“人工智能+”行动施工图发布，推动产业全要素智能化发展

Core Viewpoint - The "Artificial Intelligence+" initiative aims to integrate AI into various sectors, enhancing economic growth and societal benefits through a structured approach and clear action plans [1][2][3]. Group 1: Development Goals - By 2027, the goal is to achieve over 70% penetration of new intelligent terminals and applications, with significant growth in the core AI industry and enhanced public governance through AI [3][4]. - By 2030, the aim is for over 90% penetration of intelligent applications, establishing AI as a key growth driver in the economy [4][16]. - By 2035, the vision is for China to fully enter a new stage of intelligent economy and society, supporting the realization of socialist modernization [4][16]. Group 2: Key Actions - The initiative outlines six major actions focusing on science and technology, industrial development, consumer enhancement, public welfare, governance capabilities, and global cooperation [1][5]. - Emphasis is placed on integrating AI into corporate strategies, organizational structures, and business processes, which could disrupt traditional industry rules and create new opportunities [7]. - The initiative includes eight foundational supports, addressing models, data, computing power, applications, open-source, talent, policies, and safety to build a robust AI infrastructure [5][6]. Group 3: Consumer and Industry Development - The "Artificial Intelligence+" initiative aims to enhance consumer experiences through intelligent applications in service sectors, promoting personalized services and innovative consumption models [6][8]. - In industrial development, the focus is on fostering new AI-driven business models, advancing smart manufacturing, and accelerating the digital transformation of agriculture [6][8]. - The initiative seeks to create a smart product ecosystem, integrating AI with emerging technologies like the metaverse and low-altitude flight [6][23]. Group 4: Governance and Global Cooperation - The initiative promotes a new model of social governance that integrates human and machine collaboration, enhancing urban management and extending AI applications to rural areas [27][28]. - It emphasizes the importance of global cooperation in AI governance, aiming to establish a shared framework for AI development and risk management [29][30].