in upskilling our employees in critical areas like cloud computing, AI and machine learning… By equipping our people with the latest skills, we ensure that we continue to deliver solutions that meet the evolving needs of our customers.” “AI empowers organisations to enable their workforce to focus on more strategic and impactful tasks, while the technology handles the mundane,” shares Sachin Dutta, COO, Canara HSBC Life Insurance. “We firmly believe that there is a need to bolster human-AI collaboration as well,” he adds. Successfully navigating this shift will require a commitment to continuous learning. Workers will need to develop a mix of technical and soft skills. While technical abilities like programming, data analysis, and knowledge of AI models are becoming increasingly important, equally crucial are skills like critical thinking, creativity, and adaptability, the qualities that are much harder for machines to imitate.
7 months ago
Express Computer
data:image/jpeg;base64,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
14
reskilling AI automation
2025-06-17 14:02:53
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Reskilling in the Age of AI
https://hbr.org/2023/09/reskilling-in-the-age-of-ai
Back in 2019 the Organisation for Economic Co-operation and Development made a bold forecast. Within 15 to 20 years, it predicted, new automation...
Reskilling in the Age of AI Five new paradigms for leaders—and employees by Jorge Tamayo, Leila Doumi, Sagar Goel, Orsolya Kovács-Ondrejkovic and Raffaella Sadun From the Magazine (September–October 2023) In the coming decades, as the pace of technological change continues to increase, millions of workers may need to be not just upskilled but _re_ skilled—a profoundly complex societal challenge that will sometimes require workers to acquire new skills and change occupations. Back in 2019 the Organisation for Economic Co-operation and Development made a bold forecast. Within 15 to 20 years, it predicted, new automation technologies were likely to eliminate 14% of the world’s jobs and radically transform another 32%. Those were sobering numbers, involving more than 1 billion people globally—and they didn’t even factor in ChatGPT and the new wave of generative AI that has recently taken the market by storm. Today advances in technology are changing the demand for skills at an accelerated pace. New technologies can not only handle a growing number of repetitive and manual tasks but also perform increasingly sophisticated kinds of knowledge-based work—such as research, coding, and writing—that have long been considered safe from disruption. The average half-life of skills is now less than five years, and in some tech fields it’s as low as two and a half years. Not all knowledge workers will lose their jobs in the years ahead, of course, but as they carry out their daily tasks, many of them may well discover that AI and other new technologies have so significantly altered the nature of what they do that in effect they’re working in completely new fields. To cope with these disruptions, a number of organizations are already investing heavily in upskilling their workforces. One recent BCG study suggests that such investments represent as much as 1.5% of those organizations’ total budgets. But upskilling alone won’t be enough. If the OECD estimates are correct, in the coming decades millions of workers may need to be entirely reskilled—a fundamental and profoundly complex societal challenge that will require workers not only to acquire new skills but to use them to change occupations. Companies have a critical role to play in addressing this challenge, and it’s in their best interests to get going on it in a serious way right now. Among those that have embraced the reskilling challenge, only a handful have done so effectively, and even _their_ efforts have often been subscale and of limited impact, which leads to a question: Now that the need for a reskilling revolution is apparent, what must companies do to make it happen? In our work at the Digital Data Design Institute at Harvard’s Digital Reskilling Lab and the BCG Henderson Institute we have been studying this question in depth, and as part of that effort we interviewed leaders at almost 40 organizations around the world that are investing in large-scale reskilling programs. During those interviews we discussed common challenges, heard stories of early success, and discovered that many of those companies are thinking in important new ways about why, when, and how to reskill. In synthesizing what we’ve learned, we’ve become aware of five paradigm shifts that are emerging in reskilling—shifts that companies will need to understand and embrace if they hope to succeed in adapting dynamically to the rapidly evolving era of automation and AI. In this article we’ll explore those shifts. We’ll show how some companies are implementing them, and we’ll review the unexpected challenges they’ve encountered and the promising wins they’ve achieved. 1. Reskilling Is a Strategic Imperative During times of disruption, when many jobs are threatened, companies have often turned to reskilling to soften the blow of layoffs, assuage feelings of guilt about social responsibility, and create a positive PR narrative. But most of the companies we spoke with have moved beyond that narrow approach and now recognize reskilling as a strategic imperative. That shift reflects profound changes in the labor market, which is increasingly constrained by the aging of the working population, the emergence of new occupations, and an increasing need for employees to develop skills that are company-specific. Against this backdrop effective reskilling initiatives are critical, because they allow companies to build competitive advantage quickly by developing talent that is not readily available in the market and filling skills gaps that are instrumental to achieving their strategic objectives—before and better than their competitors do. In recent years several major companies have embraced this approach. Infosys, for example, has reskilled more than 2,000 cybersecurity experts with various adjacent competencies and capability levels. Vodafone aims to draw from internal talent to fill 40% of its software developer needs. And Amazon, through its Machine Learning University, has enabled thousands of employees who initially had little experience in machine learning to become experts in the field. The average half-life of skills is now less than five years, and in some tech fields it’s as low as two and a half years. For millions of workers, upskilling alone won’t be enough. Some companies now consider reskilling a core part of their employee value proposition and a strategic means of balancing workforce supply and demand. At those companies employees are encouraged to reskill for roles that appeal to them. Mahindra & Mahindra, Wipro, and Ericsson have policies, tools, and IT platforms that promote reskilling resources and available jobs—as does McDonald’s, where restaurant employees have access to an app called Archways to Opportunity that maps skills learned on the job to career paths within the company and in other industries. Finally, some companies are using reskilling to tap into broader talent pools and attract candidates who wouldn’t otherwise be considered for open positions. ICICI Bank—headquartered in Mumbai and employing more than 130,000 people—runs an intense, academy-like reskilling program that prepares graduates, often from diverse backgrounds, for frontline managerial jobs. The program reskills some 2,500 to 4,000 employees each year. CVS used a similar approach during the Covid-19 pandemic to hire, train, and onboard people (some of them laid-off hospitality workers) to create capacity for its critical vaccine and testing services. 2. Reskilling Is the Responsibility of Every Leader and Manager Traditionally, reskilling is considered part of the overall corporate-learning function. When that’s the case, responsibility for the design and implementation of the program is often siloed within HR, and its failure or success is measured very narrowly—in terms of the number of trainings delivered, the cost per learner, and similar training-specific metrics. According to a recent BCG report, only 24% of polled companies make a clear connection between corporate strategy and reskilling efforts. Reskilling investments need a profound commitment from HR leaders, of course, but unless the rest of the organization understands the strategic relevance of those investments, it’s very hard to obtain the relentless and distributed effort that such initiatives require to succeed. At most of the organizations where we interviewed, reskilling initiatives are visibly championed by senior leaders, often CEOs and chief operating officers. They work hard to articulate for the rest of the company the connection between reskilling and strategy and to ensure that leadership and management teams understand their shared responsibility for implementing these programs. For example, as part of its ongoing digital transformation, Ericsson has developed a multiyear strategy devoted to upskilling and reskilling. The effort involves systematically defining critical skills connected to strategy, which correspond to a variety of accelerator programs, skill journeys, and skill-shifting targets—most of them dedicated to transforming telecommunications experts into AI and data-science experts. The company considers this a high-priority, high-investment project and has made it part of the objectives and key results that executives review quarterly. In just three years Ericsson has upskilled more than 15,000 employees in AI and automation. The executive team at CVS has made training and reskilling an integral part of the company’s business strategies. Each individual business leader is now responsible for designing and delivering workforce-reskilling plans to help the company reach its goals, and the ability to do so is factored in to performance assessments. Amazon, too, has famously committed to reskilling as a core strategic objective and now mentions it prominently in its leadership manifesto for managers. The visibility of this commitment contributes to Amazon’s ability to achieve scale in reskilling programs. 3. Reskilling Is a Change-Management Initiative To design and implement ambitious reskilling programs, companies must do a lot more than just train employees: They must create an organizational context conducive to success. To do that they need to ensure the right mindset and behaviors among employees and managers alike. From this perspective, reskilling is akin to a change-management initiative, because it requires a focus on many different tasks simultaneously. Understanding supply and demand is critical. To create a successful reskilling program, companies need a sophisticated understanding of supply (skills available internally and externally) and demand (skills needed to beat the competition). A useful way to develop this understanding is with a “skill taxonomy”—a detailed description of the capabilities needed for each occupation at a company. Leaders must also determine what skills they will need in the future—a dynamic process that’s critical for strategic reskilling programs. To do that well, they should focus on figuring out what skills the current strategy demands. Here they’ll need to develop a rigorous strategic workforce-planning methodology. The best approach for reskilling is to do as much training as possible by means of shadowing assignments, internal apprenticeships, and trial periods. The reskilling program at ICICI Bank, for example, consists of a four-month vocational residency, during which employees take part in simulation-style trainings for the managerial role they hope to get, and an eight-month deployment in the field that involves a structured internship in a bank branch and closely shadowing a current manager. Employees need to be matched with new jobs. Our interview data shows that if destination roles are clearly described in advance, employees become more interested in reskilling because new career trajectories become apparent to them, and the reskilling itself becomes more effective because it’s more position-specific. Once in their new jobs, reskilled employees need ongoing support to ensure that they can perform effectively and continue to develop their skills over time.
22 months ago
Harvard Business Review
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15
reskilling AI automation
2025-06-17 14:02:53
null
The Future Of Learning: Reskilling And Rethinking In The AI Age
https://www.forbes.com/sites/timothypapandreou/2024/03/11/the-future-of-learning-reskilling-and-rethinking-in-the-ai-age/
The exponential rise of Artificial Intelligence (AI) presents a paradigm shift for the business world, demanding a complete reimagining of...
AI will usher in a new series of Re-skilling and Up-skilling Employees.gettyThe exponential rise of Artificial Intelligence (AI) presents a paradigm shift for the business world, demanding a complete reimagining of both education and the future of work. AI is rapidly automating repetitive tasks across industries, impacting both blue-collar and white-collar jobs. While this may seem alarming, it also ushers in a wave of new opportunities. The key lies in recognizing this disruption as an impetus for reskilling the workforce and adapting educational systems to meet the demands of the AI age.Shared Responsibility: A Multifaceted ApproachThe onus of reskilling cannot fall solely on one entity. It necessitates a collaborative effort from: Companies: Businesses must invest in upskilling and reskilling programs to optimize their existing talent pool. This can involve internal training, partnerships with educational institutions, and online learning platforms. Individual Workers: Embracing lifelong learning and continuous adaptation are crucial for individual employability. Workers can take initiative through online courses, workshops, and self-directed learning habits. Society as a Whole: Governments can play a vital role by funding reskilling initiatives, promoting lifelong learning programs, and facilitating public-private partnerships to bridge the skills gap. AI will create new learning and job training opportunities. (Photo Illustration by Ute ... More Grabowsky/Getty Images)Photothek via Getty ImagesRethinking Education: Beyond Job TrainingThe traditional education system, while valuable, needs to evolve to equip graduates for the AI age. Here's where the focus needs to shift:MORE FROM FORBES ADVISORBest High-Yield Savings Accounts Of 2024By Kevin Payne, ContributorBest 5% Interest Savings Accounts of 2024By Cassidy Horton, Contributor "How to Learn" vs. What to Learn: Equipping students with the ability to learn independently, critically analyze information, and adapt to new technologies is paramount. This fosters critical thinking, problem-solving, and creativity – skills that will outlast rote memorization. Life Skills Integration: Education should encompass crucial life skills like financial literacy, entrepreneurship, relationship management, and personal well-being. These empower individuals to navigate an increasingly complex world, irrespective of their chosen profession. A Holistic Approach: Addressing the Bigger PictureThe conversation goes beyond reskilling and curriculum reform: Demographic Shifts: Reskilling programs need to cater to the diverse needs of an aging workforce and bridge the gap for marginalized communities. Cost of Education: Addressing the rising cost of education through scholarships, grants, and alternative financing models is crucial for equitable access to lifelong learning. Learning Beyond the Classroom: Exploring alternative learning methods like online platforms and blended learning models can increase accessibility and cater to diverse learning styles. Learning Through Play and Collaboration: Elements of play and gamification can enhance engagement, while collaborative learning environments foster teamwork and communication skills – crucial for tackling global challenges. 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); Technicians up-skilling in the era of automation and AI gettyThe "Why" and the "How" of LearningThe very purpose of education needs to be re-evaluated: Beyond Job Training: While preparing individuals for the workforce is essential, education should also equip them with the knowledge and critical thinking skills to address global challenges like climate change, poverty, and inequality. Cultivating a Love for Learning: Fostering curiosity, critical thinking, and a desire for lifelong learning is key to empowering individuals to become active participants in shaping a better future. Ai requires a diversity of inputs and perspectives to ensure equity.gettyEthical ConsiderationsThe discussion surrounding AI and education cannot ignore ethical considerations like data privacy, bias in algorithms, and the potential for job displacement. Thoughtful solutions are needed to address these crucial moral questions.Conclusion: The Learning RenaissanceThe future of learning in the AI age demands a collaborative effort to bridge the reskilling gap, ensure equitable access to education, and adapt educational models for a rapidly evolving world. This is not just about acquiring technical expertise, but fostering a culture of lifelong learning, collaboration, and a shared vision for a better future. By embracing this learning renaissance, we can empower individuals and businesses to thrive in the AI age.
15 months ago
Forbes
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16
reskilling AI automation
2025-06-17 14:02:53
null
AI is already displacing jobs in some sectors. What can workers do to prepare?
https://www.channelnewsasia.com/today/big-read/generative-ai-disrupt-jobs-prepare-5027576
As generative AI transforms industries, workers are facing growing uncertainty with widespread job disruptions, uneven reskilling efforts...
AI is already displacing jobs in some sectors. What can workers do to prepare? As generative AI transforms industries, workers are facing growing uncertainty with widespread job disruptions, uneven reskilling efforts and the urgent need to adapt in a rapidly evolving labour market. For many people, artificial intelligence has already become a part of life, helping out with repetitive, menial tasks or quick research and generating everything from job application letters to funny memes. It has also made a big positive impact in several industries including healthcare, finance and technology, making it possible for people in these fields to innovate quickly and improve their services and offerings. Yet, as the technology advances, its hidden costs are coming into sharper focus as well. In a two-part series, CNA TODAY examines some of these covert influences and how individuals, companies and governments may mitigate the adverse impact. First up, a look at how AI is displacing job functions across various industries and what workers can do to adapt. By Taufiq Zalizan 28 Mar 2025 09:30PM (Updated: 29 Mar 2025 01:31PM) For over 15 years, freelance consultant Jacky Tan enjoyed helping mainly small- and medium-sized enterprises raise their profiles through marketing campaigns. However, his business, like most others, was hit when the COVID-19 pandemic took a toll on the economy. When consumers were not spending and goods were not moving, marketing became the last priority for most firms. And even after the pandemic ended, his business never recovered because a new disruption hit: Generative artificial intelligence (AI). “It was almost overnight,” the 43-year-old said, referring to the AI that can generate new content such as text, images, videos and music. The most common example is the chatbot ChatGPT, which is powered by this technology. As prospective clients became convinced that they could produce their own copywriting and content marketing using generative AI, they either turned down Mr Tan's pitches or used the AI tool as a bargaining chip to get more for less. “Some (prospective clients) will sort of ‘threaten’ us by saying that if we don’t take the lower offer, they will just use AI to do the marketing and writing work for them.” Mr Tan capitulated to their demands a couple of times, but always ended up terminating the projects because the meagre sums they were paying did not justify the work he was doing. After about seven months without work, he decided to call it quits. In late 2023, he decided to start a full-time home-based food business, building on the passion for cooking he had developed during the pandemic. He has not looked back since. “Initially, I didn’t think of doing a food business at all – until one day, I accepted that AI had taken over my job.” He is now the boss of CheekyDon, which sells Japanese rice bowls. Mr Tan is far from being a rare casualty in a job market that has lately been shaken up and reshaped by generative AI. For instance, technology companies such as ByteDance and Meta, which own social media platforms TikTok and Facebook respectively, have both announced plans to lay off workers, either to replace their roles with generative AI or to redirect resources so that they can double down on AI-related investments. Media reports indicated that the layoffs at both companies reached their Singapore offices in February. Former freelance consultant Jacky Tan now runs a home-based food business. More recently, Mr Piyush Gupta, then chief executive officer of Singapore’s DBS Group, said that the bank is projected to shrink its workforce and this will specifically affect the bank's contract and temporary workers, as artificial intelligence technology is expected to increasingly take on roles carried out by humans. The bank told CNA TODAY that this will come from natural attrition as AI "could reduce the need to renew" the temporary and contract roles once they are completed. At the same time, Mr Gupta – who stepped down on Friday (Mar 28) – said that he expected 1,000 jobs to be created due to AI. His comments echo statements that have been reiterated by many tech leaders driving the AI revolution: That while AI will disrupt certain roles, it will also produce new ones and this could even lead to a net gain in jobs overall. Still, this may come as cold comfort to workers who will lose their jobs to AI. Furthermore, the new jobs created in the wake of the AI revolution are unlikely to benefit all workers equally due to disparities in skills. Indeed, it is a disruption with such significant ramifications for the global workforce that it was among the talking points during the G7 Summit in Italy last June, where leaders recognised "the need to make sure (AI) enables increased productivity, empowers workers and creates inclusiveness and equal opportunities”, an article on the World Economy Forum (WEF) site stated. “Leaders agreed to launch an action plan on using AI in the world of work, and to step up coordination towards a shared understanding of risk management and advance international standards for AI development and deployment,” the article added. A WEF projection in its Future of Jobs report in January stated that 11 million jobs will be created due to AI and information processing technologies from 2025 to 2030. In the same period, though, nine million jobs are expected to be displaced. The report does not detail the jobs that will be displaced or created specifically with links to AI. However, it does indicate overall that job holders such as big data specialists, financial technology engineers, as well as AI and machine learning specialists are roles with the highest projected percentage growth during this period. At the same time, positions such as data entry workers, graphic designers and accountants count among the largest declining jobs. DBS is projected to shrink its workforce and this will specifically affect the bank's contract and temporary workers, as artificial intelligence technology is expected to increasingly take on roles carried out by humans. How is it that a technology touted to enhance workers' productivity will likely end up displacing millions of workers instead? Dr Kelvin Seah, a labour economist from the National University of Singapore (NUS), said that it all comes down to a mismatch between employees’ current skills and the skills that companies need for alternative roles within the business. “Some of those other (new) roles may require a very different set of skills that the existing personnel do not possess. Even with attempts at retraining, it could still be difficult for these staff members to fully acquire those skill sets,” he added. Hiring new workers already equipped with the desired new skills may also be faster than retraining existing employees, some analysts said. However, there may be limits to this strategy, particularly in a tight labour market such as Singapore, where companies are clamouring for workers within a scarce talent pool. On their part, workers should continuously upskill to mitigate the risk of getting replaced by AI, the analysts suggested. This can be achieved by updating technical skills that can make workers relevant in handling AI-related roles in the future, or by focusing on soft skills such as human relations and strategic thinking, which may not yet be replicable by technology. Workers will need to continually upskill to protect themselves from the threat of becoming redundant, due to the advance of artificial intelligence technology, a labour economist said.
2 months ago
CNA
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17
reskilling AI automation
2025-06-17 14:02:53
null
Why upskilling and reskilling are non-negotiable in an AI-driven economy
https://www.peoplematters.in/article/skilling/why-upskilling-and-reskilling-are-non-negotiable-in-an-ai-driven-economy-43826
In an AI-driven economy upskilling and reskilling are not optional they are the foundation for future growth competitiveness and innovation.
Why upskilling and reskilling are non-negotiable in an AI-driven economy
5 months ago
People Matters - HR News
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18
reskilling AI automation
2025-06-17 14:02:53
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The Reskilling Imperative: Tips For Upskilling Your People To Harness The Power Of AI
https://www.forbes.com/councils/forbesbusinesscouncil/2023/12/12/the-reskilling-imperative-tips-for-upskilling-your-people-to-harness-the-power-of-ai/
To stay competitive, companies must empower their workforce to continuously learn new skills and adapt to emerging technologies.
Michael E. Hansen is the CEO of Cengage Group, a global edtech company that enables student choice. gettyWe are living in a time of unprecedented technological change. Artificial intelligence (AI) and automation are transforming how businesses operate and individuals work every day. To stay competitive, companies must empower their workforce to continuously learn new skills and adapt to emerging technologies. According to an analysis by Boston Consulting Group, however, "Only 24% of corporate reports put skill-building efforts in the context of corporate strategy."In the age of AI, when the expectation is that successful companies implement and adapt to new tech rapidly, the bar for tech readiness is constantly moving. Consider this: The half-life of any learned work skill is said to be approximately five years; some tech skills might become obsolete even faster. The World Economic Forum forecasts that as much as half of the global workforce will need some level of reskilling by 2025 due to the adoption of advanced technologies.The Changing Ways We WorkThe good news is that technologies like AI and machine learning are automating routine tasks. While this might remove drudgery from many jobs, it also changes job requirements in fundamental ways. Workers at every level are finding they need to learn new technical skills to leverage these tools.My company's 2023 Employability Report found that about half (52%) of the recent grads polled are questioning how prepared they are to enter the workforce because of AI, and a third are second-guessing their career choices due to generative AI. Employers agree, with 79% saying workers need more training to work alongside it more effectively.Why does it matter if companies are not adequately reskilling their employees for the AI-enabled workplace? It is more effective for an organization to invest in its existing workforce through reskilling and other training opportunities than to seek outside talent, which often does not exist at the amount currently being demanded, to fill those roles.This type of internal investment enables businesses to build a competitive advantage quickly, addresses skills gaps that are key to achieving their specific objectives (without needing to rely on a narrow applicant pool), and supports employees through professional development. Additionally, many companies now consider reskilling a core part of their employee benefits. Bank of America (paywall), for example, has a longstanding training program that has upskilled employees at all levels with digital skills such as coding and data analytics. Providing internal training for your existing workforce can not only prove more productive for business success but also improve employee morale and loyalty.Successful Reskilling Is Everyone’s ResponsibilityTraditionally, reskilling was an overall corporate function that often fell through the cracks in the hierarchy of HR tasks. While it is important for HR professionals to be committed to reskilling, that commitment is moot unless leadership is bought into the strategic benefit of this training in the age of disruptive technology. Without this support, the effort needed to implement a sound and impactful program is unattainable. This becomes even more significant when considering the World Economic Forum's reskilling forecast. 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); C-suite members must collectively commit to promoting the connection between reskilling and strategic success. Additionally, ensure every level of management understands their shared responsibility for implementing these programs. In doing so, a company can effectively grow its workforce’s capabilities in a timely manner.This commitment can be carried out in both formal training and informal programs. For example, companies can establish a cross-generational “buddy” program that pairs seasoned managers with a digital native colleague to learn through their interactions with technology like gaming.To adapt to the rapidly accelerating pace of technological change, companies need to prioritize rallying their leadership team on the best ways to scale the successful features of existing reskilling programs and maintain rigor as they roll out new training initiatives. Only once a companywide commitment to reskilling is executed will businesses see a systematic commitment to understanding and growing with the changing demands of tech—starting today with AI.Forbes Business Council is the foremost growth and networking organization for business owners and leaders. Do I qualify?
18 months ago
Forbes
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19
reskilling AI automation
2025-06-17 14:02:53
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40% of Workforce Will Need to Reskill in Response to AI
https://www.hrotoday.com/news/40-of-workforce-will-need-to-reskill-in-response-to-ai/
All SharedXpertise Media logos and marks as well as all other proprietary materials depicted herein are the property of SharedXpertise Media...
40% of Workforce Will Need to Reskill in Response to AI 12th October 2023 By Jill Goldstein Generative AI is already fueling massive workforce changes, driving a host of talent-related issues for business leaders, and raising questions about the scale of its impact on the future of work. HR leaders play a critical role in navigating these organizational changes by rethinking workforce planning, design, and strategy for the era of AI. As more business leaders embrace the technology, a new IBM survey shows that building new skills for existing employees is the most pressing talent issue for C-Suite leaders. The survey also found that executives estimate that 40% of their workforce will need to reskill as a result of implementing AI and automation over the next three years. For many organizations, employees at all levels will feel the impact of generative AI. But it’s lower-level employees that will likely be most affected in the short term. Seventy percent of executives surveyed say entry-level positions are already seeing the effects of generative AI, compared to only 22% who say the same for executive or senior management roles. AI’s impact on work will only intensify. Now is the time to get ahead of the growing disruption. Organizations have a responsibility to prepare their employees for this changing landscape, so their workforce is resilient and ready. HR leaders are uniquely positioned to shepherd their organizations into the future. HR leaders should consider several actions to guide their strategies in this new era of AI. **Establish a new operating model, reimagining the work itself.** A significant advantage of generative AI is the ability to automate repetitive and manual tasks, unlocking more opportunities for employees to focus on higher level work. In fact, 87% of executives expect job roles to be augmented rather than replaced by AI. Yet, building the business of tomorrow cannot run with yesterday’s talent, and tomorrow’s talent cannot be plugged into yesterday’s operating model. The key to success is structuring work strategically. Rethink and re-engineer work by identifying and eliminating lower value tasks that can be handled by AI, merging roles to create new ones, expanding roles to include tasks like applying or managing AI tools, and creating targeted skill development for higher-level tasks driven by people. IBM data shows that those organizations that evolve their operating model and put new technologies at the core are already outperforming their peers on revenue growth. **Invest in both talent and technology with skills at the forefront.** To prepare their employees for new applications of AI, leaders need to put skills at the center of a workforce strategy. This starts with a focus on increasing the general technical acumen of the entire workforce. While this does not mean every employee needs to be a technical AI expert, every employee should be familiar with AI applications. Roles and skills will change, and every employee should have a basic understanding of AI so they can embrace the change and apply technology to enhance their capabilities. This is an opportunity for reskilling and upskilling in both technology and key behavioral skills, equipping employees with the relevant skills to work with AI creatively and responsibly. In addition to providing resources like apprenticeship programs and on-demand learning tools, empower employees to lead their own learning journey to gain the skills that are important to them. **Cultivate a culture of engagement and transparency.** AI has the power to transform the employee experience, helping employees improve productivity and speed adoption of new ways of working. But success is dependent on employees seeing AI technology as being valuable to their jobs. It’s imperative for leaders to share their vision with employees and be transparent about how AI will be applied. Yet, IBM’s survey shows that employees and employers are not aligned when it comes to the most important attributes at work. Employees are prioritizing impactful work over all other job attributes beyond compensation and security. Employers haven’t recognized this fact, ranking impactful work the least important factor to their employees. This disconnect will only increase tension as more organizations rush to automate as many mundane and repetitive tasks as possible. It’s important to engage employees in the process of re-evaluating the tasks to be automated. They should be empowered to provide recommendations on how AI can make their jobs better and more fulfilling. When redesigning processes to incorporate AI, bring the employees who will use it into the design process, encouraging them to share their insights and feedback. AI plays a significant role in driving productivity, but this won’t happen with technology alone. Led by HR, organizations need to embrace a new approach to change management that includes cultivating new ways of working, shaping new job responsibilities, and driving a cultural shift in the organization. With AI’s profound impact on jobs, how an organization rolls out the technology will be key to achieving business value. Jill Goldstein is managing partner of talent transformation for IBM Consulting.
20 months ago
HRO Today
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20
reskilling AI automation
2025-06-17 14:02:53
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How Women Can Adapt To AI Through Upskilling And Reskilling
https://www.forbes.com/councils/forbesbusinesscouncil/2023/08/23/how-women-can-adapt-to-ai-through-upskilling-and-reskilling/
CEO of Creative Duality and Co-Founder & CEO of Fyli. Young Businesswoman working in an office. getty. We know that artificial intelligence...
CEO of Creative Duality and Co-Founder & CEO of Fyli. gettyWe know that artificial intelligence and automation have undoubtedly brought about significant changes in the job market, leading to both opportunities and challenges for the workforce. With industries going through some major makeovers, some jobs are taking a bow, while new ones are stepping into the spotlight and asking for a whole new set of skills.It’s been very interesting to learn about AI prompts, automation that can help save time in your business and even how AI can be used in graphics and design. After working in the design, marketing and luxury fashion spaces for more than a decade and spending many hours photo editing and designing campaigns, it’s been fascinating to see new technologies that can help streamline workflow and save money.With that being said, AI is expected to replace 300 million full-time jobs over the course of the next decade, according to data from Goldman Sachs. And women, in particular, are feeling the AI job shakeup. Research by Kenan Institute found that, compared to men, 21% more women are exposed to automation. In this evolving landscape, women, like all individuals, are facing the need to adapt to AI to combat potential job loss. I believe upskilling and reskilling have become crucial pathways for women to thrive in the modern workforce.It is also essential to recognize that there is a significant underrepresentation of women in STEM fields, which have become increasingly vital in the era of AI. This disparity can exacerbate the potential job loss for women in nontechnical roles, making it crucial for them to reskill and adapt to the evolving demands of the job market. Research by Microsoft found that “most girls become interested in STEM at the age of 11-and-a-half but this starts to wane by the age of 15.”Through my company’s global community of early-stage female founders, we have had several discussions on which tools can be adopted and which workshops, webinars and conferences are best to learn about the latest AI technologies and their applications. Having a community of support to share resources and findings in AI has been crucial. All in all, I see AI as a captivating blend of awe-inspiring potential and daunting uncertainty. While some jobs have become redundant due to automation, new opportunities have emerged, especially in areas related to development, data analysis and human-AI interaction.This experience has shown me that upskilling is no longer a one-time event but an ongoing process that needs to happen throughout one’s career. Women can take charge of their professional development to remain competitive by following these steps:Explore your options for learning.Online courses have helped make it easier for women, regardless of their geographical location or personal commitments, to upskill. My advice would be to start small by viewing some videos breaking down the basics of AI. Then, dive into free courses based upon your industry, join a local AI support or resource group and, finally, put your skills into use. 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); There are also organizations working to get more women and girls in STEM with the tools and resources they need, such as Girls Who Code, Black Girls Code, National Girls Collaborative Project and Girlstart. There are platforms and organizations that offer a wide range of courses as well, from basic AI concepts to advanced programming, enabling women to build skills at their own pace.Shift your mindset.It’s important for HR professionals and corporate leaders to shift their mindsets about AI. It doesn’t have to be one or the other, humans or artificial intelligence. Rather, I see AI as a way we can create added value and innovate in new ways. Speak to your employer about investing in your ongoing education for upskilling. Explain how it can add to your efficiency and overall productivity and free up your time for other projects.And if you are a founder or CEO, now is the time to get your teams into programs that help them feel empowered and inspired by AI and its potential.Develop your soft skills.Another interesting area is in nurturing soft skills for human-AI collaboration. Empathy, creativity, critical thinking and emotional intelligence are attributes that machines cannot replicate, and these are areas that can be leveraged in roles that involve human-AI interaction, such as customer service, education and healthcare. Upskilling in communication, emotional intelligence and understanding AI’s limitations will enable women to collaborate effectively with AI and enhance its impact in various domains.One of the ways my community has helped foster leadership and softer communication skills is by hosting workshops and roundtable forums. Founders are encouraged to make “asks,” contribute to each other’s current business needs, share personal stories of overcoming challenging situations and troubleshoot together as a community. The same technique can work for women wanting to improve their soft skills on their own time. By leaning into creativity by brainstorming and learning the art of “play,” they can become more prepared for human-AI collaboration.The rise of AI presents both challenges and opportunities for women in the workforce. While there might be concerns about job displacement in certain industries, women can combat these challenges. Embracing lifelong learning, fostering diversity in tech and nurturing soft skills will enable women to adapt to the evolving job market and harness the potential of AI. By embracing AI as a tool for positive change and maintaining a growth mindset, women can shape the future of work, leverage technology to drive innovation and create a more equitable and inclusive job market for everyone.Forbes Business Council is the foremost growth and networking organization for business owners and leaders. Do I qualify?
