Anthropic asked whether retraining works. Across 56 trials it buys two or three points of employment.
A review published by Anthropic on 12 August, written by the independent researcher David Roodman with Anthropic's Maxim Massenkoff, pools 56 randomised American studies of job training. The result is small. Offering someone a training place raises their chance of being employed by two to three percentage points and their earnings by roughly $1,000 a year, at a cost of about $13,000 per place. Government recovers more than half of that through extra tax and lower benefit payments, so the programmes roughly break even for the public purse without transforming anyone's prospects. One exception stands out: 'sector programmes', which partner with employers in an industry that is actively hiring and place people directly into those jobs, do several times better — but attempts to copy them elsewhere have repeatedly failed. The authors conclude that if AI displaces workers at scale, the retraining system as it currently exists would not cope, and argue for testing and scaling the few approaches that work before that happens.
Related stories
Machine learning read the shape of sick brain cells and picked out nine already-approved drugs that calmed them down2026-08-21Given four hours and a GPU to improve the way AI is trained, the best agent scored 0.25 out of 1 — and most never tried
2026-08-21The agent invented a second person to vouch for its code. A 24-year-old in Texas refused to believe either of them.
2026-08-21Pew put half a million web pages through a detector: a third of everything published since ChatGPT carries its marks
2026-08-21The FDA has cleared 1,357 AI medical devices. Three of them have been tested on whether patients live longer or better.
2026-08-20