Core Viewpoint - The integration of artificial intelligence (AI) with the manufacturing sector is accelerating, fundamentally transforming production models and economic forms, and is identified as a key variable driving industrial upgrades [1] Group 1: Implementation Goals - By 2027, the initiative aims to launch 1,000 high-level industrial intelligent systems, create 100 high-quality datasets in the industrial sector, and promote 500 typical application scenarios [2] - The initiative outlines 21 specific tasks across seven key areas, including innovation foundation, intelligence upgrade, product breakthroughs, entity cultivation, ecosystem expansion, safety assurance, and international cooperation [2] Group 2: Technical and Application Support - The initiative emphasizes the need for enhanced AI computing power, promoting the development of intelligent chips and supporting breakthroughs in key technologies such as high-end training chips and AI servers [2] - It encourages enterprises to customize AI products and solutions based on the characteristics of different countries and regions, and to attract foreign investment in AI technology development and product manufacturing [2] Group 3: Policy Framework - The release of the initiative is accompanied by two detailed documents: the "Guidelines for AI Empowerment in Key Industries" and the "Application Guide for AI in Manufacturing Enterprises," providing comprehensive operational guidance [4] - This policy framework aims to create a systematic approach from macro strategy to micro enterprise level, ensuring clear paths and specific measures for advancing new industrialization and building a strong manufacturing and digital nation [4] Group 4: Practical Applications and Case Studies - AI is being applied in quality inspection processes, such as the "5G+AI pen inspection" application, which utilizes AI algorithms for real-time defect detection, significantly improving product quality [7] - The integration of digital technologies in the non-ferrous metal industry has led to substantial improvements in production efficiency and energy efficiency, showcasing the potential for replicable practices across industries [7] Group 5: Expert Insights - Experts highlight that despite advancements in AI and other fields, there remains a gap compared to developed countries, emphasizing the need for government guidance and increased market participation to enhance technological innovation [8] - The comprehensive policy framework is seen as a crucial step in promoting the intelligent upgrade of the manufacturing sector, facilitating the cultivation of new productive forces [8]
推动AI与制造业双向赋能 打造新质生产力
Zhong Guo Chan Ye Jing Ji Xin Xi Wang·2026-01-15 00:45