Yujian Cui, Hong Liu

Yujian Cui, Hong Liu

Oct. 30, 2026

AI-based teaching, Enterprise capability upgrading, Intelligent learning, Digital transformation guide to the industry–education integration.

The rapid development of artificial intelligence technologies and the digital economy has made enterprise digital transformation an important way to improve organizational competitiveness and achieve sustainable development. But many enterprises still wrestle with gaps in digital skills, insufficient innovation capabilities and a mismatch between workforce skill sets and technology demands. With the intelligence analysis of data, in a computer science-based paradigm that supports personalized teaching strategy. This study aims to analyze how AI teaching fosters digital transformation in enterprises through which mechanisms and implementation paths. The paper integrates the theories of intelligent education, organizational capacity upgrading and digital transformation to examine the coupling relationship between AI-enabled learning systems and enterprise capacity reconstruction. Main suggestions for the transformation are a talent capability reconstruction, integration of industry and education, intelligent learning ecosystems therein as main drivers. The results imply that AI teaching skills can improve employees’ digital literacy, simplify the structure of organizational learning and support data-based decision-making system to accelerate the digital transformation process of enterprises. The research offers theoretical and practical guidance for enterprises, educational institutions, and policymakers in establishing collaborative innovation models within the AI-driven education landscape.

© 2026, the Authors. Published by ISCCAC

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