Field diffusion · Biology · Medicine · Economics
CESifo paper measures AlphaFold productivity gains and inequality among scientists
A difference-in-differences study of AlphaFold2 effects on structural biologists productivity, citations, journal placement, and inequality.
Summary
Yu studies AlphaFold2 as an AI shock to structural biologists using a difference-in-differences design against other life scientists. The paper reports citation and high-impact-journal gains without a rise in publication counts, alongside stronger benefits for already highly cited researchers and older leading authors in protein-structure papers.
AI role
AlphaFold2 is treated as a widely available AI prediction tool whose introduction changed exposure for structural biologists relative to other life scientists.
Narrative role
This adds researcher-level diffusion evidence that AI can improve measured output quality while also widening inequality in who benefits from the tool.
Caveat
The study is a working paper and uses bibliometric outcomes and exposure assumptions rather than randomized assignment or direct measurement of every scientist’s AI use.