Papers

3

Total Citations

488

H-Index

3

About

Jason Furman is a prominent economist whose research has made significant contributions to understanding the intersection of artificial intelligence and economic policy. Best known for his influential work on AI's macroeconomic implications, Furman has been at the forefront of analyzing how emerging technologies are reshaping labor markets, productivity, and innovation ecosystems. His widely-cited paper "AI and the Economy" (2018), which has accumulated nearly 500 citations across its versions, provides a comprehensive empirical examination of AI's growing economic footprint, drawing on diverse indicators such as robotics shipments, AI startup activity, and patent data to document the technology's rapid ascent. Beyond his academic contributions, Furman served as Chairman of the Council of Economic Advisers under President Obama, bringing economic expertise directly to the highest levels of policymaking. This unique combination of rigorous scholarly research and real-world policy experience positions him as a bridge between academic economics and practical governance. His work continues to inform debates among economists, technologists, and policymakers grappling with how artificial intelligence will transform economies and what policy frameworks are needed to manage that transformation responsibly.

Research Focus

Key Achievements

3
H-Index
3
Papers
488
Total Citations
163
Avg Citations/Paper
🏆 Most Cited Paper
AI and the Economy
449 citations · 2018
📈 Most Prolific Year: 2018 (3 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Harvard University Press, Peterson Institute for International Economics

Top Papers

  1. 1
    AI and the Economy
    449 citations · 2018
  2. 2
    AI and the Economy
    32 citations · 2018
  3. 3
    AI and the Economy
    7 citations · 2018

Key Collaborators

Contact & Links

Available for collaboration
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