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Generative AI

Research: The Hidden Penalty of Using AI at Work

byOguz A. Acar,Phyliss Jia Gai,Yanping Tu andJiayi Hou

August 1, 2025
Illustration by Sandra Navarro

Summary.   

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The VP of engineering at a leading technology company stared at the quarterly adoption metrics with growing frustration. Twelve months after rolling out a state-of-the-art AI coding assistant—a tool that promised to boost developer productivity significantly—only 41% of engineers had even tried it. More troubling still: Female engineers were adopting at just 31%, and engineers 40 and older were adopting at 39%. This finding emerged from ourresearchwith 28,698 software engineers at the company.

Oguz A. Acar is a Chair in Marketing at King’s Business School, King’s College London.
PG
Phyliss Jia Gai is an assistant professor of marketing at Guanghua School of Management, Peking University. Her current interests include technology, identity, and social media.
YT
Yanping Tu is an Associate Professor of Marketing at the Hong Kong Polytechnic University. She studies social influence, context effects, and decision bias.
JH
Jiayi Hou is a postdoctoral researcher at the Faculty of Business and Economics, University of Hong Kong. His research focuses on digital economy, organizational economics, and development economics.
Read more onGenerative AI or related topicsAI and machine learning,Algorithms,Analytics and data science,Data management andTechnology and analytics

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