Attention (And Money) Is All You Need: Why Universities Are Struggling to Keep AI Talent

Ufuk Akcigit (), Craig A. Chikis (), Emin Dinlersoz () and Nathan Goldschlag ()
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Ufuk Akcigit: University of Chicago
Craig A. Chikis: University of Chicago
Emin Dinlersoz: U.S. Census Bureau
Nathan Goldschlag: Economic Innovation Group

No 2026-37, Working Papers from Becker Friedman Institute for Research In Economics

Abstract: We construct a novel dataset linking academic publication records to U.S. Census employer–employee data to track 42,000 AI researchers over two decades. We document systematic changes in the allocation of AI talent. Industry increasingly attracts younger and foreign-born researchers, while gender representation improves more in academia. The top 1% of publishing industry scientists now earn $1.5 million more annually than comparable academics, a fivefold increase since 2001. Rising wage premia coincide with greater sorting into large incumbent firms. Researchers who move to industry publish less but patent more, consistent with a shift from open science toward proprietary innovation.

Keywords: Artificial Intelligence; Open Science; Innovation; Research and Development (search for similar items in EconPapers)
JEL-codes: I23 J45 L33 O31 (search for similar items in EconPapers)
Pages: 39 pages
Date: 2026
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