Preparing for AI’s economic impact: exploring policy responses

How will the arrival of powerful AI systems change the structure of the economy? We are uncertain, and so are external experts. But as AI systems continue to improve, and are adopted at an ever-larger scale, it’s crucial there is more discussion about the tools policymakers could use to respond to AI’s economic impacts—whatever their nature. To help with this, we’re sharing several economic policy ideas that merit further study.

Since launching the Anthropic Economic Index, we’ve observed an important shift in AI use. Users are becoming increasingly likely to delegate full tasks to Claude, “collaborating” with Claude less. As AI models continue to work independently for longer periods of time, and as more employers adopt AI to improve their productivity, we expect this trend to accelerate. The implications for the workforce are uncertain.

…

1. Invest in upskilling through workforce training grants

At our DC Symposium, Abigail Ball, Executive Director of American Compass, presented the Workforce Training Grant—a proposal she developed with colleague Oren Cass to direct public resources toward on-the-job training.

Under this model, governments would provide substantial annual subsidies (Ball and Cass suggest $10,000 per year in the US) directly to employers who create formal trainee positions with structured training programs. This training could take multiple forms: programs operated by individual employers, by employer consortia or industry associations, through partnerships between employers and organized labor, or by technical schools and community colleges working alongside employers.

American Compass proposes redirecting existing higher education subsidies to fund this program. But a range of other funding mechanisms might also deserve consideration—including the possibility of using taxes on AI consumption to support workforce development initiatives.