Navigating Generative AI Disruptions: A Process Model of Occupational Resilience

Abstract

Generative Artificial Intelligence (GenAI) is transforming knowledge workers by introducing automation capabilities that challenge traditional notions of expertise, creativity, and problem-solving. While GenAI offers new opportunities for productivity and innovation, it also disrupts professional identities, raising concerns about job displacement, occupational shifts, and ethical dilemmas. This study examines how knowledge workers (KWers) develop occupational resilience when faced with GenAI transformations. Building on prior literature on resilience, we propose that occupational resilience is critical for sustaining professional relevance and well-being in the GenAI era. Using a grounded theory approach, we present early qualitative insights from thirteen interviews to propose a process model of GenAI occupational resilience. By addressing these challenges, this study contributes to a deeper understanding of GenAI’s impact on KWers and offers insights for developing adaptation strategies.