--- title: "How well do job retraining programs work? · AI Fault Line" url: https://aifaultline.com/research/p/title-33a0771f4c65c95d/ description: "AI Fault Line is a neutral, evidence-cited field guide to why experts looking at the same developments disagree about AI's effect on productivity, jobs, inequality, regulation and the pace of change." --- [Research](https://aifaultline.com/research/) # How well do job retraining programs work? Anthropic (AI lab research) · 12 Aug 2026 [Read original source](https://www.anthropic.com/research/reviewing-the-evidence-on-worker-retraining-programs) Open access Not peer reviewed Where this sits in the debate - [Will AI destroy more jobs than it creates?](https://aifaultline.com/debate/jobs/) - [Should governments act on AI now?](https://aifaultline.com/debate/regulation/) Direction of the finding as read from the abstract by an AI model ([AI-written](https://aifaultline.com/about/)). ## Source excerpt Retraining workers is the most popular policy option for mitigating labor market disruption from AI. In this report, the authors investigate whether these programs would work in the face of significant labor market disruption. The review is part of our Economic Research team's work on AI's effects on the economy. Our Economic Index tracks how AI is being used across occupations and industries. Earlier this year, we published a framework for measuring AI's effects on the labor market and identifying the jobs most likely to be affected. Our Economic Policy Framework sets out possible policy responses, including worker retraining, across a range of scenarios. We want to understand the evidence behind each of these policy responses. The review draws on 56 randomized US studies, combined in a new meta-analysis, along with experimental evidence from Europe. On average, job training programs produce positive but modest effects: for each person offered a training slot, employment rises by two to three percentage points and earnings by roughly $1,000 a year, against a cost of about $13,000. Counting the added tax revenue and reduced benefit payments, the government recovers more than half of what it spends, and programs roughly break even overall. A small set of “sector programs”—programs that partner with employers in a high-demand industry and place people directly into jobs in that field—produce gains several times larger. But attempts to replicate them have often failed. The authors conclude that if AI displaces workers at scale, existing retraining programs would likely fall short. Their central recommendation is to invest now in demonstrating, evaluating, and scaling the most promising programs, including through an effort to rapidly expand a leading program for a specific group of workers and rigorously measure the results. Our Economic Futures Research Fund is designed to fund investigations into questions like these. ## About this publication **Lab or institute research, not peer reviewed.** A report or blog post published by an AI lab or research institute on its own site. It has not been through independent peer review, and the publisher may have a stake in the findings. Published 2026 (2 months ago) Citations Not recorded for this source Citation counts come from OpenAlex; none are recorded for this source — absence of a count is not absence of citations. [Chart: published 2026] ## More on this topic Related by theme, not necessarily by method or conclusion. - [The Effects of Generative AI on High Skilled Work: Evidence from Three Field Experiments with Software Developers](https://aifaultline.com/research/p/doi-10-2139-ssrn-4945566/) SSRN · 2024 - [GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models](https://aifaultline.com/research/p/doi-10-48550-arxiv-2303-10130/) arXiv · 2023 - [Experimental evidence on the productivity effects of generative artificial intelligence](https://aifaultline.com/research/p/doi-10-1126-science-adh2586/) Science · 2023 - [The simple macroeconomics of AI](https://aifaultline.com/research/p/doi-10-1093-epolic-eiae042/) Economic Policy · 2024 Overview assembled automatically from collected metadata. [How this site is built](https://aifaultline.com/about/).