专访信通院政经所副所长孙克：“人工智能+”将拓展人类认知边界

Core Viewpoint - The recently released "Opinions on Deepening the Implementation of 'Artificial Intelligence+' Action" outlines a strategic framework for integrating artificial intelligence across six key areas, aiming for significant advancements by 2027, 2030, and 2035 [1][2]. Group 1: Three-Stage Goals - By 2027, the goal is to achieve widespread integration of AI in six key areas, with over 70% application penetration of new intelligent terminals and systems, and a noticeable enhancement in AI's role in public governance [1][2]. - By 2030, AI is expected to fully empower high-quality development, with over 90% application penetration and the emergence of AI as a crucial growth driver in the economy [1][2]. - By 2035, the aim is to transition into a new stage of intelligent economy and society, providing robust support for the realization of socialist modernization [1][2]. Group 2: Comparison with "Internet+" - "Artificial Intelligence+" and "Internet+" share core principles, focusing on technological empowerment to drive productivity and optimize industry structures, but AI's impact is deeper and more transformative [2][6]. - The essence of "Internet+" is connectivity and collaboration, while "Artificial Intelligence+" emphasizes emergence and symbiosis, expanding human cognitive boundaries [6][15]. - "Artificial Intelligence+" does not replace "Internet+" but builds upon it, enhancing the digital economy with intelligent capabilities [6][15]. Group 3: Six Major Actions - The six major actions proposed in the "Opinions" aim to facilitate the deep integration of AI across various sectors, enhancing innovation, industry strength, consumption, public welfare, risk prevention, and global cooperation [7][8][9][10][11][12][13]. - In the scientific and technological domain, AI will accelerate discovery processes and innovate research methodologies [8]. - In industry development, the focus will be on the intelligent transformation of all production factors, expediting the conversion of AI into productive forces [9]. Group 4: Intelligent Economy Concept - The concept of "intelligent economy" signifies a new economic paradigm driven by AI technology, marking a transition from information and digital economies to intelligent economies [14]. - AI's integration with the real economy is expected to reshape economic structures, enhancing productivity and fostering a positive cycle of innovation and growth [14][16]. Group 5: Full Factor Intelligent Transformation - The "full factor intelligent transformation" proposed in the "Opinions" aims to optimize production processes and organizational structures through intelligent scheduling of production factors [17]. - This transformation will focus on key production elements and promote industrial intelligence, enhancing collaboration among various production factors [17]. Group 6: AI in Consumption - The integration of "Artificial Intelligence+" in consumption aims to enhance economic growth by unlocking diverse consumer potential and improving high-quality consumption supply [18]. - AI will facilitate the transition from product-centric to service-centric consumption, addressing the gap in quality service supply [18]. Group 7: AI in Public Welfare - The "Artificial Intelligence+" initiative in public welfare aims to create new job opportunities and enhance traditional roles, with a focus on intelligent educational models and applications in daily life [19]. - By 2030, AI applications in work, study, and life are expected to become commonplace, contributing to a more intelligent society by 2035 [19]. Group 8: AI in Governance - The governance capability enhancement through "Artificial Intelligence+" focuses on modernizing governance models across social, security, and ecological domains [20]. - AI technologies are expected to play a significant role in urban management and public services, facilitating real-time monitoring and efficient updates [20].