In the context of educational digitalization and the development of new-quality productive forces, the cultivation of innovative and internationally oriented talents has become an important task of Sino-foreign cooperative education. However, traditional talent cultivation models still face problems such as insufficient curriculum integration, lack of personalized training, limited cross-cultural cultivation, and rigid teaching models. Artificial intelligence (AI) provides new opportunities for reforming talent cultivation models. This study analyzes the logic of AI empowering talent cultivation in Sino-foreign cooperative education and proposes a mechanism framework including intelligent resource integration, precise teaching adaptation, cross-cultural cultivation, innovation empowerment, and quality closed-loop evaluation. Based on the analysis of existing dilemmas such as insufficient technology integration, teachers’ digital literacy, and data security risks, this study further proposes implementation paths including intelligent curriculum systems, blended teaching models, digital teaching staff development, and governance mechanisms. This study provides a theoretical framework and practical path for promoting the intelligent transformation of Sino-foreign cooperative education and improving the quality of international talent cultivation.