Core Insights - Shanghai is promoting the large-scale development of "AI + manufacturing" during the 14th Five-Year Plan period, aiming to leverage the combined advantages of AI and manufacturing to accelerate application in key industries and support the creation of model enterprises [1][2] Group 1: AI + Manufacturing Initiatives - Shanghai has launched the "AI + manufacturing" model enterprise cultivation project, selecting 10 model enterprises from various sectors including nuclear power, shipbuilding, automotive, steel, aerospace, semiconductors, and biomedicine [2][3] - These enterprises have identified 50 specific scenarios where AI technology can be applied, targeting pain points in the digital transformation of manufacturing [2][3] Group 2: Digital Transformation and Supply Chain - The third batch of 21 "chain master" enterprises has been announced, which are expected to drive digital transformation across the supply chain [3][4] - Since 2022, Shanghai has cultivated 42 "chain master" enterprises, linking over 360,000 companies and empowering more than 7,000 core enterprises, resulting in a 20% reduction in operational costs and a 10% decrease in energy consumption [3][4] Group 3: AI Application in Manufacturing - Specific AI application scenarios include intelligent generation of 3D to 2D drawings, AI-assisted CAD modeling, intelligent scheduling of precision grinding lines, and smart visual inspection of aerospace components [3][4] - The establishment of a national AI application pilot base aims to tackle common challenges in high-end equipment industries, promoting technological breakthroughs and product innovation [4][5] Group 4: Support for SMEs - The Shanghai Unicom Industrial Intelligent Computing Cloud Service Platform addresses challenges faced by small and medium-sized enterprises (SMEs) such as high computing costs and a shortage of AI talent [5][6] - This platform provides integrated AI application support, including computing power, data models, and development tools, to help SMEs reduce initial and operational costs [5][6] Group 5: Industry Perspectives on AI Integration - Experts emphasize the importance of AI in enhancing design accuracy, optimizing production processes, and improving operational efficiency in response to new energy system demands [6][7] - The integration of AI with industrial internet technologies is seen as a way to automate and smarten production processes, thereby improving efficiency and product quality [6][7]
培育活跃生态 上海推动“AI+制造”规模化发展
Zhong Guo Zheng Quan Bao·2026-01-15 20:48