Group 1 - The core viewpoint of the article is the formal release of the "Opinions on Deepening the Implementation of 'Artificial Intelligence+' Action" by the State Council, marking the first time "smart economy" has been included in policy documents [1] - The action goals include achieving a comprehensive transition to a smart economy and society by 2035, providing strong support for the basic realization of socialist modernization [1][3] - By 2027, the integration of artificial intelligence with six key areas is expected to be widely and deeply realized, with the application penetration rate of new intelligent terminals and intelligent agents exceeding 70% [3] Group 2 - The "Artificial Intelligence+" initiative emphasizes the cultivation of new models and new business formats driven by artificial intelligence, encouraging companies to integrate AI into their strategic planning and business processes [3][4] - The initiative aims to enhance the role of artificial intelligence in public governance and improve the open cooperation system of AI [3] - The development of intelligent agriculture is highlighted, with a focus on smart agricultural machinery, drones, and robots to improve production capabilities [4][6] Group 3 - The "Artificial Intelligence+" initiative aims to expand new service consumption scenarios, fostering a richer and broader intelligent service industry [6] - It emphasizes the importance of intelligent consumption infrastructure and the development of smart products, including smart connected vehicles and smart home devices [6] - The initiative also focuses on enhancing the quality of life services, such as entertainment, e-commerce, and elder care, through intelligent applications [6][7] Group 4 - The initiative proposes the establishment of national artificial intelligence application pilot bases to facilitate the large-scale, standardized, and systematic development of AI applications [8] - These pilot bases will serve as platforms to gather industry resources, cultivate AI professionals, and promote application results [8] - The initiative also emphasizes the need for policy and regulatory support, including financial backing and risk management in the AI sector [8]

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].

人工智能将"+"到科学技术、产业发展、消费提质、民生福祉、治理能力、全球合作6大重点领 域。 8月26日，《关于深入实施"人工智能+"行动的意见》（以下简称《意见》）正式发布。《意 见》围绕前述六大重点领域，深入分析人工智能对各行业各领域范式变革影响，前瞻谋划"人 工智能+"工作着力点。其中，《意见》首次布局了智能原生新技术、新业态、新模式，也首次 提出第一、二、三产业全要素智能化转型发展路径。 同时， 《意见》提出了2027年、2030年、2035年三个阶段目标。到2027年，率先实现人工智 能与6大重点领域广泛深度融合，新一代智能终端、智能体等应用普及率超70%，智能经济核 心产业规模快速增长，人工智能在公共治理中的作用明显增强，人工智能开放合作体系不断完 善。到2030年，我国人工智能全面赋能高质量发展，新一代智能终端、智能体等应用普及率超 90%，智能经济成为我国经济发展的重要增长极，推动技术普惠和成果共享。到2035年，我国 全面步入智能经济和智能社会发展新阶段，为基本实现社会主义现代化提供有力支撑。 国家信息中心大数据发展部人工智能处处长刘枝对21世纪经济报道记者表示， 上述三个阶段 的目标立足实 ...

