China AI Policy: Interpretation of the State Council’s “Opinions on Deeply Implementing the ‘Artificial Intelligence Plus’ Action”
Published 1 September 2025
Sarah Xuan
On August 26, 2025, the State Council issued the Opinions on Deeply Implementing the “Artificial Intelligence Plus” Action (Guo Fa [2025] No.11). The document clearly proposes that through the “Artificial Intelligence Plus” action, efforts should be made to accelerate the deep integration of artificial intelligence with various fields of the economy and society, promote industrial upgrading, optimize social governance, and enhance public services, thereby forming a new pattern of an intelligent economy and an intelligent society. I. Main Content of the Opinions The Opinions follow the logical structure of “Overall Goals — Key Actions — Fundamental Safeguards,” presenting a panoramic blueprint for the development of artificial intelligence: 1. Overall Goals: The State Council proposes a phased development path: by 2027, achieve deep application of artificial intelligence in six key areas; by 2030, make the intelligent economy an important growth pole of China’s economic development; by 2035, comprehensively enter the stage of an intelligent society, providing support for basically realizing socialist modernization. 2. Key Actions (Six Directions): 1) Science and Technology: Promote artificial intelligence empowerment in basic scientific research, technological R&D, and studies in philosophy and social sciences, emphasizing both “from 0 to 1” original discoveries and “from 1 to N” industrial application.2) Industrial Development: Foster “AI-native” enterprises and business models, and advance the comprehensive intelligent transformation of industry, agriculture, and services.3) Consumption Upgrading: Build an “Internet of Everything Intelligent Connection” ecosystem of smart terminals, accelerate applications in smart homes, robots, and the Internet of Vehicles, and improve the quality of life services.4) People’s Livelihood and Well-being: Fully integrate artificial intelligence into employment, education, healthcare, culture, and other areas—emphasizing efficiency improvements while also paying attention to social equity and the improvement of people’s livelihoods.5) Governance Capability: Promote the intelligentization of government services, public safety, and ecological governance, achieving a new model of human–machine symbiosis in social governance.6) Global Cooperation: Explicitly propose that artificial intelligence should be regarded as an international public good, and actively participate in and promote global AI governance. 3. Fundamental Safeguards: The Opinions make systematic arrangements regarding model capabilities, data elements, computing power supply, open-source ecosystems, talent cultivation, laws and regulations, and security assurance—forming a complete support system from underlying technologies to application ecosystems. II. Interpretation of the OpinionsCompared with previous industrial policies, this round of Opinions highlights three key terms: compliance, safety, and sharing. 1. Data and Intellectual Property: The Opinions clearly state the need to optimize data property rights and copyright systems, and to promote the lawful opening of achievements from government-funded projects. This means enterprises must establish strict mechanisms for data ownership review and compliant utilization when using data for model training or commercialization, to avoid copyright disputes. 2. Models and Algorithms: The Opinions call for the establishment of a model capability evaluation system and strengthening the safety and controllability of model algorithms. For companies providing foundational or industry-specific large models, this implies that future products may need to undergo third-party evaluation and filing to ensure transparency and trustworthiness. 3. Industry Applications: Whether in industry, agriculture, healthcare, or education, the Opinions set goals for deep AI application. At the same time, since these scenarios often involve sensitive rights such as privacy, health, and education, enterprises must balance legality and social responsibility while offering solutions. 4. Open Source and International Cooperation: Support the building of AI open-source communities and promote global cooperation. This not only provides enterprises with opportunities to share resources and reduce R&D costs, but also requires greater effort in compliance with open-source agreements and cross-border regulations.Overall, the Opinions are not simply about promoting industrial expansion of artificial intelligence, but about advancing healthy and sustainable AI development under a framework of compliance, governance, and responsibility.
III. Opportunities and Impacts for Enterprises From the perspective of enterprises, the issuance of the Opinions represents both a development opportunity and a compliance challenge. 1. Technology and Data Companies: For large model firms and data service providers, the clear policy orientation indicates that market demand will grow rapidly. However, data ownership review, copyright compliance, and model security assessment will become “mandatory courses” for market entry. Companies that can establish compliance mechanisms early will gain trust and advantages in competition. 2. Financial and Legal Services: These industries rely heavily on information processing and decision support, making them key fields for AI implementation. Scenarios such as intelligent investment advisory, compliance risk control, contract review, and case retrieval are well-suited for large-scale AI adoption. Enterprises can leverage AI to improve efficiency and develop new models of intelligent financial and legal services. At the same time, regulatory bodies will pay close attention to financial security and legal responsibility: transparency of AI decisions, interpretability of risk control, and allocation of liability for errors all require legal and compliance mechanisms. 3. Manufacturing and Agricultural Enterprises: Industrial intelligence and agricultural digital-intelligence are particularly emphasized. For traditional manufacturing and agriculture, this is an important window for transformation and upgrading. Enterprises that adopt AI technologies to achieve intelligent production and management will be well-positioned to receive policy support and market opportunities. 4. Service and Consumer-Oriented Enterprises: The Opinions propose promoting consumer-end intelligent upgrading, especially in smart terminals, smart homes, healthcare, and education. This means that a large number of consumer-facing AI products and services will experience explosive growth. Companies can enter new markets through innovative products, but must also prioritize consumer rights protection and compliance. 5. Rising Legal and Compliance Demands: Almost all enterprises involving AI will face increasingly complete and strict legal regulations in the coming years. From data compliance to algorithm transparency, from product liability to intellectual property, compliance will become one of the core competitive advantages of enterprises. IV. Conclusion In summary, the Opinions on Deeply Implementing the “Artificial Intelligence Plus” Action provide a clear policy framework for the future development of artificial intelligence. They not only depict a grand vision for technology and industry, but also carefully consider compliance, safety, and social responsibility. For enterprises, the Opinions are full of opportunities while also raising higher requirements for compliance.