Even if we agree on where we want to end up, the road there matters. Jobs may disappear faster than new ones appear, and the losses will not fall evenly. Some professions, regions and age groups will be hit first and hardest.
Lessons from the past
Earlier waves of change, such as the decline of coal mining and heavy industry in Britain and elsewhere, brought long-term gains to the economy as a whole but left some communities struggling for decades. The aggregate numbers looked fine while particular towns lost their main source of work, pride and identity. A fair AI transition has to avoid repeating that.
Ideas to explore
- Wage insurance. Topping up the income of people who move to a lower-paid job after being displaced.
- Retraining accounts. Giving everyone a personal fund for learning new skills throughout their life.
- Stronger safety nets. Modernising unemployment support for a faster-changing labour market.
- Regional investment. Directing new industries and public investment to the places hit hardest.
- Early warning. Tracking which jobs are changing fastest, so support arrives before people are laid off rather than after.
Open questions
- How fast is the change really happening, and how will we know?
- Should employers that automate share responsibility for the workers they replace?
- Who supports workers in their 50s and 60s, for whom retraining may be hardest?
This pillar is just beginning. Share your thoughts and experiences in the comments.
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