推动人工智能更好赋能高质量发展

Core Insights - Artificial intelligence (AI) is recognized as a strategic technology driving a new wave of technological revolution and industrial transformation, with the Chinese government emphasizing the integration of AI into various sectors to enhance economic and social development [1][2][3] Group 1: Advantages and Conditions for Promoting "AI+" - China possesses rich data resources, a complete industrial system, and a vast market, which are advantageous for the development of AI [2][3] - The total national data production is projected to reach 41.06 zettabytes (ZB) in 2024, reflecting a year-on-year growth of 25% [2] - The country has a comprehensive industrial system that supports the application and innovation of AI technologies across various sectors [2][3] Group 2: Key Areas and Main Tasks for "AI+" Implementation - The "AI+" action plan outlines development goals for 2027, 2030, and 2035, aiming for comprehensive AI empowerment of high-quality development by 2030 and a transition to an intelligent economy and society by 2035 [4] - The plan focuses on deep applications of AI in science and technology, industrial development, consumer quality enhancement, public welfare, and governance capabilities [4] Group 3: Specific Applications of "AI+" - In scientific research, AI is transforming traditional paradigms into data-driven approaches, significantly shortening research cycles and enhancing innovation [5] - AI is set to upgrade traditional industries, improve manufacturing quality and efficiency, and foster new industries and business models [6] - The consumer ecosystem will evolve with AI, enhancing service quality and creating new consumption scenarios [6][7] - AI will enhance public welfare by improving education, healthcare, and employment opportunities [7] - Governance capabilities will be strengthened through AI, promoting smart city initiatives and integrated public safety systems [7][8] Group 4: Support for Sustained "AI+" Implementation - Continuous implementation of "AI+" requires advancements in foundational research, key technologies, and infrastructure [9][10] - There is a need for innovation in data supply and computing infrastructure, with a focus on building a national integrated computing network [9] - Talent development and a robust policy framework are essential for fostering a conducive environment for AI growth [10]