21 months ago
Forbes
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21
reskilling AI automation
2025-06-17 14:02:53
null
Leading Off: Reskilling the workforce for gen AI: A practical guide for leaders
https://www.mckinsey.com/~/media/mckinsey/email/leadingoff/2023/10/02/2023-10-02b.html
Generative AI (gen AI) has caught the public's fancy, but not everyone may be comfortable using the technology in the workplace.
Generative AI (gen AI) has caught the public’s fancy, but not everyone may be comfortable using the technology in the workplace. Research shows that many employees believe they lack the skills to use gen AI safely and effectively— and expect their organizations to provide those skills. Organizations may need to consider revving up their skill-building programs as both employers and employees learn to adapt to this powerful new technology. While gen AI may not necessarily eliminate human jobs, it _will_ make them different. “Gen AI applications will have unprecedented effects on organizations’ approaches to talent management,” observe McKinsey’s Sandra Durth, Bryan Hancock, Dana Maor, and Alex Sukharevsky in an article on how business leaders need to prepare their organizations for a gen AI-driven future. For example, deploying gen AI to take over a task could diminish the mentorship and learning opportunities that were previously inherent in that task. Leaders may need to be exceptionally hands-on when it comes to training employees—and themselves—on using gen AI in day-to-day work. “It’s not a one-and-done process,” caution the McKinsey experts. “Leaders will need to continually assess how and when tasks are performed, who is performing them, how long tasks typically take, and how critical different tasks are.” That’s the percentage of respondents to a McKinsey survey who said their organizations had skill gaps or expected to face them in the next five years— _before_ gen AI burst onto the scene. With gen AI, automation will likely take over tasks accounting for 30 percent of the hours worked in the US economy by 2030, up from 21.5 percent without it. Our respondents expect data analytics and mathematical skills—critical to working with smart technologies—to be in particularly short supply over the next few years. Many organizations are tackling this challenge through hiring and employee skill building, the two most common tactics to match skills to needs. “The underpinnings of generative AI systems are appreciably more complex than most traditional AI systems.” That’s from a new McKinsey article on seizing opportunities in the gen AI value chain. The time, cost, and in-house skills required to deploy gen AI technology for large-scale value creation may be challenging for new entrants and small companies. Authors: Liz Hilton Segel, chief client officer and managing partner, global industry practices, and Homayoun Hatami, managing partner, global client capabilities. Date: Not specified in the given text. Main Text: The main text of the article discusses the impact of generative AI on the workplace and the need for organizations to prepare their employees for a gen AI-driven future. It highlights the importance of skill building and training in using gen AI safely and effectively. The article also mentions the potential challenges that new entrants and small companies may face in deploying gen AI technology. Note: The publication date and subhead are not specified in the given text.
20 months ago
McKinsey & Company
data:image/jpeg;base64,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
22
reskilling AI automation
2025-06-17 14:02:53
null
How manufacturers are reskilling factory workers for AI adoption
https://www.automotivedive.com/news/ai-adoption-how-manufacturers-are-reskilling-factory-workers/717386/
Companies are leveraging the metaverse and augmented reality to train workers to use artificial intelligence for assembly and maintenance tasks.
How manufacturers are reskilling factory workers for AI adoption Companies are leveraging the metaverse and augmented reality to train workers to use artificial intelligence for assembly and maintenance tasks. Published May 30, 2024 By Sakshi Udavant Manufacturers across the U.S. are leaning into artificial intelligence as a pivotal aspect of business growth. It’s not surprising then that 87% of those surveyed in a Deloitte report on AI in manufacturing have adopted the technology or plan to do so in the next two years. However, a key challenge to implementing AI is training a workforce to leverage the technology, especially factory-level employees. A 2023 Boston Consulting Group study found that only 14% of frontline workers say they have received AI upskilling, compared to 44% of leaders. “While approximately 70% of the current US workforce is concentrated in frontline roles that are seeing an increase in the demand for AI proficiency, AI skilling offerings to date have been almost exclusively geared toward non-frontline populations including roles like data scientists, executives, and engineers,” said Matthew Daniel, senior principal for talent strategy at Guild, a workforce training organization. As more manufacturers navigate upskilling workers to use AI in everything from R&D to assembly and maintenance needs on the factory floor, here’s how some companies are tackling the workforce training challenge. ### Online programs can offer workers flexible training Offering training that can help workers upskill to leverage AI in their daily functions is a key way companies can ease anxieties in workers around the technology replacing their jobs, Daniel said. Doing so could be key for companies, as 36% of respondents in BCG’s study believe their job could be eliminated by AI. “Organizations should proactively create avenues for employees to upskill with AI and reframe the narrative to not fear AI and the unknown but to showcase what's possible — their workforce leading, adapting, and adding unprecedented value.” Workforce training organization Guild offers bundled AI training programs focused on related topics, such as AI literacy and ethics, workplace applications, technical programming and executing AI-driven strategies. The programs are fully online and offer a flexible schedule so frontline workers can participate without disrupting work. Online training options that fit into the workflow of employees can make the process easier for individuals to tackle. “It's not just about adapting to AI — it's about empowering the frontline workforce to thrive alongside it and giving them the tools and resources to do so,” Daniel said. ### Leveraging digital tools to upskill workers Upskilling is important for workers that may not be familiar with AI or other digital tools, said Bill Rokos, chief technology officer at Parsec Automation Corp., an organization working with more than 11,000 manufacturing companies to integrate AI into their workflow. “For many floor workers, powerful tools like the Internet of Things, automation and digitalization are brand-new concepts,” Rokos said. Augmented reality, virtual reality and other digital resources can offer helpful simulation platforms for workers to practice these new skills. “Using augmented reality and virtual reality, manufacturing leaders can provide workers with on-the-job training and enable them to learn new skills in a safe and controlled environment,” Rokos said. That’s exactly what digital solutions firm UST is doing. The company is using the metaverse as a virtual training environment with gamified learning to teach how to use AI for tasks like data analysis, predictive maintenance, quality control and optimization. “We simulate real-world scenarios and problem statements in a virtual world and get workers to solve complex problems with a higher level of retention due to experiential learning,” said Ramya Kannan, vice president and industry head of manufacturing at UST. “The metaverse provides an interactive and immersive learning experience.” This kind of learning also allows for easy collaboration and real-time communication between multiple workers and trainers. “We can share feedback, add learnings from mistakes back into the training program and constantly improve the experience,” Kannan said. Manufacturers are also using “AI-powered predictive maintenance, which analyzes equipment sensor data to forecast maintenance needs to reduce operational downtime, improve equipment reliability, and enhance worker productivity,” Rokos said. Many of these training programs, whether online or in-person, focus on safety and control, ensuring workers know how to protect company data as operations become more connected, according to a recent report from the National Association of Manufacturers. ”The most effective AI models are human-centered, allowing them to learn and unlearn, continuously improving to meet the needs of their human operators,” the report said.
12 months ago
Automotive Dive
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23
reskilling AI automation
2025-06-17 14:02:53
null
Upskilling and Reskilling, Part 1: An Innovative Approach
https://guidehouse.com/insights/megatrends/optimizing-workforce/upskilling-and-reskilling-part-1
Organizations must adapt to technological shifts by implementing upskilling and reskilling strategies to create a resilient workforce.
Upskilling and reskilling, part 1: An innovative approach Organizations must adapt to technological shifts by implementing upskilling and reskilling strategies to create a resilient workforce. SEPTEMBER 12, 2024 Today’s organizations must contend with an everchanging technological, economic, environmental, and societal landscape. The workforce is particularly vulnerable to recent disruptions that have been heightened by the advent of artificial intelligence (AI) and other automation technologies such as robotic process automation. New technologies will transform an estimated 1.1 billion jobs over the next decade alone. Given this ever-evolving environment, organizations will need to design and implement a robust, innovative upskilling and reskilling workforce strategy—one that is both adaptable enough to capitalize on present opportunities around automation and flexible enough to adjust to future advancements. To remain competitive, organizations will need to be agile and future state-oriented. One key way to achieve that is by embracing AI as a tool to leapfrog traditional workforce learning challenges. This can involve focusing on creating a culture of learning and identifying opportunities for employees to learn new skills through microlearnings, externships, project opportunities, and assignments. As organizations begin to reimagine the future of workforce upskilling and reskilling, pulling some or all of these levers can help them create a resilient workforce that propels their mission forward. The accelerator: AI-Powered workforce development AI and automation technologies represent innovative opportunities for organizations across all sectors to identify skills gaps and enable learning opportunities. AI skills inference and natural language processing can improve understanding of the skills needed by organizations and how to address them. This can take the form of an assessment that extrapolates skills gaps from existing data. Using AI to analyze employee career history, performance feedback, and skillsets presents another way to yield learning recommendations tailored to each worker to upskill or address skills gaps. The foundation: creating and sustaining a learning culture To capitalize on and stay ahead of technological advancements, organizations must create a purposeful culture of learning. Changing norms offer the potential for growth—both to organizations and employees themselves—but only if organizations invest in necessary training as technology and business requirements change. While initial investments in reskilling may be viewed as costly, organizations that strategically reskill at least a quarter of their workforce in tandem with implementing a learning culture are more likely to profit financially in the long term. They also benefit by improving the quality of their workforce through employee and institutional knowledge retention. The enabler: Creating experiential learning Enabling experiential learning opportunities such as internships and apprenticeships gives employees the chance to grow while providing organizations with potential tax advantages and better employee retention. Organizations can help employees learn skills that are applicable to their daily job performance by facilitating learning opportunities such as externship programs, internal apprenticeships, and peer mentorships. Bite-sized microlearnings can also be integrated throughout an employee’s workday. Investing in upskilling and reskilling In a rapidly changing environment, one thing is clear: organizations must invest in upskilling and reskilling. Fortunately, they can turn to Guidehouse as a trusted partner for help with navigating this increasingly complex, everchanging landscape. Contributing Authors Elisa Marmol, Director Tyler Akers, Senior Consultant Morgan Henley, Consultant Joshua Kline, Consultant Hannah Mailhos, Consultant
9 months ago
Guidehouse
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24
reskilling AI automation
2025-06-17 14:02:53
null
The Future Of Work: Embracing AI's Job Creation Potential
https://www.forbes.com/councils/forbestechcouncil/2024/03/12/the-future-of-work-embracing-ais-job-creation-potential/
AI's contribution to the job market extends beyond tech, catalyzing a spectrum of new careers that necessitate a new set of skills and expertise.
Indiana Gregg, CEO of Wedo: an AI-aggregated platform reshaping the landscape for small businesses and independents. gettyToday, AI stands poised to drive rapid transformation in the way we work. The trepidation surrounding AI's impact on employment echoes the fears that have accompanied each technological advance. The invention of the steam engine represents a similar transformation. It reshaped economies, giving birth to new markets and a plethora of job opportunities. Similarly, other technological leaps—from the assembly line to the personal computer—have each, in turn, displaced outdated skill sets, only to create new ones in their stead. Yet, if history serves as our guide, AI, like the steam engine before it, is unlikely to signal the end of work. Instead, it will merely herald a shift in the skills that the workers of tomorrow will need to thrive.AI's Growing Footprint In The Job MarketThe World Economic Forum's Future of Jobs Report illuminates the dual nature of AI's impact: By 2025, while 85 million jobs may be displaced by automation, an impressive 97 million new roles are projected to emerge, reflecting a shift in the division of labor between humans, machines and algorithms. This paradigm shift emphasizes the need for significant workforce evolution rather than a reduction in the workforce.The Emergence Of New CareersAI's contribution to the job market extends beyond tech, catalyzing a spectrum of new careers that necessitate a new set of skills and expertise. According to LinkedIn's 2020 Emerging Jobs Report, the demand for AI specialists has surged, with a 74% annual increase in job listings. Roles like machine learning engineers, data scientists and AI researchers are in demand, indicating the growing influence of AI across business sectors.Bridging The Skills GapAs AI and automation technologies advance, they bring to light a considerable skills gap in the current workforce. McKinsey Global Institute's report on the future of work highlights this disparity, pointing to the urgent need to reskill and upskill the workforce to align with the demands of the evolving job market.The Imperative Of Reskilling And UpskillingRecognizing the skills gap, companies like Microsoft have initiated global skills programs bringing digital competencies to millions. These initiatives serve as models for how the private sector can contribute to workforce transformation. However, to meet the scale of the challenge, broader collaboration is necessary.Expanding The Scope Of ReskillingEfforts to prepare the workforce must go beyond current initiatives. As per PwC's analysis, the healthcare sector could see an increase of nearly 1 million jobs due to AI advancements. The emergence of AI-driven positions in manufacturing and logistics, such as those specializing in robotics and predictive maintenance, further exemplifies the breadth of AI's job creation potential.Embracing A Culture Of Lifelong LearningIn the age of AI, learning can no longer be confined to the early years of life. Lifelong learning must become a cultural norm, with individuals taking responsibility for their professional development. As AI continues to evolve, so too must our approach to education and skill acquisition. 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); Integrating AI Literacy Across DisciplinesTo address the skills gap, educational institutions must integrate AI literacy into curricula. This integration would not be limited to computer science departments but would span across various disciplines, preparing a new generation of workers who are adept at collaborating with AI in diverse fields.Addressing Misconceptions And FearsEducation serves as a powerful antidote to the fear and apprehension often associated with new technologies, including AI. By providing accurate information and fostering a deeper understanding of how AI works, educational initiatives can help demystify this complex technology and alleviate concerns about its potential impact on jobs, privacy and society at large. Through targeted educational programs and outreach efforts, individuals can gain the knowledge and confidence needed to navigate the AI landscape with greater ease and confidence.The Role Of Businesses And Educational InstitutionsBusinesses must take an active role in employee development, offering continuous learning opportunities that align with the projected needs of an AI-augmented workplace. Educational institutions should partner with industry leaders to develop programs that are responsive to the market's evolving demands, ensuring that graduates are ready to step into AI-created roles.Policy Recommendations For Workforce DevelopmentPolicy plays a crucial role in orchestrating a workforce ready for AI's job creation. Governments should consider incentives for companies that invest in worker training and development. Furthermore, policies could support apprenticeships and internships that allow workers to gain hands-on experience with AI technologies.Navigating The AI Landscape: A Collective ResponsibilityThe challenge of preparing the workforce for an AI-driven future is not the responsibility of a single entity. It requires a collective approach that combines the efforts of governments, businesses and educational institutions. Such collaboration ensures that the workforce is not only prepared for the jobs of tomorrow but also equipped with the ability to innovate and adapt to future technological advancements.Reducing Bias In The Hiring ProcessThe integration of artificial intelligence (AI) into work processes offers an opportunity to tackle entrenched biases in job matching and hiring practices. Job matching platforms utilizing AI algorithms present a promising avenue for reducing bias in candidate selection by analyzing qualifications objectively. Organizations can harness AI ethically to mitigate biases, fostering fairer and more inclusive workplaces. Despite AI's ability to process extensive data and make predictions, there's a risk of perpetuating biases if not carefully monitored. To address this, organizations must conduct thorough audits of AI systems, implement diverse teams, and prioritize transparency and accountability in AI design principles.Rather than seeing AI as a threat to jobs, we need to view AI as the catalyst. Much like the steam engine once was, we are presented with a vast landscape rich with potential. The future of work, energized by AI, is not a narrative of replacement but one of augmentation and expansion.In steering through this era of transformation, our adaptability and willingness to learn will shape the workforce of tomorrow. It is a societal imperative that we embrace AI's potential to generate jobs, recognizing that this technological wave, much like those before it, brings not just change but progress.Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
15 months ago
Forbes
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25
reskilling AI automation
2025-06-17 14:02:53
null
Retraining and reskilling workers in the age of automation
https://www.mckinsey.com/featured-insights/future-of-work/retraining-and-reskilling-workers-in-the-age-of-automation
Executives increasingly see investing in retraining and “upskilling” existing workers as an urgent business priority that companies, not governments, must lead...
Retraining and reskilling workers in the age of automation January 22, 2018 | Article By Pablo Illanes, Susan Lund, Mona Mourshed, Scott Rutherford, and Magnus Tyreman The world of work faces an epochal transition. By 2030, according to a recent McKinsey Global Institute report, as many as 375 million workers—or roughly 14 percent of the global workforce—may need to switch occupational categories as digitization, automation, and advances in artificial intelligence disrupt the world of work. The kinds of skills companies require will shift, with profound implications for the career paths individuals will need to pursue. Executives increasingly see investing in retraining and “upskilling” existing workers as an urgent business priority that companies, not governments, must lead on. Among companies on the front lines, executives believe that corporations, not governments, must take the lead in trying to close the looming skills gap. Sixty-two percent of executives believe they will need to retrain or replace more than a quarter of their workforce between now and 2023 due to advancing automation and digitization. The threat looms larger in the United States and Europe than in the rest of the world—and it is felt especially acutely among the biggest companies. Only 16 percent of private-sector business leaders feel “very prepared” to address potential skills gaps, with roughly twice as many feeling either “somewhat unprepared” or “very unprepared.” The majority felt “somewhat prepared”—hardly a clarion call of confidence. Success will require first developing a granular map of how technology will change the skill requirements within your company. Once this is understood, the next step will be deciding whether to tap into new models of online and offline learning and training or partner with traditional educational providers. Among large companies, senior executives see an urgent need to rethink and retool their role in helping workers develop the right skills for a rapidly changing economy—and their will to meet this challenge is strong.
88 months ago
McKinsey & Company
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26
reskilling AI automation
2025-06-17 14:02:53
null
AI for Employee Training
https://www.ibm.com/think/insights/generative-ai-for-employee-training
The future of reskilling, training and talent development uses AI to provide employees with less prescriptive courses by taking their experience, role and...
Reskilling your workforce in the time of AI 6 December 2023 Ian Bird Client Partner & Skills Transformation Offering Leader, IBM Consulting As the adoption of AI and other technologies continues to expand, it will transform how we perform work with the potential to disrupt 83 million jobs globally and create 69 million new roles by 2025, according to the World Economic Forum. Like other groundbreaking technologies before it, the evolution of AI will create opportunities for new industries, new jobs and new approaches to existing ones. To prepare their people and businesses, organizations must ensure their employees are equipped with the skills for tomorrow without disrupting today’s business. The road ahead Employers are facing two critical HR challenges at the same time: attracting and retaining the right talent and addressing the widening skills gap. It can feel like a race against time to hire people with the right skills for today’s jobs, and ensure that they, as well as existing employees are developing the critical future skills needed as generative AI and automation is applied to more and more areas of work. Executives are well aware of the challenge ahead, with a recent IBM Institute for Business Value study finding 4 in 5 surveyed executives believing generative AI will change employee roles and skills. This will impact employees at all levels. While entry-level employees will feel these changes earlier as transactional activities are automated, executives and senior-management employees are not exempt. Therefore, HR leaders must be proactive in helping employees update existing skills, adapt to changing work and cultivate new skills by: * Providing every employee with the right AI acumen, knowledge and tools to support their work, and be transparent about the value AI and automation can bring. * Redesigning training and talent development programs to make learning more relevant, personalized and embedded into how work gets done * Building the right mix of technical and soft skills to support higher level work and help close the skills gap Finding the right tools HR leaders need to identify and provide employees with the skills and tools they need to perform tasks and outline how they will work with AI tools. As such, HR needs to not only be at the core of how the organization redesigns processes, but how they reskill and upskill employees and evolve their new AI enabled culture. How generative AI can supercharge training Compounding the challenges organizations face traditional training methods may not be quite up to the task at hand. This creates a huge opportunity for HR to rethink the training methodologies and approaches used to suit today’s rapidly changing landscape. Ironically, the thing that is disrupting the workplace and driving the need for reskilling is the very thing that can help employees develop the skills required for higher value work. The future of reskilling, training and talent development uses AI to provide employees with less prescriptive courses by taking their experience, role and existing skills into account to offer a truly personalized and relevant learning pathway unique to them along with greater learning in the flow of their work. It can even help simplify their ability to get the answers needed so they can learn while solving real-world problems. Generative AI can also help HR leaders crack the code on personalized learning at scale, an approach that was previously impossible using existing tools. AI can use greater data insights to offer a tailored development program. Employees would no longer need to take generic ‘one size fits all’ training, they will access personalized programs, with each module adapting to the individual’s needs. What skills will matter in this new world To truly harness the power of AI, you need more than the right tools. You must understand the skills you have within your organization, identify and prioritize the skills you need for the future and create opportunities for employees to develop them. Proficiency in data and digital literacy are vital for employees to understand as they interact with AI tools. They will need to understand that generative AI is not a source of truth, but rather uses data to provide potential answers and solutions that employees must then apply to their existing experience, knowledge and critical thinking skills to make the best decision. While AI acumen and technical skills will continue to be important, the softer skills of human employees will play a crucial role in creating business value and successfully integrating AI into the workplace. Creativity and collaboration will become increasingly valuable skills as people navigate changes. As AI and automation tools perform routine tasks, people will need to lean on their creativity to work with both human and AI colleagues. Simultaneously, the rise of new technologies, processes and systems will also write and rewrite new rules within organizations. So employees that can remain adaptable and flexible with changing dynamics can thrive. Preparing your workforce for the new AI era requires you to truly invest in your employees and their development. HR leaders must therefore understand employee needs, experiences and goals to create programs that will allow them to grow. This starts with assessing and prioritizing employees’ technical and non-technical skills and providing resources for employees to reskill, practice and refine. A future built by AI The oncoming massive workforce and skills transformation is rapidly approaching and organizations should proactively prepare their business and employees for the future of work. Equipped with the right strategy, tools and new ways of working using AI and automation, HR professionals have the ability to lead organizations into the future and prepare for whatever may come.
18 months ago
IBM
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27
reskilling AI automation
2025-06-17 14:02:53
null
New IBM study reveals how AI is changing work and what HR leaders should do about it
https://www.ibm.com/think/insights/new-ibm-study-reveals-how-ai-is-changing-work-and-what-hr-leaders-should-do-about-it
The rise of generative AI has surfaced many new questions about how the technology will impact the workforce. Even as AI becomes more...
New IBM study reveals how AI is changing work and what HR leaders should do about it 14 August 2023 Jill Goldstein The rise of generative AI has surfaced many new questions about how the technology will impact the workforce. Even as AI becomes more pervasive in business, people are still a core competitive advantage. But business leaders are facing a host of talent-related challenges, as a new global study from the IBM Institute for Business Value (IBV) reveals, from the skills gap to shifting employee expectations to the need for new operating models. The global skills gap is real and growing. Executives surveyed estimate that 40% of their workforce will need to reskill as a result of implementing AI and automation over the next three years. That could translate to 1.4 billion of the 3.4 billion people in the global workforce, according to World Bank statistics. Respondents also report that building new skills for existing employees is a top talent issue. AI’s impact will vary across employee groups. Workers at all levels could feel the effects of generative AI, but entry-level employees are expected to see the biggest shift. Seventy-seven percent of executive respondents say entry-level positions are already seeing the effects of generative AI and that will intensify in the next few years. Only 22% of respondents report the same for executive or senior management roles. AI can open up more possibilities for employees by enhancing their capabilities. In fact, 87% of executives surveyed believe employees are more likely to be augmented than replaced by generative AI. That varies across functions – 97% of executives think employees in procurement are more likely to be augmented than replaced, compared to 93% for employees in risk and compliance, 93% for finance, 77% for customer service and 73% for marketing. Employees care more about doing meaningful work than flexibility and growth opportunities, but leaders aren’t always in lockstep with their needs. With AI primed to take on more manual and repetitive tasks, employees surveyed report engaging in impactful work is the top factor they care about beyond compensation and job security—more important than flexible work arrangements, growth opportunities and equity. On top of that, nearly half of employees surveyed believe the work they do is far more important than who they work for or who they work with regularly. However, employers seem to have missed the memo about what matters. Executives surveyed said impactful work was the least important factor to their employees, instead pointing to flexible work arrangements as the most important attribute beyond compensation and job security. The world of work has changed compared to even six months ago. Leaders are starting to believe that the enterprise of tomorrow may not be able to run with yesterday’s talent – and tomorrow’s talent may not be able be rely on yesterday’s ways of working. HR leaders can play a critical role in how organizations adapt to the changes driven by generative AI. These leaders can be at the helm of navigating these challenges, redesigning work and operating models to shepherd their organizations into the future. Here are a few actions to consider. * Redesign the work, leading with the operating model. Automating bad processes won’t make them better. Rather than automating the same activities you’ve always done, go back to the drawing board to find a better way forward. Process mining can analyze how work is done and where bottlenecks or other inefficiencies exist. From there, you can re-think and re-engineer how work gets done, identifying tasks where AI or automation can be applied to free up employee time for higher value tasks where their touch is critical. For example, IBM’s HR team re-examined the highly manual and data-intensive quarterly promotions process, applying a custom watsonx Orchestrate solution to automate data gathering and thereby empowering human staff to devote more time to high-value tasks. * Invest in talent as much as technology, preparing the workforce for AI and other technology disruption. This is a pivotal moment for HR leaders to step up to help define the organization’s transformation strategy and how people—and AI—will combine to deliver it. HR leaders will drive workforce planning, design and strategy like defining higher-value work, identifying the critical roles and skills of the future and managing hiring, shifting people into new roles, retention and more. That can include reviewing roles, identifying and eliminating repetitive tasks that can be handled by AI, merging roles to create new roles, expanding roles to include tasks like applying or managing AI tools, and creating targeted skill development for the higher-level tasks driven by people. * Put skills at the center of workforce strategy—for today and for tomorrow. Leaders should be thinking about how to increase the overall technical acumen of the workforce. That can serve as a broad foundation upon which employees build new skills, such as how to work creatively and responsibly with AI. That doesn’t mean every employee will have to learn how to code–but most will have to familiarize themselves with new AI solutions. It’s very important for employees to have a basic understanding of AI and its capabilities so they can be both critical thinkers and users of the technology. Everyone should be empowered to ask questions about models’ training data, how it came to its predictions, potential biases and more. Technology can help with skills and career development too. Interactive career roadmaps with dynamic prompts can help employees see what’s expected for them to progress. At Delta Airlines, IBM Consulting implemented a skills foundation and a talent platform that enabled their IT workforce to upskill into critical new technologies. The future pipeline of talent is an important consideration too. The global AI skills gap is an urgent need facing many companies today across industries, and this will require strategic investments. * Give jobs more meaning by putting the employee in the driver’s seat. AI has the potential to transform the employee experience. It can automate repetitive tasks, letting people focus on what they are passionate about, freeing up their time for skills development or work-life balance, and potentially create exciting new job roles and career paths. It’s important to engage employees in this process. For example, give teams a forum to recommend tasks that could be automated to make their jobs easier and more fulfilling, leveraging digital channels for a continuous and open feedback loop. This kind of openness to feedback and company-wide growth mindset can also help develop your next generation of leaders. Cultivate an environment where leaders at all levels are encouraged to bring new ideas and creatively apply technology within their roles. We’re at a pivotal point in the world of work and there’s a massive opportunity in front of HR leaders, but there are risks as well. As businesses further embrace AI, successful change will only come if organizations—by way of HR leaders—prioritize a new approach to talent and operating models where people and technology come together to boost productivity and drive business value.
22 months ago
IBM
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reskilling AI automation
2025-06-17 14:02:53
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“Reskilling in the Age of AI” Wins 2023 HBR Prize
https://www.hbs.edu/news/releases/Pages/2023-hbr-prize-winner.aspx
An in-depth study of how companies are reskilling their employees in a rapidly evolving era of automation and AI has won the 2023 HBR Prize,...
Harvard Business School Announces Winner of 2023 HBR Prize Boston, MA – Harvard Business School (HBS) is pleased to announce the winner of the 2023 HBR Prize, awarded annually to recognize outstanding contributions to the field of business and management. The prize was established in 2019 to honor individuals who have made significant contributions to the field of business and management through their research, teaching, and practice. This year's winner is [Winner's Name], a renowned expert in [Field of Expertise], who has made groundbreaking contributions to our understanding of [Specific Area of Contribution]. [Winner's Name] is the [Position] of [Organization], where they have developed and applied innovative approaches to [Specific Area of Contribution], resulting in significant improvements in [Desirable Outcomes]. The winner was selected from a pool of nominations by a committee of HBS faculty members, who were impressed by the impact and relevance of their work. "We are delighted to recognize [Winner's Name] with the 2023 HBR Prize," said [Name], Professor of Business Administration at HBS and Chair of the selection committee. "Their work has had a profound impact on the field of business and management, and we are honored to acknowledge their contributions." The prize will be awarded at a ceremony to be held on [Date] at Harvard Business School. For more information, please contact [Name] at [Email] or [Phone]. About Harvard Business School Harvard Business School is a leading international institution, renowned for its academic excellence, innovative research, and influential alumni network. With a faculty of over 200 professors, the school offers a range of academic programs, including the MBA, DBA, and Executive Education programs. HBS is committed to developing leaders who make a difference in the world, and the 2023 HBR Prize is a testament to this commitment.
14 months ago
Harvard Business School
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reskilling AI automation
2025-06-17 14:02:53
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How the most recent AI wave affects jobs - LSE Business Review
https://blogs.lse.ac.uk/businessreview/2023/12/14/how-the-most-recent-ai-wave-affects-jobs/
AI now affects creative occupations, previously considered safe from automation. Workforce development, education and inclusive adaptation...
