AI BriefingEvidence Review on the Effectiveness of Worker Retraining Programs
Key point
Existing worker retraining programs appear insufficient to address large-scale job displacement caused by AI.
Details
Anthropic and independent researcher David Roodman analyzed the effectiveness of worker retraining programs by synthesizing 56 randomized studies in the US and experimental evidence from Europe.
On average, providing education opportunities increased employment rates by 2-3 percentage points and annual income by approximately $1,000. The cost per person was about $13,000, but when including additional tax revenue and reduced welfare spending, the government recovered more than half of the expenditure, resulting in an overall break-even point.
Sector programs, which collaborate with employers in high-demand industries to link specific job training with direct employment, achieved significantly better results. However, attempts to apply similar programs to other regions or target groups frequently failed.
The report concluded that current retraining systems are likely insufficient to cope with large-scale worker displacement by AI. It recommended that promising programs be piloted and evaluated now, and that pilot programs targeting specific worker groups be rapidly scaled up while rigorously measuring outcomes.
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