Anthropic launches the “Economic Futures Program” to track—and shape—AI’s economic fallout

By Thorsten Meyer, 28 June 2025

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A quick primer

Generative AI pioneer Anthropic has unveiled the Economic Futures Program, a multi‑year effort to fund research, build new data sets and convene policymakers around one pressing question: what will rapid AI diffusion do to jobs, productivity and economic policy? The initiative extends Anthropic’s earlier Economic Index, which already publishes anonymised usage data from its Claude models.

Why Anthropic says the moment is urgent

Anthropic chief executive Dario Amodei recently warned that AI could wipe out “half of all entry‑level white‑collar jobs” within five years, with unemployment potentially spiking to 20 percent.

Those dire projections have intensified calls—from Capitol Hill to Brussels—for hard evidence on where automation is already hitting and how policy should respond. Sarah Heck, Anthropic’s head of policy programmes, argues that debates must be grounded in “evidence, not predetermined views,” and that labs have a duty to open up data and catalyse independent scholarship.

Inside the Economic Futures Program

The three tracks are intentionally linked: better data ⇒ better research ⇒ better‑targeted policy. Strategic partnerships with universities, think‑tanks and multilateral bodies are encouraged, with bespoke API credits and technical support on offer.

How it stacks up against rival efforts

OpenAI’s Economic Blueprint (January 2025) emphasises AI‑literacy programmes, regional “AI economic zones” and infrastructure investment. By contrast, Anthropic’s scheme is narrower but deeper: it subsidises primary research, opens proprietary usage data and seeks near‑term (≤ 18‑month) policy pilots. Analysts view the two as complementary—OpenAI addresses how to grow the AI economy, while Anthropic asks how to cushion or redirect its shocks.

Early reception

• Researchers welcome the six‑month turnaround, which fits academic calendars yet forces timely outputs.
• Policy wonks like that grants cover data acquisition and that symposia invite diverse ideological views—not just UBI advocates.
• Critics note that funding from an AI lab could nudge scholars to “grade their own homework,” though open‑sourcing data mitigates this risk. 

What happens next?

1. Apply – Economists, data scientists and policy analysts can submit proposals via anthropic.com/economic‑futures today.
2. Watch the metrics – Expect the first expanded Index data drop by late summer, coinciding with grant announcements.
3. Policy spotlight – Proposals selected for DC and EU symposia will shape talking points ahead of the G20 digital economy meetings later this year.

If the programme succeeds, it could create a virtuous cycle: richer data enable clearer diagnostics, which in turn inform targeted labour‑market transitions, productivity‑boosting incentives and modernised fiscal regimes. If it fails, regulators may legislate in the dark—heightening the risk that AI’s gains accrue to a few while its costs socialise to many.

Either way, the stakes are no longer theoretical. As Anthropic itself admits, “Society’s response to AI is not predetermined.”