推动“人工智能+”行动计划行稳致远

Core Viewpoint - The integration of artificial intelligence (AI) with the real economy is accelerating, driven by technological innovation and commercial application, forming a comprehensive AI technology industry system that includes foundational, framework, model, and application layers [1] Group 1: AI Development and Application - AI is transforming various sectors by enhancing efficiency and optimizing resource utilization, leading to breakthroughs in scientific discovery and production organization [2] - The transition from specialized AI to general AI is underway, with significant innovations in language models, multimodal models, and embodied intelligence [2] - AI applications are initially penetrating industries with higher digitalization levels, such as finance, healthcare, and transportation, demonstrating significant empowerment effects [3] Group 2: Policy and Strategic Goals - The State Council has issued guidelines to promote the "AI+" initiative, aiming for deep integration of AI across six key sectors by 2027, establishing smart economy as a growth driver by 2030, and transitioning to a smart economy and society by 2035 [3][4] - The guidelines emphasize a dual empowerment model where AI applications enhance productivity, which in turn fosters further AI innovation [4][6] Group 3: Implementation and Challenges - The focus is on transforming AI into real productivity, with a comprehensive approach that includes the development of new technologies, business models, and consumption patterns [5] - There is a need for coordination between technological innovation and environmental support, addressing challenges such as resource shortages and regulatory frameworks [8] - The alignment of product capabilities with actual market demands is crucial to avoid mismatches in supply and demand within the AI industry [9]