The private sector is hoarding AI researchers: what implications for science?

Abstract The migration of artificial intelligence (AI) researchers from academia to industry has recently sparked concerns about its implications for scientific progress. Can academia retain enough talent to shape AI advancements and counterbalance the growing influence of corporate AI labs? Analyzing OpenAlex data, we find a significant transition of premier talent to industry roles over the past decade, particularly to major tech firms. Young, highly cited scholars from leading institutions are the most likely to make this move. Following the transition, their research tends to show reduced novelty and impact. This industry-dominant shift in AI research highlights worries of an “AI brain drain”, the sidelining of exploratory science for commercial interests, and the potential misalignment with societal goals.

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Publication Details

Journal
AI & Society
Published
2025-02-01
DOI
https://doi.org/10.1007/s00146-024-02171-z
Citations
6
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
13.70

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article

The private sector is hoarding AI researchers: what implications for science?

Roman Jurowetzki, Kévin Wirtz, Stefano Bianchini, Daniel S. Hain
6 citations
AI & Society
Big Data and Business Intelligence
13.70
article

The private sector is hoarding AI researchers: what implications for science?

Roman Jurowetzki, Kévin Wirtz, Stefano Bianchini, Daniel S. Hain
article en
6 citations

Abstract

Abstract The migration of artificial intelligence (AI) researchers from academia to industry has recently sparked concerns about its implications for scientific progress. Can academia retain enough talent to shape AI advancements and counterbalance the growing influence of corporate AI labs? Analyzing OpenAlex data, we find a significant transition of premier talent to industry roles over the past decade, particularly to major tech firms. Young, highly cited scholars from leading institutions are the most likely to make this move. Following the transition, their research tends to show reduced novelty and impact. This industry-dominant shift in AI research highlights worries of an “AI brain drain”, the sidelining of exploratory science for commercial interests, and the potential misalignment with societal goals.

AI & SocietyVol. 40(5)
Université de Strasbourg (FR), Aalborg University (DK)
Agence Nationale de la Recherche, Aalborg Universitet
Openalex Percentile: Top 2%
Big Data and Business Intelligence
13.70
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