Anton Korinek

David M. Rubenstein Fellow, The Brookings Institution

Professor, Department of Economics and Darden School of Business, University of Virginia

Economics of AI Lead, Centre for the Governance of AI

Research Associate, NBER and CEPR

Google Scholar

Email: anton [at] korinek [dot] com

Twitter: @akorinek


Anton is a David M. Rubenstein Fellow at the Brookings Institution, a Professor at the University of Virginia, Department of Economics and Darden School of Business as well as a Research Associate at the NBER, a Research Fellow at the CEPR and the Economics of AI Lead at the Centre for the Governance of AI. He received his PhD from Columbia University in 2007 after several years of work experience in the IT and financial sectors. He has also worked at Johns Hopkins and at the University of Maryland and has been a visiting scholar at Harvard University, the World Bank, the IMF, the BIS and numerous central banks.

His areas of expertise include macroeconomics, international finance, and inequality. His most recent research investigates the effects of progress in automation and artificial intelligence for macroeconomic dynamics and inequality. Korinek also focuses on capital controls and macroprudential regulation as policy instruments to reduce the risk of financial crises. He investigates the global spillover effects of such policy measures as well as their implications for income inequality. He has won several fellowships and awards for this work, including from the Institute for New Economic Thinking.

Latest News

Sep 2022 Organized Brookings/GovAI Conference on the Governance of Transformative AI

Apr 2022 Online Launch of the Oxford Handbook of AI Governance

Dec 2021 Launched Coursera Online Course on the Economics of AI

Sept 2021 Awarded David M. Rubenstein Fellowship by the Brookings Institution

June 2021 Promoted to Full Professor, University of Virginia

Sept 2020 Joined Steering Committee of Partnership on AI's Shared Prosperity Initiative

Mar 2020 Organized 2nd INET/IMF Conference on "Macroeconomics in the Age of AI"

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Latest Research

Preparing for the (Non-Existent?) Future of Work [PDF], with Megan Juelfs, forthcoming in the Oxford Handbook of AI Governance, Mar. 2022

If transformative AI makes human labor redundant, what are the economic and social implications, and how can we prepare for it?

AI and Shared Prosperity [Publication | WP], with Katya Klinova, Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (AIES ’21), pp. 645-651, July 2021

Develops a framework for AI developers to take into account the impact of their inventions on workers

Artificial Intelligence, Globalization, and Strategies for Economic Development [PDF], with Joseph Stiglitz, Jan. 2021

Labor-saving advances in AI may undo the gains from globalization and pose new challenges for economic development

Steering Technological Progress [PDF | Slides], with Joseph Stiglitz, Oct. 2020

Analyzes how to steer technological progress in directions that complement labor rather than displacing it - cited by The Economist's Free Exchange

Integrating Ethical Values and Economic Value to Steer Progress in Artificial Intelligence [Publication | WP], in Markus Dubber, Frank Pasquale and Sunit Das (eds.), Oxford Handbook of Ethics of Artificial Intelligence, Oxford University Press, July 2020

Complementing market incentives with ethical values is crucial to steer progress in AI in a direction that is beneficial for humanity at large

COVID-19 Infection Externalities: Trading Off Lives vs. Livelihoods? [WP | NBER | CEPR | Summary | VoxEU column], with Zach Bethune, Apr. 2020

Public health measures are essential to deal with COVID-19 because rational individuals internalize only $18k of the true $55k social cost of an infection

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