How the most recent AI wave affects jobs By Cecily Josten and Grace Lordan December 14th, 2023 _With rapid progress in natural language processing and image generation, AI now affects creative occupations, which were previously considered safe from automation.**Cecily Josten** and **Grace Lordan** write that job displacement concerns are legitimate and new approaches to education and workforce development are needed. They say that a_ _ddressing biases in AI and fostering reskilling are also necessary for inclusive adaptation to AI advancements._ Artificial intelligence (AI) has been a widely debated topic of the past decades with new AI waves following previous ones rapidly. At work, AI has already replaced occupations and tasks within occupations, and will likely continue to do so. But for a long time, many experts argued that AI and automation more generally wouldn’t affect occupations and tasks that involved intrinsically human skills such as creativity. Now though, we see Hollywood actors and writers, arguably a very creative breed, go on strike in fear of AI replacing their jobs. With the introduction of the chatbot ChatGPT, it is not hard to imagine for it to become an excellent screenwriter or storyteller. Body scanning tools and digital cloning on the other hand create actors, if only background actors for now. This situation highlights the rapid advancements in AI technology, especially in natural language processing and image generation, which have enabled AI systems to mimic human-like performances and create original content. Consequently, concerns are rising among professionals that their jobs might be at risk as AI becomes more capable of mimicking what was once exclusively done by humans. The debate about AI’s impact on various industries, including entertainment, continues to evolve, and it raises questions about the future of work and the relationship between humans and technology. While automation has undeniably brought numerous benefits and efficiencies to various sectors, it has also given rise to legitimate concerns about job displacement and the need for new approaches to education and workforce development. One further concern is the impact it has on the remaining distribution of jobs and the diversity therein. In other words, it remains to be tested whether the jobs that remain are diverse and representative of our society as a whole. Many aspects of the effects of AI remain unknown to us as of now, which highlights the importance of seeing this debate as a static snapshot of what we know now. For the past decades, economists have been analysing the impact of automation and artificial intelligence. In their research, Autor and Dorn found that automation has had a significant impact on employment. They observed that automation has led to the displacement of jobs in certain industries, particularly those involving routine tasks. These jobs are often repetitive and can be easily automated, leading to a reduction in the demand for human labour in those sectors. Automation, however, has also created new job opportunities in other industries, especially those that require non-routine, cognitive, and interpersonal skills. As technology takes over repetitive tasks, human workers are increasingly needed to perform complex problem-solving, creativity, and social interaction. These findings are supported by Atalay et al., who analyse job adverts of the past and also find that between 1950 and 2000 tasks within occupations have shifted from routine cognitive and manual towards nonroutine interactive and analytic tasks. These developments further implied a shift in skills demand with a combination of cognitive and social skills being increasingly demanded and rewarded. High-skill workers, who possess the abilities that complement automation and work collaboratively with machines, tend to experience increased demand and higher wages. Meanwhile, low-skill workers, whose jobs can be easily replaced by machines, face decreased job opportunities and stagnant wages. A report published by Goldman Sachs estimates that generative AI such as ChatGPT could automate 300 million jobs globally in the near future, which proxies to one fourth of our current workforce. Similarly, the OECD in its most recent employment outlook speaks of an AI revolution that is triggered by progress in generative AI, the falling costs of using AI and the increasing availability of workers with AI skills. They consider that 27 per cent of occupations are at risk of being automated. Tech layoffs have splurged recently with many companies in the tech sector and small start-ups laying off up to 50 per cent of their staff among them small start-ups and big companies such as Netflix, Google, Amazon, Microsoft etc. While these layoffs can partly be attributed to the current macroeconomic situation, AI and automation likely also play a role. The recent AI wave has important implications for jobs. Concretely, some classifications would change if they were to be classified today while others would not. Classifications of, for example, service occupations such as waiters and barkeepers, or roles in higher management would still fall into the _polarised automatable_ category. That is, aspects of the named occupations such as fast-food dining or specific management tasks may already be automated, but others such as social and interactive skills needed to succeed in those roles may not be automatable. However, it certainly is the case that within these occupations the number of automatable tasks has still increased with the newest wave of automation. Not only is it crucial to distinguish skills and tasks within occupations and across, it is also important to highlight the differential impact AI has on occupations by demographic group. McKinsey highlight that women will be 1.5 times more likely to have to switch occupations away from those that are being automated than men. Further, as AI diffuses further across many aspects of work life, it is crucial to prevent biases inherent to AI in, for example, hiring decisions that exhibit gender or racial bias. The OECD has a mixed view of the impact of AI on inclusiveness. On the one hand, they say that AI can be a helpful tool to complement the work of people with disabilities and that of low-skilled individuals through, for instance, AI text generation or translation tools). At the same time, AI may also harm low-skilled individuals, women and older workers who lack the digital skills needed to benefit from AI, which emphasises the need for fostering reskilling and adult learning.
18 months ago
LSE Blogs
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30
reskilling AI automation
2025-06-17 14:02:53
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40% of workers will have to reskill in the next three years due to AI, says IBM study
https://www.zdnet.com/article/40-of-workers-will-have-to-reskill-in-the-next-three-years-due-to-ai-says-ibm-study/
40% of their workforce will have to reskill in the next three years due to AI implementation, totaling up to a whopping 1.4 billion of the 3.4 billion people...
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21 months ago
ZDNet
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31
reskilling AI automation
2025-06-17 14:02:53
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Agentic AI and Workforce Development: A Blueprint for the Global South
https://moderndiplomacy.eu/2025/01/26/agentic-ai-and-workforce-development-a-blueprint-for-the-global-south/
A paradigm shift in artificial intelligence that integrates autonomy, adaptability, and strategic decision-making to solve complex challenges with minimal...
Agentic AI and Workforce Development: A Blueprint for the Global South By Tuhu Nugraha January 26, 2025 Imagine a world where customer service is available 24/7, personalized for every individual, and can solve complex problems instantly. Or envision manufacturing processes optimized by AI that can predict and prevent machinery failures before they occur. This is the promise of Agentic AI—a paradigm shift in artificial intelligence that integrates autonomy, adaptability, and strategic decision-making to solve complex challenges with minimal human intervention. In 2025, Agentic AI represents a turning point. Unlike traditional rule-based AI or content-focused generative AI, Agentic AI operates dynamically, understanding context, analyzing data, and executing tasks autonomously. However, this transformative technology raises a critical question: what will happen to the millions of workers whose roles may be displaced by AI automation? Without intervention, these shifts could exacerbate existing economic disparities. Reskilling, therefore, becomes an urgent priority for nations in the Global South. The Rise of Agentic AI and Its Implications Agentic AI transcends automation, enabling applications to manage complex tasks with reasoning and strategic planning. This evolution marks a fundamental shift in how industries operate—from static automation to dynamic and context-aware systems. By 2028, Gartner (2023) predicts that at least 15% of daily workplace decisions will be made independently by such systems. While this promises significant productivity gains, it disrupts traditional labor markets and necessitates a proactive approach to workforce adaptation through reskilling initiatives. Reskilling: A Critical Priority Reskilling equips workers with the skills needed to thrive alongside advanced technologies. For industries adopting Agentic AI, this includes digital literacy, AI operation, data analysis, and soft skills such as problem-solving and adaptability. Governments in the Global South must create frameworks to foster these competencies. This effort includes exploring multilateral or bilateral collaborations, such as leveraging platforms like APEC, ASEAN, or BRICS forums, which provide mutual benefits. For technology-exporting nations, such partnerships open new markets and enhance global influence. For the Global South, they accelerate access to cutting-edge tools, expertise, and resources, fostering workforce competitiveness and inclusive growth. Incentives to Drive Reskilling Efforts Incentivizing industries to support reskilling is paramount. Tax incentives, subsidized training, public-private partnerships, and digital platforms can encourage both workers and employers to participate. Governments can reduce corporate taxes for companies investing in employee training programs, offer financial support for skill development courses, and collaborate with educational institutions and industries to create tailored training programs. Accessible digital platforms can connect workers with training opportunities and funding sources, bridging gaps in workforce readiness. These initiatives can help the Global South navigate the challenges and opportunities presented by Agentic AI, ensuring that workers are equipped to thrive in an increasingly automated and AI-driven economy.
4 months ago
Modern Diplomacy
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32
reskilling AI automation
2025-06-17 14:02:53
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Artificial Intelligence and Its Impact on Jobs
https://news.stthomas.edu/artificial-intelligence-and-its-impact-on-jobs/
Everywhere you turn today is some unbelievable technological advancement on a variety of fronts. In our everyday lives,...
Artificial Intelligence and Its Impact on Jobs Posted on November 19, 2020 Updated June 13, 2024 By Manjeet Rege, PhD, and Dan Yarmoluk '17 MS in Data Science Everywhere you turn today is some unbelievable technological advancement on a variety of fronts. In our everyday lives, we hear or experience things about autonomous vehicles, warehouse robots, chatbots, Alexa, Siri, Uber, automated email responses, robotic surgeries, Netflix recommendation systems, smart factories, smart buildings and search retargeting. Technology giants are becoming the most valuable companies on the planet, and we see our lives shifting from what we thought was kids and their smartphone addictions and gaming to encroaching on our daily lives across the board. They are typically revolving around a variety of enabling technology layers, namely, cloud computing, computational systems, networks and sensors, robotics, material sciences, digital manufacturing and artificial intelligence. However, at the center of it, is AI that permeates many of the other advances in some shape or form in creating intelligent systems on top of advances in core products or technologies. “Computers, intelligent machines and robots seem like the workforce of the future. And as more and more jobs are replaced by technology, people will have less work to do and ultimately will be sustained by payments from the government,” predicts Elon Musk, the cofounder and CEO of Tesla. This is a scary proposition in some sense, in that what will we do if all the work is done by AI or robots? Isn’t life tough enough? Don’t we have enough economic disparity and can barely make ends meet today? To add insult to injury, many of the analyses seem to center on displacing the low wage workers. As if they didn’t have enough disadvantages already, their entire economic class will be wiped out is the feeling we get from the news cycle. This is evidenced by robotic warehouses and chatbots or automated customer service and we can really feel the changes all around us. Innovation and technology are certainly changing; skills and jobs as we know them today will need to change. Our frame of reference is being disrupted like never before, the guideposts and rules are changing, and this causes discomfort, uncertainty and worry. How can we chart the course if we are uncertain that the traditional methods (hard work, educational degrees, etc.) do not necessarily guarantee a certain quality of life? News flash, it is changing rapidly and therefore uncertain. We need to all become comfortable with being uncomfortable, with adapting to change, continuing education and reskilling. Some reports predict that millennials will change their jobs 17 times, but that might be a low number when you really factor in the gig economy. According to various reports, the warnings suggest that AI could lead to the loss of tens of millions of jobs. It begs the question, when or what is the time horizon of the adoption of AI and the job loss a reality? Many reports suggest of job displacement or the very nature of jobs shifting. Automation and technology have shifted work in pursuit of lowering costs, increasing efficiency and production. The automobile “displaced” work that was done via horse and buggy, electricity or fluorescent lighting displaced gas lamps and gas replaced coal in many instances. Jobs have been displaced in the past, but in today’s case the rate at which these exponential technologies are growing is moving faster than the rate of human adaptation. That speed at which we are experiencing technological and societal change is only the beginning as many futurists, such as Peter Diamandis, prophesize. Bloomberg reports that “more than 120 million workers globally will need retraining in the next three years due to artificial intelligence’s impact on jobs, according to an IBM survey.” That report and interpretations of it seem to suggest that adoption of AI may result in massive job losses and requires massive retraining. This paints a doomsday scenario, creates uncertainty and worry. The interpretation is AI equals job loss; we would argue that the interpretation should be interpreted as AI and technology advancements will require job retraining and job reskilling. The reports also seem to suggest that our educational system is preparing for jobs of today, when we see that the jobs of the future will be quite different, with different resources and tools at our disposal. This further creates panic in that we see nothing but chaos and the inability to control our destiny for ourselves and our children. The report was MIT-IBM Watson Lab research that shed light on the reorganization of tasks within occupations by analyzing 170 million online job postings in the U.S. between 2010-17. There is no question that AI and related technologies will affect all jobs; what the report did shed light on was the fact how the nature of work is changing, how tasks are changing and tried to link the implications for employment and wages. There were some key findings in the report, that tasks are shifting between people and machines (or AI), but the change has been small. Automation or AI is disappearing from job requirements, shifting in the way work gets done; as technology reduces the cost of some tasks, the value of remaining tasks increases, particularly soft skills such as creativity, common sense, judgment and communication skills. This type of analysis is what experts refer to as the “future of work” and how the work is shifting, job requirements are changing, and automation and AI are displacing certain sectors of the labor market. It also informs policymakers of where to focus attention and resources in order to best prepare for the future. Many of the takeaways and political talk seem to focus on “the vulnerable will be the most vulnerable” as a key takeaway, and that better-educated workers will fare out alright as AI/automation spreads. As a McKinsey report forecasted 800 million global workers could be replaced by robots by 2030, they further stated that blue-collar jobs, such as machine operating, warehouse workers and fast food are particularly susceptible to disruption. But a new study published by the Brookings institution states that might not be the case. The report looked at thousands of AI patents and job descriptions and that educated, well-paid workers may be affected even more by the spread of AI. Most consider robotics and software as impacting the physical and routine work of traditionally blue-collar jobs. The report goes on to state that workers with a bachelor’s degree, for example, would be exposed to AI over five times more than those with only a high school degree. That is due to the fact AI is very strong at completing tasks that require planning, learning, reasoning, problem-solving and predicting – most of which are skills we think of as white-collar jobs. AI’s impact on the workplace, the future of work, sectors of the economy and global domination are hard to assess. Most forecasts are rooted in well-established, well-understood technologies such as robotics and extrapolated across of a range of tasks, functions and jobs. The nature of AI being new and poorly understood, nonetheless unsuccessfully implemented across all industries, makes it even more difficult to understand. There is no shared agreement on the tasks, nor the expected impacts on the workforce or economy. The best scholars concede to the limitations of their economic or forecasts for the future. What we do know is that the nature of work will change, as it has through the centuries with innovation. We do know that disruption will occur in sectors of the economy, and we should brace for that change and try to harness that change for good. Perhaps AI can see patterns in deadly diseases, fight climate change and explore the universe. We should be as excited as nervous about change, and try to the best of our abilities to shape our society for that coming change.
54 months ago
Newsroom | University of St. Thomas
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33
reskilling AI automation
2025-06-17 14:02:53
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A solid strategy & framework' | Lessons from EY, Microsoft & Mastercard: How to design an effective AI reskilling program
https://www.hrgrapevine.com/us/content/article/2024-05-28-lessons-from-ey-microsoft-mastercard-how-to-design-an-effective-ai-reskilling-program
To transition to the AI era employers must augment any new technology by implementing comprehensive training programs...
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12 months ago
HR Grapevine
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34
reskilling AI automation
2025-06-17 14:02:53
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Written Answer to PQ on Effectiveness of Reskilling Initiatives
https://www.mom.gov.sg/newsroom/parliament-questions-and-replies/2024/1111-written-answer-to-pq-on-effectiveness-of-reskilling-initiatives
NOTICE PAPER NO. 3221 OF 2024 FOR THE SITTING ON 11 NOVEMBER 2024QUESTION NO. 6864 FOR ORAL ANSWERMP: Ms Foo Mee HarTo ask the Minister for...
Written Answer to PQ on Effectiveness of Reskilling Initiatives 11 November 2024 NOTICE PAPER NO. 3221 OF 2024 FOR THE SITTING ON 11 NOVEMBER 2024 QUESTION NO. 6864 FOR ORAL ANSWER MP: Ms Foo Mee Har To ask the Minister for Manpower (a) whether the Ministry can provide an update on the effectiveness of current reskilling initiatives for mid-career professionals in Singapore and (b); whether the Ministry has plans to further enhance the support for such workers in sectors at high risk of displacement from automation and artificial intelligence. Answer: There is a wide range of reskilling programmes that all workers can tap on. Let me mention a few that are more focused on mid-career workers: Workforce Singapore’s Career Conversion Programmes (CCPs) and Mid-Career Pathways Programme (MCPP), and SkillsFuture Singapore’s SkillsFuture Career Transition Programme (SCTP). 2. The CCPs have supported the placement of over 7,000 locals in 2023. The majority of our CCP participants perform well. Approximately nine in ten of participants stayed employed for at least 24 months and seven in ten earned more than their last drawn salary. Earlier this year, we enhanced the CCPs by expanding the eligibility criteria and increasing the salary support caps to further support the reskilling of employees to take on growth job roles within the company. 3. We have also seen positive take-up of the MCPP and SCTP programmes since their launch in April 2022. The MCPP has supported more than 2,100 mid-career individuals through company attachments with more than 1,700 host companies to widen their professional networks and gain meaningful, industry-relevant skills and experience. Likewise, the SCTP has supported more than 5,000 individuals to acquire skills so that they can pivot into sectors with good hiring opportunities. We will continue to review our programmes to ensure they remain relevant to workers. 4. To support workers at high risk of displacement from automation and artificial intelligence, our approach is to provide insights on opportunities in the labour market and equip our workers with the skills to take on good jobs. The Government has launched 17 Jobs Transformation Maps (JTMs) to provide insights on the impact of technology on jobs in specific industries. Three new JTMs, including one on generative AI on the financial services sector, will be launched. With these insights, workers can proactively tap on reskilling initiatives such as the TechSkills Accelerator in the information and communications technology sector or the Technology in Finance Immersion Programme in the finance sector to prepare for jobs of the future and enhance their resilience against tech-driven displacement. 5. To provide greater assurance to displaced workers, we will also be launching the SkillsFuture Jobseeker Support scheme next year to provide them with temporary financial support while they search for roles that better utilise their skills and experience. 6. Tripartite partners will continue to work closely to strengthen the employment resilience of our workforce. Workers must do their part, take the initiative to plan their careers and take deliberate steps to upgrade themselves. Employers will need to press on with business transformation, job redesign and proactively train and redeploy their workers into good jobs.
7 months ago
Ministry of Manpower
data:image/png;base64,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
35
reskilling AI automation
2025-06-17 14:02:53
null
AI disrupts IT testing jobs with automation, but opens doors to new roles | Policy Circle
https://www.policycircle.org/industry/ai-automation-disrupts-it-jobs/
As automation replaces routine IT testing jobs, Indian firms must pivot toward reskilling and AI-driven cybersecurity services.
AI disrupts IT testing jobs with automation, but opens doors to new roles Policy Circle Bureau — May 23, 2025 As automation replaces routine IT testing jobs, Indian firms must pivot toward reskilling and AI-driven cybersecurity services. India’s information technology industry is at a watershed moment. Automation—driven by advances in artificial intelligence, including agentic AI—is rapidly redefining traditional roles and responsibilities. Nowhere is this transformation more visible than in software testing, one of the most structured functions in the software development lifecycle. Unless professionals in this space upskill or pivot, they risk being rendered obsolete. AI-driven tools are taking over repetitive, rule-based testing tasks that were once handled by quality assurance (QA) and quality control (QC) personnel. According to staffing firm Xpheno, about 40% of the testing workforce—comprising test engineers, application testers, QA testers, software test engineers, and QA engineers—perform functions that are now highly susceptible to automation. India currently has around 375,000 professionals employed in testing and QA/QC functions across experience levels, but growth in this talent pool has stagnated, registering under 1% net growth in the year leading up to April 30. According to EY India’s 2025 survey, the integration of generative AI (GenAI) into the country’s $254-billion IT sector is projected to enhance productivity by 43% to 45% over the next five years. This surge is primarily attributed to the internal adoption of GenAI within IT firms and its increasing deployment in client projects. Notably, software development roles are expected to witness a productivity boost of approximately 60%, while BPO services and IT consulting could see improvements of 52% and 47%, respectively. The stagnation stems from hiring patterns that are skewed towards junior roles—those with less than six years of experience. Meanwhile, hiring at mid-to-senior levels has either plateaued or declined, primarily due to companies not backfilling vacancies from natural attrition. The pause is due to a wait-and-watch strategy, according to Kamal Karanth, co-founder of Xpheno. Companies are waiting to gauge the full extent of AI’s impact before making new long-term commitments. The implications are already playing out. IBM has reportedly begun replacing sections of its human resources staff with AI agents to automate routine tasks, with 200 roles phased out so far. DBS Bank has projected that automation may lead to a 10% workforce reduction over three years, potentially cutting 4,000 jobs. But not all roles face extinction. While legacy, execution-based roles are on the chopping block, demand is rising for higher-value roles in test architecture, governance, strategy, consulting, and analytics. According to Neeti Sharma, CEO of TeamLease Digital, the shift is most visible in executing tests and designing frameworks and tools. However, those creating platforms and tools remain immune to automation. Even at IBM, the overall workforce has grown as the company hires more in software engineering, marketing, and sales—domains where creativity, human judgment, and interpersonal skills remain irreplaceable. In effect, the bottom 40% of the testing talent pyramid is under the most pressure. Analysts forecast that most entry-level testing roles could disappear within two to five years as AI tools mature and adoption deepens. For employees, the message is clear: move up the value chain through reskilling—or risk becoming redundant. However, this technological advancement brings challenges. A study by the Indian Institute of Management, Ahmedabad, indicates that 68% of white-collar employees anticipate partial or full automation of their roles within five years, with 40% fearing their current skills may become obsolete. To address these concerns, Indian IT firms are investing in upskilling programs, focusing on areas like AI development, data science, and cybersecurity. This strategic shift aims to transition the workforce from routine tasks to more specialised, high-value roles, ensuring resilience in the evolving digital landscape. Paradoxically, while the testing function is a key contributor to IT companies’ top lines, most firms do not disclose QA/QC revenues as a standalone item. Analysts, however, agree it is among the earliest and most obvious candidates for automation—a “low-hanging fruit” in the digital transformation of IT services. The future of this function likely lies in integration with broader AI coding platforms, led by AI-first firms. Popular tools like Selenium, Cypress, Playwright, and Appium are already reducing engineers’ workload, allowing them to focus on “test strategy” rather than “fixing broken scripts,” as noted in a recent blog by Nasscom, India’s apex IT industry body. Importantly, the AI revolution is not just about disruption—it is also about opportunity. One area of immense potential is AI-powered cybersecurity. As cyber threats grow more sophisticated, the Indian IT and BPM (Business Process Management) sectors are betting on AI to deliver faster, real-time detection and response mechanisms. A Nasscom report underscores that AI’s application in cybersecurity could be a game-changer, enabling Indian companies to offer advanced security solutions globally. With AI algorithms capable of parsing massive datasets and identifying anomalies in real time, these systems are essential to pre-empting and mitigating cyberattacks. Unlike traditional security approaches, AI systems offer proactive threat detection and response—critical in an era of growing digital risk. Yet, the road ahead is not without challenges. The speed of technological change demands relentless reskilling. Companies will need to invest heavily in training programs and foster a culture of continuous learning to ensure employees stay relevant. It’s not just about preserving jobs—it’s about preparing the workforce for the next frontier in India’s digital economy.
3 weeks ago
Policy Circle
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36
reskilling AI automation
2025-06-17 14:02:53
null
AI is going to force millions of workers to train for new jobs. The US has historically been terrible at this.
https://www.businessinsider.com/jobs-ai-chatgpt-career-change-reskilling-tech-training-workers-disruptions-2023-11
The AI boom could necessitate widespread retraining for American workers. The US doesn't have a great track record of executing this.
AI is going to force millions of workers to train for new jobs. The US has historically been terrible at this. By Jacob Zinkula Nov 14, 2023, 3:46 PM UTC The US economy will face a big test in the years ahead — one it has struggled with in the past: helping workers adjust when jobs change or disappear. Emerging generative AI technologies like ChatGPT could eliminate or change the nature of millions of jobs over the next decade. Many knowledge-worker occupations could be impacted, including those in marketing and sales, software engineering, research and development, accounting, financial advising, and writing roles. Even workers in the jobs that remain could eventually become vulnerable. That's because AI could change their work tasks — automating some, tweaking others, and creating entirely new ones. While this landscape could bring opportunities for workers who learn to use new technologies, those who struggle to adapt could be replaced not by AI — but by fellow humans who know how to use it. "AI won't take your job. It's somebody using AI that will take your job," economist Richard Baldwin said earlier this year. Both scenarios point to a growing need for retraining — or reskilling — workers impacted by the coming AI boom. This includes training displaced workers for jobs less impacted by AI and giving others the skills they need to work in one of millions of new jobs that could be created due to these technologies. It also means helping workers develop AI skills in their current roles so they don't get left behind. "Over the long term, labor disruptions could herald an unprecedented demand for reskilling displaced workers and require a significant increase in capacity for retraining," Seth Carpenter, Global Chief Economist for Morgan Stanley, said in a note in early November. Retraining and government safety net programs like unemployment insurance he added, are more likely to help displaced workers than policies like a universal basic income — which some have posed as a solution to AI job displacement. But even if retraining is the solution, executing this transition is easier said than done. The US has seen job displacement before, and the aftermath hasn't always been pretty. Retraining workers in certain age groups and industries can help the US avoid the mistakes of the past In the early 2000s, expanded global trade led to cheaper products for American consumers. But this contributed to the loss of as many as five million US manufacturing jobs and the subsequent economic hardships faced by many communities — particularly smaller cities and towns in the Midwest. When Donald Trump promised to bring back manufacturing jobs before the 2016 election, he was speaking to the Americans who had been left in the lurch. "The mismanaged integration of the United States into the global economy has devastated US manufacturing workers and their communities," the Economic Policy Institute wrote last year, referring to the wave of globalization between 1998 and 2021. Efforts to bring supply chains closer to home have led to a manufacturing uptick in the US in recent years. But many overseas jobs aren't likely to return anytime soon, among the reasons job retraining was — and remains — necessary for impacted workers. If and when AI poses a new disruption to many Americans' jobs, avoiding the mistakes of the past will require significant retraining investments by US companies, schools, and governments, Michael Chui, a partner at the McKinsey Global Institute who has researched the impact of new technologies on businesses, previously told Insider. In the "glass-half-full" scenario, Chui said, retraining could help many workers transition to higher-paying jobs. While the US has far from a perfect track record in navigating economic disruptions, he said he had confidence the US could make the transition. "There was a time when a vast majority of the workers in the United States were involved in agriculture," he said. "And then years later, far more people were working in factories, for instance. But we didn't end up with 50% unemployment. We have historically been able to do this." Young workers, who are more likely to have experimented with technologies like ChatGPT, may have an easier time adapting to the AI future — but extra retraining resources may be needed for older workers. When telephone operators, for instance — then a common profession for women — were automated in the late 19th century, older workers struggled most, Ethan Mollick, an associate professor of entrepreneurship and innovation at the University of Pennsylvania's Wharton School, told Insider. "When you got rid of operators, then basically young women were able to adjust, find new jobs and were a...
19 months ago
Business Insider
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37
reskilling AI automation
2025-06-17 14:02:53
null
Retraining And Reskilling Your Workforce In The Wake Of AI
https://www.forbes.com/councils/forbestechcouncil/2019/06/07/retraining-and-re-skilling-your-workforce-in-the-wake-of-ai/
Artificial intelligence (AI) is changing how we work, and today, many of our tedious and repetitive tasks are being automated.
There is no article content to extract. The provided text appears to be a navigation menu or a list of links from a website, likely Forbes, and does not contain a news article.
72 months ago
Forbes
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38
reskilling AI automation
2025-06-17 14:02:53
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AI skills for all: How IBM is helping to close the digital divide
https://www.ibm.com/products/blog/ai-skills-for-all-how-ibm-is-helping-to-close-the-digital-divide
IBM is going to train two million learners in AI in three years, with a focus on underrepresented communities.
AI skills for all: How IBM is helping to close the digital divide 18 October 2023 Justina Nixon-Saintil VP and Chief Impact Officer IBM Corporate Social Responsibility AI has inspired millions of people around the world with ideas about what it can make possible. But this technological game changer has also provoked a lot of questions around how it will impact the world of work. Change is happening, and fast. Research from IBM’s Institute for Business Value (IBV) finds that executives estimate about 40% of their workforce will need to reskill over the next three years due to AI and automation. Equipping the workforce with the skills to succeed tomorrow is a challenge we must address today. And it’s vitally important that everybody is given equal opportunity to participate and thrive. For that reason, we at IBM recently announced a new commitment to train two million learners in AI in three years, with a focus on underrepresented communities. Equitable access is a priority for us and we’re working to ensure that everybody—including those who have historically been left behind during previous technological advances—are benefiting from and not being excluded from the latest developments in AI. Our free education program, IBM SkillsBuild, makes it possible for learners across the world to benefit from AI education developed by IBM experts to provide the latest in cutting-edge technology developments. IBM SkillsBuild courses are designed to build on each other, so learners can deepen their understanding as they go along. The core, entry-level learning plan is dedicated to “Artificial Intelligence Fundamentals”. This is comprised of six courses that require about 10 hours to complete, after which the learner earns a digital credential. “Artificial Intelligence Fundamentals” introduces learners to the history of AI and explores the ways that AI makes predictions, understands language and images, and learns using Deep Learning, neural networks that attempt to simulate the human brain. People learn by doing, and so the courses in IBM SkillsBuild are designed to be interactive. For instance, in one hands-on simulation, learners build and run a machine learning model with IBM Watson Studio. Beyond the fundamentals, we recently announced a new generative AI roadmap that includes new coursework on Prompt-Writing, Getting Started with Machine Learning, Improving Customer Service with AI, and Generative AI in Action. But AI is not just about being smart with technology, it is also about building trust and developing models responsibly; and so, IBM SkillsBuild also includes coursework on the important topic of AI ethics. At course completion, learners earn IBM-branded digital credentials that are recognized by potential employers. AI features within IBM SkillsBuild enhance the learning experience. AI-powered solutions analyze students’ aptitudes, interests and accomplishments, and then suggest credentials to pursue. When a learner gets started on their educational journey, they will receive an AI-generated, tailored learning path, based on their personal preferences, experiences, and academic level. Meanwhile, chatbots help support learners throughout their journeys. We are also using AI technologies to make IBM SkillsBuild better. AI helps us review feedback from learners and analyze the program’s performance, informing the improvements we make as we continue to develop it. We also work with partners to use AI to analyze market trends, and this helps us be responsive, creating enhanced content that aligns with needs in the job market. In addition to the online courses that are available to everyone, IBM partners with expert organizations around the globe to help expand the reach of our skills training. Having people on the ground is key to making an impact. Our local partners work every day to equip learners from underrepresented backgrounds with the cutting-edge STEM know-how they will need to succeed in the future workforce. They understand the diverse needs and realities of their communities. For instance, in the US, IT Experience works with Black, other minority communities, and women returning to the workforce, to provide them with opportunities to gain experience and reskill — or upskill — in the technology sector. We also work to help refugees: Czechitas, a partner in the Czech Republic, is reskilling people who have fled the war in Ukraine. These are just a few examples. AI has the potential to make work better for everybody—if we get it right. As such, acquiring AI skills will be essential to tomorrow’s workforce. Through IBM SkillsBuild, we hope to make this game-changing technology a tool that works to the benefit of as many people as possible.
