{"id":5049,"date":"2025-08-22T02:53:00","date_gmt":"2025-08-22T02:53:00","guid":{"rendered":"https:\/\/zxhig.com\/?p=5049"},"modified":"2026-03-05T02:55:27","modified_gmt":"2026-03-05T02:55:27","slug":"opinions-of-the-state-council-on-deepening-the-implementation-of-the-artificial-intelligence-action-plan","status":"publish","type":"post","link":"https:\/\/www.zxhig.com\/en\/industry-policies\/5049\/","title":{"rendered":"Opinions of the State Council on Deepening the Implementation of the \u201cArtificial Intelligence+\u201d Initiative"},"content":{"rendered":"

Source: State Council<\/em><\/p>\n\n\n\n

Opinions of the State Council on Deepening the Implementation of the \u201cArtificial Intelligence+\u201d Initiative<\/strong><\/p>\n\n\n\n

State Council Document [2025] No. 11<\/p>\n\n\n\n

People\u2019s Governments of all provinces, autonomous regions, and municipalities directly under the Central Government; all ministries, commissions, and agencies directly under the State Council:<\/p>\n\n\n\n

To thoroughly implement the \u201cArtificial Intelligence+\u201d Initiative, promote the extensive and in-depth integration of artificial intelligence with all sectors and fields of the economy and society, reshape the paradigms of human production and daily life, foster a revolutionary leap in productivity and profound changes in production relations, and accelerate the formation of a new model of intelligent economy and intelligent society characterized by human-machine collaboration, cross-sectoral integration, and co-creation and sharing, the following recommendations are hereby put forward.<\/p>\n\n\n\n

I. General Requirements<\/strong><\/p>\n\n\n\n

Guided by Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era, we will fully, accurately, and comprehensively implement the New Development Philosophy, adhere to a people-centered approach to development, and fully leverage China\u2019s strengths\u2014including its abundant data resources, comprehensive industrial system, and broad range of application scenarios. We will strengthen forward-looking planning, systematic deployment, sector-specific policies, open sharing, and secure and controllable operations, With a focus on areas such as science and technology, industry, consumption, people\u2019s livelihoods, governance, and global cooperation, we will thoroughly implement the \u201cAI+\u201d initiative to foster the emergence of new infrastructure, new technological systems, new industrial ecosystems, and new job opportunities. We will accelerate the cultivation and development of new-quality productive forces, ensure that all people share in the fruits of AI development, and better serve the cause of building modernization with Chinese characteristics.<\/p>\n\n\n\n

By 2027, China will take the lead in achieving extensive and in-depth integration of artificial intelligence with six key sectors; the penetration rate of applications such as next-generation smart devices and intelligent entities will exceed 70%; the scale of core industries in the smart economy will grow rapidly; the role of artificial intelligence in public governance will be significantly enhanced; and the framework for open cooperation in artificial intelligence will be continuously improved. By 2030, China\u2019s artificial intelligence will comprehensively empower high-quality development; the penetration rate of applications such as next-generation smart terminals and intelligent entities will exceed 90%; and the intelligent economy will become a major growth engine for China\u2019s economic development, driving technological inclusivity and the sharing of achievements. By 2035, China will have fully entered a new stage of development in the intelligent economy and intelligent society, providing strong support for the basic realization of socialist modernization.<\/p>\n\n\n\n

II. Accelerate the Implementation of Key Initiatives<\/strong><\/p>\n\n\n\n

(1) \u201cArtificial Intelligence+\u201d Science and Technology<\/p>\n\n\n\n

1. Accelerate the process of scientific discovery. Expedite the exploration of new AI-driven research paradigms and accelerate the process of major \u201czero-to-one\u201d scientific discoveries. Speed up the development and application of large-scale scientific models, promote the intelligent upgrading of basic research platforms and major scientific and technological infrastructure, build high-quality, open, and shared scientific datasets, and enhance the processing capabilities for complex cross-modal scientific data. Strengthen the interdisciplinary driving force of artificial intelligence and promote the integrated development of multiple disciplines.<\/p>\n\n\n\n

