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 Insights - A new round of growth stabilization plans for ten key industries has been launched after two years, focusing on structural optimization and long-term high-quality development [1][3] - The plans emphasize both supply and demand sides while enhancing industry governance to regulate competition [1][3] - The integration of new technologies, particularly artificial intelligence, is highlighted as a key driver for various industries [1][6] Industry Growth Targets - The ten key industries targeted in the new growth stabilization plan account for approximately 70% of the value added in large-scale industrial sectors [3] - Specific growth targets include an average increase of about 7% in the value added of the computer, communication, and other electronic equipment manufacturing industries from 2025 to 2026, and a 5% annual growth for the petrochemical and non-ferrous metal industries [3] - The automotive industry aims for annual sales of around 32.3 million vehicles in 2025, with a target of approximately 20% growth in new energy vehicle sales [3] Industry Governance and Competition - The new plans include measures to address irrational "involution" competition and to standardize industry competition order [5] - Different industries have tailored governance approaches; for example, the automotive sector focuses on cost investigations and price monitoring, while the electronic information sector emphasizes capacity governance [5] - Overall, the plans stress the importance of industry self-discipline and creating a favorable business environment to promote orderly development [5] Role of Artificial Intelligence - Artificial intelligence is positioned prominently in the new plans, with initiatives to promote its integration across all stages of industrial processes [6] - The automotive industry will leverage AI in research, design, production, and operations, while the light industry will focus on generative AI for product design and manufacturing [6] - The deep integration of AI into these key industries is expected to drive digitalization, networking, and intelligent transformation, enhancing efficiency and reducing costs [6]