Afiouni, RaniaPinsonneault, Alain2021-12-242021-12-242022-01-04978-0-9981331-5-7http://hdl.handle.net/10125/79969Introducing a new Artificial Intelligence (AI) system disrupts workers’ sense of control. To restore it, individual workers are likely to engage in self-initiated changes to their jobs. We build on job crafting theory and extend it to propose a theoretical model explaining the ripple effect of changes from tasks to skills, relationships, and finally job cognition. We introduce the concept of human-in-control (one’s perception of their ability to deliver desired work outcomes in a work context involving AI) as the goal of the job crafting process. Our work provides a novel and important perspective on job transformation with AI. As such, it opens numerous avenues for research in this nascent stream.10 pagesengAttribution-NonCommercial-NoDerivatives 4.0 InternationalDesign and Appropriation of Knowledge and AI Systemsadaptationartificial intelligencefuture of workjob craftingripple effectRipples of Change – An AI Job Crafting Model for Human-in-Controltext10.24251/HICSS.2022.631