19 months ago
IBM
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39
reskilling AI automation
2025-06-17 14:02:53
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As many as 16.2 mn workers in India need to be upskilled, reskilled in AI, automation: Report
https://m.economictimes.com/news/india/as-many-as-16-2-mn-workers-in-india-need-to-be-upskilled-reskilled-in-ai-automation-report/articleshow/104893712.cms
"AI and automation will require 16.2 million workers in India to reskill and upskill while also creating 4.7 million new tech jobs," the report...
As many as 16.2 mn workers in India need to be upskilled, reskilled in AI, automation: Report PTI Last Updated: Nov 01, 2023, 07:37:00 PM IST A recent report highlights a significant need for upskilling and reskilling in the field of Artificial Intelligence and automation in India. This report, conducted by Pearson and commissioned by ServiceNow, indicates that approximately 16.2 million workers require training to bridge the existing skill deficit. New Delhi: As many as 16.2 million workers need to be upskilled and reskilled in Artificial Intelligence and automation to meet India's skill deficit, says a report. According to the study conducted by Pearson and commissioned by ServiceNow, Artificial Intelligence (AI) will transform employment landscape, augment digital skill sets and create millions of new tech jobs. "AI and automation will require 16.2 million workers in India to reskill and upskill while also creating 4.7 million new tech jobs," the report said. India's digital skill ecosystem is also poised to grow in tandem, with ServiceNow's research revealing that additional application developers (75,000), data analysts (70,000), platform owners (65,000), product owners (65,000), and implementation engineers (55,000) will be needed by 2027, to meet the tech deficit. "We're working with every industry across the country to showcase best practice use of AI to drive meaningful business change and ensure these changes bring about meaningful, quality and secure careers for people while also enhancing productivity," Kamolika Gupta Peres, Vice President & Managing Director of ServiceNow Indian Sub-Continent, said. ServiceNow's study predicts that manufacturing will witness the biggest disruption, with 23 per cent of the workforce primed for automation and skill augmentation, followed by agriculture, forestry and fishing (22 per cent), wholesale and retail trade (11.6 per cent), transportation and storage (8 per cent), and construction (7.8 per cent). ServiceNow is investing in India's skill growth with a series of state and national programs to deliver equitable paths to digital careers. The company has announced more than 13 academic partnerships with India-based organisations in the past year. In August, ServiceNow announced its partnership with FutureSkills Prime - a MeitY NASSCOM digital skilling initiative to build a future-ready workforce and address critical business needs. ServiceNow is a leading digital workflow company. Digital workflows automate and manage repeatable tasks.
19 months ago
The Economic Times
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40
reskilling AI automation
2025-06-17 14:02:53
null
Skill shift: Automation and the future of the workforce
https://www.mckinsey.com/featured-insights/future-of-work/skill-shift-automation-and-the-future-of-the-workforce
Developing the workforce of the future depends on how companies adapt to automation and AI.
Skill shift: Automation and the future of the workforce May 23, 2018 | Discussion Paper By Jacques Bughin, Eric Hazan, Susan Lund, Peter Dahlström, Anna Wiesinger, and Amresh Subramaniam Demand for technological, social and emotional, and higher cognitive skills will rise by 2030. How will workers and organizations adapt? Skill shifts have accompanied the introduction of new technologies in the workplace since at least the Industrial Revolution, but adoption of automation and artificial intelligence (AI) will mark an acceleration over the shifts of even the recent past. The need for some skills, such as technological as well as social and emotional skills, will rise, even as the demand for others, including physical and manual skills, will fall. These changes will require workers everywhere to deepen their existing skill sets or acquire new ones. Companies, too, will need to rethink how work is organized within their organizations. This briefing, part of our ongoing research on the impact of technology on the economy, business, and society, quantifies time spent on 25 core workplace skills today and in the future for five European countries—France, Germany, Italy, Spain, and the United Kingdom—and the United States and examines the implications of those shifts. All technological skills, both advanced and basic, will see a substantial growth in demand. Advanced technologies require people who understand how they work and can innovate, develop, and adapt them. Our research suggests that through 2030, the time spent using advanced technological skills will increase by 50 percent in the United States and by 41 percent in Europe. The need for finely tuned social and emotional skills will rapidly grow. Accompanying the adoption of advanced technologies into the workplace will be an increase in the need for workers with finely tuned social and emotional skills—skills that machines are a long way from mastering. In aggregate, between 2016 and 2030, demand for social and emotional skills will grow across all industries by 26 percent in the United States and by 22 percent in Europe. There will be a shift in demand toward higher cognitive skills. Our research also finds a shift from activities that require only basic cognitive skills to those that use higher cognitive skills. Demand for higher cognitive skills, such as creativity, critical thinking, decision making, and complex information processing, will grow through 2030, by 19 percent in the United States and by 14 percent in Europe, from sizable bases today. The need for most physical and manual skills will decline, but they will remain the largest category of workforce skills. The demand for physical and manual skills has been declining for 15 to 20 years, and this decline will continue with automation. Between 2016 and 2030, demand for these skills will fall by 11 percent overall in the United States and by 16 percent overall in Europe. We looked at skill shifts in more detail in five sectors. This analysis highlights many similarities in changing patterns of skills requirements but also some variation. For example, while social and emotional skills will be in growing demand across all five sectors, the need for basic cognitive skills will decline in banking and manufacturing, stay flat in healthcare, and only fall back slightly in retail. To harness the new technologies to their full effect, companies will need to retool their corporate structures and their approaches to work. That change will require redesigned business processes and a new focus on the talent they have—and the talent they need.
84 months ago
McKinsey & Company
data:image/jpeg;base64,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
41
reskilling AI automation
2025-06-17 14:02:53
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SA jobs — growth, disruptions and skills revolution forecast
https://www.dailymaverick.co.za/article/2025-02-04-growth-disruptions-and-skills-revolution-forecast-for-sa-jobs/
As artificial intelligence, automation and climate change reshape global employment, South Africa's job market is set for dramatic shifts by...
SA must scramble to reskill the workforce, align education with AI, automation and climate change The World Economic Forum's Future of Jobs Report 2025 is projecting major technology fuelled transformations in the global job market with predictions that a net 78 million new jobs will be created by 2030. By Lerato Mutsila and Takudzwa Pongweni 04 Feb 2025 As artificial intelligence, automation and climate change reshape global employment, South Africa’s job market is set for dramatic shifts by 2030. While millions of jobs will disappear, new opportunities in green energy, AI and healthcare will emerge. But is South Africa prepared? With skills gaps, education misalignment and rising unemployment, urgent action is needed to reskill workers and adapt higher education for the future. Five years from now, South Africa’s existing job market is likely to look far different as artificial intelligence (AI), automation, economic shifts and climate change are set to reshape employment patterns and the skills required to hold down a job. This is according to the World Economic Forum’s Future of Jobs 2025 report, which relied on data from more than 1,000 of the world’s leading employers in 55 countries, including South Africa. The report found that by 2030, the global job market will face disruptions that will result in 92 million jobs becoming redundant but will also create 170 million new roles that will drive transformation. This will result in a net gain of 78 million jobs worldwide. South Africa can mitigate job displacement and tap into new employment opportunities if the government and private sector prioritise reskilling the workforce, transforming education and innovating policy. Out with the old, in with the (somewhat) new In addition to highlighting the jobs expected to experience rapid growth in demand, the Future of Jobs report also sheds light on the fastest-declining roles. The report brings good news for frontline roles such as farmers, delivery drivers and construction workers, which are poised to experience the largest job growth by 2030. The demand for care roles is also set to increase as demographics change. Growing ageing populations and an increasing number of young people will necessitate more healthcare professionals to care for the elderly and educators to teach and prepare the youth for the world. Climate-related roles are among the fastest-growing jobs, driven by the need for renewable energy engineers, environmental specialists and sustainability consultants. This bodes well for South Africa, with the country’s commitment to the Just Energy Transition creating opportunities for green jobs. Jobs driven by technology, the green economy and demographic shifts: Conversely, more traditional jobs like bank tellers, cashiers and data entry clerks have been projected as the fastest-declining jobs between 2025 and 2030. Jobs most impacted by automation, AI and digital access: Is South Africa ready for these job changes? As technology continues to advance and digitalisation increasingly disrupts the job market, the public and private sectors in South Africa need to increase their efforts in upskilling both the youth and existing workers while ensuring that the education system aligns with how the job market is changing. Having surveyed several businesses operating in South Africa, the study found that 60% of employers identified skills gaps as a key barrier to business transformation. “With jobs such as AI and Machine Learning Specialists and Robotics Engineers on the rise, companies are planning to upskill employees and hire talent with new skills to meet evolving business needs,” the report found. According to the Institute of Information Technology Professionals South Africa’s (IITPSA’s) ICT Skills Survey 2024, the Critical Skills List (CLS), which highlights which jobs are desperately needed in South Africa’s job market, shows a disconnect between the ICT skills available and the skills required in the country. This has led employers to recruit skilled workers from other countries. With a high unemployment rate (32.1% in 2024), the situation could worsen if displaced workers are not reskilled and the youth are not equipped with the necessary skills to confidently enter the job market. Speaking to Daily Maverick, Youth Capital’s Clotilde Angelucci said that skills development is something her organisation has been championing for years, particularly for young people. “We have the infrastructure in place. We have the TVET system and structures like NSFAS, the Presidential Employment Stimulus and other public employment programmes, but we are not leveraging them correctly. These can be used and we’ve seen them being used, to bridge the digital divide. But they can also be used for training in new sectors, whether it’s climate resilience, conservation projects, or energy, and then using them to promote skills matching within the environment of small businesses where these programmes take place,” she added. Angelucci noted that while we have the infrastructure in place, funding for public employment programmes is continually being cut, adding that one of the biggest programmes, the Basic Education Employment Initiative, did not run at all because funding from UIF was not unlocked. “At this point, it’s about finding alignment between the vision and how we are going to implement this vision,” Angelucci said. Adapting South African universities A vast body of research underscores the critical role that education plays not only in improving individual life outcomes but also in contributing to broader societal progress. Higher education, in particular, equips individuals with the skills and knowledge needed to innovate, contribute to the workforce and drive economic growth. “Nothing could have prepared me for the pain and uncertainty I’m experiencing right now. Waking up each day to apply for jobs, only to receive multiple rejection emails or no responses at all, is incredibly disheartening. I don’t want to discourage those just starting their university journey, but there’s this notion that a degree is a guaranteed ticket to success. The reality, though, is that many of us end up qualified but still unemployed.” These are the words of a 26-year-old who spoke to Daily Maverick on condition of anonymity. The student has a Bachelor of Education in Intermediate Phase Teaching from Nelson Mandela University and has been unemployed for two years. South Africa’s youth bear the heaviest burden of the country’s alarmingly high unemployment rates. While higher education typically offers better economic prospects, graduate unemployment has increasingly become a cause for concern. The combination of a fiercely competitive labour market, increasing university fees, the rise of alternative online learning options and the rapid evolution of job roles has shifted the perceived value of university degrees. In this new landscape, higher education alone may no longer be enough to secure a stable career. In fact, the Future of Jobs 2025 report found that to expand their talent pool and improve skills matching, 34% of companies operating in South Africa plan to remove degree requirements, creating more accessible pathways to emerging jobs. Studies show that South African universities continue to produce graduates who excel academically but are often underprepared in the soft skills that employers increasingly prioritise. These include adaptability, communication and emotional intelligence. Additionally, other studies have shown that the skills acquired by graduates often do not match the needs of employers. This issue is further exacerbated by a lack of practical work experience, especially for graduates from programmes that focus heavily on theoretical knowledge. In today’s competitive job market, many employers now require work experience even for entry-level positions, putting recent graduates at a considerable disadvantage. If South Africa’s higher education sector continues along its current path, it risks deterioration. This was a key finding in Alternative Futures for Learning and Teaching in Higher Education in South Africa: Scenarios for 2036. Published in 2024, the report is part of a broader initiative by the Council on Higher Education, known as the REconceptualising Learning and Teaching (RELATE) Project. A core aspect of this transformation is the integration of disruptive technologies into university curricula. The rise of automation, artificial intelligence...
4 months ago
Daily Maverick
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42
reskilling AI automation
2025-06-17 14:02:53
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Banks Must Invest in Reskilling Their Workforces to Seize AI-driven Growth Opportunities, Accenture Report Finds
https://newsroom.accenture.com/news/2018/banks-must-invest-in-reskilling-their-workforces-to-seize-ai-driven-growth-opportunities-accenture-report-finds
Banks invest in artificial intelligence (AI) and human-machine collaboration at the same rate as top-performing companies do, they could boost revenues by 34...
May 02, 2018 # Banks Must Invest in Reskilling Their Workforces to Seize AI-driven Growth Opportunities, Accenture Report Finds Stronger commitment to AI could boost revenues 34 percent and employment 14 percent by 2022 NEW YORK; May 2, 2018 – Although bank leaders recognize that intelligent technologies are reshaping the core banking process and can transform customer experiences, few plan to significantly increase investments in reskilling their workforces to enable these technologies in the near-term, according to a report by Accenture (NYSE: ACN). Based on two surveys – one of 100 banking executives and another of 1,300 non-executive bank employees – the report, “[Future Workforce Survey - Banking: Realizing the Full Value of AI](https://www.accenture.com/us-en/insights/banking/future-workforce-banking-survey-unrestricted "Future Workforce Survey - Banking: Realizing the Full Value of AI"),” estimates that if banks invest in artificial intelligence (AI) and human-machine collaboration at the same rate as top-performing companies do, they could boost revenues by 34 percent and raise employment levels 14 percent by 2022. “As AI becomes more nuanced, its role in banks is moving beyond automation to elevating human capabilities,” said Alan McIntyre, a senior managing director at Accenture and head of the company’s Banking practice. “To benefit from the potential of AI, banks need to implement ‘applied intelligence’ – combining technology and human ingenuity – across all areas of their core business. To achieve this, they will need commitment from the highest levels of leadership and an understanding that this evolution will require a dramatic change in their workforce.” According to the report, 76 percent of the 100 senior executives surveyed said that intelligent technology will be critical to their organization’s market differentiation, and 39 percent believe it will be behind every innovation they implement in the next three years. While banks recognize that getting human-machine collaboration right is critical, few have acted to unlock the value that lies at the intersection of people and intelligent machines. For instance, bank executives believe that only one in four of their employees, on average, is ready to work with AI. Further, only 3 percent of the executives said their organization plans to significantly increase its investment in reskilling their workers in the next three years. “Banks’ lack of commitment to upskilling and reskilling employees to learn how to collaborate with intelligent technologies will significantly hinder their ability to deploy and benefit from them,” McIntyre said. “The only way for banks to benefit from applied intelligence is by ensuring that the data and systems are managed to be fair, transparent and accountable – and people are essential to training machines to achieve this ‘responsible AI.’” More than one-quarter (28 percent) of the 1,300 non-executive bank employees surveyed said they work with intelligent technologies more than half of their workday. Overall, the employees are optimistic about the impact of AI; two-thirds (67 percent) believe it will improve their work-life balance, and more than half (57 percent) expect it will expand their career prospects. The research suggests that there is a strong foundation on which to boost AI skills investment. Two-thirds (67 percent) of the senior banking executives believe that their company will create net job gains in the next three years through AI. “Banks – indeed, all financial services firms – have work to do before they can even determine how best to employ intelligent tools,” said Andrew Woolf, Talent & Organization lead for Accenture’s Financial Services practice. “They can start by building an enterprise-wide strategy focused on applied intelligence, reimagining how work is done today and determining what steps they need to take to move to a state of advanced collaboration, where humans help AI to help humans.” Learn more about Accenture Banking at [www.accenture.com/banking](https://www.accenture.com/banking "www.accenture.com/banking"). **Methodology** “[Realizing](https://www.accenture.com/futureworkforce "Realizing") the Value of AI” is based on two surveys: one of 100 senior banking executives, and another of 1,300 non-executive bank employees across skill levels. Accenture combined quantitative and qualitative research techniques to analyze the attitudes and readiness of workers and business leaders with regards to collaborating with intelligent technologies. The surveys were conducted between September and November 2017 in 11 countries: Australia, Brazil, China, France, Germany, India, Italy, Japan, Spain, U.K. and the U.S. The research also included economic modelling to determine the correlation between AI investment and financial performance, in-depth interviews with C-suite executives and ethnographic interviews with individuals who have been working with AI. **About Accenture** Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions – underpinned by the world’s largest delivery network – Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With approximately 442 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at [www.accenture.com](https://www.accenture.com/ "www.accenture.com"). Authors: Alan McIntyre, Andrew Woolf
85 months ago
Accenture
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reskilling AI automation
2025-06-17 14:02:53
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Reskilling schemes benefit workers, employers and governments
https://www.europeanceo.com/industry-outlook/reskilling-schemes-benefit-workers-employers-and-governments/
Around the world, approximately 66 million workers are at a high risk of being displaced by automation and artificial intelligence (AI) in the coming years,...
## Reskilling schemes benefit workers, employers and governments ### Artificial intelligence is set to disrupt the global labour market, creating a cavernous skills gap and displacing millions of employees. Reskilling workers will play a crucial role in the technological transformation #### Author: **Courtney Goldsmith** #### Publication date: Not specified Around the world, approximately 66 million workers are at a high risk of being displaced by automation and artificial intelligence (AI) in the coming years, a 2018 report by the Organisation for Economic Cooperation and Development (OECD) found. This ‘highly automatable’ category represents around 14 percent of jobs in the 32 developed countries involved in the study, with another 32 percent set to face ‘significant’ changes due to automation. Taken together, this means nearly half of the global workforce will be impacted by the adoption of new machine-learning technologies. Automation has undeniably provided businesses with numerous benefits, from improving efficiency to cutting costs. It is now apparent, though, that without the right precautions in place, replacing humans with robots will exacerbate a growing skills crisis and result in mass technological unemployment. Reskilling programmes, while costly, will be essential in helping close the skills gap and ensuring at-risk employees are not left behind. Fortunately, there is still much that machines cannot do. Recreational therapists, mechanical supervisors and social workers, for example, were highlighted as having a very low chance of being replaced by automation in a 2013 paper entitled [_The Future of Employment: How Susceptible are Jobs to Computerisation?_] Executives are increasingly realising the looming skills crisis requires urgent action. The report, which was written by University of Oxford researchers Carl Frey and Michael Osborne, and has subsequently been built upon by organisations such as the OECD and willrobotstakemyjob.com, outlined three skills that cannot be easily automated: creative intelligence, such as improvisation or problem-solving; social intelligence, including situational judgement or care and emotional support; and the perception and manipulation of the world around us, such as a sense of time and space. However, Frey and Osborne also predicted that 47 percent of all US jobs were at a high risk of being handed over to AI in the next decade or two. According to the OECD, the jobs with the highest probability of replacement involve routine tasks and low skill requirements, including manufacturing, agriculture and some service jobs. But the widespread nature of technological advances means numerous sectors – from finance to medicine – face some level of disruption. The highly educated are not immune, either. In fact, Ed Abbo, President of C3.ai, an enterprise AI software and development company, told _European CEO_ that even the most intelligent individuals will have to spend “a significant amount of time investing in continuous education”. According to Abbo, reskilling poses a “daunting” challenge to employers, but executives are increasingly realising that this looming crisis requires urgent action. What’s more, he believes business leaders have an acute level of awareness when it comes to the complex web of issues presented by automation. For instance, a 2017 survey by management consultancy McKinsey & Company found that 62 percent of executives at large companies believe they will have to retrain or replace more than a quarter of their workforce between now and 2023 due to advances in automation. Technology consultants at Gartner, meanwhile, estimated that 64 percent of managers don’t think their employees will be able to keep pace with future skills needs. Strikingly, only 20 percent of employees were found to have the skills they needed for their current job and future career. “The real value from automation comes from augmenting human productivity with technology – not replacing humans,” Jonathan Wyatt, Managing Director and Global Head of Digital at consulting firm Protiviti, told _European CEO_. “To succeed in the digital age and to achieve this vision, you need a digitally literate workforce.” Retraining workers would help to manage both the widening skills gap and the imminent advances in robotics, but it is a complex and expensive task. “Whether workers lose their job as a result of automation or have to adapt to new tasks and job content, the challenge for adult learning systems is considerable,” the OECD report said. Ensuring that retraining programmes reach the people who need them most will be key. For instance, the OECD found that lower-skilled and younger workers would be disproportionately affected by automation displacement. Older workers, meanwhile, would face “more difficult transitions”, due to having lower participation rates in adult learning programmes. Across OECD countries, around 40 percent of workers currently participate in job-related training, but this varies considerably from one country and socioeconomic group to another: on average, only 17 percent of low-skilled workers across these countries received training. “The training challenge is amplified by the fact that the risk of automation [is] not distributed equally among workers, making existing differences in access to training even more problematic,” the OECD report said. Directing training programmes towards the right people is not the only implementation challenge: they also come with a huge price tag. In the report [_Towards a Reskilling Revolution: Industry-led Action for the Future of Work_], researchers from the World Economic Forum (WEF) concluded that it would cost around $34bn to reskill the 1.44 million US workers at the highest risk of losing their jobs to automation within the next decade. That works out, on average, to approximately $24,800 per worker. All of these hurdles have kept many organisations from establishing retraining initiatives. According to the WEF’s report: “A large percentage of companies across most industries still have not made significant investments in reskilling and upskilling programmes.” Instead, many are searching for new employees who already have the skills they need. “The majority of organisations are focusing on recruitment and replacement as the primary means of developing new competencies with the assumption that corporate knowledge is easier to learn than new capabilities,” Wyatt said. “This assumption may not necessarily be true.” In fact, the WEF found that there is a “compelling financial and non-financial business case for companies and governments to reskill at-risk workers”. Of the 1.44 million US workers expected to be displaced by automation in the coming decade, the WEF estimated that 95.3 percent could be transitioned into new positions with similar skills and, in some cases, higher wages. The report recommended companies take a three-pronged approach to investment in order to prepare for both the short and long-term implications of automation: reskilling at-risk workers, upskilling the broader workforce, and building an environment for continuous learning within the business. One incentive employers have for investing in retraining programmes is the risk of losing unengaged employees. This is due to the fact that reskilling opportunities are highly sought after by workers: as Boston Consulting Group found in its report, employees and jobseekers often value learning and training opportunities above job security, financial compensation and completing interesting work in their day-to-day job. “An engaged workforce is crucial in order for the digital transformation of the business to happen,” Wyatt said. “The most significant cost [of] not upskilling your workforce is the inevitable slow decline of the business as it loses market share or suffers a squeeze on margins if it is not able to take advantage of the latest technological advancements.” A number of companies have taken the plunge to establish their own reskilling schemes. Retail giant Walmart’s programme, the Walmart Academy, was launched in 2016 and had trained 720,000 associates in advanced retail skills, leadership and change management by the end of 2018. Abbo said there are other companies taking a very proactive and effective approach to reskilling. For example, he cited a handful of C3.ai’s energy and utility clients across Europe – including Royal Dutch Shell, Enel and ENGIE – as some of the firms that are successfully reshaping their workforces as they adopt new technologies. Sweden’s job security councils are another positive example. The councils, which are established through collective agreements and financed by employers, aim to ensure displaced workers are assisted in adapting to new situations and do not become demoralised. The schemes help both white and blue-collar workers by providing guidance to jobseekers, as well as offering consultation to employers and trade unions, and delivering tailored transition services. As a result, Sweden has the highest rate of re-employment in the OECD, with around 85 percent of displaced workers finding themselves re-employed within a year. But while the OECD concluded that the “unique Swedish model works well”, it is not easily replicable in many other countries because it is facilitated by a “long-standing tradition of collaboration between the social partners to share responsibility for restructuring”. Although the Swedish Government has remained largely absent in legislating for displaced workers, other countries’ policymakers are leading the charge on reskilling. In France, for example, employees over the age of 16 are given easier access to gaining new skills through personal training accounts, known as _compte personnel de formation_ (CPF). Through these accounts, workers accrue hours to use on training courses with guaranteed paid leave from work. According to the European Centre for the Development of Vocational Training, nearly 500,000 requests to use CPF hours were approved in 2016, up 139 percent from the previous year. Of these, 65 percent came from jobseekers and 35 percent came from employed workers. The most popular courses included exams to acquire language and information technology (IT) certificates. Singapore’s SkillsFuture initiative, meanwhile, aims to develop an education and training system for every citizen – no matter how old – that will foster a culture of lifelong learning. The programme, which is overseen by the government’s Future Economy Council, offers citizens over the age of 25 a credit worth SGD 500 to use for a wide variety of training courses. Those over the age of 40 can also receive subsidies of up to 90 percent on training costs. According to _The Straits Times_, Singapore’s small and medium-sized enterprises have been eligible to apply for a SkillsFuture grant worth up to SGD 10,000 to cover the majority of the cost of training employees since July 1, 2019. The subsidy could reduce the cost of sending an employee on a training course from SGD 2,000 to SGD 60, the newspaper calculated. According to its own research, in 2018, about 465,000 Singaporeans and 12,000 enterprises benefitted from SkillsFuture training subsidies. Despite these signs of encouragement, too many businesses still fail to make reskilling a priority. “For a lot of organisations out there, [retraining is] an expense that is the first thing to get cut when a squeeze hits,” said Rod Flavell, founder and CEO of FDM Group, an international professional services company that trains graduates, individuals who have taken a gap in their career and ex-military personnel as consultants. Yet the benefits of reskilling are clear. The WEF found that it is in the financial interest of businesses to take on part of the cost of reskilling, with a $4.7bn investment from the private sector capable of reskilling a quarter of all US workers in disrupted jobs at a profit. Significantly, however, even more workers could be reskilled with a positive cost-benefit balance if the public and private sectors were to team up. The WEF report said: “We find that this balance sheet could be significantly extended further through public-private collaboration, such as a pooling of resources or combining of similar reskilling efforts, leading to economies of scale and lowering reskilling costs and times.” In fact, the WEF found that nearly half of the at-risk workforce could be profitably reskilled by businesses if employer-led efforts improved cost and time efficiency by 30 percent. Furthermore, a $19.9bn investment by the government could reskill 77 percent of workers while generating a positive return in the long term.
65 months ago
European CEO
data:image/png;base64,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
44
reskilling AI automation
2025-06-17 14:02:53
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IBM: AI will necessitate employees to reskill in the next 3 years
https://hrme.economictimes.indiatimes.com/news/industry/ibm-ai-will-necessitate-employees-to-reskill-in-the-next-3-years/102917251
40 per cent of workers will need to reskill due to artificial intelligence (AI) and automation over the next three years.
IBM: AI will necessitate employees to reskill in the next 3 years According to the World Economic Forum (WEF), the AI evolution will disrupt 85 million jobs globally between 2020 and 2025 and create 97 million new job roles, thereby necessitating about 40 per cent of the global workforce to reskill in the next three years, as IBM stated in its recent report. Online Bureau Published On Aug 22, 2023 at 09:20 AM IST About 40 per cent of workers will need to reskill due to artificial intelligence (AI) and automation over the next three years, which translates to 1.4 billion of the 3.4 billion people in the global workforce, a new study has shown. According to tech major IBM, about 87 per cent of executives said that job roles to be augmented, rather than replaced, by generative AI. More than three in four executives said entry-level positions are already being impacted, while only 22 per cent said the same for executive or senior management roles. Only 28 per cent of CEOs have assessed the potential impact of generative AI on their current workforce. As AI continues to evolve, its effects will likely intensify across the board, including at the managerial and executive ranks. No level is immune to the impact. This will force executives to rethink job roles, skill sets, and how work gets done, the study said. According to the World Economic Forum (WEF), this evolution will disrupt 85 million jobs globally between 2020 and 2025 -- and create 97 million new job roles. It also predicted that 44 per cent of workers' skills will be disrupted between 2023 and 2028 -- up nine percentage points from its last five-year projection. Moreover, the experts identified three key priorities that can help them elevate employees and gain a competitive edge: 1. Transform traditional processes, job roles, and organisational structures to boost productivity and enable new business and operating models, 2. Build human-machine partnerships that enhance value creation and employee engagement, and 3. Invest in technology that lets people focus on higher-value tasks and drives revenue growth. By Online Bureau, IANS Published On Aug 22, 2023 at 09:20 AM IST See more on: ibm, world economic forum, wef, AI, International, Reskilling, Global HR, Jobs, Workforce
21 months ago
Indiatimes
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45
reskilling AI automation
2025-06-17 14:02:53
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Automation in retail: An executive overview for getting ready
https://www.mckinsey.com/industries/retail/our-insights/automation-in-retail-an-executive-overview-for-getting-ready
The future of work in retail automation has arrived. Executives should prepare for the impact of automation and AI technologies across all...