2. Drive innovation in technology R&D models and enhance their effectiveness. Promote the integrated and coordinated development of AI-driven technology R&D, engineering implementation, and product deployment; accelerate the \u201cfrom 1 to N\u201d deployment of technologies and iterative breakthroughs; and facilitate the efficient commercialization of innovative achievements. Support the promotion and application of intelligent R&D tools and platforms; strengthen collaborative technological innovation between AI and fields such as biomanufacturing, quantum technology, and sixth-generation mobile communications (6G); use new scientific research achievements to support the implementation of real-world applications; and leverage new application needs to drive breakthroughs in scientific and technological innovation.<\/p>\n\n\n\n

3. Innovate research methods in the philosophy and social sciences. Promote the transition of research methods in the philosophy and social sciences toward a human-machine collaboration model; explore the establishment of new organizational forms for research in the philosophy and social sciences that are suited to the era of artificial intelligence; and broaden research horizons and perspectives. Conduct in-depth research into the profound impacts and underlying mechanisms of artificial intelligence on human cognitive judgment, ethical norms, and other areas; explore the development of a theoretical framework for \u201cAI for Good\u201d; and promote the use of artificial intelligence to better benefit humanity.<\/p>\n\n\n\n

(2) Development of the \u201cAI+\u201d Industry<\/p>\n\n\n\n

1. Foster new models and business formats native to intelligence. Encourage eligible enterprises to integrate artificial intelligence into their strategic planning, organizational structures, and business processes, promote the intelligent development of all industrial factors, support the transformation and upgrading of traditional industries, and open up new avenues for strategic emerging industries and future industries. Vigorously develop intelligent-native technologies, products, and service systems; accelerate the cultivation of a group of intelligent-native enterprises whose underlying architectures and operational logic are based on artificial intelligence; explore entirely new business models; and foster the emergence of new intelligent-native business formats.<\/p>\n\n\n\n

2. Promote the intelligent development of all elements of the industrial sector. Foster intelligent coordination among all industrial elements and accelerate the implementation of artificial intelligence across all stages\u2014from design and pilot testing to production, services, and operations. Focus on enhancing the AI literacy and skills of the entire workforce, and promote the creation of more reusable expert knowledge across various industries. Accelerate innovation and breakthroughs in industrial software and vigorously develop smart manufacturing equipment. Promote intelligent coordination within industrial supply chains and strengthen adaptive supply-demand matching. Promote AI-driven methods for optimizing production processes. Deepen the integrated application of AI and the Industrial Internet to enhance the intelligent perception, decision-making, and execution capabilities of industrial systems.<\/p>\n\n\n\n

3. Accelerate the digital and intelligent transformation of agriculture. Accelerate innovation in AI-driven breeding systems and support the application of smart technologies in agricultural sectors such as crop cultivation and animal husbandry. Vigorously develop smart equipment such as intelligent agricultural machinery, agricultural drones, and agricultural robots to enhance the capabilities of agricultural production and processing tools in areas such as intelligent sensing, decision-making, control, and operation, and strengthen platform-based and intelligent management of agricultural machinery and tools. Strengthen the application of artificial intelligence in areas such as agricultural production management and risk prevention to help farmers improve their production and management capabilities and standards.<\/p>\n\n\n\n

4. Innovate new models for the development of the service sector. Accelerate the evolution of the service sector from digitally empowered Internet services to new, intelligence-driven service models; expand the scope of business operations; and promote the development of modern services toward greater intelligence and innovation. Explore new models that combine unmanned services with human-provided services. Promote the widespread application of next-generation smart terminals and intelligent systems in fields such as software, information technology, finance, business, law, transportation, logistics, and commerce.<\/p>\n\n\n\n

(3) Enhancing the Quality of \u201cAI+\u201d Consumption<\/p>\n\n\n\n

1. Expand new scenarios for service consumption. Foster smart service models with broader coverage and richer content; accelerate the development of efficiency-enhancing and companion-based smart native applications; and support the creation of new service entry points, such as smart assistants. Strengthen the development of smart consumer infrastructure, improve the quality of daily life services\u2014including entertainment, e-commerce, housekeeping, property management, transportation, elderly care, and childcare\u2014and expand new scenarios for service consumption, such as experiential consumption, personalized consumption, and cognitive and emotional consumption.<\/p>\n\n\n\n

