21社论丨以人工智能赋能制造业，促进经济高质量增长

Group 1 - The core viewpoint of the article emphasizes the acceleration of artificial intelligence (AI) integration into manufacturing, aiming for significant advancements in technology and industry scale by 2027, as outlined in the "Implementation Opinions" issued by multiple government departments [1] - The transition from "digital AI" to "physical AI" is highlighted, indicating a shift in public perception and application of AI from software to its integration in manufacturing processes [1][2] - The concept of "physical AI" is defined as intelligent systems that can understand and interact with the physical world, marking a new wave of AI that goes beyond mere information processing [2] Group 2 - The collaboration between hardware and software is projected to be a major trend in 2026, driven by the complex demands of manufacturing environments that require real-time, precise, and stable AI solutions [2] - AI is optimizing resource allocation across traditional industries, leading to cost reduction and efficiency improvements, while also giving rise to new business models, such as embodied intelligent robots in assembly lines [3] - The emphasis on the secure and reliable supply of core AI technologies is crucial for ensuring the resilience of industrial supply chains, especially in the context of a complex international environment [3]