Ajay Agrawal

Papers

2

Total Citations

380

H-Index

2

About

Ajay Agrawal is a leading economist whose research sits at the intersection of artificial intelligence, innovation, and entrepreneurship. He is best known for his foundational work on the economics of AI, particularly through his widely cited 2018 volume *The Economics of Artificial Intelligence* (378 citations), which set the agenda for understanding how AI affects productivity, growth, inequality, and employment. Agrawal’s research also explores the mobility of scientific inventions and the strategic implications for firms, examining market failures in knowledge transfer and the challenges of commercializing university research. As a professor at the University of Toronto’s Rotman School of Management and founder of the Creative Destruction Lab, he has shaped both academic discourse and real-world innovation policy. His work bridges economics and management, offering critical insights into how AI transforms markets and organizations. With a citation count reflecting his influence, Agrawal remains a pivotal voice in debates on technology, labor, and economic growth, making his research essential reading for students and scholars interested in the future of innovation.

Research Focus

Key Achievements

2
H-Index
2
Papers
380
Total Citations
190
Avg Citations/Paper
🏆 Most Cited Paper
The Economics of Artificial Intelligence
378 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 2

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago