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When AI Becomes My Teammate: Unpacking How Employees Perceive and Collaborate With Gendered AI Teammates
Citation. Tu, Y., Li, J., Chen, J., Li, C.-J., & He, W. (2026). When AI becomes my teammate: Unpacking how employees perceive and collaborate with gendered AI teammates. Journal of Organizational Behavior, 47(8), 1313–1337. https://doi.org/10.1002/job.70038
Summary. This three-study research examines how employees compare AI teammates with human teammates and how gendered AI cues shape cooperation. Across vignette, interactive, and preregistered field-survey studies, participants generally saw AI teammates as more competent but less warm than humans, producing countervailing effects on cooperation.
Key claims
- Across the three studies, perceived AI competence increased employee cooperation, whereas perceived lower warmth reduced it.
- Female-like AI cues mitigated the perceived warmth deficit but also reduced the AI teammate’s perceived competence advantage relative to humans.
- Male-like AI cues amplified the perceived competence advantage but exacerbated the perceived warmth deficit, making gender attribution a mixed intervention for human–AI teamwork.
Evidence & limitations
- The article reports a vignette experiment (N = 163), a fictional interactive experiment (N = 465), and a preregistered field survey (N = 155); the evidence concerns perceptions and cooperation in these study contexts rather than realized performance in long-running workplace teams.
- This is a peer-reviewed Journal of Organizational Behavior article; the full-text Markdown acquisition preserved the abstract and references but did not expose the article’s full methods and results text, so this record limits its claims to the reported abstract and study descriptions.