Core Viewpoint - The article emphasizes that 2024 is expected to be the year of AI application, while 2025 will mark the emergence of intelligent agents, transitioning AI from a reactive to a proactive service model. The Chinese government has issued a document outlining a roadmap for integrating AI into six key sectors by 2027, aiming for over 70% application penetration of new intelligent terminals and agents [1][3][7]. Summary by Sections Government Policy and Strategic Goals - The State Council's document outlines a three-phase approach for AI implementation, with a target of over 70% penetration of new intelligent terminals and agents by 2027, and over 90% by 2030. By 2035, China aims to fully transition into a smart economy and society [7][8]. - The document highlights the importance of creating an innovation-driven paradigm and enhancing self-reliance in technology to build a complete innovation ecosystem [7][8]. Key Action Areas - The six key areas for AI integration include: 1. **Scientific Technology**: Accelerating major scientific discoveries and enhancing collaboration between AI and fields like biotechnology and quantum technology [8]. 2. **Industrial Development**: Focusing on AI applications in industrial, agricultural, and service sectors to improve decision-making and production processes [8]. 3. **Consumer Quality Improvement**: Developing intelligent applications to enhance service quality across various sectors, including entertainment and healthcare [8]. 4. **Public Welfare**: Integrating AI into education and healthcare to improve service efficiency and quality [9]. 5. **Governance Capability**: Utilizing AI for better public service delivery and disaster management [9]. 6. **Global Cooperation**: Promoting international collaboration in AI development [9]. Industry Perspectives - Industry leaders, such as Zhou Hongyi from 360 Group, believe that the emergence of domestic large models has positioned China at the forefront of AI innovation, leading to a significant reduction in deployment costs and the onset of large-scale commercial applications [10]. - Yang Yuanqing from Lenovo emphasizes the shift towards human-machine collaboration, where AI serves as a foundational element for enterprise operations, transforming the relationship between humans and machines [11]. - The article also notes advancements in agricultural technology, with AI models aiding in crop breeding and the use of drones to enhance agricultural productivity [13][14]. Safety and Governance - The document stresses the importance of AI safety, mentioning the need for a multi-faceted governance framework to address emerging threats, such as "intelligent hackers" [15]. - Industry leaders advocate for a balanced approach that maximizes AI's potential while ensuring safety and reliability in its applications [15].

Q&A 国务院发布的《深入实施人工智能加行动的意见》在文件层级上处于什么位置， 其重要性如何？ 重磅解读《深入实施"人工智能+"行动的意 见》20250826 摘要 《人工智能加行动》战略文件是中国未来十年智能化变革的重要纲领， 旨在全面赋能各行业，提升国家整体竞争力，其重要性甚至超过第一层 级文件，反映了中国在全球 AI 竞争中的战略布局。 国际环境，特别是中美关系，对该文件的出台产生显著影响。美国 AI 行 动计划促使中国加快制定应对策略，通过强化自身在全球 AI 领域中的地 位来应对挑战。 人工智能技术的双向赋能是指 AI 技术赋能实体产业的同时，实体产业产 生的数据反过来提升 AI 模型性能，形成双向循环，这与单向赋能技术 （如 5G/6G）不同。 文件强调大模型发展不仅限于生成式模型，还包括非生成式的判别式模 型，后者在工业应用中更为重要，主要用于判别任务，无需生成新内容。 文件对企业或经济主体提出了根技术、大模型与生态建设，原始创新与 产业化发展，算力底座与电力布局，以及重点行业数据集与数据产业发 展等促进措施。 《深入实施人工智能加行动的意见》是由国务院发布的文件，属于第二层级。 尽管它没有达到 ...

Core Viewpoint - The article emphasizes the implementation of the "Artificial Intelligence +" initiative across six key areas to foster new productive forces and support China's modernization efforts, with specific goals set for 2027, 2030, and 2035 [1]. Group 1: Six Key Areas of "Artificial Intelligence +" - "Artificial Intelligence + Science and Technology": Accelerate scientific discovery processes and drive technological innovation [2]. - "Artificial Intelligence + Industry Development": Cultivate new models and business formats, promoting intelligent development across industrial and agricultural sectors [2]. - "Artificial Intelligence + Consumer Quality": Expand new service consumption scenarios and foster new product consumption formats, promoting intelligent terminal connectivity [2]. - "Artificial Intelligence + Welfare": Create intelligent work methods and more effective learning approaches to enhance quality of life [2]. - "Artificial Intelligence + Governance Capability": Establish a new paradigm of human-machine coexistence in social governance and create a multi-governance framework for safety [2]. - "Artificial Intelligence + Global Cooperation": Promote inclusive sharing of artificial intelligence and build a global governance system for AI [3]. Group 2: Fundamental Support Capabilities - Enhancing foundational model capabilities, innovating data supply, strengthening intelligent computing power coordination, and optimizing the application development environment are essential [4]. - Promoting a thriving open-source ecosystem, strengthening talent development, ensuring policy and regulatory support, and improving safety capabilities are also critical [4]. Group 3: Participation and Opportunities - The "Artificial Intelligence +" initiative allows for broad participation, with opportunities in ecosystems that seamlessly integrate business processes and quickly cultivate user habits to form network effects [5]. - The value of vertical data is significant, especially when high-quality user data continuously feeds back to improve model capabilities, creating a snowball effect [5]. - Talent development is crucial for the success of the initiative [6].

