推动AI与制造业双向赋能(锐财经)
Xin Lang Cai Jing·2026-01-09 22:52

Core Viewpoint - The integration of artificial intelligence (AI) with the manufacturing sector is accelerating, fundamentally transforming production models and economic structures, and is seen as a key driver for industrial upgrades [2]. Group 1: Policy Implementation - The Ministry of Industry and Information Technology, along with seven other departments, issued the "Implementation Opinions on the 'AI + Manufacturing' Special Action," aiming to promote the application of AI in manufacturing and enhance new productive forces [2]. - The document outlines 21 specific measures across seven key areas, including innovation, intelligence upgrades, product breakthroughs, and international cooperation, with clear targets set for 2027 [2][3]. - Goals include launching 1,000 high-level industrial intelligent systems, creating 100 high-quality data sets, and promoting 500 typical application scenarios [2]. Group 2: Industry Empowerment - The initiative encourages deep engagement with key manufacturing sectors such as raw materials, equipment manufacturing, and consumer goods through expert-led service teams [3]. - It aims to customize AI products and solutions based on the characteristics of different countries and regions, while also attracting foreign investment into the AI sector [3]. Group 3: Operational Guidelines - Accompanying the main policy document, two attachments were released: the "Guidelines for AI Empowerment in Key Manufacturing Industry Transformation" and the "AI Application Guide for Manufacturing Enterprises," providing detailed operational instructions [4]. - These documents offer tailored transformation paths for five major industries and address common challenges faced by enterprises in adopting AI technologies [4]. Group 4: Potential for Upgrading - AI is rapidly integrating with the real economy, showcasing significant potential for "intelligent upgrades," as evidenced by successful applications in quality inspection processes [5]. - The drive for digital transformation in industries like non-ferrous metals is leading to improved production efficiency and energy effectiveness, with a focus on creating a shared AI empowerment system across all sectors [5]. Group 5: Strategic Insights - Experts highlight that despite advancements in AI and other technologies, China still lags behind developed countries, necessitating stronger government guidance and increased market participation to enhance technological innovation [6]. - The comprehensive policy framework aims to facilitate the intelligent upgrade of the manufacturing sector, thereby fostering new productive forces [6].