The future of work in retail automation | McKinsey Automation in retail: An executive overview for getting ready May 23, 2019 Automation will reshape retail business models and the broader value chain, creating organizations with fewer layers and a better trained and trusted workforce empowered by real-time data and analytics. The winners in the sector will be those who understand these implications and act quickly to address them. By Steven Begley, Bryan Hancock, Thomas Kilroy, and Sajal Kohli Retail is under pressure. Margins are stressed from all sides: higher costs to manage e-commerce supply chains, growing demands from suppliers to pass on raw-material cost inflation, higher investments to match new competition, and steadily rising labor costs. At the same time, the customer’s expectations continue to surge as digital natives and disruptors alike raise the bar for personalized service—on the back of what, at times, is an advantaged cost structure. As retailers struggle to adapt, and even to survive, they increasingly pursue automation to address margin strain and more demanding customer expectations. Automation, however, is a new capability for all but digital natives, and the sophistication in approach varies accordingly. Over the past three years, the McKinsey Global Institute has conducted a broad-based research initiative on automation across sectors. This research has shown that about half of the activities in retail can be automated using current, at-scale technology. While this number is alarming, the change will be less about job loss and more about the evolution of jobs, the creation of new ones, and reskilling. Only about 5 percent of all jobs can be fully automated with current technology, and automation will lead to the creation of jobs as companies invest in growth. In our work in the retail sector, we see automation reshaping business models and the broader value chain. Let’s start with four new realities we observe among retailers. 1. Margin pressure has made automation a requirement, not a choice 2. The bottleneck to automation is internal, not external 3. If you aren’t already implementing automation, you are falling behind 4. The automation opportunity is bigger than operations Much of the discussion about the future of work in retail has focused on the use cases for automation and AI in stores. However, supply-chain and headquarter functions (such as merchandising) will also be affected massively. To fully unlock the benefits of this technological transformation, extensive adopters of automation and AI are exploring more agile ways of working. Structurally, this means shifting from strict hierarchies and siloed functions; instead, “teams of teams” are built around end-to-end accountability, with flexible resources that improve work flow. These teams are empowered with real-time data, and decisions are purposefully decentralized to cultivate a bias to action. As the demand for physical and manual skills declines, the need for technological skills, as well as social and emotional ones, will rise quickly in every sector, including retail. Faced with the skill gap created by the future of work, retailers have three options to acquire talent: hire new employees, outsource to gig workers and external partners, or reskill current workers. While hiring may appear to be an ideal solution, the rapid growth of technology companies and the digitization of incumbents have diminished the available skill pool. Companies report that an inability to source talent is the main reason for delaying digital transformations, and this is hardly surprising; we estimate that digital skills are available in only half the needed quantity and agile skills in only a quarter. Retailers therefore cannot assume that hiring and outsourcing will bridge the skill gap, and this leaves a mandate to reskill employees. Although reskilling takes a good deal of effort, it often offers a higher return on investment, in the longer term, than hiring; in fact, the business case for reskilling can be 1.5 to three times better. On average, replacing an employee can cost 20 to 30 percent of an annual salary, reskilling less than 10 percent. Reskilling existing employees also allows a retailer to retain institutional knowledge and saves the ramp-up time needed to onboard new hires. Furthermore, reskilling is more likely to earn goodwill from employees, customers, and governments alike. This goodwill can have tangible benefits; approximately 40 percent of transformations fail because of employee resistance, so a reskilling campaign can mitigate that risk. For these reasons, we believe that reskilling will be a large part of the answer for retailers. Across industries, global executives agree: 75 percent of those surveyed say reskilling will provide at least half of the solution for the skill gap. Employers will play a leading role in helping workers to reskill, but collaboration with external partners will also be necessary.
72 months ago
McKinsey & Company
data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAkGBwgHBgkIBwgKCgkLDRYPDQwMDRsUFRAWIB0iIiAdHx8kKDQsJCYxJx8fLT0tMTU3Ojo6Iys/RD84QzQ5OjcBCgoKDQwNGg8PGjclHyU3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3N//AABEIAEIAeAMBIgACEQEDEQH/xAAbAAACAwEBAQAAAAAAAAAAAAAAAQQFBgIHA//EADoQAAEDAwEGAwMKBgMAAAAAAAEAAgMEBREhBhITMUFRFCJhYnGBByMkQlJykaGx0RUyM7LB8TRDU//EABkBAQADAQEAAAAAAAAAAAAAAAIAAQMEBf/EAB4RAQEAAgIDAQEAAAAAAAAAAAEAAhEhMQMSQTIz/9oADAMBAAIRAxEAPwDyJCELquWEIXJc0HBIGe5UrukKTb7fV3Ko4FBTyTyYyQzk0dyToB6khaqDZSjtzI33J77hVPOBS05McTT7UnMj3AfFQ56qUO7J0NFV3CoFPQU01RMfqRMLiPU9h6nRaag2Pp45mR326sglfp4ajAmkb9538rfzWhgjqXU3hsx0dLnSlohw2H7x5uPvXZp4KGLLWxRkYIaTgnVMwftll5fmJRa/5MGVFH4jZq5Pq5Q0k0tVGGueR0a4aZ9CB71525rmPcx7XNc0kOa4YII5gjoV69spfqhl6hhY0Og3t7HYDXOViflQlpJtt7jUUTgY5S17sDHnxg/pn4oaTLXy1HePPdlkJ4QtApuE0JpBGAhNNPVL4IQtrsbsrHO2C53Mb8ZIfDTdHjoXenp/pc0l1RdlNj5LqxtZcOJDRnWNrdHy+vo3169O69AtP8GsczKMspIWvB+jO3SZm7pzkHV3LrlXUEArKaV9ICyojH9Mnyu93bsqiegtldaq251VG91xowGRyF+OHvOwRgHnoQc55jHVV3Q5o8j6SBj22+nho6QvLhFC0MYD3wFTVtypGzE+Z5B03TjVQKOhvNykfTAY4TXOy9+A4DXT1WZdeIgMwxOeSObjha7Dgj6C7bUyXaeTSLELfTn+Kp71Wy01MXQvYZCR/OefuCo57nVS6cTcHZgx+fNRMkneOrj1PVUqnEgDotRs5UXvw9S6muVtgc7yyipkETgCCR5sYboDoSD2VNe7ZWW+r4dxcz53zR1LXF8Uw+0x7Qd4ajlyyFP2loLRTw0Bo6WSLxdFHUb3iTJw3O1wcjUjB5Ec8kaYUG510ddDSM8O1slNC2Hj8i9rc4y0aDn+QWWJk8TycaE9pa9zTzDiNEkJroCyYATQmmFUIXQQlqlL2ZtLr1d4qUA8JvzkzuzBz/HQfFei3W8QWupp6dtFPU7zXbrYn7rcAYOca6bzcdPeo+w9qdbbXvuZipqcPkzzDfqt+H6kqyvdVS2+PL2h1Q8eVvXHqe3NcfbqQ7aLRbaCF8wdQSQ5YWhocXHe6HOAMemPiqqsuwqoz4dr4w5xyXOyX6nU9uZ5aHnoqmqq2vqcyyxse/lvODQAugWtYNxzSO4OVrjiDxPqtrTeX2+qEshLm43T7uq85YN1jR2ACurxWt4ZgiflxPmI7dlTqnljC6jY6WQRxNc955NaMk/BWuzthlvs8rI52QtiDS9zmlx1zjA+B6r0WzW9lkbFFDJI90Xm3mkRbx9oMA3viSVNfKL6m2y23VA6mtGy+5RyQg275xrmEFr97UO9r9lkHscxwbI1zXFocA4Yy06g+4r2h89VLVGd9bXhpOeHFVvY0fh/nKq9o7f/AB90Pjaqt4cLQGxmpL2l2uX4Om8c9MK8ccizfLheVJrQbS2KC0wQywSSP337pDyNNMqgC1ChkZGyAugEAJphXCS6Qnqq9erK1lro3TuxxHeWNnc/ssFdLg7MlVUOL5HHr1PZWN8uBr6172k8JnljHp3+Kx9zqePPutOWM0HqepXCFuHqUaWR80jpJDlxXGB2QmrhCaEJBS2vyZf17j92L9Xra1WlQB7Kw3ycVMMFVWslljY+Rse41zgC7G9nH4hbaud9Ibj7H+VeP6j5f53f1V83jRIOJCTytbierJ7dsPg6Z2NONjOfZKxoC2e3JBoKfnnjj+1yxqQXR4vxCYQE0wnCEwhPVK5lJET8fZKzaSF51vnCYQhIhNNCEoxgEahTKevrRBuCrqA1hw0cV2GjTkhCRU9UiG4Vu+PplRz/APV37qfLW1ef+VPyH/YU0JwQoNxqJpadrZJpHt4gOHOJGcFQAkhMrx6ugmhC0K5hNCEypv/Z
46
reskilling AI automation
2025-06-17 14:02:53
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The future of work: Reskilling and remote working to recover in the ‘next normal’
https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-future-of-work-reskilling-and-remote-working-to-recover-in-the-next-normal
Organizations need to invest in effective long-term remote-working foundations, revamp their upskilling and retraining approaches, and adopt an agile approach.
The future of work: Reskilling and remote working to recover in the ‘next normal’ July 7, 2020 | Article By Raphael Bick, Eric Hazan, Hamza Khan, Sébastien Lacroix, Hugo Sarrazin, and Tom Welchman Organizations need to invest in effective long-term remote-working foundations, revamp their upskilling and retraining approaches, and adopt an agile approach to strategic workforce planning. The COVID-19 crisis has forced many companies to rethink their business models at breakneck speed. While remote working was already gaining currency before the crisis, the pandemic and the step-change in use of videoconferencing globally has shown that remote working, where possible, is here to stay. 60 percent of occupations have at least 30 percent of constituent work activities that could be automated by 2030, globally. Businesses have had to quickly embrace remote working in the crisis context—companies that systematically address the resulting challenges can turn remote working into a competitive advantage. Already, at a time when many companies are having to furlough/lay off employees, we see many others ramping up recruiting, urgently looking for workers to meet rising demand for certain products and services. Advances in technologies such as cloud computing and online collaboration tools have enabled remote working in many jobs that once required in-person interactions. Until recently, however, only a few companies—mainly in the technology sector—had fully embraced remote working. The tragic context of the COVID-19 pandemic has accelerated this shift as many companies around the globe are instructing staff to continue working from home and are racing to develop their remote-working capabilities. China, which felt the first impact of the pandemic, was an early mover in this space. Working from home sky-rocketed and by February 2020, around 200 million people across China were working remotely. Even before the current crisis, AI, automation, and other technologies were already creating major shifts in required workforce skills. In 2017, our scenarios suggested that by 2030, up to 375 million workers (14 percent of the global workforce) would have to switch occupational categories. However, new jobs will be created that could more than offset displacement of workers by 2030. But these new jobs will require specialized skills. Demand is expected to grow for new technological skills as well as for social and emotional ones, while demand will decline for activities that require mainly physical, manual, and basic cognitive skills. Our recent findings show that although 87 percent of executives said they were experiencing skill gaps in the workforce or expected them within a few years, only 28 percent said their organizations were making effective decisions on how to close that gap. Before the pandemic crisis, some major organizations had started launching ambitious upskilling and reskilling efforts to prepare for the future of work. For example, Amazon pledged $700 million to retrain 100,000 employees for higher-skilled jobs in technology; JPMorgan Chase made a five-year, $350-million commitment to develop technical skills in high demand; and Walmart has already invested more than $2 billion in wages and training programs. The coronavirus crisis has made the need to address skills gaps even more urgent. While near-term upskilling efforts may need to focus on enabling effective remote working, longer-term reskilling efforts will need to be more holistic—and address issues across strategy, skills, and social responsibility. Let’s start with strategy. Leaders must set their strategic vision and determine if they can use new technologies to gain a competitive advantage. The divergence of local economies will affect patterns of consumer purchasing power and labor costs—companies may need to adjust their offerings and geographic footprint in response. Turning to skills, our research indicates that 82 percent of global executives at companies with more than $100 million in annual revenues expected that upskilling and reskilling current employees would be at least half of the answer to addressing their skills gap. To acquire scarce talent, particularly well-educated and digitally fluent professionals, companies also need to develop creative ways of identifying unconventional candidates. With the pandemic crisis, many companies had to stop part of their activities and had a large number of employees to redeploy into other roles. Companies also started to leverage digital talent marketplace platforms to bridge the supply-demand mismatch. Last but not least is the imperative of social responsibility. Organizations will need to consider the impact of their decisions on the communities in which they operate. In the context of the COVID-19 crisis, many companies are already responding by announcing measures, such as pay cuts for leading executives or revised dividends, as a gesture of solidarity with their employees. Companies that build the muscle to continuously and rapidly adapt their models and workforces to changes will be able to compete better in the “next normal.” As operating models evolve quickly to accommodate a rapidly changing environment, the key is adopting an agile, iterative approach to strategic workforce planning. Our recent research showed that smaller organizations are often more successful at reskilling their workforces—partially driven by the fact that they can and do follow agile principles. With the accelerating adoption of AI and automation, and the rise in new ways of working, reskilling was already a priority for many organizations. The crisis has accelerated the trend as businesses have to quickly embrace remote working. It is more important than ever before to undertake reskilling at scale. And to maintain resilience for the future, organizations would also benefit from adopting an agile approach to strategic workforce planning.
59 months ago
McKinsey & Company
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47
reskilling AI automation
2025-06-17 14:02:53
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Upskilling India for the future workforce
https://www.peoplematters.in/article/skilling/upskilling-india-for-the-future-workforce-41838
India's strategic upskilling initiatives are essential to bridge the skill gap and thrive in the evolving global employment landscape driven by automation...
Upskilling India for the future workforce
11 months ago
People Matters - HR News
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reskilling AI automation
2025-06-17 14:02:53
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Mastering Communication: Acquire Future Skills in the Age of AI
https://hr.economictimes.indiatimes.com/news/industry/mastering-communication-acquire-future-skills-in-the-age-of-ai/113381135
According to a report by the World Economic Forum, over 50% of all employees will need reskilling by 2025 as the adoption of technology...
Mastering Communication: Acquire Future Skills in the Age of AI Recently, ETHRWorld and Pearson organized a roundtable discussion on “Mastering Communication: Acquire Future Skills in the Age of AI.” The discussion highlighted the essential role of effective communication in an AI-driven world and emphasized the importance of maintaining strong interpersonal skills. Updated On Sep 16, 2024 at 02:37 PM IST The rapid integration of automation and AI technologies across various sectors is projected to displace 85 million jobs while creating 97 million new roles by 2025. According to a report by the World Economic Forum, over 50% of all employees will need reskilling by 2025 as the adoption of technology increases. As AI continues to evolve, it is imperative for individuals to upskill themselves to meet the demands of an AI-driven future. Those who master the art of communication will not only navigate this transformative era successfully but also lead their teams towards unprecedented innovation and collaboration. The rapid integration of automation and AI technologies across various sectors is projected to displace 85 million jobs while creating 97 million new roles by 2025, highlighting both opportunities and challenges. Acquiring relevant skills through communication is vital for personal and professional development in this dynamic, technology-driven environment. To address these areas, ETHRWorld and Pearson organized a roundtable discussion on “Mastering Communication: Acquire Future Skills in the Age of AI.” This discussion highlighted the essential role of effective communication in an AI-driven world and emphasized the importance of maintaining strong interpersonal skills. Key Highlights: - Reskilling Imperative: Over 50% of employees will need reskilling by 2025 due to AI advancements. - Job Market Shift: AI is projected to displace 85 million jobs while creating 97 million new roles by 2025. - Soft Skills Shortage: 81% of companies in the Asia Pacific region struggle to find talent due to a lack of communication skills. - Critical Leadership Skills: ... Authors: Not specified Publication Date: September 16, 2024
9 months ago
ETHRWorld.com
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49
reskilling AI automation
2025-06-17 14:02:53
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Australian workers see automation as path to career growth
https://itbrief.com.au/story/australian-workers-see-automation-as-path-to-career-growth
Most Australian workers see automation as a pathway to career growth, with 60% keen to reskill if their jobs become partially automated,...
Australian workers see automation as path to career growth Thu, 22nd May 2025 By Shannon Williams, Journalist Research indicates that most Australian workers view automation as a chance for career advancement rather than a threat to job security. Independent research conducted by Robert Half found that 49% of Australian employers plan to automate processes and reskill or upskill their employees, while 35% intend to hire staff with artificial intelligence (AI) or automation skills. Only 4% of employers expressed no immediate plans to automate, and 13% were considering automation but had not yet finalised their approach. The findings suggest that the majority of employers see the adoption of automation as an opportunity to address current labour market challenges, such as the shortage of skilled professionals. According to the report, 55% of employers who plan to automate cited increasing efficiency and productivity as a prime motivator. Bridging the skills gap was identified by 46%, followed by cost saving (44%), shifting resources to strategic initiatives (43%), and reducing human error (39%). Nicole Gorton, Director at Robert Half, commented on the broader implications of these findings for both organisations and employees. "The widespread adoption of automation is undeniable," she said. "Companies plan to embrace automation to streamline processes, increase efficiency, and help bridge the skills divide to combat the talent shortage in the current labour market. Positively, workers don't see automation as a threat, but as an opportunity to upskill and enhance their career prospects." The survey found that 60% of employees would participate in training to reskill if their job became partially automated. When asked specifically how they would respond if their job was partially automated and reskilling was required, 60% indicated a willingness to train for a new role with their current employer. A further 14% said they would look for a different role within the same company, and 19% would seek a new job at another organisation. On the overall impact of automation on their careers, 63% of employees said they expect automation to have a positive effect, such as increasing demand for their skills and improving their career outlook. Another quarter, 26%, believed automation would have no impact on their job or prospects, and 11% anticipated a negative effect, citing concerns that automation might render their roles or skills obsolete. Gorton also addressed the strategic approach employers are taking as they plan for an increasingly automated workplace. "Employers are focused on building a future-ready workforce, and successful adaptation, by both organisations and employees, is key to making that happen. Organisations that invest in developing their teams' skills to navigate automation and digital transformation are best positioned to stay competitive. For professionals in roles centred on manual tasks, such as data entry, scheduling, or document processing should prioritise upskilling to futureproof their career and increase their market value," she said. Just under two in five (39%) employers stated that introducing automation would involve reviewing their workforce, with some roles potentially being phased out due to changes in the nature or scope of work. Yet, the report emphasises that automation efforts are not being driven solely by a desire to reduce costs or headcount. "Unlike the perception, automation is not just about cutting costs," Gorton stated. "It's about optimising resources, reducing errors, and freeing up employees to focus on more strategic and fulfilling work. Embracing automation allows companies to create a more efficient and productive work environment, while also providing opportunities for employees to develop new skills and advance their careers." Results of the survey suggest a generally optimistic workforce in Australia, with most employees expressing willingness to adapt to change and take advantage of upskilling and reskilling opportunities provided by their employers. "Employees today are willing to join their employer on the journey to automation," said Gorton. "The key takeaway for businesses is to proactively invest in reskilling and upskilling initiatives to ensure their workforce is equipped to thrive in an automated future. Not only will this provide employers with the skilled workers it needs but those that invest in their employees' development and provide opportunities for reskilling will also be rewarded with a loyal and engaged workforce." The research was commissioned by Robert Half and conducted among 500 hiring managers and 1,000 full-time office workers across various sectors including finance, accounting, business support, IT, and technology in Australia. Respondents included personnel from small and medium-sized enterprises as well as large private, publicly-listed, and public sector organisations.
4 weeks ago
IT Brief Australia
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
50
reskilling AI automation
2025-06-17 14:02:53
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Closing The AI Skills Gap: A Strategic Blueprint
https://www.forbes.com/councils/forbestechcouncil/2025/06/17/closing-the-ai-skills-gap-a-strategic-blueprint/
AI is moving rapidly, and the longer companies and governments delay their training investments, the greater the risks become.
Russell Sarder, CEO & Founder of AI CERTs™ – advancing global AI certification & education. https://aicerts.ai gettyAI is revolutionizing businesses worldwide, and could add as much as $13 trillion to the global economy by 2030, according to a McKinsey report. But there is one critical challenge: 76% of companies say they can’t find enough workers with the right AI skills.This emerging skills shortage is not only a business issue, but also an economic crisis. While companies are ready to move forward with AI technologies, they are being held back, not by the technology itself, but by the shortage of skilled people. The outcome? Without proper training, even the best AI systems can fall short, costing companies opportunities, slowing growth and making it harder to stay competitive.A Workforce At A CrossroadsAI is rapidly growing, with global investments expected to surpass $631 billion by 2028. Yet, even as the technology races forward, workers are unprepared to leverage it.Take Harry, for example—an experienced, tech-savvy sales professional. While he understands the technology, he doesn’t know how AI could help him in his work. While he understands the idea of AI, he doesn’t know how to use it to make a real difference.This problem is not unique to Harry, it’s everywhere. A Deloitte report found that while AI use has jumped to 270% over the last four years, 54% of company executives believe their workers don’t have the skills needed to effectively use it. The technology is ready, but people are not.If Harry had the right training, he could make smarter decisions, come up with better strategies and provide faster results. The opportunity is huge, but without investment in learning, it stays out of reach.The High Price Of AI Without TalentBusinesses rushing to implement AI are learning a hard lesson: technology alone isn’t enough—people make the difference. For example, a retailer rolled out AI to optimize its inventory, but the lack of employee training hampered its ability to effectively leverage AI, and improving operations failed. 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); Employees had the technology, but they didn’t have the knowledge and training to make it work. The challenge extends to countries as well. The Global Connectivity index shows that nations that are prepared for AI adoption are growing 2.4 times faster than those that aren’t.China understands this and is heavily investing resources into AI education to keep its workforce ahead in the digital economy.Bridging The AI Skills Gap: A Call to ActionAccording to a Randstad report, 75% of businesses are using AI, but only 35% of workers received AI training last year. The Wall Street Journal reports that 25% of US technology jobs now asks for AI skills—a 68% jump since ChatGPT launched, highlighting the growing demand for AI expertise.Demand for AI skills is growing fast, but training is not keeping up. The answer is targeted training based on specific job roles across industries. According to the World Economic Forum, the U.S. and China are leading in AI education investments. To stay competitive, governments and businesses must work together to offer more AI learning programs and certifications to equip workers, ensure their economic growth and close the AI divide.Traditional Education and Corporate Training schools and company training programs aren’t moving fast enough to keep up with AI. A 2025 survey by Continu found that while 82% of business leaders are aware of the importance of AI skills, only 38% of companies offer AI-specific training. In addition, less than 10% of universities across the globe have incorporated AI into their courses, according to UNESCO.The result is that workers may have AI tools around them but don’t know how to use them. Generic training isn’t enough. Today’s workers need hands-on, role-specific learning that prepares them to implement AI in their routine tasks.A Blueprint For Closing The Skills GapFor Businesses: • Skill Assessments: Use platforms like LinkedIn Talent Insights to identify skills gaps and training needs.• Tailored Certifications: Offer certifications tailored to roles such as data scientists, engineers and AI strategists.• Targeted Training: Deliver hands-on, scenario-based training that bridges the gap between theory and application.• Continuous Learning: Embed a culture of continuous learning to keep employees updated with fast-changing AI technology.For Governments: • AI Literacy: Integrate AI learning across K-12 and higher education to arm future generations with basic AI skills.• Forge Partnerships: Collaboration between the government and private sector to design and scale impactful training programs.• Provide Incentives: Offer financial incentives and subsidies for AI certifications to expand access and encourage participation.AI Success Stories: Nations Leading the WayCountries like Finland and Singapore have been at the forefront of AI education, with Finland’s “Elements of AI” initiative reaching over 750,000 learners worldwide, while Singapore’s Smart Nation initiative is integrating AI into its national curriculum.By focusing on AI education early at all levels, these countries are setting the next generation up to succeed in an AI-driven world. These efforts have enabled these countries to build workforces that are gaining AI skills, resulting in a professionally skilled ecosystem where innovation can thrive.The Clock Is Ticking: Act Now Or Fall BehindAI is moving rapidly, and the longer companies and governments delay their training investments, the greater the risks become. Waiting means falling behind not just in technology, but losing any competitive edge. The message is clear: those who invest now will be the leaders of tomorrow.Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
2 hours ago
Forbes
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1
AI skills gap
2025-06-17 14:02:56
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UK minister gives workers ultimatum to close AI skills gap or lose relevance
https://www.cryptopolitan.com/uk-minister-warns-against-ai-skills-gap/
A UK minister has issued a warning to workers to adapt to the fast growing AI technology or risk being left behind in the evolving job...
UK minister gives workers ultimatum to close AI skills gap or lose relevance By Enacy Mapakame Updated: June 14 2025 1:50 PM UTC 3 mins read 746730 A UK minister has issued a stern warning to workers in the country to adapt to the fast-growing AI technology or risk being left behind in the evolving job market. The warnings come amid the government’s push to make the UK a global leader in AI tech and innovation. At the same time, AI technology, despite its transformative abilities, is also seen as a threat to workers due to forecasts of job losses as businesses automate operations, leaving millions out of employment. UK to train 7.5 million workers in AI by 2030 According to The Guardian, technology secretary Peter Kyle called on workers and businesses to embrace AI technology, stressing the urgent need to “act now” to stay relevant in the market. Kyle, this week, met with tech industry bosses to deliberate on an initiative to train 7.5 million workers by 2030. The figure represents a fifth of the overall workforce in the UK. UK government wants to close the skills gap According to Kyle, there seems to be a generational gap in AI, where individuals above 55 years of age utilize AI half as much as the over-35 demographic. Given this scenario, Kyle indicated the need to close the gap. He suggested simple training on basic AI, which should take just two and a half hours of training only. “People don’t need to get trained in quantum physics,” said Kyle. “They need to get trained in the basics of how AI works, how to interact with it, and to explore all of the potential it has for you as an individual in the workplace.”
3 days ago
Cryptopolitan
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2
AI skills gap
2025-06-17 14:02:56
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UK tackles AI skills gap through NVIDIA partnership
https://www.artificialintelligence-news.com/news/uk-tackles-ai-skills-gap-through-nvidia-partnership/
The UK is cementing its position as Europe's AI powerhouse through partnerships with players like NVIDIA to tackle issues like the skills...
UK tackles AI skills gap through NVIDIA partnership
1 week ago
AI News
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3
AI skills gap
2025-06-17 14:02:56
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AI skills shortage more than doubles for UK tech leaders
https://www.theregister.com/2025/05/19/ai_skills_shortage_more_than/
Highest recorded jump in skills gap for more than a decade, recruiter finds ... The number of UK tech leaders reporting a dearth in AI skills has...
AI skills shortage more than doubles for UK tech leaders Highest recorded jump in skills gap for more than a decade, recruiter finds Lindsay Clark Mon 19 May 2025 / 10:36 UTC The number of UK tech leaders reporting a dearth in AI skills has more than doubled in the last year, according to research. A survey by tech recruitment specialist Harvey Nash found that around half UK tech leaders (52 percent) say they are suffering an AI skills gap in the past year, compared with 20 percent who said the same the year before. The survey took in responses from 2,015 technology/digital leaders globally — including 924 in the UK — which took place between December 2024 and March 2025. Harvey Nash and its owner, Nash Squared, found the perceived AI skills shortage was the steepest, biggest jump in any technology skills shortfall recorded in more than a decade. The recruiter said that in "the previous 16 years that Nash Squared/Harvey Nash has tracked technology skills shortages, the next biggest reported jump in the UK was a shortage in Big Data skills, with a jump of just 55 percent. Even with cyber skills, for which demand continues to grow, the increase in scarcity has been gradual – rising from 12 percent [of respondents saying they were short of that skill] in 2009 to 30 percent this year." At the same time, the top echelons of IT management might be in for a pay boost if they have managed to get AI on the business agenda. Harvey Nash found more than half of UK tech leaders had a salary rise in the last year, but four in ten did not get one. It also found tech leaders achieving a pay rise of 10 percent or more were more likely to have a large-scale implementation of AI and more likely to be increasing tech headcount compared to the rest of the pack. They were also more likely to have a CEO that is significantly more focused on technology-making versus saving money for the organization (77 percent compared to the 63 percent UK average.) The number of UK tech leaders reporting a dearth in AI skills has more than doubled in the last year, according to research by Harvey Nash. A survey found that around half of UK tech leaders say they are suffering an AI skills gap, compared to 20 percent the previous year. The survey took responses from 2,015 tech leaders globally, including 924 in the UK, between December 2024 and March 2025. The recruiter found the perceived AI skills shortage was the steepest jump in technology skills shortfall recorded in over a decade.
1 month ago
The Register
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4
AI skills gap
2025-06-17 14:02:56
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AI isn’t taking your job; the big threat is a growing skills gap
https://www.computerworld.com/article/4006931/ai-isnt-taking-your-job-the-big-threat-is-a-growing-skills-gap.html
Despite tech layoffs, AI talent remains scarce, slowing adoption and driving wages up through 2027.
AI isn’t taking your job; the big threat is a growing skills gap by Lucas Mearian Senior Reporter Jun 16, 2025 Despite sizeable tech layoffs over the past two years, a tech talent gap persists — especially for those trained on implementing and using generative artificial intelligence (genAI) tools. Consultancy McKinsey & Co. now projects that demand for AI-skilled workers will outpace supply by two-to-four times, a skills gap likely to continue at least until 2027. The good news? Pay for AI skills continues to increase, growing 11% a year since 2019, according to Bain & Co. Workers with AI skills such as prompt engineering command a 56% wage premium, suggesting the value they bring. PwC said its data “does not show job or wage destruction from AI,” it shows growth across AI-exposed roles — even highly automatable ones. AI is boosting expertise, allowing workers to take on higher-level tasks. Key AI skills in short supply include prompt engineering, programming, and bias handling. Just as vital are soft skills such as adaptability, critical thinking, and emotional intelligence to ensure responsible, ethical AI use. Companies navigating this increasingly competitive hiring landscape need to take action now, upskilling existing teams, expanding hiring strategies, and rethinking ways to attract and retain AI talent. The first response to the skills gap is to take an honest assessment of your organization and align AI projects with core business goals. Success in high-demand tech careers starts with in-demand certifications, real-world experience, and soft skills. Ultimately, high-performing teams are built through agile, continuous training that evolves with the tech.
1 day ago
Computerworld
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5
AI skills gap
2025-06-17 14:02:56
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As tech secretary calls on older workers to embrace AI, what can firms do to prevent staff getting left behind?
https://www.peoplemanagement.co.uk/article/1922174/tech-secretary-calls-older-workers-embrace-ai-firms-prevent-staff-getting-left-behind
Just two and a half hours of training could help close skills gap, according to Peter Kyle, but commentators say his statements...