2. Foster new models of product consumption. Promote the \u201cInternet of Everything\u201d for smart devices, cultivate an ecosystem for smart products, and vigorously develop next-generation smart devices such as smart connected vehicles, AI-powered smartphones and computers, smart robots, smart home devices, and smart wearables to create an integrated smart interactive environment that covers all scenarios. Accelerate the integration of artificial intelligence with technologies such as the metaverse, low-altitude flight, additive manufacturing, and brain-computer interfaces, as well as product innovation, to explore new forms of smart products.<\/p>\n\n\n\n

(4) \u201cAI+\u201d and People\u2019s Well-being<\/p>\n\n\n\n

1. Create smarter ways of working. Actively leverage the role of artificial intelligence in creating new jobs and enhancing traditional ones; explore new organizational structures and management models for human-machine collaboration; foster and develop innovative work formats such as intelligent agents; and promote their application in positions characterized by labor shortages or high-risk environments. Vigorously support AI skills training to stimulate innovation, entrepreneurship, and re-employment opportunities in the field of artificial intelligence. Strengthen risk assessments regarding the impact of AI applications on employment, guide innovation resources toward areas with high job-creation potential, and minimize the negative impact on employment.<\/p>\n\n\n\n

2. Promote more effective learning methods. Integrate artificial intelligence into all elements and stages of education and teaching; innovate new models of human-machine collaborative education\u2014such as smart study companions and smart teachers\u2014to shift the focus of education from knowledge transmission to competency development; accelerate the implementation of large-scale personalized instruction; improve educational quality; and promote educational equity. Develop intelligent, scenario-based, interactive learning models to promote self-directed learning that is more flexible in approach and richer in resources. Encourage and support the general public in actively learning new knowledge and technologies related to artificial intelligence.<\/p>\n\n\n\n

3. Create a better quality of life. We will explore and promote high-quality health assistants accessible to all, systematically advance the application of artificial intelligence in areas such as diagnostic assistance, health management, and medical insurance services, and significantly enhance the capacity and efficiency of primary-level healthcare services. We will encourage artificial intelligence to play a greater role in fostering cultural production, strengthening cultural dissemination, and promoting cultural exchange; utilize AI to assist in the creation of more cultural content featuring elements and symbols of Chinese culture; and strengthen the cultural industry. We will fully leverage the important role of artificial intelligence in strengthening interpersonal relationships, providing emotional comfort and companionship, supporting elderly care, childcare, and services for people with disabilities, and promoting national fitness. We will expand the application of artificial intelligence throughout the entire lifecycle of \u201cquality housing\u201d and actively build a more compassionate smart society.<\/p>\n\n\n\n

(5) \u201cAI+\u201d Governance Capabilities<\/p>\n\n\n\n

1. Create a new vision for human-machine symbiosis in social governance. Orderly advance the intelligent transformation and upgrading of municipal infrastructure; explore urban planning, construction, and governance geared toward the development of next-generation smart devices; and enhance the level of intelligent urban operations. Accelerate the expansion of AI products and services into rural areas to promote inclusive smart development in both urban and rural areas. Conduct in-depth social experiments involving AI. Safely, prudently, and orderly advance the application of AI in government affairs to create a new model of public services characterized by precise needs identification, proactive service planning, and end-to-end intelligent processing. Accelerate the application of AI in bidding and tendering activities for various public resources to enhance the level of intelligent transaction services and regulatory oversight.<\/p>\n\n\n\n

2. Create a new framework for diverse and collaborative public safety governance. Promote the development of a public safety governance system that integrates natural persons, digital personas, and intelligent robots into a unified whole, strengthen the application of artificial intelligence in areas such as work safety supervision, disaster prevention, mitigation, and relief, public safety early warning, and public order management; improve the effectiveness of monitoring and early warning, regulatory enforcement, command and decision-making, on-site rescue, and social mobilization; and enhance the capacity to use artificial intelligence to safeguard and shape national security. Accelerate efforts to leverage artificial intelligence to empower cyberspace governance, and strengthen capabilities in precise information identification, proactive situation assessment, and real-time risk response.<\/p>\n\n\n\n

3. Jointly paint a new picture of ecological governance for a Beautiful China. We will enhance the level of integrated dynamic monitoring across air, land, space, and sea, as well as smart planning of territorial space, and strengthen the optimal allocation of resources and factors. Focusing on multi-factor ecological and environmental systems\u2014including air, water, oceans, soil, and biodiversity\u2014as well as the development of the national carbon market, we will improve AI-driven capabilities in monitoring, forecasting, simulation, and problem resolution, and promote the establishment of an intelligent, collaborative, and precise governance model.<\/p>\n\n\n\n