21世纪经济报道见习记者冉黎黎 北京报道 刘枝表示，深入实施"人工智能+"的六大行动是围绕着科学研究者、行业企业、消费者、人民群众、政 府部门、世界各国等不同参与主体来展开的，核心都是一个"新"字。从科学研究者的视角来看，利用人 工智能开拓新研究范式，加速成果发现。从行业企业的视角来看，利用人工智能培育新产业业态，转型 新发展模式，创造更多价值。从消费者的视角来看，利用人工智能拓展新消费场景，享受更优质的产品 和服务。从人民群众的视角来看，利用人工智能体验新工作方式、新学习方法、新生活状态，使其更好 地服务于人。从政府部门的视角来看，利用人工智能打开新治理格局，加速实现共建共治共享。从世界 各国的视角来看，利用人工智能开辟新合作空间，促进共同繁荣。 人工智能将"+"到科学技术、产业发展、消费提质、民生福祉、治理能力、全球合作6大重点领域。 8月26日，《关于深入实施"人工智能+"行动的意见》（以下简称《意见》）正式发布。《意见》围绕前 述六大重点领域，深入分析人工智能对各行业各领域范式变革影响，前瞻谋划"人工智能+"工作着力 点。其中，《意见》首次布局了智能原生新技术、新业态、新模式，也首次提出第一、二、三产 ...

Core Insights - 2024 is anticipated as the year of AI application implementation, with AI starting to integrate into daily life and smart devices, while 2025 is seen as the year of intelligent agents transitioning from "following commands" to "proactively serving" [1] - The State Council's document outlines a vision for AI integration across six key sectors by 2027, aiming for over 70% application penetration of new intelligent terminals and agents, with a goal of entering a new stage of intelligent economy and society by 2035 [4][5] AI Integration and Development - The State Council's opinion emphasizes the need for AI to cover various industries, including quantum technology, education, and healthcare, with a focus on six key action areas: scientific technology, industrial development, quality consumption, public welfare, governance capabilities, and global cooperation [4][5] - In scientific technology, the document calls for accelerating major scientific discoveries and enhancing collaboration between AI and fields like biomanufacturing and quantum technology [5] Industrial and Agricultural Applications - The integration of AI in industrial, agricultural, and service sectors is highlighted, with a focus on enhancing intelligent perception and decision-making capabilities in industrial systems and promoting AI-driven innovations in agriculture [5][9] - The document mentions the development of intelligent agricultural machinery and drones to address labor shortages and improve agricultural management [9] Consumer Experience Enhancement - The opinion outlines the development of intelligent applications aimed at improving quality of life in areas such as entertainment, e-commerce, and elder care, expanding into new service consumption scenarios [5][6] Government and Global Cooperation - AI's role in government services is emphasized, aiming for precise demand identification and proactive service planning, as well as enhancing public safety and environmental monitoring [6][10] - The document stresses the importance of global cooperation in AI development and governance [6] Industry Perspectives - Industry leaders, such as Zhou Hongyi from 360 Group, highlight the transition to a commercialized AI application era, with domestic models achieving international competitiveness [7] - Lenovo's chairman, Yang Yuanqing, notes the shift towards human-machine collaboration, transforming enterprise operations and emphasizing the need for a holistic approach to intelligent transformation [8] Agricultural Innovations - The launch of the Fengdeng breeding model represents a significant breakthrough in China's seed technology, with over 100 breeding units globally utilizing the model [9] - The integration of AI in meteorological forecasting demonstrates AI's potential in earth sciences and environmental monitoring [9] Safety and Governance - The document addresses the importance of AI safety, with specific measures to enhance security capabilities and establish a multi-faceted governance framework [10][11] - Industry leaders stress the need for responsible AI innovation that prioritizes human safety and ethical considerations [10][11]

