On August 18, the China Center for Information Industry Development (CCID) reported that the "Special Seminar on Technical Pathways for Advanced AI Computing Base Materials" took place on the afternoon of August 14 at the CCID Building in Beijing. The seminar was jointly organized by the Key Laboratory of AI Scenario Innovation and Intelligent Chip Evaluation under the Ministry of Industry and Information Technology, the CCID Research Institute, and the AI Industry Working Committee.

Experts at the seminar highlighted that the industrialization of new base materials is currently at a crucial juncture. However, they are confronted with several challenges, including inadequate coordination throughout the "materials-equipment-process-end product" supply chain, a lack of standardized guidelines, and the absence of pilot platforms. Critical sectors such as essential materials, specialized equipment, and advanced packaging technologies may encounter new obstacles due to supply-demand mismatches and overly concentrated supply chains. Furthermore, the absence of reliability data and unified testing standards has deterred material companies from investing and end-product manufacturers from adopting these innovative materials.

To address these issues, experts suggested enhancing capacity monitoring and early warning systems, fostering diversified supply chains and technological alternatives, establishing cross-sectoral collaborative mechanisms, and setting up pilot demonstration zones. These measures aim to promote localization through scenario-based applications, ultimately creating a closed-loop industry that spans from laboratory research to production lines and from raw materials to finished products.