(6) Global Cooperation on \u201cAI+\u201d<\/p>\n\n\n\n

1. Promote inclusive and shared access to artificial intelligence. Treat artificial intelligence as an international public good that benefits humanity, and build an open ecosystem for AI capacity-building characterized by equality, mutual trust, diversity, and win-win outcomes. We will deepen high-level openness in the field of artificial intelligence, promote the open-source and accessible nature of AI technologies, strengthen international cooperation in areas such as computing power, data, and talent, help countries in the Global South enhance their AI capacity-building, support all countries in participating equally in the process of intelligent development, and bridge the global digital divide.<\/p>\n\n\n\n

2. Jointly build a global governance system for artificial intelligence. Support the United Nations in playing a leading role in the global governance of artificial intelligence, explore the development of a governance framework with broad participation from all countries, and jointly address global challenges. We will deepen exchanges and cooperation with international organizations and specialized agencies, and strengthen alignment and coordination on governance rules and technical standards. We will jointly assess and actively address the risks associated with AI applications to ensure that AI development is safe, reliable, and controllable.<\/p>\n\n\n\n

III. Strengthening Basic Support Capabilities<\/strong><\/p>\n\n\n\n

(7) Enhance fundamental model capabilities. Strengthen basic theoretical research in artificial intelligence, and support multi-path technical exploration and innovation in model infrastructure. Accelerate research into more efficient model training and inference methods, and actively promote the coordinated development of theoretical, technological, and engineering innovations. Explore new forms of model application, enhance the ability to handle complex tasks, and optimize the user experience. Establish and improve a model capability evaluation system to facilitate the effective iterative improvement of model capabilities.<\/p>\n\n\n\n

(8) Strengthen innovation in data supply. Adopting an application-oriented approach, we will continue to strengthen the development of high-quality AI datasets. Refine data property rights and copyright systems to support the development of artificial intelligence, and promote the lawful and compliant opening of copyrighted content generated by publicly funded projects. Encourage the exploration of data cost compensation and revenue sharing based on value contribution to strengthen incentives for data supply. Support the development of technologies such as data annotation and data synthesis, and foster the growth of the data processing and data services industries.<\/p>\n\n\n\n

(9) Strengthen the coordinated management of intelligent computing power. Support breakthrough innovations in artificial intelligence chips and the cultivation of an enabling software ecosystem, and accelerate technological breakthroughs and engineering implementation of ultra-large-scale intelligent computing clusters. Optimize the national layout of intelligent computing resources, improve the nationwide integrated computing power network, give full play to the role of the \u201cEast Data, West Computing\u201d national hubs, and enhance the coordination of resources such as data, computing power, electricity, and networks. Strengthen the interconnectivity of intelligent computing power and the alignment of supply and demand; innovate operational models for intelligent computing infrastructure; encourage the development of standardized, scalable cloud computing services; and promote the provision of intelligent computing power that is universally accessible, user-friendly, cost-effective, green, and secure.<\/p>\n\n\n\n

(10) Optimize the environment for application development. Plan and construct a number of national AI application pilot bases and establish common platforms for industry applications. Promote the intelligent transformation of software and information service enterprises, and restructure product forms and service models. Cultivate AI application service providers, develop services such as \u201cModel-as-a-Service\u201d and \u201cAgent-as-a-Service,\u201d and build an AI application service chain. Improve guidelines for building AI application scenarios, as well as evaluation criteria and incentive policies for openness, and refine management systems that allow for trial-and-error and tolerance for mistakes in application development. Strengthen the protection, commercialization, and collaborative application of intellectual property. Accelerate the development of AI standards in key areas and promote the coordination of cross-industry, cross-domain, and international standards.<\/p>\n\n\n\n

(11) Promote the prosperity of the open-source ecosystem. Support the development of open-source communities in artificial intelligence, promote the aggregation and sharing of models, tools, and datasets, and foster high-quality open-source projects. Establish and improve evaluation and incentive mechanisms for open-source contributions in artificial intelligence, and encourage universities to incorporate open-source contributions into student credit certification and faculty achievement recognition. Support enterprises, universities, and research institutions in exploring new, inclusive, and efficient models for open-source applications. Accelerate the development of an open-source technology system and community ecosystem accessible globally, and foster open-source projects and development tools with international influence.<\/p>\n\n\n\n

