Industry-academy integration is a key mechanism connecting knowledge production and industrial practice, and its model evolution is profoundly influenced by changes in technological paradigms. As a general purpose technology, artificial intelligence is reshaping the operational logic of industry-academy integration from the ground up. Based on an analysis of traditional integration models, this paper examines the reconstructive effects of artificial intelligence on their coupling structure, operational mechanisms, and evolutionary paths. It proposes a model reconstruction framework based on the three dimensions of “knowledge-organization-value” and discusses the theoretical characteristics and enabling conditions of the new integration model. The study suggests that industry academy integration driven by artificial intelligence will move from linear collaboration to ecological symbiosis, from institutional coupling to algorithmic coordination, and from resource exchange to intelligent emergence.