产教融合是连接知识生产与产业实践的关键机制，其模式变迁受技术范式演化的深刻影响。人工智能作为一种通用目的技术，正从底层逻辑上重塑产教融合的运行方式。本文在梳理产教融合传统模式的基础上，分析人工智能对其耦合结构、运行机制与演化路径的重构作用，提出基于“知识—组织—价值”三重维度的模式重构框架，并探讨新型产教融合模式的理论特征与实现条件。研究认为，人工智能驱动下的产教融合将从线性协作走向生态共生，从制度耦合走向算法协同，从资源交换走向智能涌现。

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.