经济日报:发挥“人工智能+制造”乘数效应
Xin Lang Cai Jing·2026-01-02 00:56

Core Insights - The national industrial and information technology work conference has outlined ten key tasks for 2026, emphasizing the promotion of "Artificial Intelligence + Manufacturing" initiatives to cultivate key industry intelligent entities and native intelligent enterprises [1] - The integration of "Artificial Intelligence +" is highlighted as a primary focus in the recent central economic work conference, aiming to leverage China's manufacturing scale and AI technology to create a strong momentum for building a manufacturing and network power [1] Group 1: AI and Manufacturing Integration - "Artificial Intelligence + Manufacturing" is set to become a demonstration scenario for deep integration of technological and industrial innovation, enhancing R&D, production, and service processes within the manufacturing sector [2] - The manufacturing industry provides diverse application scenarios that challenge AI to innovate in areas such as industrial reliability and scene adaptability, creating a synergistic effect between technological innovation and industrial upgrading [2] Group 2: Unique Advantages of China - China possesses a complete industrial foundation and a comprehensive AI industry system, allowing for natural synergy between industrial and AI technologies, facilitating upgrades and applications [2] - The vast market with 41 industrial categories offers numerous landing scenarios for AI technology, accelerating its iteration and maturity [2] - Strong policy support and infrastructure development are clearing obstacles for the integrated development of AI and manufacturing [2] Group 3: Challenges and Transformation - The application of AI in manufacturing is often superficial, with many companies treating it as a tool rather than integrating it into their core processes, leading to missed opportunities for innovation [3] - To realize the multiplier effect of "Artificial Intelligence + Manufacturing," companies must shift from merely applying technology to innovating production models and processes, breaking down data silos and fostering collaborative ecosystems [3] - This deep integration is crucial for transitioning from a manufacturing power to a manufacturing stronghold, embedding AI deeply into China's manufacturing landscape to pave the way for a smarter, more flexible, and sustainable future [3]