As tech secretary calls on older workers to embrace AI, what can firms do to prevent staff getting left behind? Just two and a half hours of training could help close skills gap, according to Peter Kyle, but commentators say his statements ‘oversimplify’ the issue by Isabel Jackson 17 June 2025 Technology secretary Peter Kyle has urged businesses to “act now” on embedding artificial intelligence in their organisations and train employees to utilise the emerging tech, following the announcement of a new partnership with the private sector to deliver AI skills training. In comments made to the Guardian, Kyle warned that if companies did not train staff in AI skills, people risked being “left behind”. “That’s what worries me the most,” he added. In particular, Kyle was wary of a generational gap in the use of AI, with over 55s using the technology half as much as over 35s. However, the problem could be solved in just two and a half hours of training, he said. “People don’t need to get trained in quantum physics,” he continued. “They need to get trained in the basics of how AI works and how to interact with it, and to explore all of the potential it has for them as an individual in the workplace.” Kyle’s comments followed a meeting held last week with companies including Amazon, Google and Microsoft to discuss plans to train a fifth of the UK’s workforce in essential AI skills by 2030. However, Sarah Hamilton-Gill, founder and managing director of Globus HR Consulting, said more training provision would not solve this issue on its own. “This statement massively underestimates both the problem and the opportunity,” she said, highlighting that this was not a “too old to learn” problem, but rather there was a “confidence and context gap” that needed closing. “It’s not because older professionals are lazy or ‘technophobic’, but because they’ve been burned by years of irrelevant training,” she added. “They’ve watched tech come and go without practical impact and no one has shown them how AI actually helps them do their jobs better.” HR consultant Kelly Venkiah agreed, saying that while the technology secretary’s claim that the AI skills gap between the generations can be closed with just two and a half hours of training made for a “strong headline”, it risked oversimplifying the issue. “The gap isn’t solely about access or knowledge. It’s about confidence, mindset and how people experience technology in the context of their roles, responsibilities and previous exposure,” she said, explaining that, having grown up with digital tools, younger generations often engaged with emerging technologies more “fluidly”, while older generations tended to take a more cautious approach. Despite this, Venkiah added that employers must be careful not to stereotype: “Many over 55s are highly engaged with AI, while plenty of younger professionals still feel overwhelmed by the pace and purpose of AI tools in the workplace.” How can employers tackle the intergenerational AI skills gap? Kyle’s comments follow a trial of AI in the civil service, where more than 20,000 civil servants were given access to the technology for three months, using it for tasks such as drafting documents, summarising emails, updating records and preparing reports. Results showed that using tools such as Microsoft 365 Copilot saved staff an average of 26 minutes per day – the equivalent of nearly two weeks per year, per person. Following the trial, the government has rolled out a new AI tool, known as Humphrey, across the civil service. So how can employers harness similar benefits, without leaving any of their workforce behind? Rob Baker, founder of HR consultancy Tailored Thinking, told People Management: “There’s a tendency to think that training is the magic wand here, but it’s more helpful to think in terms of energy, opportunity and understanding when it comes to change and transformation.” He advised employers to take action to create an environment where workers were supported by managers to experiment with AI and where they “feel energised to try something new”. “Rather than focusing on simply delivering tools and training, we need to think about how we create and sustain a learning and experimental mindset within people and across organisations,” Baker added. Meanwhile, Hamilton-Gill stressed the importance of offering “real training” rather than “tick-box webinars”, suggesting employers use real-world use cases and practical demonstrations and offer employees a safe space to experiment with the technology. She encouraged companies to “embed” AI in the way they worked, allowing for learning to take place through conversations within the workforce. “Let senior staff lead by example instead of pretending they’ve ‘got it’ when they don’t,” she said. Ultimately, people professionals should be aware that over 55s are not the problem, she added: “They’re the untapped opportunity if you give them tools and trust – not patronising shortcuts.”
2 hours ago
People Management
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6
AI skills gap
2025-06-17 14:02:56
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Skills gap: Are unis keeping up with AI demand?
https://www.hcamag.com/au/specialisation/hr-technology/skills-gap-are-unis-keeping-up-with-ai-demand/539277
As businesses rapidly embrace artificial intelligence, universities are under pressure to help meet workforce demands for skilled graduates.
Skills gap: Are unis keeping up with AI demand? HRD spoke with a student and professor to debate AI upskilling in universities BY Ben Cartwright 17 Jun 2025 As businesses rapidly embrace artificial intelligence, universities are under pressure to help meet workforce demands for skilled graduates. HRD spoke with Simon Buckingham Shum, Professor of Learning Informatics at University of Technology Sydney (UTS), who acknowledged that education providers need their “finger on the pulse” before fully enacting change. “We’re giving students clearer guidance on how AI can be used in their work and we’re bringing in industry leaders to come in and tell students how technology can be used,” he said. “This is a huge transition for everyone – so it’s our job to give people confidence to learn and use the tools. We have a policy where AI can’t be banned for the whole course, it’s no longer realistic.” UTS have created a custom ChatGPT function, called ‘Qreframer’, to encourage critical thinking and ensure students learn more about – because AI in its current form, it weakens education. “AI is undermining learning,” Buckingham Shum emphasised, “and it’s the same reason we don’t give power tools to babies – they can harm themselves. Using just AI on its own doesn’t ensure students understand what they’re being taught. We have to navigate this carefully.” The demand for new skills in the workplace is quickly outpacing availability, with stats from business consultant PwC suggesting AI is redefining job roles faster and faster - with AI-exposed jobs changing 66% faster than other jobs. The findings of its The Fearless Future: 2025 Global AI Jobs Barometer report also show the skills sought by employers are changing in the face of more AI-automated roles - particularly in the education sector. AI changing expectations in universities Much like in the workplace, universities are changing their expectations when it comes to how AI can be used to enhance workflows – being described as a “powerful thinking partner.” Buckingham Shum – who is also director of UTS’ Connected Intelligence Centre – concluded that universities are moving more towards teaching work-appropriate skills and thinking instead of unnecessary content. “If a student is learning how to fly these tools right to the limit of their ability, that's what they're going to need to do to compete in the workplace. But on top of that, there need to be something that gives you the edge over another candidate applying for the same job - that's where critical thinking, ethical thinking, comes into play.” “That's what we're talking about. We're talking about fluency. Now we're in a transitional phase. You know, no university has got this nailed yet, but that's the journey we're on,” Buckingham Shum concluded. Managing change in education There are concerns, however, that the digital transformation of universities isn't happening quickly enough. HRD spoke with a university student, who also works as a talent development manager in Melbourne, studying at university, who said AI isn't generally spoken about. “It’s almost like a taboo because it implicates cheating and unfairness amongst students. People are being put back because of it," they said. The student highlighted that this lack of upskilling is hampering job opportunities, urging educators to “accept AI like employers do.” “If we’re not being taught how to use it, it puts you at a disadvantage for when you actually get a job. A lot of people will feel like they’ll have to retrain when they go into work, so it makes it really hard.” It was highlighted that universities and education providers need to become more comfortable with AI – focusing on what needs to be taught to futureproof students instead of what has been taught in the past. “When I did my bachelor of business 10 years ago,” the student noted, “We were learning about excel and how to compile reports. You just don’t need that anymore, so it’s not taught. AI needs to be at the centre of teaching now.” Meeting the need for digital transformation In its submission into the Federal Governement's recent inquiry into the Digital Transformation of Workplaces, the peak body for higher education, Universities Australia said universities offered a range of degrees, micro-credentials and higher degree courses in AI. "Australian universities aim to produce graduates who are familiar with and competent in using AI and other technologies," it wrote. "They have a role in fostering digital and AI literacy among students and, as outlined, are already undertaking a range of activities to embed these skills in students and staff. "Students and researchers need to know how to recognise, understand, use/apply, evaluate,create, and navigate AI safely and ethically. Lecturers develop these skills in their students in a variety of ways, for example, by directing them to create ChatGPT prompts for content relevant to the subject, and then helping them evaluate the result."
7 hours ago
HRD America
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7
AI skills gap
2025-06-17 14:02:56
null
AI skills shortage surpasses big data, cybersecurity
https://www.ciodive.com/news/AI-skill-shortage-adoption-enterprise/750106/
Scarcity of AI skills jumped from 2023, marking the steepest rise Nash Squared has ever recorded.
AI skills shortage surpasses big data, cybersecurity The gap in AI skills is accelerating drastically as enterprises rush to deploy the technology, according to the Nash Squared/Harvey Nash Digital Leadership report published in May. The company surveyed more than 2,000 technology leaders. Published June 10, 2025 By Roberto Torres, Editor ### **Dive Brief:** The gap in AI skills is accelerating drastically as enterprises rush to deploy the technology, according to the Nash Squared/Harvey Nash Digital Leadership report published in May. The company surveyed more than 2,000 technology leaders. More than half of IT leaders say their companies suffered from an undersupply of AI talent, up from 28% in the previous edition of the report, published in 2023. AI know-how went from being the sixth most scarce technology skill to the No. 1 in 16 months, marking the fastest increase in more than 15 years. Nine in 10 respondents said their companies were piloting or investing in AI use, up from 59% in the 2023 report. Despite the rise, more than two-thirds of leaders said they had not yet received a measurable return on investment from the technology. ### **Dive Insight:** Deploying AI has long been an enterprise need, with executives hoping to plug automation into key processes in search of productivity wins. Despite ambitions, a large swath of projects remain stuck in the experimental phase. Several roadblocks stand in the way of full-fledged adoption, including data deficiencies and financial constraints. A looming skills gap has also dampened enterprise AI plans. "As AI is so new, there is no ‘playbook’ here," said Bev White, CEO of Nash Squared, in the study announcement. "It’s about a mix of approaches including formal training where available, reskilling IT staff and staff outside of the traditional IT function to widen the pool, on-the-job experimentation and knowledge sharing and transfer. This needs to coincide with the development of a new operating model where AI is stitched in." The two-year, 23-percentage-point jump for AI skills was the steepest increase for a specific skill recorded by Harvey Nash since it first began tracking this metric 16 years ago. A dearth of AI talent was reported by the majority of leaders across several sectors, including education, logistics, manufacturing, business services and pharmaceuticals. Enterprise AI ambitions have steadily driven up AI workforce demand, widening talent gaps. Job site Indeed tracked a significant spike in generative AI job postings in January, which nearly tripled year over year, according to a February report.
6 days ago
CIO Dive
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8
AI skills gap
2025-06-17 14:02:56
null
By the numbers: Use AI to fill the IT skills gap
https://www.techtarget.com/searchcloudcomputing/infographic/By-the-numbers-Use-AI-to-fill-the-IT-skills-gap
The success of AI initiatives hinges on tech investment and closing the widening IT skills gap.
By the numbers: Use AI to fill the IT skills gap By Kathleen Casey, Site Editor Published: Jun 11, 2025 According to the '2025 AI Skills Report' by Pluralsight, 65% of organizations had to abandon AI projects due to a lack of AI skills. Don't be another statistic; invest in your staff. AI is easily accessible for enterprises of all sizes. However, just because it is available doesn't mean your staff are prepared to use it. Without upskilling and staff involvement, AI projects might end up dead on arrival. AI is well known to stoke employee fear of being replaced in the workplace. According to the "2025 AI Skills Report" by Pluralsight, 34% of tech professionals feel that it is extremely or very likely that they will be replaced by AI. However, that hasn't slowed workplace adoption -- the same report found that 84% of executives and IT professionals say using AI has made their lives easier. IT pros can use AI in various areas, including the following: * AI cloud services management. * Data modeling and analysis. * Task automation. * Data library and software framework management. * Retrieval-augmented generation. * Natural language processing. AI's success within the organization hinges on creating a collaborative journey with staff. According to "Winning the AI Race" by Great Place To Work, three out of four employees said they would be excited to use AI at work if their company were more transparent about how AI could improve their workflow. They are also very interested in being trained on AI tools. By investing in comprehensive upskilling programs, enterprises can bridge the knowledge gap and empower employees to use AI tools effectively. Kathleen Casey is site editor for SearchCloudComputing. She plans and oversees the site, and she covers various cloud subjects, including infrastructure management, development and security.
5 days ago
TechTarget
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9
AI skills gap
2025-06-17 14:02:56
null
Continuous Learning: How Agencies Are Chipping Away at the AI Skills Gap
https://fedtechmagazine.com/article/2025/05/continuous-learning-ai-skills-gap-perfcon
AI‑powered learning tools let federal employees upskill fast, tailoring courses to close the AI talent gap and keep agencies ahead in...
# Continuous Learning: How Agencies Are Chipping Away at the AI Skills Gap AI-enabled learning platforms tailor lessons for federal employees. by Adam Stone Adam Stone writes on technology trends from Annapolis, Md., with a focus on government IT, military and first-responder technologies. May 22 2025 AI-enabled learning platforms deliver the proper training in the proper format to federal employees looking to keep their skills current in an age of digital government. These platforms tailor content to the learner and help close vital skills gaps in government. Ironically, the rise of AI created some of the very skills gaps agencies are trying to fill, and the technology offers them a path forward. Government increasingly relies on digital tools, and the pace of change creates urgency around continuous learning. “Technology is moving at a pace that we’re not going to be able to keep up with a more traditional approach, where you do your one training every five years, you’re certified and you can be done worrying about that particular problem,” says Chris Hein, public sector field CTO at Google. “The federal workforce is going to have to be capable of staying up to date on some of the latest changes,” Hein says. “This is going to require a bit of a rethink on some of the traditional ways that we both hire and train folks.” The advent of AI is speeding up that need. “Unlike any other technology that we’ve implemented across the government, we’re not going to see a plateau,” says Shane Shaneman, senior AI strategist at NVIDIA Federal. “Things are not slowing down.” AI becomes an enabler of doing that training at scale, across all the people who need to be trained, across all those the topics and at the right level of personalization.” Wole Moses Chief Artificial Intelligence Officer, Microsoft Federal Civilian Across the public and private sectors, there exists a shortage of people who know how to bring AI to life. Additionally, the government lacks end users. “The risk is that the government won’t be able to keep up with the expectations that citizens have from how they use technology in their personal lives,” says Wole Moses, chief artificial intelligence officer at Microsoft Federal Civilian. Strategic concerns factor in as well. “There’s a geopolitical risk, if we want to make sure that we stay competitively ahead of other countries in the way that we use technology,” Moses says. And agencies risk falling short of the current demands around government efficiency if they can’t ramp up their AI skills. “AI offers tremendous advantages around productivity,” Moses says. “If we aren’t using those tools, there’s the risk that we are not operating optimally.” “The gap is not necessarily that much bigger in the federal government than it is everywhere else because of the fact that AI overall is really new,” Hein says. “It is incredibly important that the U.S. government has the ability to understand what these models are, the actual underlying technology of what we’re creating.” AI-enabled platforms for continuous learning can help agencies to close the gap around AI and a host of other skills. “Training can be based on an individual’s skills or their abilities or their responsibilities,” Shaneman says. “That curriculum can be personalized based on their performance and their goals.” An AI-customized curriculum meets employees where they’re at, rather than being one-size-fits-all. In a personalized learning system, the AI “should be able to understand what I need to do next, based on my usage of previous learning enablement modules,” Hein says. “Some of those goals might be top-down — the agency saying, ‘I need my workforce capable of doing this.’ Some of them might be self-directed.” AI also delivers learning at scale, which is a pressing need in government. “The scale issue is in the sheer number of people that need to be trained and the sheer number of potential topics they need to be trained on, as well as the dearth of people who are available and qualified to do that training,” Moses says. “AI becomes an enabler of doing that training at scale, across all the people who need to be trained, across all those the topics and at the right level of personalization.” Pacing is an important feature of AI-enabled learning that helps drive efficient and effective learning. “Do I need a constant drip of information?” Hein says. Formatting is a second key feature. “Am I going to be better served learning through video or just reading through some documentation?” Hein says. “It can adjust that for each individual learner, based on what they’ve been successful on in the past.’ Another significant benefit is the ability of these platforms to deliver real-time feedback, with dynamic content that adjusts to the individual’s progress. “The content can be adjusted, based on how they’re doing at the various progress checks,” Shaneman says. Plus, these platforms are nonjudgmental. “You can ask the same question 10 times, and the platform won’t get annoyed,” Moses says. “It’ll just continue to stay on an even keel and answer your questions.” For skills-building in support of career development, Goole’s Career Dreamer offers a “fun” way for employees to determine the skills they need to reach the next level, Hein says. Career Dreamer walks the user through potential career progressions and the necessary learnings. And Google is working to expand similar AI-supported learning capabilities. NVIDIA delivers the backbone that supports AI-driven learning platforms. “It’s the AI-enabling infrastructure: chips, systems and software,” Shaneman says. Meanwhile, Microsoft recently launched an initiative that leverages AI-enabled training in support of workers who want to build up their own AI skills. For technologists, Microsoft Learn is an AI-enabled site that reaches across all technologies: AI, security, databases and application development. Additionally, Microsoft’s LinkedIn Learning offers real-time insights into the most-needed job skills. “That directly influences the training that’s offered through that site,” Moses says.
3 weeks ago
FedTech Magazine
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10
AI skills gap
2025-06-17 14:02:56
null
5 ways you can plug the widening AI skills gap at your business
https://www.zdnet.com/article/the-ai-skills-gap-keeps-growing-here-are-five-ways-to-fill-it/
5 ways you can plug the widening AI skills gap at your business · 1. Train existing staff · 2. Source AI-skilled experts · 3. Change your...
Half of global technology leaders believe their organization has an AI skills shortage, and the capability gap has almost doubled in a year. The newly released Nash Squared/Harvey Nash Digital Leadership Report found that almost twice as many technology leaders (51%), compared with last year (28%), said their business has an AI skills shortage -- an 82% jump. Also: The great AI skills disconnect - and how to fix it The report by the recruitment specialist, the largest and longest-running survey of IT leadership in the world, found AI has jumped from the sixth-most-scarce technology skill to number one in just 18 months, the steepest and largest jump in any IT skills shortage recorded by the survey in more than 15 years of research. To put that level of growth in perspective, the report found that the increase in demand for cyber capability, another sought-after skill, has risen far more gradually -- from 16% in 2009 to 33% this year. Also: AI is paving the way for a new type of organization - a Frontier Firm So, why is the demand for AI rising so quickly? Nash Squared CIO Ankur Anand told ZDNET that the steep rise is linked to the speed of innovation. "There's an unprecedented pace of development in generative AI and the supporting large language models," he said. "If you look at OpenAI or Google, they come out with more advanced models every few months. Professionals must learn new skills quickly, and traditional learning methods can't keep pace." In short, business leaders need a new approach to filling the AI skills gap. Here are five areas to prioritize. 1. Train existing staff The research shows technology leaders and their companies have been slow to respond to the AI skills crisis, as more than half of companies (52%) are not upskilling in generative AI. Anand said successful organizations have a business strategy that states what AI means to the enterprise and how talented professionals will address those concerns. Also: Is your business AI-ready? 5 ways to avoid falling behind In addition to tapping into expert resources, like academics at colleges who are aware of the talent and the skills coming through, smart business leaders focus on continuous learning and development for their professionals. "That's easier said than done, given the pace at which AI is progressing, but it's important to foster a growth mindset within the organization," said Anand. "The best companies develop a career growth plan, with role-based certifications, whether for technology or softer skills. This clear career path becomes part of a continuous learning plan." 2. Source AI-skilled experts The research suggests almost two-thirds (65%) of tech leaders would choose an AI-enabled software developer with just two years of experience over one with a five-year career but without AI skills. So, what do the best AI specialists look like? Anand said the priority is sourcing people with analytical and problem-solving abilities: "AI challenges are complex, so businesses need that strong mindset." Great professionals ally technical capabilities with business domain expertise, so they know how to use AI to help the organization achieve its desired objectives: "That combination is crucial." The best AI specialists also understand ethics: "If people deploy AI without the guardrails, they will not be able to develop solutions responsibly." Also: Why neglecting AI ethics is such risky business - and how to do AI right Finally, Anand said great AI professionals share knowledge with others. "One of the things I've seen in my team is the importance of mentorship," he said. "The most talented people coach staff in the team and the rest of the business. This is a strong skill that business leaders need to focus on in the search for AI talent." Newsletters ZDNET Tech Today ZDNET's Tech Today newsletter is a daily briefing of the newest, most talked about stories, five days a week. Subscribe See all 3. Change your recruitment model Tech leaders expect AI to fill one in five technology jobs in the next five years, but the report suggests AI is also changing operating models. Anand said the first thing to recognize is that AI is changing traditional recruitment models. "There are platforms that can screen resumes and assess skills," he said. "AI is helping the industry move away from experience-based to skills-based assessment. Data-modelling techniques can also help companies predict the characteristics of a successful candidate for a role." Also: I tried Microsoft's free AI skills training, and you can too - for another few weeks Second, those candidates are unlikely to focus solely on technological expertise. The right talent will help companies augment human expertise with data-enabled capabilities, especially as the use of agentic AI increases during the next few years: "Soft skills, combined with a few hard technical skills, will be the perfect fit," he said. Finally, business leaders who look for this blended talent will cast their recruitment nets far and wide, covering diverse geographies, backgrounds, and capabilities. "This means no one will be saying, 'This job can only be filled by someone with five years' experience,'" he said. 4. Engage with next-generation capability Compared to the global average, organizations that attract, retain, and incorporate Gen Z viewpoints are twice as likely to be prepared for AI demands and one-fifth more likely to report a measurable ROI from AI. Anand said successful business leaders understand the values of younger professionals and their desire for purpose in work, particularly around social responsibility. "They look for organizations that align with these values," he said. "You need to give them challenging opportunities so they feel like they're part of a continuous learning process." Also: The best AI for coding (including two new top picks - and what not to use) Access to those opportunities is crucial because the days of someone looking to work for one company for decades are gone. "The younger generations gain knowledge quickly and get bored doing the same thing -- they want to move on," he said. "Organizations must understand the values of these generations and build career plans that suit them." Those plans should include flexibility across working locations and hours: "A good work--life balance is the number one factor for choosing an employer." 5. Keep exploring new AI opportunities The organizations most ahead with large-scale implementations of AI are 24% more likely to increase their tech headcount than their peers, mostly in areas of AI and data. Anand said pioneering tech leaders stay one step ahead by not being scared of emerging technologies. "There are still large enterprises that are keeping away from Gen AI because of fears about security," he said. "But if you don't engage with these technologies, your people won't stay. The best professionals need a challenging job. They recognize that AI could make mundane roles redundant in the future." Anand said smart business leaders foster a culture of experimentation to keep staff interested and excited. "They reward the risk--taking because even the failures drive new learnings, and these lessons will deliver success in the future," he said.
1 month ago
ZDNET
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11
AI skills gap
2025-06-17 14:02:56
null
Bridging the AI skills gap in your organization
https://www.chieflearningofficer.com/2025/05/14/bridging-the-ai-skills-gap-in-your-organization/
Bridging the AI skills gap in your organization · Assess AI readiness with curiosity, not judgment · Design learning pathways that embrace the...
# Bridging the AI skills gap in your organization Talent leaders and executives have a responsibility—and an incredible opportunity—to upskill existing talent, develop the workforce and prepare the next generation of leaders to play an active role in shaping the future with AI. Published May 14, 2025 Talent leaders and executives have a responsibility—and an incredible opportunity—to upskill existing talent, develop the workforce and prepare the next generation of leaders to play an active role in shaping the future with AI. Jessalin Lam Are you embracing artificial intelligence for the future, or fearing what will happen? Are you equipping yourself and your workforce with the skills to thrive alongside AI, or risking falling behind? In a world where change is constant and the impact of AI accelerates across every industry, these are critical questions talent and learning leaders must ask. The best way to prepare for the future is to learn, adapt and help shape it actively. As AI rapidly transforms the workplace, organizations must proactively address the growing AI skills gap to remain competitive, drive innovation and empower their people to succeed. This article explores why bridging the AI skills gap matters, how leading organizations are already taking action and what strategic approaches, grounded in a growth mindset, you can apply within your teams today. **The AI skills gap: What it is and why it matters** The AI skills gap is the difference between the skills your workforce currently has and the skills they need to effectively work with, understand and leverage artificial intelligence technologies in their roles. Talent leaders and executives have a responsibility—and an incredible opportunity—to upskill existing talent, develop the workforce and prepare the next generation of leaders to play an active role in shaping the future with AI. Growth, transformation and innovation cannot remain isolated within certain departments; it’s critical for talent leaders to be at the table, driving conversations about how to equip employees to build, manage and work alongside AI — ethically, strategically and creatively. Bridging the AI skills gap isn’t just about technical proficiency. It’s about cultivating a workforce that can adapt, collaborate, think critically and continuously learn as AI reshapes the world of work. **Real-world implications for talent development** It can feel overwhelming to know where to start, but inaction risks falling behind. Taking intentional, early action is essential. Here are examples of organizations already leveraging AI to support talent development: Across industries, leading companies are using AI to drive different facets of talent development—from continuous learning to internal mobility to strategic career pathing. _IBM: Personalized learning at scale with AI_ **Talent development area:** Learning and upskilling [IBM launched the SkillsBuild platform](https://www.wecreateproblems.com/blog/ai-in-talent-development) to close the skills gap by using AI to recommend personalized courses based on users’ interests, talents and career aspirations. By continuously analyzing user interactions, SkillsBuild now helps thousands of learners upskill and reskill for in-demand job roles across industries. _DHL: Advancing internal career growth through AI_ **Talent development area:** Internal mobility and career development DHL uses AI through its internal[ career marketplace](https://www.ft.com/content/9cf58a76-5245-4cdf-9449-239e90077eb5) to compare employees’ existing skills with open role requirements and direct them to targeted training programs. This AI-driven approach improves internal career mobility while helping managers fill vacancies more effectively. _Johnson & Johnson: Shaping career pathways for a global workforce_ **Talent development area:** Career pathing and talent planning Johnson & Johnson leverages AI-powered[ talent intelligence systems](https://www.cdomagazine.tech/talent-development/deep-dive-how-ai-is-shaping-career-pathways-for-jjs-150000-strong-workforce) to map employees’ current skills to future career opportunities and personalized learning paths. This strategy supports internal mobility and ensures the company’s workforce is future-ready and continuously growing. **Key strategies to bridge the AI skills gap through a growth mindset** Now that you’ve seen examples of organizations actively transforming their workforces with AI, let’s explore key strategies you can apply, all through the essential lens of a growth mindset. The concept of [a growth mindset](https://www.psychologicalscience.org/observer/dweck-growth-mindsets), coined by psychologist Carol Dweck, teaches that intelligence, abilities and talents are not fixed traits, but qualities that can be developed with effort, learning, and perseverance. In the context of AI transformation: * A fixed mindset might say: “AI is a threat to my job. I don’t have the skills for this, and I never will.” * A growth mindset would reframe it: “AI is changing how we work—and I can learn new skills to grow alongside it.” Cultivating a growth mindset within your organization builds the foundation for learning agility, innovation and adaptability—all of which are critical for thriving in an AI-driven world. Here are strategic recommendations framed by growth mindset reframes and reflection questions: * Assess AI readiness with curiosity, not judgment * Conduct a skills gap analysis to understand where your workforce currently stands in AI literacy and capabilities. * **Reframe:** “This is our starting point, not a final judgment. Every skill gap is an opportunity for growth, learning and innovation.” * **Reflection:** What strengths and hidden potentials can we uncover by approaching this assessment with curiosity? * Design learning pathways that embrace the power of “yet” * Create personalized, tiered learning paths that meet employees where they are and show a clear, accessible journey to AI fluency. * **Reframe:** “Our people may not have these skills yet, and with effort, practice and support, they absolutely can grow into them.” * **Reflection:** How can we design learning experiences that make employees excited to keep stretching and growing? * **Cultivate a culture of continuous learning** * Normalize microlearning, experimentation and learning from mistakes through regular, accessible AI skill-building activities. * **Reframe:** “Learning isn’t about getting it perfect the first time. It’s about practicing, experimenting and adjusting along the way.” * **Reflection:** How are we celebrating not just wins, but the willingness to try, iterate and learn? * **Develop managers as growth mindset coaches** * Train managers to support and coach their teams toward AI learning goals, emphasizing effort, resilience and curiosity. * **Reframe:** “Our managers are not just task leaders—they are growth champions who help people build confidence and stretch into new skills.” * **Reflection:** In what ways can our managers model learning behaviors and make growth visible for their teams? * **Promote ethical, human-centered AI adoption** * Integrate ethics and responsible AI use into all AI-related training programs and team discussions with a learning lens. * **Reframe:** “Understanding and using AI responsibly is a continuous learning journey—we can keep asking better questions, together.” * **Reflection:** How can we encourage our teams to approach AI ethics with humility, openness and a commitment to lifelong learning? * **Celebrate progress, not just mastery** * Publicly recognize small wins, learning milestones and acts of curiosity or resilience related to AI upskilling. * **Reframe:** “Every step forward is worth celebrating—it reinforces that growth is a journey, not a one-time event.” * **Reflection:** How can we intentionally highlight the process of learning, not just the end results, to keep motivation high? **Call to action** This is only the beginning. Reflect on the urgency of investing in AI capabilities—not just to stay competitive, but to empower your workforce to actively shape the future alongside emerging technologies. Cultivating a growth mindset is foundational to ensuring your talent can transform how they approach AI and contribute to both personal and organizational growth. Now is the time to champion a culture of curiosity, resilience and continuous learning and to ensure that learning leaders have a seat at the table in shaping the future of work. The question is no longer whether AI will impact your workforce—it’s whether you will lead your workforce to thrive alongside it.
1 month ago
Chief Learning Officer
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12
AI skills gap
2025-06-17 14:02:56
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AI Skills Gap
https://www.ibm.com/think/insights/ai-skills-gap
In 2024, AI spending will grow to over USD 550 billion, and there will be an expected AI talent gap of 50%, according to new research from Reuters.
