Digital economy accelerates the intelligent transformation of regional industries. The design sector of Jiangxi’s digital industries has long been plagued by problems such as scattered knowledge, fragmented resources and inefficient collaboration. Taking the design knowledge system of Jiangxi’s digital industries as the research object, this paper constructs a technical framework of AI-enabled design knowledge graph, and implements the whole process including multimodal knowledge collection, ontology modeling, hybrid storage and dynamic update. The efficiency bottlenecks in semantic reasoning, industrial adaptation, knowledge updating and ecological collaboration are analyzed one by one. Systematic strategies are proposed, including graph neural network optimization, lightweight tool adaptation, knowledge security guarantee, incremental iteration mechanism and ecological collaboration. A path of intelligent organization and efficiency improvement of design knowledge suitable for Jiangxi’s regional characteristics is formed, which provides a feasible scheme for the intelligent upgrading of design in digital industries.