Paper Number
ECIS2026-2427
Paper Type
CRP
Abstract
The growing integration of Artificial Intelligence (AI) into organizational settings raises important questions about how Human-AI Collaboration (HAIC) affects employees’ professional role identity (PRI). To shed light on these dynamics, we conducted a Systematic Literature Review (SLR) and synthesized findings of 61 studies across Information Systems (IS), Organizational Behaviour and Management. The findings yield five recurring identity outcome clusters in response to HAIC – threat, dis-identification, reinforcement, hybrid identities, and divergent outcomes – shaped by whether AI is perceived as complementary or as challenging professional expertise and autonomy. Beyond mapping these outcomes, we propose an integrative lens showing that HAIC reshapes PRI through technology-mediated identity work, which unfolds in three modes: protective, developmental, and integrative identity work. These modes capture how professionals defend, expand, or reconfigure their identity in response to AI autonomy and shifting Human-AI role boundaries. Our findings suggest that identity change in HAIC is an iterative and incremental process and point to the emergence of hybrid professional identities in AI-supported work.
Recommended Citation
Schmid, Saskia; Schieder, Christian; and Weeger, Andy, "Becoming Hybrid: Human-Ai Collaboration Reshaping Professional Role Identity – A Systematic Literature Review Using The Ado Framework" (2026). ECIS 2026 Proceedings. 16.
https://aisel.aisnet.org/ecis2026/litrev/litrev/16
Becoming Hybrid: Human-Ai Collaboration Reshaping Professional Role Identity – A Systematic Literature Review Using The Ado Framework
The growing integration of Artificial Intelligence (AI) into organizational settings raises important questions about how Human-AI Collaboration (HAIC) affects employees’ professional role identity (PRI). To shed light on these dynamics, we conducted a Systematic Literature Review (SLR) and synthesized findings of 61 studies across Information Systems (IS), Organizational Behaviour and Management. The findings yield five recurring identity outcome clusters in response to HAIC – threat, dis-identification, reinforcement, hybrid identities, and divergent outcomes – shaped by whether AI is perceived as complementary or as challenging professional expertise and autonomy. Beyond mapping these outcomes, we propose an integrative lens showing that HAIC reshapes PRI through technology-mediated identity work, which unfolds in three modes: protective, developmental, and integrative identity work. These modes capture how professionals defend, expand, or reconfigure their identity in response to AI autonomy and shifting Human-AI role boundaries. Our findings suggest that identity change in HAIC is an iterative and incremental process and point to the emergence of hybrid professional identities in AI-supported work.