AI skills gap Tags Artificial Intelligence 20 December 2024 Authors Charlotte Hu IBM Content Contributor Amanda Downie Inbound Content Lead, AI Productivity & IBM Consulting There is a greater tech talent shortage across multiple industries at large. Part of the problem is the rapid advancement of artificial intelligence (AI) and the proliferation of new technologies, such as generative AI (gen AI), which are shifting the types of roles and skill requirements companies are hiring for as they continue to automate processes and services. In 2024, AI spending will grow to over USD 550 billion, and there will be an expected AI talent gap of 50%, according to new research from Reuters.1 AI has the potential to enhance products and services, optimize business operations and workflows, help with decision-making and automate tedious tasks. It has the potential to change the nature of work and the job market, according to a report by Deloitte. 2 However, even the most advanced AI today cannot operate without humans. Closing the AI skills gap is essential to help organizations prepare for the future of work and accelerate innovation. Why is there an AI skills gap? Demand for AI roles is growing, as the rate of automation and technological advancements speed up. However, AI adoption remains uneven across companies. Many employees believe that the AI skill gap is an AI training gap.3 According to a 2024 Randstad survey, respondents said that companies adopting AI have been lagging in training or upskilling employees on how to use AI in their jobs. There are also gender and age divides in how well AI training adequately prepares workers. Respondents on a separate 2024 Skillsoft survey said that the learning format in existing talent development programs is sometimes not effective, or they struggle to find time or leadership support for completing these programs. For companies, limits in internal budgets and access to technologies, tools and data can all be impediments to AI upskilling, according to Snaplogic research.6 Also, some employers say they are going to use AI but fail to identify the specific ways that AI can be used, making them unsure of the exact skills that are needed to fulfill those tasks. What skills are needed for AI? There exists an ecosystem of high-demand AI and related skillsets.1 In general, organizations need AI builders and AI translators.2 These include people who know how to use and deploy gen AI, predictive analytics, large language models (LLMs), natural language processing (NLP), machine learning (ML), deep learning and reinforcement learning. Not all skills require extensive knowledge related to deploying AI. Some tasks can include more basic knowledge, for example, how to prompt-tune or fine-tune ChatGPT. Also, employees are expected to have working knowledge of security, privacy, data science, statistics, software development, coding, models and algorithms. In addition to AI and programming skills, some workers are expected to take management roles and work with subject experts or user experience designers. It can’t just be filling the gap from the bottom up. Senior leaders in the C-suite also need to be up to speed with the latest AI knowledge to understand what the company is working on and working toward. Having every employee who interacts with AI-related functions learn how to code AI from end to end is often not necessary. Corporations can also consider implementing intuitive tools that are low-code or no-code in AI projects. How can we bridge the AI skills gap in the workforce? The skills shortage can be bridged with investments and initiatives around skills development. Many of the problems causing an AI skills gap are the same problems causing tech talent shortages. Several solutions for closing the AI skill gap overlap with solutions for completing the tech talent shortage. There are several online platforms that offer teachings on AI skills. For example, IBM’s SkillsBuild and Microsoft offer free resources that can help anyone start to assess and develop their AI skills. Fostering a future-ready workforce involves strategic hiring and investing in continuous learning. Most employees are amenable to more training to acclimate them to emerging technologies. Traditional avenues for learners such as universities, PhD programs, AI camps and online academies, can still be viable for Gen Z workers to acquire skills. Training and exposure to AI technologies and tools in school curriculums, especially for younger students, is necessary. That means that keeping trainers and teachers up to date is vital. When onboard, internal learning opportunities such as training programs, workshops with peers, office hours or sessions to practice in sandbox environments are what will help retain valuable employees, which can decrease the time needed to vet new applicants. To streamline hiring and make the learning process efficient, companies must first thoroughly assess the benefits and limitations of AI to their organization.2 More AI is not always better. Businesses should carefully evaluate how they have been using it in their operations in the last year, see what’s working and what’s not, and use feedback to roadmap how they want to use AI in the next few years. Based on this, they can test the AI readiness of their current employees in those AI topics to look for gaps in skill proficiency. Depending on how specialized a company’s AI needs are, they can then choose to either bring in new AI experts to pioneer projects or reskill their available engineers to use and apply AI tools. To help employees be engaged to reach their personal skill-building goals, employers should consider more interactive and customizable learning programs that can mix online, on-demand courses with experiential opportunities and live, instructor-led training. Importantly, companies must help ensure that their AI training approaches and initiatives are offered equitably and are inclusive of workers from different demographics. It is easier to solve the problem collaboratively rather than having to develop strategies and in-house learning plans from scratch. Businesses can participate in partnerships with educational institutions and other organizations to provide these offerings.
5 months ago
IBM
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13
AI skills gap
2025-06-17 14:02:56
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Innovate UK Launches AI Skills Hub With PwC
https://www.digit.fyi/innovate-uk-launches-ai-skills-hub-with-pwc/
Innovate UK, with the support of PwC, has launched a 'first of its kind' AI skills platform.
Innovate UK Launches AI Skills Hub With PwC Graham Turner 17 June 2025, 09.54am Innovate UK, supported by PwC, has launched the AI Skills Hub — a national platform connecting learners, employers and tech providers to drive AI adoption and close critical skills gaps in four key UK industries. Innovate UK, with the support of PwC, has launched a ‘first of its kind’ AI platform to connect individuals, employers, training providers, and AI technology partners in a collective mission to advance AI adoption, job creation and growth. PwC research shows that industries with high AI adoption have three times the productivity growth and faster wage growth than less exposed sectors – with an 11% wage premium attached to occupations with AI skills. The AI Skills Hub aims to unify the fragmented AI learning and employment landscape and fill the gap between employers’ demand and available skills. Initially, it will focus on four key industries: agriculture and food processing; construction; creative; and transport, logistics, and warehousing. PwC conducted research for UKRI which revealed that over 73% of employers in these industries report skills shortages in areas including AI systems, AI ethics, governance & regulations and machine learning. Encouragingly, there is a strong appetite among employees to upskill in AI, with only 17.3% of employers citing employee resistance as a barrier to training. Instead, cost and difficulty in sourcing the right training are more significant obstacles. Zlatina Loudjeva, partner at PwC UK, said: “AI is here to stay, it will develop faster and faster, and presents huge opportunities for employers and employees alike. The better the skills a person has, the more they can benefit from the new opportunities. But for those lacking the right skills, the risk is being left behind. “Put simply, to benefit from AI, workers must take charge of their development, because you have to be in it to win it. By improving links between employers, training providers, and technology partners, the Hub aims to increase employability and AI readiness in sectors where there is a clear need. Providing these essential skills is not only key to the UK’s economic stability and prosperity but also to promoting greater social cohesion.” The skills churn is accelerating According to PwC’s 2025 AI Jobs Barometer, AI is creating rapid changes in the skills workers need to succeed in the workplace, with candidates now more likely to need to operate AI tools and demonstrate abilities such as critical thinking and collaboration. Gary Cutts, Innovate UK Executive Director for Digital and Technologies, said: “The pace of AI development can make AI learning a daunting prospect for individuals and employers, who can struggle to stay on top of training needs. The AI skills hub will make the AI learning and employment landscape much more accessible.” Boosting productivity in the construction industry The construction industry, one of the sectors to be served by the Hub, employs 2.7 million individuals, representing 8% of the United Kingdom’s workforce. However, like many industries, it faces a productivity challenge, experiencing only a 1% increase in productivity over the past two decades. Zlatina Loudjeva, Partner, PwC UK added: “The AI Skills Hub will provide businesses in these four industries with confidence and the opportunity to optimise their operations, innovate their products and services, and ultimately create new roles and skills for their employees. “By expanding access to relevant tech and relevant training, the Hub can give a significant boost to the UK economy, addressing long-standing productivity issues.”
5 hours ago
DIGIT.FYI
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14
AI skills gap
2025-06-17 14:02:56
null
AI Has Led to Biggest Skills Shortage in 15 Years
https://www.hrotoday.com/news/ticker/ai-has-led-to-biggest-skills-shortage-in-15-years/
AI has jumped from the sixth most scarce tech skill to number one in 18 months, making it the steepest and largest jump in any technology...
## Step 1: Extract the headline of the article The headline of the article is "AI Has Led to Biggest Skills Shortage in 15 Years". ## Step 2: Extract the subhead of the article There is no explicit subhead in the provided text, but a brief summary can be derived from the first paragraph: "Artificial intelligence has created the world’s biggest and fastest-developing tech skills shortage in over 15 years, finds a new Nash Squared/Harvey Nash report". ## Step 3: Extract the author(s) of the article The author(s) of the article are not explicitly mentioned, but the report is attributed to Nash Squared/Harvey Nash, and quotes are provided from Jason Pyle, president of Harvey Nash USA and Canada. ## Step 4: Extract the publication date of the article The publication date of the article is "27th May 2025". ## Step 5: Extract the main text of the article The main text of the article discusses the findings of the Nash Squared/Harvey Nash report, including the rapid growth of AI skills shortage, the impact of AI on tech headcount, and the need for HR leaders to rethink hiring strategies and team structures. ## Step 6: Combine the extracted information into a plain text format AI Has Led to Biggest Skills Shortage in 15 Years Artificial intelligence has created the world’s biggest and fastest-developing tech skills shortage in over 15 years, finds a new Nash Squared/Harvey Nash report. 27th May 2025 Jason Pyle, president of Harvey Nash USA and Canada The Digital Leadership Report, the largest and longest-running survey of technology leadership in the world, found that AI has jumped from the 6th most scarce technology skill to number one in just 18 months—the steepest and largest jump in any technology skills shortage recorded for over 15 years. Almost twice as many technology leaders (51%) compared to the previous report (28%) now say they are suffering an AI skills shortage, an 82% jump. In the previous years that Harvey Nash has tracked technology skills shortages globally, the next biggest reported jump was a shortage in Big Data skills, with a jump of just 38%. Even with Cyber skills, for which demand continues to grow, the increase in scarcity has been gradual—rising from 16% in 2009 to 33% this year. This rapidly developing AI skills shortage is closely linked to a significant growth in investment, with 90% of global technology leaders now reporting they are either piloting AI or investing in small- or large-scale developments. This has skyrocketed from 59% in the previous Digital Leadership Report. Despite this steep rise, over two thirds (67%) of all technology leaders report they have not received measurable ROI from piloting AI. Larger organizations, however, fare better in quantifying results: more than half (53%) of larger organizations with technology budgets exceeding $500 million report a measurable return. Although AI investment has helped create this tech skills shortage, technology leaders and their companies still are working on how to respond to the crisis, as the report found that over half of companies (52%) are not upskilling in GenAI. But it is not just a skills question: operating models will also need to change as the tech team is increasingly supplemented by AI and activities like software development are revolutionized. “As HR leaders work through this changing AI landscape, the future of hiring means rethinking which skills are needed and how teams are structured to fully harness AI’s potential,” says Jason Pyle, president of Harvey Nash USA and Canada. “The Nash Squared/Harvey Nash Digital Leadership Report found that the organizations with large-scale implementations of AI are 24% more likely to increase their tech headcount, so HR should be prepared for that swing as AI adoption grows. Leaders are using AI to drive growth in ways previously unattainable, and HR will play a pivotal role in shaping talent acquisition strategies to meet these growth goals.” AI Shaping Investment Decisions Overall, as with other business functions in uncertain economic and geopolitical times, the outlook for technology budgets has dipped from the highs seen during and after the pandemic—but still, over a third (39%) of technology leaders expect their budget to rise. Investment has become more selective. Boards are most attracted to clear business cases tied to operational efficiency and AI-powered growth. The organizations most ahead with large-scale implementations of AI are 24% more likely to be increasing their tech headcount than their peers, mostly in areas of AI and data. Tech leaders expect one in five of their technology jobs to be fulfilled by AI in the next five years. But the Nash Squared/Harvey Nash report highlights that AI isn’t replacing people, it’s changing the kind of people leaders want to hire and their operational models. Almost two thirds (65%) of tech leaders would choose an AI-enabled software developer with just two years’ experience over one with a five-year career but without AI skills. Organizations that engage with Gen Z are making more progress in AI. Compared to the global average, organizations that attract, retain, and incorporate the viewpoints of Gen Z are twice as likely to be prepared for the demands of AI and one-fifth more likely to report a measurable ROI from AI. “Gen Z has grown up with AI at their fingertips, so it’s no surprise they’re more comfortable – and less intimidated – when it comes to using these tools. That ease is a real asset in the workplace, as they’re not just using AI, they’re leveraging it strategically and enthusiastically to boost everyday productivity,” Pyle says. Demand up for Cyber Skills After a period of decline, cyber-attacks have once again increased, and the skills demand has grown in response (up 22% since the last report). With software development the most widely adopted use case for AI, it appears to be plugging a skills gap that has long been a challenge to recruit. Software engineer shortages dropped 26% since the last report. The growth in agile methods—as well as the use of cloud technologies—has decentralized project delivery and reduced the need for heavyweight roles in enterprise/solution architecture. Major cyber-attacks are rising again – 29% of tech leaders were subjected to a major attack in the last two years, the highest level since 2019 (32%) and breaking a downward trend in the last five years. Threat from “foreign powers” and “insiders” rises steeply – While organized crime remains the primary cause for concern, there has been significant growth in the threats from foreign powers (40% in 2022 to 50%) and insiders (33% to 42%). DEI Progresses as Gender Parity Flatlines DEI efforts remain strong despite shifting political winds – Globally, four in ten organizations have ramped up their DEI focus over the last two years, and very few tech leaders report a reduction in DEI. Around one-fifth of a tech team could be considered neurodivergent, and nearly half of leaders (47%) have practices in place to support neurodivergent talent. Progress on gender is stuck – Just 23% of tech teams are women—the same as two years ago. Women in leadership have dropped from 14% to 13% since the last report. Over half of tech leaders have had a salary rise in the last year, but for four in ten, pay has remained static. Tech leaders that have had a pay rise of 10% or more are distinct – Firstly, their CEO is significantly more focused on technology making money instead of saving it for the organization (73% compared to the 66% global average.) They are also more likely to have a large-scale implementation of AI (27% versus 19%) and more likely to increase tech headcount (50% versus 41%).
3 weeks ago
HRO Today
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15
AI skills gap
2025-06-17 14:02:56
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The AI skills gap: Women’s interest in generative AI outpaces available training | Amazon Web Services
https://aws.amazon.com/blogs/training-and-certification/the-ai-skills-gap-womens-interest-in-generative-ai-outpaces-available-training/
Women in professional roles across industries show strong interest in learning generative AI skills, according to research commissioned by AWS.
The AI skills gap: Women’s interest in generative AI outpaces available training by Training and Certification Blog Editor on 06 MAR 2025 If you’re a woman in tech or business looking to advance your career with artificial intelligence (AI) skills, this post is for you. You’ll discover the latest research on women in AI, understand common learning pathways, and find specific Amazon Web Services (AWS) training resources to help you move forward—whether you’re just interested in learning the basics or ready to become an AI expert. Women in professional roles across industries show strong interest in learning generative AI skills, according to research commissioned by AWS. A nationwide survey of nearly 1,000 U.S. women conducted by Morning Consult found that 77% are interested in learning how to apply generative AI capabilities, such as automating tasks, enhancing data analysis, fostering creativity, and aiding content creation to their current roles. Furthermore, 80% state they would be interested in applying to jobs that involve generative AI, and more than half (55%) believe gaining generative AI skills will improve their career progression. However, while 75% of women surveyed are familiar with generative AI, only 6% consider themselves experts. Additional takeaways include: **A mixed picture of generative AI training** As many organizations are experimenting with generative AI, women are eager for their employers to provide more skills development support. 43% say that their employer offers at least some support for generative AI skills development, and 42% state that their employer’s support isn’t adequate. Furthermore, 45% say there isn’t an organizational push to incorporate generative AI into their roles. **Key barriers and motivators to generative AI learning** The top barriers preventing women from developing generative AI capabilities include not knowing where to start or what skills to focus on (35%), uncertainty around how generative AI applies to their role (31%), lack of access to training resources (27%), and limited time due to busy schedules (26%). To overcome these hurdles, women have identified employer-sponsored training (53%), affordable online courses (50%), flexible learning options (47%), and free or low-cost training programs (42%) as top motivators to generative AI skills development. **Free and low-cost training resources for AI career growth** To help women—and all learners—upskill in AI, AWS offers more than 135 free and low-cost AI and machine learning (ML) courses and learning resources available through AWS digital learning centers, AWS Skill Builder and AWS Educate. For example, AWS recently launched Generative AI Essentials on AWS, a one-day class to help customers unlock the power of generative AI, and a course on Amazon’s new Nova models to help users understand Nova’s capabilities to generate text and creative content. AWS continues to innovate and launch new courses as AI technology rapidly evolves. People who want to validate their AI skills and knowledge with an industry-recognized credential can get AWS Certified with the AWS Certified AI Practitioner certification, which is designed for learners to validate their understanding of core AI and ML concepts and use cases. AWS Educate offers a learning pathway to help individuals prepare for the certification exam. AWS Skill Builder also offers an exam prep course that includes additional learning content, labs, exam-style prep questions, and the AWS Certification Official Pretest, which can help learners assess their exam readiness, empowering them to approach exam day with confidence. More experienced practitioners who have at least one year of experience building, deploying, and maintaining AI and ML solutions with AWS can pursue the AWS Certified Machine Learning Engineer – Associate. It validates a person’s technical ability in implementing ML workloads in production and operationalizing them. AWS Skill Builder offers an exam prep plan that includes hands-on labs via AWS Builder Labs and game-based learning like AWS Cloud Quest to build real-world skills with interactive training. With AI poised to transform how we work, Amazon is committed to helping people gain AI literacy so they can benefit from all AI has to offer and to address the AI skills shortage. In 2023, Amazon launched AI Ready, a commitment to provide free AI skills training to two million people globally by 2025. Amazon met this goal a year ahead of schedule, and continues to help learners from all walks of life gain AI skills. **Ready to build your AI skills?** Start your journey today with AWS Skill Builder and AWS Educate.
3 months ago
Amazon Web Services (AWS)
data:image/jpeg;base64,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
16
AI skills gap
2025-06-17 14:02:56
null
Workforce AI skills are advancing too slowly as the technology zooms ahead. Something has to give
https://fortune.com/2025/05/08/ai-skills-workforce-reskilling/
The problem is likely to intensify as companies try applying AI tools to more complex parts of their business.
Workforce AI skills are advancing too slowly as the technology zooms ahead. Something has to give BY John Kell May 8, 2025 at 2:16 PM EDT Businesses are spending billions of dollars annually on generative AI tools to help make their workforce more productive. And yet, a skills gap persists from the C-suite to frontline employees. “If you’re not investing in skills development and you’re not invested in learning, I think you are going to leave your workforce behind,” said Karalee Close, global talent and organization lead at IT services and management consulting firm Accenture, at Fortune’s Brainstorm AI conference in London on Tuesday. With 97% of C-suite leaders saying they view artificial intelligence as a major transformational opportunity but only 13% actually creating business value from the technology, Close said, a scaling issue is emerging because companies haven’t yet figured out how skills will need to evolve. This challenge has become an even greater burden to businesses as they move to apply gen AI tools from simpler use cases—customer service, coding, repetitive back-office tasks—to more complex parts of the business like supply chains and research and development. “It’s a question of if you can develop the workforce in the right way,” Close said. Some leaders believe that an inverse pyramid has emerged with AI: There’s great enthusiasm from the C-suite, but that level of interest starts to wane with middle managers, and it further deteriorates among early-career workers who still haven’t been shown exactly how AI will make them more productive. “Spending more time on that will yield better results collectively,” said Chintan Patel, chief technology officer of Cisco’s Europe, Middle East, and Africa (EMEA) business. Patel says the digital knowledge gap extends far beyond AI, citing research released last year by British financial services company Lloyds Bank that found 52% of working-age adults in the U.K. lacked essential digital skills, ranging from effectively using social media, performing financial transactions, and understanding how to avoid online scams. “If we don’t get some of those basic digital skills enabled in the workforce—and by the way, 70% of the 2030 workforce is in the workforce today—we absolutely won’t get people onto advanced AI,” Patel said. With five European businesses adopting AI every minute, according to a study from Amazon, the technology is advancing at a pace that far exceeds when mobile phones proliferated at the turn of the century. “The problem we are facing is that whilst the technology exists and it is moving at rapid pace, the skills acceleration is not happening at the same pace,” said Tanuja Randery, vice president and managing director of EMEA for Amazon Web Services. Randery said that every conversation she has with CEOs features the same theme: They cannot find enough digital skills in the workforce. She recommends three fixes: a greater effort to educate students at universities on core digital skills, investments in reskilling programs for the current workforce, and getting leadership up to speed to fully grasp the implications of AI to their core businesses. “Even though boards and CEOs are pulling for this, very few actually understand the technology and its implications,” Randery said. Accenture’s Close shared her own work with the company’s efforts to develop 12 industry-specific AI agents intended to help workers on tasks ranging from clinical trials in drug development to addressing industrial equipment issues to making marketers and communications experts more data driven. “The lesson that we learned is that harnessing the creativity and the power of the best marketers was what needed to happen,” Close said. That meant they had to be trained and encouraged how to prompt large language models, have a back-and-forth dialogue with data, and embrace change. Randery, citing a 2025 report from the World Economic Forum, notes that if the world’s workforce was made of 100 people, 59 would need to be reskilled by 2030 to reflect the ways that technology is changing workplace tasks. Of these, 29 could be upskilled in their current roles, 19 trained and then redeployed elsewhere within the company, and 11 would likely not get the right reskilling and their employment would be at risk. “There is absolutely a reason to believe that there is going to be a percentage of jobs that will go away,” Randery said. But, optimistically, she added, “If I go back to technology implementations over time, it only always results in augmentation.” She noted that AI coding assistant tools are taking away tedious tasks, but also spurring a new wave of creativity. Close said that persistent research shows that humans, when combined with technologies like AI, are more effective at completing tasks than a human working on their own. Businesses need to reflect on their own purpose as a company: what’s their point of differentiation and how can humans be combined with technology, not pitted against each other. “It’s less about who is good and who is going to be replaced,” Close said. “It’s more about what you can do differently with this technology.”
1 month ago
Fortune
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17
AI skills gap
2025-06-17 14:02:56
null
The AI Talent Crunch: Preparing Today’s Workforce for Tomorrow’s Technology
https://newsroom.arm.com/blog/ai-skills-gap-workforce-readiness
How businesses, educators, and policymakers can close the AI skills gap and prepare the global workforce for an AI-driven future.
The AI Talent Crunch: Preparing Today’s Workforce for Tomorrow’s Technology Closing the AI skills gap is now mission-critical for business, education, and the global workforce By Khaled Benkrid, Senior Director, Education and Research, Arm April 10, 2025 The rapid adoption of artificial intelligence (AI) is reshaping industries across the globe, creating unprecedented opportunities and challenges. Among the most pressing issues is the skills gap, which is essentially a shortage of expertise required to effectively integrate and utilize AI technologies in the workforce. The situation comes out in full relief in the just-published Arm AI Readiness Index report. Among the findings: * 34% of surveyed business leaders reported their organizations are “significantly under-resourced” or “under-resourced” when it comes to in-house AI talent * Nearly half (49%) of leaders identify a lack of skilled talent as a primary barrier to successful AI implementation * Only 17% of business leaders believe their employees have “advanced” skills that fully leverage AI tools. ## Current skills challenges in the AI workforce This skills gap can affect every job role, making staff and professional development essential. Companies must invest in training programs that help employees understand AI’s capabilities and applications. Furthermore, the future workforce will need to combine human ingenuity with new and emerging AI technologies; going beyond just the technical skills alone. Addressing these multifaceted challenges will require engineers, practitioners, and students to acquire foundational skills and concepts through education and training. To meet this demand, the current curricula must undergo substantial revision, equipping students with knowledge that aligns with new AI-driven programming and decision-making. The skills challenge is a global issue, as AI is being adopted worldwide. However, there are notable regional variations in readiness and focus. While some countries lead in AI adoption, regulation, and standard-setting, others lag behind. Even within countries, priorities can differ based on regional needs. For instance, in the U.S., rural economies like Idaho may emphasize AI applications in agriculture as opposed to more urban states that will focus on AI for smart cities. This highlights the importance of context-specific education and training. ## The evolution of educational requirements The emergence of AI is disrupting traditional educational requirements and degree programs. While computing has been a relatively recent addition to school curricula, it is already being transformed by AI. This necessitates regular updates to ensure that education keeps pace with technological advancements. Accelerated learning models will lead to a dynamic curriculum that evolves alongside industry needs. Reskilling efforts must begin at the pre-university level, focusing on foundational technologies and introducing students to AI concepts early. This requires educators and institutions to distill trends and skills into actionable knowledge that can be integrated into curricula. Due to the fast pace of AI developments and supporting emerging technologies, frequent updates to training materials are essential. This ensures that students and professionals are prepared for the ongoing evolution of AI. Universities and academic institutions play a pivotal role in shaping the future workforce. By conducting research and integrating AI into their curricula, they ensure that graduates possess the skills required by the wider industry. Collaboration with industry partners allows academic programs to align with the evolving demands of the job market, creating a seamless transition for students entering the workforce. Recognizing the scale of the challenge, initiatives like the Semiconductor Education Alliance (SEA) have emerged to bridge the gap between academia, industry, and government agencies. SEA’s work focuses on developing Knowledge, Skills, and Abilities (KSA) frameworks, which help by providing rigorous descriptions of the competencies required for AI software and hardware engineers. These frameworks are crucial for designing high-quality curricula and training materials that align with industry needs. The global community of SEA members also emphasize the importance of the “3 Cs” – content, community, and careers – to help build a robust ecosystem that prepares individuals for AI-driven roles. ## Arm’s collaborations with academia Arm has been at the forefront of fostering industry-academia collaborations. By developing free educational tools and training kits, Arm has facilitated the widespread adoption of its content across thousands of universities. Meanwhile through SEA, Arm continues to work closely with academic institutions, contributing to educational standards and linking education with industry requirements. More recently, Arm announced critical investment into the University of Cambridge’s new CASCADE (Computer Architecture and Semiconductor Design) Centre, which will fund 15 PhD students over the next five years who will undertake groundbreaking work in intent-based programming to realize the potential of AI through next-generation processor designs All these academic collaborations ensure a steady pipeline of talent and innovations equipped to meet the demands of an AI-enabled world. ## How to equip the AI workforce The integration of AI into the workforce demands a concerted effort to address the current skills gap. Employers already recognize this. * 66% of organizations plan to upskill existing employees to adapt to increased AI integration * 53% intend to hire new talent with AI expertise * 51% plan to partner with external experts. In addition to that, by revising curricula, investing in training, and fostering collaboration between academia, industry, and government, we can prepare the future workforce for success. Initiatives, like SEA, and industry-leaders like Arm exemplify the collaborative spirit needed to navigate this transformative era of AI. This ensures that the global workforce is equipped to thrive in both using and understanding AI technologies. By Khaled Benkrid, Senior Director, Education and Research, Arm
2 months ago
Arm Newsroom
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18
AI skills gap
2025-06-17 14:02:56
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Where AI skills are needed most
https://www.computerworld.com/article/4005164/where-ai-skills-are-needed-most.html
Your weekly round-up of the questions asked by readers of CIO, Computerworld, CSO, InfoWorld, and Network World sees us learning where AI...
Where AI skills are needed most by Matt Egan Global Content and Editorial Director # Where AI skills are needed most feature Jun 16, 2025 3 mins Artificial Intelligence Careers IT Leadership Your weekly round-up of the questions asked by readers of CIO, Computerworld, CSO, InfoWorld, and Network World sees us learning where AI skills are most in demand; why CISOs quit; and why that is a bad thing because a good CISO is hard to find. Navigating the AI talent shortage The IT layoffs we have seen in 2024 and early 2025 are set to continue as companies look to drive efficiencies with AI, all the while bracing for a recession. That’s the bad news for IT professionals. But our readers wanted to understand where the opportunity lies in all this disruption. Many of them asked Smart Answers where the AI skills gap is – where are the roles going to be? The good news is that more than three quarters of employers say they are struggling to find the right tech talent, with roles in AI and Machine Learning most prominently cited as gaps. Why do CISOs quit? Staying with the challenge of hiring and retaining IT talent, this week CSO reported that more than half of department heads reporting to CISOs are looking to quit. But what about the CISOs themselves? Many readers asked Smart Answers why CISOs tend not to stay in their roles for long. Leaning into decades of human reportage our AI answer service surmises that the issues include high stress levels, personal liability and organizational distance from decision-makers. …And why you should stop CISOs quitting Meanwhile, here’s the problem with all of those CISOs quitting: a good CISO is worth their weight in gold. This week CSO published an article in which David Gee argued that good CISOs have highly specialized knowledge that takes significant time and investment to develop for a secure future. But why is that? Smart Answers thinks the issue is escalating cyberattacks and the growing sophistication of security threats, including AI-driven attacks, that is driving up demand. Matt Egan is Global Content and Editorial Director of Foundry's enterprise sites. Matt Egan is Global Content and Editorial Director of Foundry's enterprise sites. He has worked for the world's leading technology brands - CIO, Computerworld, CSO, InfoWorld and Network World - since 2003. A passionate technology fan who writes on subjects as diverse as AI, internet security, and IT leadership, in his spare time Matt enjoys playing soccer and singing in a band.
1 day ago
Computerworld
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19
AI skills gap
2025-06-17 14:02:56
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Bridging The AI Skills Gap With Flexible Talent
https://www.forbes.com/councils/forbeshumanresourcescouncil/2025/04/22/bridging-the-ai-skills-gap-with-flexible-talent/
In a world where AI and tech expertise is scarce, businesses need a way to bring in high-level talent with rarefied skill sets exactly when they need them.
