Calluso, Cinzia, Iacopino, Valentina and Piazza, Anna ORCID: https://orcid.org/0000-0002-5785-6948 (2026) Competence at a cost? Gendered trade-offs in the use of Generative AI in academia. In: WOA 2026: "From Doing Resilience to Being Resilient: Organizing Beyond Recovery and Toward Renewal", 28th - 29th May, 2026, Faculty of Economics, University of Rome "Tor Vergata.

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Abstract

The rapid diffusion of Generative Artificial Intelligence (GenAI) is transforming contemporary work practices, yet its gendered social consequences remain insufficiently understood. Building on the Stereotype Content Model, gender role theory, and insights from techno-feminist scholarship, this study investigates how women’s adoption of GenAI in academic contexts shapes perceptions of competence and warmth. We report evidence from a 2×2×2 between-subjects experiment (gender × GenAI adoption × task type: teaching vs. research) conducted with 651 participants. Results show that GenAI use is generally associated with higher perceived competence. Notably, women benefit most from GenAI adoption in research tasks, where technical proficiency directly challenges prevailing gender stereotypes. At the same time, GenAI use is linked to lower perceived warmth, with women facing stronger relational penalties—particularly in agentic, research-oriented activities. Together, these findings point to a persistent double bind, whereby women’s competence gains through GenAI come at the cost of warmth, underscoring the need for organizational interventions that address the gendered tradeoffs embedded in technological adoption.

Item Type:	Conference or Conference Paper (Paper)
Uncontrolled Keywords:	Generative AI, gender bias, stereotypes, experimental design, academia
Subjects:	H Social Sciences > H Social Sciences (General)
Faculty / School / Research Centre / Research Group:	Greenwich Business School Greenwich Business School > Networks and Urban Systems Centre (NUSC) Greenwich Business School > School of Business, Operations and Strategy
Related URLs:	Organisation
Last Modified:	28 Sep 2026 10:23
URI:	https://gala.gre.ac.uk/id/eprint/54511

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