Core Viewpoint - The article emphasizes the significance of the newly released document on "Artificial Intelligence+" and its potential impact on various industries, suggesting that it may be more important than the previous "Internet+" initiative. The author draws parallels between the two eras, highlighting the transformative power of AI in reshaping economic and social structures [2][40]. Summary by Sections Introduction to "Artificial Intelligence+" - The document titled "Opinions on Deepening the Implementation of 'Artificial Intelligence+' Action" has gained significant attention, indicating a new era in technology and industry [1][2]. Timeline and Phases of AI Implementation - The document outlines a clear timeline for AI integration: - By 2027, over 70% of new intelligent applications will be widely adopted, similar to the rapid adoption of mobile payments [3]. - By 2030, AI application rates will exceed 90%, establishing "intelligent economy" as a key growth driver for China's economic development [4]. - By 2035, society will fully transition into an intelligent economy and society, affecting all aspects of life, including law, ethics, and interpersonal relationships [5][6]. Comparison with "Internet+" - The core logic of "Internet+" was about "connection," facilitating interactions between people and services. In contrast, "Artificial Intelligence+" focuses on "empowerment," enhancing productivity and creativity through intelligent systems [10][12]. Examples of AI Empowerment - In manufacturing, AI can design and optimize products beyond human capabilities, leading to significant improvements in efficiency and quality [13][14]. - In agriculture, AI can autonomously manage resources and optimize crop yields, transforming traditional farming practices [15]. Key Directions for "Artificial Intelligence+" - The document identifies six key areas for AI application: 1. **Scientific Technology**: AI will enhance research efficiency and discovery processes [18][19]. 2. **Industrial Development**: AI will revolutionize drug discovery and material science, significantly reducing development time and costs [20][21]. 3. **Consumer Quality Improvement**: AI will create smarter, interconnected consumer experiences [24]. 4. **Public Welfare**: AI will enhance quality of life through improved industrial and agricultural practices [26][27]. 5. **Governance Capability**: AI will streamline urban management and enhance public services [28]. 6. **Global Cooperation**: AI development will involve international collaboration and the establishment of global standards [29]. Challenges and Opportunities - The rise of AI presents challenges, particularly job displacement in repetitive roles. However, it also creates opportunities for roles that require human creativity, empathy, and complex problem-solving [36][37]. Conclusion - The "Artificial Intelligence+" initiative marks the beginning of a new era, with the potential to transform industries and redefine human interaction with technology. Companies and individuals must adapt to leverage AI effectively [40][41].

Group 1 - The State Council has issued an opinion on the implementation of the "Artificial Intelligence +" initiative, focusing on six key actions: scientific technology, industrial development, quality improvement in consumption, welfare for the people, governance capabilities, and global cooperation [1][2] - By 2027, the goal is to achieve over 70% penetration of new generation intelligent terminals and intelligent agents, with significant growth in the core industries of the intelligent economy [2][3] - The concept of "intelligent economy" is introduced, which refers to an economic form driven by artificial intelligence technology and deeply integrated with various sectors, leading to new business models such as smart agriculture and intelligent manufacturing [3][4] Group 2 - The opinion emphasizes the cultivation of intelligent native new models and new business formats, promoting the development of intelligent native technologies, products, and service systems [3][4] - Intelligent native industries are highlighted as a key aspect of the intelligent economy, characterized by products and services created from inception with artificial intelligence at their core [4] - Companies like Guangzhou WeRide Technology and Beijing Zero One Wanwu Technology are mentioned as examples of firms leveraging AI for advancements in autonomous driving and enterprise-level applications [4][5] Group 3 - In the manufacturing sector, AI is expected to enhance the intelligent linkage of all elements in production management, while in the service sector, it will drive the scaling of services [5] - The application of AI in industrial machinery is transforming simple tools into autonomous robots capable of operating in complex environments [5] - In the biopharmaceutical sector, companies are utilizing AI to reduce development cycles and improve the stability of new reagents, showcasing the practical benefits of AI integration [5]