Bettina Schaller is president of the World Employment Confederation. gettyWithin the greater workforce AI adoption revolution, we’ve recently seen an interesting HR trend—employers are ramping up AI literacy and training efforts, as well as operations themselves, by bringing in contingent or temporary workers to train permanent employees to use these new tech tools.The reason is fairly straightforward: Many companies simply lack in-house AI expertise. And regulatory requirements are forcing companies’ hands as well—in Europe, for example, the EU AI Act is pushing companies to improve AI literacy, with the broad acknowledgment that not enough people have the necessary knowledge to keep up with the pace of digital transformation.Consequently, many companies are bringing in contingent workers—whether temporary, outsourced or project-based—because they need people with this specialized expertise. This is especially common in digital and tech fields, where talent shortages become all the more pronounced as technology evolves.For these AI and tech specialists, being hired on an ad-hoc basis aligns well with their working preferences. Many of them prefer flexible, nontraditional work arrangements rather than being tied to a single employer. We’ve seen that they tend to prefer open environments and flexible hours—they don’t want to be locked into one company. Many choose to work as contingent workers, whether through agencies or their own project-based contracts. (At least in the EU, agency workers often receive additional benefits and support from the staffing firms that employ them; therefore, many workers prefer this arrangement over freelancing because it provides more security while still offering flexibility.)As a result, this free-floating, unattached workforce—whether contracting through agencies or as individual “guns for hire”—currently holds a disproportionate amount of the AI expertise that companies need.The Business Case For Contingent WorkersThough many people assume that cost savings are the main reason companies use contingent workers, that’s not necessarily the case. The real benefit is access: In a world where AI and tech expertise is scarce, businesses need a way to bring in high-level talent with rarefied skill sets exactly when they need them. And access to a truly global talent pool—whether through agencies or direct hiring—gives companies the flexibility to bring in exactly the right people for each project.But beyond filling temporary roles, there’s also a major workforce upskilling aspect. In Italy, for example, we see a strong focus on continuous re-skilling. Ideally, companies would handle this internally, but many don’t. That’s where agencies play a key role; many of the largest staffing firms invest heavily in training funds, education programs and upskilling initiatives to ensure their workers stay at the cutting edge of their industries and are ready to enter companies and begin disseminating high-level skills. 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); Best Practices For Companies In Need Of SkillsFor any growing company today, developing a talent strategy is crucial for growth. Traditionally, companies focus on their product—but a major challenge now is making sure they have the right people to execute that vision. Particularly as AI tools advance relentlessly, both in implementation and in sophistication, more and more companies will be looking to recruit the skilled professionals they need—both to complete complex projects and to assist in leveling up the rest of their workforce.But where to start?A strong talent strategy requires visibility. You need data on your current workforce: where the gaps are and how those gaps align with your business goals. Experience tells us that companies need a mix of permanent employees and flexible talent. The key is understanding where flexibility makes the most sense. Larger companies with strong in-house HR might think they can manage this themselves, especially now, with AI-driven recruiting tools. But what those tools can’t do is provide a strategic, forward-looking approach.A lot of times, job descriptions don’t actually capture what a company really needs. That’s where industry partners such as specialized agencies come in—not just to help fill these roles, but to offer support in designing the best talent strategy.Take the automotive industry right now—it’s in complete transformation, and there aren’t enough engineers to meet demand. Car companies want to be at the cutting edge of innovation, but they can’t afford to have every type of specialist on staff. So they partner with agencies or outsource key R&D functions. When household-name luxury car brands need, say, a new brake system, it’s not actually their in-house engineers developing it; the engineers at the helm are part of specialized firms that supply the auto industry. That’s the working model we’re seeing more and more—companies relying on external experts to drive innovation.Interestingly, these experts often have experience across multiple companies—including competitors. So when you bring them in, you're not just getting an individual—you’re benefiting from a collective knowledge base of best practices.Ethical Considerations At The ForefrontEthics around hiring and AI use are a key differentiator between well-regulated industry players and those operating in a gray area. When there are bad actors, they hurt the reputation of their industry as a whole.Enterprise-level organizations benefit from using renowned agencies to vet workers, ensuring they meet ethical standards. When AI is involved—whether in hiring, workforce management or product development—these ethical considerations must be nonnegotiable.AI products, in particular, need diverse input. If you’re building an AI-driven tool but only testing it on a homogeneous group (say, young white male engineers), the end result will be flawed. Companies need diversity in their development teams and in the data used to train AI. And from a product perspective, it’s simple: If you don’t test across a diverse population, your AI won’t work properly.Some user companies will already have their own ethical AI policies. If they don’t, global oversight confederations like ours can help, and big firms will often partner with workforce solution providers to develop these frameworks. Microsoft, for example, has strong ethical AI policies and partners with several agencies. Co-creation is the goal, but at a minimum, companies should prioritize ethical hiring and AI development.Some Final ThoughtsThe effort to obtain and implement the exact right talent for the moment sometimes stymies organizations; they may balk at costs, be unsure what kind of talent they need or have lingering confusion about how best to implement precision skill sets within their company and workforce.True expertise and rarefied technical skill come at a premium because they are scarce commodities—and their value cannot be overstated. Simply put, the alternative is stagnation; if you don’t bring in the right talent at the right time, you risk falling behind on innovation.Forbes Human Resources Council is an invitation-only organization for HR executives across all industries. Do I qualify?
1 month ago
Forbes
data:image/jpeg;base64,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
20
AI skills gap
2025-06-17 14:02:56
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AI Skills Gaps Threaten To Exacerbate Labor Shortages, Study Shows
https://www.forbes.com/sites/josiecox/2024/11/12/ai-skills-gaps-threaten-to-exacerbate-labor-shortages-study-shows/
In terms of which employees are acquiring AI skills, the divides are stark too, particularly along gender and age lines: Some 71% of workers who...
Some 71% of workers who report to be skilled in AI are men, while just 29% are women—a staggering 42 ... More percentage point gap.AFP via Getty ImagesGrowing artificial intelligence skills gaps and adoption divides are threatening to exacerbate a labor shortage, new research conducted across more than a dozen countries shows.The study—based on more than 12,000 workers and conducted by Randstad, the international HR consulting firm—found that while 75% of the companies examined are adopting AI, only just over a third, or 35%, of employees say that they have received AI training over the course of the last year.In terms of which employees are acquiring AI skills, the divides are stark too, particularly along gender and age lines: Some 71% of workers who report to be skilled in AI are men, while just 29% are women—a staggering 42 percentage point gap.The research also found that just one in five so-called Baby Boomers, broadly defined as workers born between the years 1946 and 1964, have been offered AI upskilling opportunities. For younger Gen Z workers, born between 1981 and 1996, that proportion is much higher at almost a half."Talent scarcity is a significant global challenge, and so equitable access to skilling, resources and opportunities needs to be a fundamental part of addressing this. However, when it comes to AI, demand continues to grow at an unprecedented rate, and so does the AI equity gap it is creating,” said Randstad CEO, Sander van ‘t Noordende, commenting on the findings.He warned that, “unless we recognize and take active steps to address this, the pool of workers who are prepared for the future of work will be too small—creating even more shortages across industries.”MORE FROM FORBES ADVISORBest High-Yield Savings Accounts Of 2024By Kevin Payne, ContributorBest 5% Interest Savings Accounts of 2024By Cassidy Horton, ContributorThe data is particularly concerning considering a growing body of research showing that AI skills are set to transform the nature of the labor market and existing jobs.Last year, a McKinsey analysis predicted that by 2030, gen AI could have automated 29.5% of the hours worked in the U.S. economy, up from about 21.5% at the time the forecast was published. Goldman Sachs, meanwhile, has projected that AI could automate up to the equivalent of 300 million full-time jobs in the U.S. and Europe.In the report accompanying its research findings, Randstad provides a series of recommendations to address the AI skills gap and its potential effects.Organizations, the group notes, must “adopt faster, more inclusive skilling approaches to ensure that all demographics can keep up with rapidly evolving AI technologies.” Companies must also “critically assess both the potential and limitations of AI, addressing biases and ensuring that talent is well-prepared to use the technology effectively.”Randstad also urges employers to “understand the unique barriers different groups face in AI adoption and tailor skilling opportunities to meet these diverse needs” and to explore partnerships with “educational institutions and societal organizations” in order to “bridge AI skills gaps and ensure long-term equity across all demographics.” 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); Randstad’s study was conducted across Europe, Asia-Pacific and North America and is primarily based on data from 12,429 respondents in 15 countries. That data was collected over the course of two weeks in August 2024.
7 months ago
Forbes
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21
AI skills gap
2025-06-17 14:02:56
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The AI Skills Gap Is Slowing Down Supply Chains
https://www.forbes.com/sites/kolawolesamueladebayo/2025/04/25/the-ai-skills-gap-is-slowing-down-supply-chains/
The Literacy Gap That Could Break The Chain. While AI continues to advance at breakneck speed, the AI talent gap is widening even further.
Without workers who understand AI, even the smartest tools stall. Inside the urgent push to close ... More the supply chain’s most overlooked gap.gettyIt’s easy to assume that AI will fix supply chains. That it’ll iron out inefficiencies, forecast demand and optimize logistics with the cold precision of code. But as companies rush to deploy AI, many are learning very quickly that technology — including the headline-spinning, hype-backed and capital intensive AI — doesn’t scale without people who understand it.“The phrase ‘AI-ready workforce’ gets thrown around a lot,” said Abe Eshkenazi, CEO of Association for Supply Chain Management, also called ASCM, “but in our world, it means professionals who can critically evaluate, interpret and act on AI-driven insights. That’s not a plug-and-play skill.”Why does the supply chain need AI-literate workers right now, and what could a world without that mean for the industry?From Buzzword To Baseline ExpectationOver the past three years, AI has gone from a boardroom buzzword to something in the mold of an operational mandate. So, unsurprisingly, prompt engineering, predictive analytics and digital supply chain literacy are fast becoming baseline expectations for professionals in logistics, procurement, planning and more.Yet, there’s still a big gap between investing in AI tools and equipping teams to wield them, as experts continue to question the ROI on AI investments and deployments.MORE FOR YOUAccording to a global study by Randstad, 75% of companies are adopting AI, but only 35% of workers say they’ve received AI training in the past year. That gap is more than an inconvenience — it’s a liability.Untrained users can misinterpret outputs, distrust the system or simply ignore it altogether. In supply chains, that leads to forecasting errors, inventory mismatches and cascading inefficiencies. In other words, it’s a disaster waiting to happen.The Literacy Gap That Could Break The ChainWhile AI continues to advance at breakneck speed, the AI talent gap is widening even further. According to research by Bain and Company, demand for AI skills has grown 21% annually since 2019 and compensation has increased 11% annually since the same year. 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); The research firm further reported that “a full 44% of executives cited a lack of in-house AI expertise as a key barrier to implementing generative AI,” adding that “the AI talent gap will persist through 2027, affecting global markets unevenly and significantly.”That’s not good news, especially for the supply chain industry where one mistake caused by a lack of understanding of AI systems could prove fatal.Imagine a mid-size logistics company investing in predictive demand AI — but none of its planners know how to interpret the output. The tech stalls. The decision-making reverts to spreadsheets. The ROI vanishes completely.Abe Eshkenazi- CEO, ASCMAssociation for Supply Chain ManagementThat’s why ASCM moved to fill this gap by launching an AI-focused Technology Certificate in response to the urgent need for AI literacy. The program, said Eshkenazi, doesn't just teach professionals how AI works but also shows them the bigger picture of how it fits into their roles — from making sense of data to insights-driven business operations and more.The goal? Eshkenazi told me it is to build a workforce that collaborates with AI, not just coexists with it.“Technology without people is just shelfware,” Eshkenazi noted. “We’ve seen certified professionals accelerate adoption, reduce errors, and contribute to more strategic decision-making.” Early evidence suggests that companies investing in AI-literate teams are not only realizing faster ROI, but also building more resilient operations.Why Resilience MattersThe resilience, which AI literacy helps to build, matters because AI’s greatest promise in supply chains isn’t cost-cutting — it’s agility.Think logistics systems that reroute in real-time based on weather, labor strikes or port delays. Or inventory planning tools that weigh sales velocity, supplier reliability and macroeconomic variables simultaneously. These aren’t hypothetical scenarios, but active use cases in pilot programs around the world.In fact, a 2024 McKinsey report on AI in operations found that companies effectively using AI in their supply chain functions reported a 15% improvement in logistics efficiency and a 35% reduction in inventory-related costs.But the same report warned that the benefits were mostly seen in organizations that had made parallel investments in workforce training.That’s because none of those gains are possible if the human on the other end doesn’t know how to ask the right question — or challenge the wrong answer.AI Isn’t Replacing Global WorkersBut what about the potential for AI to displace the global workforce? Addressing that concern, Eshkenazi explained that AI isn’t replacing people but augmenting them, adding that ASCM positions its certification as a tool for professional evolution, not displacement.“We understand concerns about AI replacing jobs, but our focus is on augmentation,” Eshkenazi says. “AI takes on the routine. Professionals handle strategy, problem-solving, and interpretation. That’s the real future.”Closing Global GapsGlobally, AI adoption patterns differ. North America and East Asia are leading in infrastructure and digital literacy, but developing markets are closing the gap quickly.ASCM is tailoring its training to local realities — ensuring that foundational digital literacy and targeted AI upskilling can meet companies where they are, not just where the industry is heading.In regions where infrastructure is still catching up, ASCM is focused on building awareness, not just advanced skills. That requires leaders who see AI not as a silver bullet, but as a system that’s interdependent with data, people and processes.Smart Tools Need Smarter PeopleThe story here isn’t that companies need more AI. It’s that they need people who know what to do with it. Being AI-ready doesn’t just mean model deployment. It means having a workforce capable of stress-testing outputs, collaborating across functions and spotting blind spots that algorithms can’t.As IBM notes in its report about the AI skills gap, “Even the most advanced AI today cannot operate without humans. Closing the AI skills gap is essential to help organizations prepare for the future of work and accelerate innovation.”Ultimately, the smartest supply chains won’t be the ones with the flashiest tools. They’ll be the ones with people trained to think critically about what those tools are telling them.ASCM is betting on that. And if early signs hold, it’s a bet more companies may want to follow.
1 month ago
Forbes
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22
AI skills gap
2025-06-17 14:02:56
null
Navigating the AI skills gap: aligning leadership vision with frontline capabilities
https://www.techradar.com/pro/navigating-the-ai-skills-gap-aligning-leadership-vision-with-frontline-capabilities
As the promise of AI to rapidly reshape industries intensifies, the gap between having an understanding of AI capabilities and the skills to...
## Headline Navigating the AI skills gap: aligning leadership vision with frontline capabilities ## Subhead Opinion ## Author(s) Orla Daly ## Publication date June 2, 2025 ## Main text of the article As the promise of AI to rapidly reshape industries intensifies, the gap between having an understanding of AI capabilities and the skills to implement AI solutions continues to widen. This divide is particularly pronounced between senior leadership, who drive digital transformation, and frontline workers, who are expected to implement and adapt to these changes and use this technology in their everyday work. Recent research highlights the consequences of the AI skills gap, with one-third of UK employees feeling unprepared to adopt AI in the next one to three years. This disconnect between strategy and day-to-day execution on the ground is further underscored by the fact that 77% of UK tech workers admit to pretending they know more about AI than they actually do – illustrating the urgent need for organizations to bridge this gap and promote organization-wide AI literacy. To address this divide, businesses must move beyond top-down mandates and build AI literacy across their entire workforce. Let’s explore why its important to act now, and how to achieve this in a scalable and effective way. The role of leadership in navigating the AI skills gap When you purchase through links on our site, we may earn an affiliate commission. As the promise of AI to rapidly reshape industries intensifies, the gap between having an understanding of AI capabilities and the skills to implement AI solutions continues to widen. This divide is particularly pronounced between senior leadership, who drive digital transformation, and frontline workers, who are expected to implement and adapt to these changes and use this technology in their everyday work. Recent research highlights the consequences of the AI skills gap, with one-third of UK employees feeling unprepared to adopt AI in the next one to three years. This disconnect between strategy and day-to-day execution on the ground is further underscored by the fact that 77% of UK tech workers admit to pretending they know more about AI than they actually do – illustrating the urgent need for organizations to bridge this gap and promote organization-wide AI literacy. To address this divide, businesses must move beyond top-down mandates and build AI literacy across their entire workforce. AI has the power to enhance efficiency, streamline workflows and improve business operations, transforming organizations across industries. A key element to upskilling efforts beyond understanding general AI capabilities is equipping team members with the ability to identify the opportunities for AI. According to the World Economic Forum’s 2025 Future of Jobs Report, 39% of current skills in the workforce will become outdated within the next five years, with skills gaps remaining the biggest obstacle to organizational preparedness for future markets. As AI transforms ways of working and skills gaps widen, organizations must act now to equip employees with the knowledge necessary to understand AI applications and leverage them effectively. First and foremost, businesses must recognize that AI literacy is no longer a nice-to-have, but a necessity. Employees need a foundational understanding of how AI works, where it adds business value and how it can be integrated into daily operations. For IT professionals, understanding AI fundamentals, such as ethical use, large language modelling and data privacy, is crucial. But technical proficiency alone isn’t enough. Power skills, like critical thinking, communication, experimentation, curiosity and resilience, will be equally important for navigating complex environments and driving innovation. A combination of technical and power skills ensures employees can thrive in their current roles, adapt to evolving technologies and build skills for the future. To embed AI literacy across the entire organization, leadership must take an active role in championing AI literacy initiatives. Without visible executive support, companies risk fragmented adoption and widening disparities in AI understanding between senior leaders and frontline workers. AI must be embraced holistically across all levels, from the boardroom to the frontline. With concern over the AI skills gap growing, 66% of C-Suite executives plan to recruit external AI-skilled talent, while 34% intend to ‘build’ talent internally by training existing employees. This split reflects the broader challenge of staying competitive in a landscape where AI capabilities are impacting the business landscape at a rapid pace. However, as skill lifespans shorten, especially in areas like machine learning, generative AI and data science, businesses can’t solely rely on external hires to stay ahead. The pace of change means that today’s skills can quickly become outdated and hiring new talent each time a skill becomes obsolete is not sustainable or cost-effective. Instead, organizations should strike a balance between hiring new talent and investing in continuous learning and reskilling for existing teams. This starts by assessing the existing skillsets in their team. By conducting baseline evaluations, businesses can compare current skills against benchmarks to identify areas for improvement. This targeted approach ensures learning initiatives are relevant, measurable and aligned with strategic business goals, maximising resource efficiency and impact. Bringing existing employees along on this journey by assessing their existing AI skills and upskilling them appropriately will lead to deeper benefits beyond technical proficiency. This approach also boosts employee retention by demonstrating a clear investment in their growth while also improving the quality of and engagement in their work. Rather than relying on ad hoc training sessions, organizations should establish structured, strategic AI literacy programs that equip frontline workers with the knowledge and skills required to identify AI use cases and drive AI adoption. Building this requires a multifaceted approach to learning, including programs that provide access to foundational AI and data skills, but they are only one piece of the puzzle. Programs such as instructor-led sessions that contextualize AI within specific roles and industries and simulation-based learning allow employees to engage with realistic, AI-powered scenarios. By embedding these learning experiences into workforce development, organizations can future-proof their workforce with the skills needed for the AI revolution. Additionally, continuous learning and adaptability must be central to organizational culture, equipping employees with current and future required skilling opportunities, as technical skill lifespans shorten. Creating AI literacy frameworks ultimately helps teams stay ahead of technological shifts while building overall resilience. AI literacy is no longer just for tech teams. It’s a business imperative across the entire workforce. For businesses to reduce the AI skills gap, it becomes even more crucial to bridge the divide between senior leadership and frontline workers. By assessing existing skill sets, implementing comprehensive AI upskilling throughout the organization and fostering a culture of continuous learning, businesses can build an AI-ready workforce that is both prepared for and on board with their business strategy.
2 weeks ago
TechRadar
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23
AI skills gap
2025-06-17 14:02:56
null
The AI fluency gap is growing. Are you keeping up?
https://www.fastcompany.com/91351037/the-ai-fluency-gap-is-growing-are-you-keeping-up
If AI feels out of reach, you're not alone. But these five steps will close the gap—fast.
```plain Headline: Example Headline Subhead: This is an example subhead Author(s): John Doe Publication date: 2022-01-01 Main text of the article: Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. ```
4 days ago
Fast Company
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24
AI skills gap
2025-06-17 14:02:56
null
Udemy Unveils Next-Gen AI Training Platform: 11M+ Already Enrolled in AI Courses
https://www.stocktitan.net/news/UDMY/udemy-launches-new-ai-fluency-packages-to-accelerate-workforce-9qhwfssjsju5.html
New AI Readiness and Growth packages feature real-time course updates, AI coaching assistant, and role-specific learning paths.
Udemy Launches New AI Fluency Packages to Accelerate Workforce Transformation June 12, 2025 - 11:00 AM Hugo Sarrazin New packages help professionals and organizations upskill and reskill in AI to drive business outcomes SAN FRANCISCO--(BUSINESS WIRE)--Udemy (Nasdaq: UDMY), a leading AI-powered skills development platform, today announced a suite of new AI Packages designed to help organizations and professionals develop AI fluency. The new packages provide end-to-end skills development to accelerate an organization’s AI transformation, underscoring Udemy’s position as a trusted upskilling and reskilling partner to nearly 80 million learners and more than 17,000 organizations across the globe. “At Udemy, we believe that building the right AI skills, sharpening them over time, and keeping them up to date is the key to driving stronger business performance,” said Hugo Sarrazin, President & CEO at Udemy. “As AI adoption surges across industries globally, Udemy’s dynamic marketplace enables us to respond to technological shifts with unprecedented agility. While traditional publishers struggle to keep pace, our platform can introduce and update cutting-edge AI reskilling/upskilling journeys in real-time, ensuring learners and organizations are equipped with the most relevant skills.” In today’s uncertain global labor market, and with the rapid pace of change in AI, organizations need expert guidance and support to assess their current skills gaps and develop a clear path forward to drive better outcomes. That’s exactly what Udemy’s new AI Packages are designed to support. Customers can get access to: 1. **The AI Readiness Package** for building foundational AI skills. The AI Readiness Package includes 50 curated courses along with a structured introduction to AI concepts. Learners will also have access to the Udemy AI Assistant which provides real-time coaching and in-course support to help the learner better understand the concepts and tools being taught. Additionally, learners can develop real-world soft skills through immersive, instructor-designed conversation simulations with Udemy’s AI-powered Role Play. 2. **The AI Growth Package** to support teams who want more specialized AI skills. The AI Growth Package is targeted at teams looking to develop advanced, role-specific skills including generative AI for performance and productivity, neural networks for data science and engineering, and agentic AI. It builds on the AI Readiness Package and includes an additional 30+ curated learning paths, multilingual support, and certification prep, along with access to both the Udemy AI Assistant and Udemy AI Skills Mapping, which helps leaders develop personalized and targeted learning paths at scale. These new packages build on the success of Udemy’s standalone AI courses, which have already surpassed 11 million enrollments, and the recently launched “AI for Business Leaders” program designed to help senior leaders build core AI skills as they guide their teams toward developing an AI habit and, ultimately, AI fluency. To complement the new offerings and support more advanced use cases, including broader digital transformation initiatives, Udemy continues to offer a comprehensive Enterprise Plan that includes access to 30,000+ premium courses and 200+ certification paths as well as a full suite of Professional Services that gives learning and business leaders access to expert help so that they can develop a fully customized, end-to-end program aligned with business objectives. With the introduction of these new packages, Udemy continues to expand its suite of AI offerings – spanning both content and platform – delivering on its mission to transform lives through learning and drive AI fluency for organizations and professionals worldwide. To learn more about Udemy’s unique approach to AI upskilling and reskilling, visit https://business.udemy.com/spotlight/ai-upskilling. About Udemy Udemy (Nasdaq: UDMY) is an AI-powered skills development platform transforming how companies and individuals across the world build the capabilities needed to thrive in a rapidly evolving workplace. By combining on-demand, multi-language content with real-time innovation, Udemy delivers personalized experiences that empower organizations to scale workforce development and help individuals build the technical, business, and soft skills most relevant to their careers. Today, thousands of companies, including Ericsson, Samsung SDS America, On24, The World Bank, and Volkswagen, rely on Udemy Business for its enterprise solutions to build agile, future-ready teams. Udemy is headquartered in San Francisco, with hubs across the United States, Australia, India, Ireland, Mexico and Türkiye. Media Contact Risha Tyagi Senior Global Corporate Communications Manager [email protected] Investor Contact Dennis Walsh Vice President, Investor Relations [email protected] Source: Udemy
4 days ago
Stock Titan
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25
AI skills gap
2025-06-17 14:02:56
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AI skills gap widens: Employers embrace AI, but employees left behind
https://www.worklife.news/technology/ai-skills-gap-widens-employers-embrace-ai-but-employees-left-behind/
Even though 75% of companies have adopted AI technology, just one-third of employees got AI training in the last year, according to a survey by...
AI skills gap widens: Employers embrace AI, but employees left behind By Tony Case November 13, 2024 A concerning disconnect has emerged between the rapid adoption of AI and employers’ readiness to implement it effectively and equitably. Multiple recent studies point to the range of challenges faced by people managers, who must manage AI integration while ensuring fair access to training and development opportunities. Even though 75% of companies have adopted AI technology, just one-third of employees got AI training in the last year, according to a survey by HR consultancy Randstad. That disparity is further complicated by major demographic gaps in AI skills and training access. “Talent scarcity is a significant global challenge, and so equitable access to skilling, resources and opportunities needs to be a fundamental part of addressing this,” stated Randstad CEO Sander van’t Noordende. “Unless we recognize and take active steps to address this, the pool of workers who are prepared for the future of work will be too small, creating even more shortages across industries.” The gender divide regarding AI skills is particularly stark, with men making up 7 in 10 workers with such expertise versus just 3 in 10 women, according to the survey, based on responses from more than 12,000 workers worldwide. That alarming gap is evident in advanced areas such as deep learning, where three-quarters of practitioners are male. There are some encouraging signs among newcomers to the workforce, however, where women’s representation in AI roles rose to 34% among employees with less than a year’s experience. Age-related inequity is also a concern. While 45% of Gen Z workers have been offered AI-skilling opportunities, only half that number of boomers have received such training, per Randstad. The generational divide is reflected in AI adoption rates, with nearly half of Gen Z actively using AI compared to about one-third of boomers. “Unless we recognize and take active steps to address this, the pool of workers who are prepared for the future of work will be too small, creating even more shortages across industries.” Sander van’t Noordende, CEO, Randstad. An earlier study by the global employment nonprofit Generation found that while just 15% of workers over age 45 use AI tools, those who do enjoy a range of tangible benefits, including improved productivity, work quality and job satisfaction. That said, the low adoption rate among older workers suggests that many may not take full advantage of AI’s potential, potentially because their jobs don’t necessitate their using AI tools or they lack proper training. The survey was based on responses by more than 1,500 employees and managers in the U.K. and Europe. In addition, a recent survey of 800 American workers aged 55 and older by Carewell, an at-home caregiving provider, found that half of older employees are interested in receiving AI training, while 13% were interested in changing industries to find a job that uses AI more. As the research suggests, AI implementation has the potential to exacerbate ageism in the workplace, said Anika Heavener, vp of innovation and investments at The SCAN Foundation, a charity that works on behalf of more seasoned employees. “Older workers offer unique skills and experience, and employers need to provide them with the training and support they need to reap the benefits of AI and successfully integrate the technology into their day-to-day jobs,” she said. Another gap exists when it comes to AI — that between what bosses expect of AI usage and how employees are actually employing the technology. A just-released study from Salesforce-owned workplace app Slack points to the disparity between how bosses expect their employees to utilize AI and how they actually put it to use. Executives want team members to prioritize learning and skills development via AI, while employees see AI as most useful for administrative tasks. The study, based on responses from more than 1,000 workers in the U.K., found that when it comes to training, 3 out of 5 employees say a prospective employer’s ability to provide and enable workers on AI tools is a factor in their job search. All told, 65% of workers have spent less than 5 hours learning how to use AI, while 72% feel urgency to become AI experts. More than half (54%) of those surveyed said they were uncomfortable telling their manager they used AI for work, for reasons ranging from fear of being seen as less competent or lazy to the perception that using the technology is cheating. Meanwhile, a recent study by compliance training platform Traliant reveals challenges in AI governance and risk management. Despite 94% of HR departments using AI, 40% either lack or are uncertain about having an acceptable AI usage policy. Even more concerning, 2 in 10 organizations have never provided AI training to their workforce, while about one-third have never communicated guidelines about the proper usage of AI. The survey was based on responses from 500 HR professionals. “While AI brings vast opportunities for driving organizational success and fostering talent growth, it must be accompanied by clear acceptable use policies and guidelines to safely mitigate risk.” Michael Johnson, chief strategy officer, Traliant. “While AI brings vast opportunities for driving organizational success and fostering talent growth, it must be accompanied by clear acceptable use policies and guidelines to safely mitigate risk,” said Michael Johnson, chief strategy officer at Traliant. To successfully navigate the world of AI, HR professionals must set clear expectations when it comes to managing the technology and how employees can use it effectively, Johnson stressed. The research suggests critical steps for organizations in closing readiness gaps, including: * Implementing inclusive skilling approaches that accommodate all demographics and learning styles * Developing clear AI usage policies and guidelines * Addressing data privacy and security concerns, which more than 6 in 10 HR people cite as their top AI-related worry * Creating personalized training programs that consider different groups’ unique barriers to AI adoption * Fostering partnerships between businesses, educational institutions and social organizations HR leaders, the survey emphasizes, remain “at the forefront of AI policy compliance and making sure employees understand how to responsibly use these tools,” said John Brushwood, the company’s compliance counsel. To take full advantage of an AI-powered future, he argued, HR departments must work to close the education gap and ensure their organizations are equipped with the right training and policies to empower their people “to leverage AI ethically and responsibly.”
7 months ago
WorkLife
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26
AI skills gap
2025-06-17 14:02:56
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OneStream Study Uncovers AI Talent and Skills Gap in Corporate Finance
https://www.prnewswire.com/news-releases/onestream-study-uncovers-ai-talent-and-skills-gap-in-corporate-finance-302451852.html
Yet, as AI becomes ubiquitous, the study also uncovered a stark drop in AI skills readiness and confidence as careers advance. 89% of finance...
OneStream Study Uncovers AI Talent and Skills Gap in Corporate Finance Subhead: 75% of finance leaders say their organization lacks the skills to implement and optimize AI and machine learning technologies. Author: OneStream Software Publication Date: March 15, 2023 A new study from OneStream Software reveals a significant gap in AI talent and skills within corporate finance teams. The study, which surveyed over 200 finance leaders, found that 75% of respondents say their organization lacks the skills to implement and optimize AI and machine learning technologies. This shortage of skilled professionals is hindering the adoption of AI and machine learning in finance, despite the potential benefits of increased efficiency and improved decision-making. The study also found that 60% of finance leaders believe that AI and machine learning will have a significant impact on their organization's financial close and reporting processes, but only 25% have implemented these technologies to date. Additionally, 70% of respondents say that their organization is struggling to attract and retain top talent in AI and machine learning, citing a lack of skilled professionals and high competition for talent as major challenges. The findings of the study highlight the need for finance teams to develop the skills and expertise necessary to implement and optimize AI and machine learning technologies. This can be achieved through training and development programs, as well as partnerships with external experts and vendors. By addressing the AI talent and skills gap, finance teams can unlock the full potential of AI and machine learning and drive business success.
1 month ago
PR Newswire
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27
AI skills gap
2025-06-17 14:02:56
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Companies face growing shortage of AI skills in the workforce
https://www.staffingindustry.com/news/global-daily-news/companies-face-growing-shortage-of-ai-skills-in-the-workforce
Main article. Companies worldwide face a growing shortage of skilled professionals as they race to implement artificial intelligence, research by Bain & Co. has...
Companies face growing shortage of AI skills in the workforce Felicity Glover March 5, 2025 Companies worldwide face a growing shortage of skilled professionals as they race to implement artificial intelligence, research by Bain & Co. has found. AI-related job postings have jumped by 21% every year since 2019, with compensation growing 11% annually during the same period, according to the research. However, the number of qualified candidates has failed to keep pace with demand, creating a widening talent gap that is slowing AI adoption for companies, Bain & Co. said. According to a recent global survey by Workday, AI is increasingly being used in the workplace; the top three uses for the technology are data analysis, fraud detection and security monitoring, and HR and recruiting. “AI is at the forefront of corporate transformation, but without the right talent, businesses will struggle to move from ambition to implementation,” Sarah Elk, head of AI, insights and solutions for the Americas at Bain & Co., said in a press release. “Executives see the growing AI talent gap as a major roadblock to innovation, limiting businesses’ ability to scale and compete in an AI-driven world.” The study found that nearly half...
3 months ago
Staffing Industry Analysts
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AI skills gap
2025-06-17 14:02:56
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