ABSTRACT This article focuses on knowledge innovation and its contemporary reshaping, with particular attention to the growing role of AI in this process. This article first examines the general structure and phases of knowledge innovation cycles, aiming to identify AI's role within them. The discussion then focuses on the first phase, innovativeness, as the phase in innovation cycles that may still require human action, even when other phases of knowledge innovation cycles turn fully digital. This article then elaborates on AI's deepening engagement in innovation cycles, notably in the first phase of the innovation generation cycle. Finally, two implications of AI‐based transitions are addressed: The potential damage to human innovation processes within organizations and the need for broader changes in the academic teaching of cross‐disciplinary tools for knowledge management.
Aharon Kellerman (2026) studied this question.