Colleges and universities are a core component of the national scientific and technological innovation system. Their intellectual property (IP) operation capabilities are directly related to the efficiency of transforming intellectual achievements into practical productive forces, and play a crucial role in promoting industrial upgrading and high-quality economic development. After years of practice, Chinese colleges and universities have explored and formed diverse IP operation models such as endogenous drive, external linkage, and professional trusteeship. Problems like “dormant”patent achievements and low transformation efficiency persist, making it difficult to adapt to the increasingly large scale of patents and complex market demands. Against this backdrop, this study will leverage the powerful data processing and intelligent analysis capabilities of artificial intelligence (AI) technology to break through the bottlenecks of traditional operation models , provide a reference path for building an efficient, precise, and intelligent new operational system.