(12) Strengthen talent development. Promote artificial intelligence education across all educational levels and general education throughout society; refine the structure of academic disciplines and majors; intensify efforts to cultivate high-level talent; develop innovative models for training leading talent through unconventional approaches; strengthen faculty development; and advance the integration of industry and education, interdisciplinary training, and international cooperation. We will refine a diversified evaluation system tailored to the professional attributes and job characteristics of AI talent, better leverage the role of leading talent, provide young professionals with greater opportunities to demonstrate their capabilities, and encourage active exploration of uncharted territory in AI. We will support enterprises in making proper and standardized use of medium- and long-term incentive mechanisms\u2014such as equity and stock options\u2014to attract, retain, and utilize talent.<\/p>\n\n\n\n

(13) Strengthen policy and regulatory safeguards. Improve systems for performance evaluation and risk supervision of state-owned capital investments in the AI sector. Increase financial and fiscal support for the AI sector; develop and expand long-term capital, patient capital, and strategic capital; improve risk-sharing and investment exit mechanisms; and fully leverage the role of policies such as fiscal funding and government procurement. Refine laws, regulations, and ethical guidelines related to artificial intelligence, and advance legislative efforts to promote the healthy development of artificial intelligence. Optimize security assessment and filing management systems related to artificial intelligence.<\/p>\n\n\n\n

(14) Enhance security capabilities. Promote the development of security capabilities in model algorithms, data resources, infrastructure, and application systems; mitigate risks arising from model \u201cblack-box\u201d behavior, \u201challucinations,\u201d and algorithmic bias; strengthen proactive assessment, monitoring, and response; and promote the compliant, transparent, and trustworthy use of artificial intelligence. Establish and improve systems for AI technology monitoring, risk early warning, and emergency response; strengthen government guidance and industry self-regulation; adhere to an inclusive and prudent approach with classification and grading; and accelerate the formation of a dynamic, agile, and multi-stakeholder collaborative AI governance framework.<\/p>\n\n\n\n

IV. Implementation<\/strong><\/p>\n\n\n\n

We must ensure that the Party\u2019s leadership is fully integrated into every stage of the \u201cAI+\u201d initiative. The National Development and Reform Commission should strengthen overall coordination to foster a synergistic effort. All regions and departments must closely align their efforts with local realities, implement these measures in a manner tailored to their specific circumstances, and ensure they are effectively carried out and yield tangible results. We must strengthen exemplary leadership and, at appropriate times, summarize and promote successful experiences and practices. We must also enhance public outreach and guidance, build broad social consensus, and foster a positive atmosphere of widespread public participation.<\/p>\n\n\n\n

State Council<\/p>\n\n\n\n

August 21, 2025<\/p>","protected":false},"excerpt":{"rendered":"

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0px;}.uagb-block-9201899d.uagb-infobox__content-wrap .uagb-ifb-content .uagb-ifb-left-title-image > img{padding-left: 0px;padding-right: 0px;padding-top: 0px;padding-bottom: 0px;border-radius: 0px;}.uagb-block-9201899d.uagb-infobox__content-wrap .uagb-ifb-content > img{padding-left: 0px;padding-right: 0px;padding-top: 0px;padding-bottom: 0px;border-radius: 0px;}.uagb-block-9201899d .uagb-ifb-title-wrap .uagb-ifb-title-prefix{margin-bottom: 10px;margin-top: 5px;}.uagb-block-9201899d .uagb-ifb-title{font-weight: 400;margin-bottom: 0px;}.uagb-block-9201899d .uagb-ifb-desc{margin-bottom: 20px;}.uagb-block-9201899d .uagb-ifb-separator{width: 30%;border-top-width: 2px;border-top-color: #333;border-top-style: solid;margin-bottom: 0px;}.uagb-block-9201899d .uagb-infobox__content-wrap .uagb-ifb-separator{width: 30%;border-top-width: 2px;border-top-color: #333;border-top-style: solid;}.uagb-block-9201899d .uagb-ifb-align-icon-after{margin-left: 5px;}.uagb-block-9201899d 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