Anton Korinek

About

Anton Korinek is a Professor in the Department of Economics and Darden School of Business at the University of Virginia. He is the Faculty Director of the Economics of Transformative AI (EconTAI) Initiative, a Nonresident Senior Fellow at the Brookings and Peterson Institute, and a Research Associate at the NBER and CEPR. His research focuses on the economics of AI, macroeconomics, and finance.

Research topics

• Computer Science
• Computer Security
• Macroeconomics
• Monetary economics
• Economics
• Microeconomics
• Econometrics
• Business

Selected publications

• Frontier AI Regulation: Managing Emerging Risks to Public Safety

  arXiv (Cornell University) · 2023-07-06 · 72 citations

  preprintOpen access

  Advanced AI models hold the promise of tremendous benefits for humanity, but society needs to proactively manage the accompanying risks. In this paper, we focus on what we term "frontier AI" models: highly capable foundation models that could possess dangerous capabilities sufficient to pose severe risks to public safety. Frontier AI models pose a distinct regulatory challenge: dangerous capabilities can arise unexpectedly; it is difficult to robustly prevent a deployed model from being misused;…

  PublisherOA PDFDOI

• Scenarios for the Transition to AGI

  National Bureau of Economic Research · 2024-03-01 · 32 citations

  reportOpen access1st authorCorresponding

  We analyze how output and wages behave under different scenarios for technological progress that may culminate in Artificial General Intelligence (AGI), defined as the ability of AI systems to perform all tasks that humans can perform.We assume that human work can be decomposed into atomistic tasks that differ in their complexity.Advances in technology make ever more complex tasks amenable to automation.The effects on wages depend on a race between automation and capital accumulation.If automati…

  PublisherDOI

• Intelligent financial system: How AI is transforming finance

  Journal of Financial Stability · 2025-10-29 · 16 citations

  article
  PublisherDOI

• Concentrating intelligence: scaling and market structure in artificial intelligence

  Economic Policy · 2024-11-19 · 16 citations

  article1st authorCorresponding

  Abstract This paper examines the evolving structure and competition dynamics of the rapidly growing market for AI foundation models, with a special focus on large language models. We describe the technological characteristics that shape the AI industry and have given rise to fierce competition among the leading players. The paper analyses the cost structure of foundation models, emphasizing the importance of key inputs such as computational resources, data and talent, and identifies significant…

  PublisherDOI

• AI's Economic Peril

  Journal of democracy · 2023-09-21 · 15 citations

  articleSenior author

  Abstract: As artificial-intelligence (AI) systems become more capable, their potential labor-market effects may aggravate inequality and by extension undermine democratic governance. Moreover, the interrelationship between democracy and inequality may trigger a feedback loop, whereby increases in inequality undermine democracy, which in turn lead to policies that further increase inequality, giving rise to multiplier effects. In the short term, policies to mitigate AI-induced inequality include…

  PublisherDOI

Frequent coauthors

• Olivier Jeanne

  Peterson Institute for International Economics

  31 shared

• Mathias Drehmann

  Bank for International Settlements

  27 shared

• Mikael Juselius

  Bank of Finland

  27 shared

• Hamid Davoodi

  National Student Clearinghouse Research Center

  25 shared

• Daniel Garcia-Macia

  Dartmouth Hospital

  25 shared

• Shafik Hebous

  25 shared

• Mauricio Soto

  University of Virginia

  25 shared

• Nate Vernon

  University of Virginia

  25 shared

Education

• PhD, Economics

  Columbia University

  2007

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