Anthropic Economic Futures program

Anthropic Economic Futures program is sponsored by Anthropic. A multidisciplinary program funding research grants, policy development, and data infrastructure to help society understand and navigate AI's economic transformation.

Anthropic Economic Futures program \ Anthropic Anthropic Economic Futures program A multidisciplinary program funding research grants, policy development, and data infrastructure to help society understand and navigate AI's economic transformation. At Anthropic, we recognize that AI systems are already changing our economy and our work.

Measuring and responding to these changes presents challenging questions that no one entity–including AI labs–can answer. However, we believe that we can help generate the rigorous research and analysis society needs to understand the economic impacts of AI systems and to craft sound policy responses.

That’s why we’re launching the Anthropic Economic Futures program, a multidisciplinary effort that builds upon our existing economic research efforts and consists of three interconnected pillars: Catalyzing Independent Research and Analysis Through research grants, API credits, and strategic partnerships, we aim to support and accelerate investigations into AI’s impact on labor, productivity, and the economy.

Collaborative and Evidence-Based Policy Development Through policy symposia, we will create opportunities for researchers, policymakers, and practitioners to evaluate and exchange policy proposals backed by real-world data. Expanding Economic Measurement and Data Infrastructure We’ll scale the Anthropic Economic Index by creating one of the first longitudinal datasets on AI's economic usage, diffusion, and impact.

We’ll continue to build better measurement tools and methodologies, make our data accessible through regular public releases, and produce novel economic research. These pillars work together: better data enables better research, which in turn informs better policy. Our aim is to build a robust ecosystem for understanding and navigating AI's economic transformation.

The Anthropic Economic Futures Program will invest in economic research and policy proposals to help define the challenges and opportunities of the AI-enabled economy and identify ways to prepare for this shift. Economic Futures Research Awards Economic Futures Research Awards will offer grants between $10,000 and $50,000 for empirical research on AI’s economic impacts.

These grants seek to rapidly develop a robust evidence base that can inform policymakers and future research initiatives. We ask that recipients present and share their findings within a six-month timeframe after receiving their grant.

Original empirical research using econometric methods, data analysis, or novel data collection Studies examining AI's labor market effects, productivity impacts, or distributional consequences Research that can be completed within 6 months Research funding ($10,000 - $50,000) for data access, hiring assistants, or other direct research costs.

$5,000 in Claude API credits for computational analysis Consultation on analyzing Anthropic Economic Index data We encourage economists with strong quantitative research backgrounds to apply. This program is particularly well-suited for academic economists, data scientists, and PhD students with strong quantitative research backgrounds. We are not currently accepting applications.

Economic Futures Symposia Anthropic, in collaboration with the McCourt School of Public Policy at Georgetown University, and the Data Science Institute at The London School of Economics and Political Science (LSE), will host symposia that will bring together policymakers, researchers, and industry to examine AI’s impact on the economy and potential policy responses.

We are seeking evidence-based proposals that provide actionable recommendations. Top proposals will be invited to present at and participate in the symposia.

Concrete policy recommendations based on empirical evidence, with clear implementation pathways Proposals addressing productivity adaptation, labor transitions, fiscal policy, or social insurance 2-3 page briefs outlining specific policy levers and stakeholder engagement strategies Ideas that could be adopted by governments or organizations within 18 months Invitation to present at Economic Futures symposia in the U.S. and Europe Travel, accommodation, and honorarium for symposium participation Direct access to policymakers, researchers, and industry leaders Follow-on opportunities to support implementation We encourage researchers, policy practitioners, and economists focused on applied policy work to apply.

Timeline: DC application deadline: July 25, 2025 London application deadline: September 12, 2025 Notifications: Mid-August (DC), mid-September (London) McCourt School of Public Policy, Georgetown University, Washington, D. C.

- September 2025 Data Science Institute at The London School of Economics and Political Science (LSE), London - November 2025 Strategic partnerships with research institutions We are eager to partner with independent research institutions to grow the AI economic research and policy ecosystem. We will provide partners with resources to support research into AI’s economic use and application.

If you are an independent research institution interested in partnering with us on our Economic Futures work, please email a brief description of your organization and the specific research efforts you propose to support to economicfutures@anthropic. com . We are interested in generating research and policy responses to the topics below.

If you have a compelling research or policy proposal that is not included in the list below, we still encourage you to apply. Understanding economic impacts How quickly are AI-enabled jobs emerging relative to job displacement? What are the actual flows of workers between occupations as AI adoption increases?

Which sectors are seeing net job creation versus reduction? What characteristics predict successful transitions to new roles? Which human skills will remain valuable as AI advances?

How should education and professional licensing evolve? What new capabilities emerge when humans work alongside AI systems? Why might AI's capabilities not immediately translate to measured productivity growth?

How can we accelerate beneficial adoption? Which early adopters are seeing dramatic productivity gains, and what can we learn from them? Value creation and new industries Where is AI enabling entirely new forms of economic value?

What industries and job categories are emerging that didn't exist before? How can we measure economic gains beyond traditional productivity metrics? Democratization of capabilities How is AI lowering barriers to entrepreneurship and creative work?

What evidence do we see of individuals using AI to compete with larger organizations? How can we quantify the economic value of democratized access to advanced capabilities? Developing policy responses Human capital enhancement How can we help people leverage AI to dramatically increase their own productivity and earning potential?

Fiscal policy in an AI economy How should tax systems adapt as AI changes the relative productivity of capital versus labor? How can we ensure states remain fiscally solvent in an era of AI-driven economic transformation? Innovation and opportunity creation How can policy encourage the development of new industries and job categories that AI makes possible?

What regulatory reforms would unleash AI's potential for economic growth? Managing AI’s societal impacts How do we support entrepreneurship and risk-taking in an AI-enabled economy? How do we calibrate the social safety net to respond to potentially volatile employment patterns?

What mix of retraining, income support, and job matching would be most effective? How can we help workers move quickly into higher-value roles that AI creates? Accelerating beneficial adoption What policies can reduce barriers to AI adoption for small businesses and entrepreneurs?

How can we ensure the productivity benefits of AI diffuse rapidly across all sectors? How can we ensure that people around the world benefit from the AI-enabled economy? How might AI improve the growth and outcomes of developing economies?

What are global public goods that are threatened–or could be better protected–by AI?