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.

More on this topic

BFI Working Paper·May 12, 2026

Data Centers and Local Economies in the Age of AI: A Shift–Share Approach

Fernando Alvarez, David Argente, Joyce Chow, and Diana Van Patten
Topics: Technology & Innovation
BFI Working Paper·May 5, 2026

Automation, Learning, and Career Dynamics

Hassan Afrouzi, Andres Blanco, Andrés Drenik, and Erik Hurst
Topics: Technology & Innovation
BFI Working Paper·May 5, 2026

Technology Adoption and Optimal Policy

Fernando Alvarez, Francisco J. Buera, and Nicholas Trachter
Topics: Technology & Innovation