Perceived Role Threat and Identity in AI-Augmented Roles
Keywords:
AI-augmented roles, identity threat, role reconfiguration, digital transformation, employee adaptationAbstract
This study aimed to explore how employees working in AI-augmented roles experience perceived role threat and reconfigure their professional identity in response to artificial intelligence integration. Using a qualitative phenomenological design, the study conducted semi-structured interviews with 29 participants from various industries in Tehran whose job roles had been altered through AI implementation. Participants were selected using purposive sampling, and interviews continued until theoretical saturation was achieved. Data were collected through in-depth interviews and analyzed thematically using NVivo software. The analysis focused on extracting recurring patterns related to identity, emotional response, and adaptation strategies in the face of AI-related role transformation. Three overarching themes emerged: identity reconfiguration, perceived threat to role stability, and coping and adaptation mechanisms. Participants reported identity disruption, erosion of traditional role authority, and ambiguity about future roles. A significant proportion expressed fear of job displacement and emotional strain, including anxiety and diminished professional pride. However, many also engaged in adaptive strategies such as skill development, psychological reframing, and strategic role framing to regain a sense of agency. Trust in organizational support, leadership framing of AI, and peer collaboration were found to influence the extent of perceived threat and identity renegotiation. The findings suggest that AI augmentation in the workplace not only alters operational dynamics but also challenges employees’ sense of professional identity and role security. While identity threats are prevalent, adaptive responses are possible when organizations provide transparent communication, structured reskilling opportunities, and psychological safety. Addressing the emotional and symbolic impact of AI on employees is critical for successful and sustainable digital transformation.
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