A research initiative at the University of Virginia, led by Professor Anton Korinek, that produces and disseminates cutting-edge economic research to help society navigate the transition to transformative AI and guide it toward shared prosperity.
A research initiative at the University of Virginia, led by Professor Anton Korinek, that produces and disseminates cutting-edge economic research to help society navigate the transition to transformative AI and guide it toward shared prosperity.
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Updated 05/18/26Funding Details
Updated 05/18/26- Annual Budget
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Org Details
Updated 05/18/26The Economics of Transformative AI (EconTAI) Initiative is a research center at the University of Virginia, launched in September 2025 with support from the College of Arts and Sciences. It is led by Professor Anton Korinek, who serves as Faculty Director, alongside UVA economists Basil Halperin and Lee Lockwood. The initiative describes itself as the first dedicated research center focused on understanding and preparing the economy for AI systems that may soon match or exceed human-level intelligence. EconTAI's mission is to produce and disseminate cutting-edge economic research that helps society navigate the transition to transformative AI, with a vision of a world in which transformative AI expands prosperity and human flourishing. The initiative pursues five strategic objectives: research excellence, education and field building, policy translation, public understanding, and innovation in methods. Its proximity to Washington, DC enables direct policy engagement. The initiative grew out of years of research by Korinek and collaborators. Korinek previously served as Economics of AI Lead at the Centre for the Governance of AI (GovAI) and developed a free Coursera course on the Economics of AI, supported by the EA Long-Term Future Fund. Together with Ajay Agrawal (University of Toronto) and Erik Brynjolfsson (Stanford), Korinek co-organized the NBER Economics of Transformative AI Workshop held at Stanford in September 2025, supported by the Alfred P. Sloan Foundation and Microsoft, and co-edited the NBER conference volume "The Economics of Transformative AI" forthcoming from the University of Chicago Press in September 2026. Korinek and his collaborators have proposed a research agenda organized around nine Grand Challenges: economic growth, innovation, income distribution, decision-making power, geoeconomics, information flows, safety risks, human well-being, and transition dynamics. Key research outputs include working papers on explosive growth from automating AI research, public finance in the age of AI, scenarios for the transition to AGI, and economic growth under transformative AI. Korinek has been widely recognized for this work, including being named to TIME's 2025 TIME100 AI list of the most influential people in artificial intelligence, selected for Vox's Future Perfect 50 list, appointed to the Anthropic Economic Advisory Council, and selected as one of a handful of experts to deliver a report to G7 nations on AI's economic effects. He holds affiliations as a Visiting Fellow at the Brookings Institution, Research Associate at the NBER, and Research Fellow at the CEPR. EconTAI has collaborated with the International Monetary Fund on a workshop examining global economic and financial implications of AI, and with the Windfall Trust on scenario planning exercises.
Theory of Change
Updated 05/18/26EconTAI operates on the premise that transformative AI could reshape the economy more dramatically and swiftly than any previous innovation in human history, but our understanding of AI's economic implications is lagging far behind the pace of technological development. By producing rigorous economic research on how transformative AI will affect growth, labor markets, inequality, market concentration, information flows, and geopolitics, and by translating that research into accessible policy analysis, EconTAI aims to equip policymakers, institutions, and society with the economic insights needed to redesign labor laws, tax systems, social insurance programs, antitrust regulations, and macroeconomic policies. The initiative also addresses AI safety risks directly as one of its nine Grand Challenges, recognizing that even low-probability catastrophic outcomes justify large investments in alignment research. By building the field of economics of transformative AI and training the next generation of researchers, EconTAI seeks to ensure that the transition to transformative AI leads to shared prosperity rather than exacerbating inequality or concentrating power.
Grants Received
Updated 05/18/26Projects– no linked projects
Updated 05/18/26Discussion
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