Life-long learning as an integrated part of professional careers, responding to challenges and opportunities posed by AI.

In a fast-changing world where careers change equally fast, life long learning is the most effective way to stay up to date with the latest AI developments. While it takes time to adjust school curricula, university degrees and vocational programmes it's possible to test new educational formats that are more accessible and flexible for professionals.

Life-long learning in AI can consist of several pillars:

1) Skills training: enabling employees to acquire new skills ("reskilling")

2) Foster creativity: give space for inspiration (unique to the human and not programmable by AI). Bring innovation into everything they do.

3) Nanodegrees: short and intensive specialization degrees

4) Professional exchanges: job swaps, international experience, academia-industry-government exchanges