Anthropic announces a $200 million fund to finance ambitious external research on how to prepare society for the economic impacts of artificial intelligence. What programs actually make the economy more flexible, share the gains, and reduce harm when automation moves fast? That's the central question.
What is the fund
The Economic Futures Research Fund is a bet on building empirical evidence about interventions proposed in the Economic Policy Framework (EPF) and other open ideas. Anthropic is looking for big, creative projects: large randomized trials, ambitious pilots, program evaluations and field experiments that can deliver early, actionable signals.
Goal: understand which interventions make the economy more resilient and how to share AI's benefits before and during disruption.
The fund is global, although many examples on the agenda are from the United States. Typical funding ranges between $5 and $30 million per project, with flexibility to go higher for high-potential cases. They won't fund projects under $1 million from this fund.
Eligible applicants include accredited universities, research institutes, public policy organizations and NGOs experienced in field experiments. Individuals can participate as principal investigators within institutional proposals, but not as solo applicants.
Priority research areas
The agenda prioritizes five areas where evidence is scarce and where results could change policy and practice.
- Shaping AI's impact on workers at the firm and workplace level
- Explore how different designs for integrating AI into companies affect productivity and how gains are shared.
- Field experiments comparing co-designed approaches with workers versus top-down rollouts.
- Evaluations of business incentives, retention credits and employer co-investment requirements.
- Equipping people to navigate AI-driven transitions
- Test retraining programs, job placement services and certification reforms built for rapid transitions.
- Experiments for early-career paths: apprenticeships, mentoring and rotations when junior tasks get automated.
- Educational pilots tied to long-term labor outcomes and packages that combine financial support with intensive training.
- Modernizing income support for AI-driven displacement
- Unemployment insurance reforms adapted to broader, more persistent displacements: eligibility, automatic triggers and integration with wage insurance or training.
- Pilots of basic assistance for people who exhaust benefits or are left out of current systems.
- Longer-duration unconditional income trials measuring employment, wellbeing, child development and time use.
- Building worker stakes in AI-driven growth before disruption arrives
- Randomized tests of pre-distributive capital accounts, employee equity programs or sectoral dividends.
- Community pilots where AI infrastructure or AI-driven firms generate direct returns for local residents.
- Comparative studies on which tax bases and distribution mechanisms deliver the best outcomes for workers and families.
- Generating new evidence on public investments
- Pilots that directly fund jobs focused on public goods (education, community health, libraries, culture) and measure social outcomes.
- Trials of public services enhanced with AI (legal advice, healthcare, financial guidance) for underserved populations.
- Pilots of guaranteed jobs or territorial interventions that coordinate investment in workforce, services and infrastructure.
How they plan to work and why it's different
Anthropic wants early signals, not only slow academic publications. They're seeking partnerships that share learnings publicly at key milestones so governments and other actors can act quickly. They're also willing to fund unproven ideas if those can generate useful evidence fast.
This is an evolution of the Economic Futures program: they're moving from many small grants to fewer, larger, focused bets because they believe that'll yield greater impact. At the same time, they value the ability to scale effective programs from small pilots once efficacy is shown.
Practical implications: why you should care
Are you a worker, entrepreneur, policymaker or local leader? These projects could shape the supports, training and tax policies available in the coming decade. Imagine having clear evidence on which retraining programs work in specific sectors; whether a retention credit prevents mass layoffs; or if a local AI dividend improves a community's economic stability.
For entrepreneurs and social organizations, this opens opportunities to design scalable pilots and social business models that align with public policy. For governments, it's an invitation to consider controlled trials before rolling out large-scale reforms.
What the initiative complements
Beyond the fund, Anthropic is launching tools and supporting pieces in its ecosystem: a connector to explore data on AI and work, and additional contributions to organizations like Public First Action. They also run separate calls for AI uses in science and health, for example credits for research on rare diseases.
The essence is clear: proposing policies isn't enough, you need field evidence. This $200 million bet aims exactly to generate that evidence.
Original source
https://www.anthropic.com/news/economic-futures-research-fund-agenda