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中央重磅部署“人工智能+” 推动一二三产业向智能化跃迁
2 1 Shi Ji Jing Ji Bao Dao·2025-08-26 16:17

Core Viewpoint - The document outlines the "Artificial Intelligence +" initiative, emphasizing its integration into six key areas: scientific technology, industrial development, consumption enhancement, public welfare, governance capabilities, and global cooperation, with specific goals set for 2027, 2030, and 2035 [1][10]. Group 1: Key Areas of Focus - The initiative aims to achieve widespread integration of AI in six areas, including scientific technology, industrial development, consumption enhancement, public welfare, governance capabilities, and global cooperation [3][4]. - The document highlights the importance of AI in accelerating scientific discovery and creating new job opportunities while enhancing traditional roles [3][4]. - The initiative emphasizes the need for intelligent transformation across all sectors, including agriculture, industry, and services, to foster new business models and enhance productivity [7][8]. Group 2: Goals and Phases - By 2027, the goal is to achieve over 70% penetration of new intelligent terminals and applications, with significant growth in the core industries of the intelligent economy [10][12]. - By 2030, the aim is for AI to fully empower high-quality development, with over 90% penetration of intelligent applications, establishing AI as a crucial growth driver for the economy [10][12]. - By 2035, the vision is for China to enter a new stage of intelligent economy and society, providing strong support for the realization of socialist modernization [10][12]. Group 3: Implementation Strategy - The document outlines a systematic approach to implementing AI across various sectors, focusing on creating a collaborative ecosystem that includes researchers, businesses, consumers, and government entities [4][6]. - It emphasizes the need for a robust foundational support system, including advancements in models, data supply, computing power, and regulatory frameworks [9][12]. - The initiative aims to break down data silos and lower barriers for small and medium enterprises to adopt AI technologies, fostering a positive cycle of innovation and application [6][12].