新一轮十大行业稳增长方案启动实施：破局“内卷式”竞争 构建“智造+”新生态

Core Viewpoint - A new round of growth stabilization plans for ten key industries has been initiated, focusing on structural optimization and long-term high-quality development while addressing supply and demand dynamics [2][5]. Group 1: Industry Growth Plans - The Ministry of Industry and Information Technology (MIIT) has released growth stabilization plans for steel, non-ferrous metals, petrochemicals, chemicals, building materials, machinery, automobiles, power equipment, light industry, and electronic information manufacturing [2][5]. - The new plans emphasize quantitative targets for each industry, aiming for a balanced focus on quality and efficiency [4][7]. - By 2025-2026, the average growth rate for the value added of the computer, communication, and other electronic equipment manufacturing industries is expected to reach around 7%, while the petrochemical and non-ferrous metal industries aim for an annual growth rate of 5% [6]. Group 2: Industry Governance - The new growth stabilization plans include clear directives for enhancing industry governance and standardizing competitive practices [9][10]. - Specific measures include addressing irrational "involution" competition in sectors like machinery, automobiles, and electronic information manufacturing, with a focus on cost investigation and price monitoring in the automotive sector [11]. - The plans encourage self-regulation within industries to promote high-quality development and create a favorable business environment [11]. Group 3: Role of Artificial Intelligence - Artificial intelligence (AI) is highlighted as a key component in the new plans, with an emphasis on its integration into various industrial processes [12][14]. - The automotive industry is set to leverage AI in research, design, production, and management, while light industry will focus on generative AI for product design and manufacturing [14][15]. - The deep integration of AI into these ten key industries is expected to facilitate the digital, networked, and intelligent transformation of traditional sectors, enhancing efficiency and reducing costs [15][16].