Abhishek Nagaraj
Associate Professor, Haas School of Business, UC Berkeley
Signed the letter · Academia · United States
Associate Professor in the Management of Organizations and Entrepreneurship and Innovation groups at the Haas School of Business, University of California, Berkeley. Director of the Data Innovation and AI Lab and a faculty research fellow at the National Bureau of Economic Research. PhD from the MIT Sloan School of Management. Author of research on data, digitization, and generative AI, including 'Digitization and the Market for Physical Works: Evidence from the Google Books Project' and 'Old Moats for New Models: Openness, Control, and Competition in Generative Artificial Intelligence'. Signed the wemustactnow.ai open letter.
AI-written Documented facts only, from the sources below.
17 works in the co-authorship map · 547 citations across them
Sources
- Abhishek Nagaraj — UC Berkeley Haas faculty profile
- About — Abhishek Nagaraj
- Digitization and the Market for Physical Works: Evidence from the Google Books Project
- Old Moats for New Models: Openness, Control, and Competition in Generative Artificial Intelligence
- “Signed the wemustactnow.ai open letter” — source
In the network
7 co-authors on the map · PageRank #77 of 400 · bridge #39 of 400 · 2 steps from Erik Brynjolfsson · cluster: Economics of prediction and innovation.
Measured on this map only, which grows out of the letter's signatories; what these numbers mean. See Abhishek Nagaraj on the map
Documented positions
Will AI actually boost productivity and growth? unknown
No documented evidence reviewed yet.
Will AI destroy more jobs than it creates? unknown
No documented evidence reviewed yet.
Will AI widen inequality? unknown
No documented evidence reviewed yet.
Should governments act on AI now? leans agree
His co-authored work on generative AI competition argues that tight control of complementary assets could concentrate the market and suggests policy interventions forcing shared access to those assets may help preserve competition; it does not address AI regulation broadly.
Evidence
How fast will the impact arrive? unknown
No documented evidence reviewed yet.
Selected work
- Digitization and the Market for Physical Works: Evidence from the Google Books Project
- Old Moats for New Models: Openness, Control, and Competition in Generative Artificial Intelligence
- Cloze Encounters: The Impact of Pirated Data Access on LLM Performance
- The Jagged Global Economy: Frontier AI Unevenly Exposes National Economies
In the research collection
Writes with
Imke Reimers (3), Mathijs de Vaan (2), Chiara Farronato (1), Joel Waldfogel (1), Joshua Gans (1), Rishi Bommasani (1), Scott Stern (1)
Co-authors on the map, by papers written together (7 of 7 shown).
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