Abstract: 【Purpose/significance】With the advancement of artificial intelligence (AI) technologies, the digital preservation of intan⁃ gible cultural heritage (ICH) is evolving from static storage toward intelligent expression and knowledge-oriented services. This study aims to explore the application pathways of AI in the construction and sharing mechanisms of intelligent ICH data resources【. Method/ process】The paper systematically reviews the conceptual scope and core characteristics of ICH intelligent data resources, analyzes AI-based multimodal data acquisition and processing workflows, and explores a data architecture framework oriented toward spatio⁃ temporal modeling and semantic organization【. Result/conclusion】This study proposes an intelligent management and dynamic main⁃ tenance mechanism for ICH data resources based on multi-stakeholder collaboration, and further constructs an AI-driven develop⁃ ment and sharing service model for the utilization of ICH intelligent data【. Innovation/limitation】Based on the living and evolving na⁃ ture of ICH, this paper puts forward a theoretical framework and practical approach for building intelligent data resources and sharing services driven by AI, offering new insights for the systematic advancement and intelligent transformation of ICH preservation. How⁃ ever, further research is needed to address limitations such as standard interoperability and cultural contextualization in AI applica⁃ tions.