China Releases “AI Plus” Policy: A Brief Analysis
Tonight, everyone’s WeChat Moments was flooded by one document.
The State Council of China released its Opinions on Deeply Implementing the “Artificial Intelligence Plus” Action.
Back in 2015, the Chinese government first put forward the “Internet Plus” strategy. That year is widely seen as the first year of “Internet Plus” in China. In the 2015 policy paper, AI was just the 11th sub-item under “Internet Plus.”
The essence of “Internet Plus” was to bring offline activities into the online world, using internet technology to break down information barriers and connect people with services and goods with unprecedented efficiency.
For example:
Internet + restaurants = Meituan, Ele.me. The food itself didn’t change, but the internet linked you, the diner, with restaurants and the delivery riders.
Internet + taxis = Didi. The cars didn’t change, but now empty drivers are instantly matched with riders.
Internet + shopping = livestream e-commerce. Shoppers connect with influencers on camera, turning the traditional “people, goods, marketplace” model into an online carnival.
During the whole “Internet Plus” era, the internet essentially acted as a super middleman and coordination platform. It didn’t fundamentally alter the products themselves—you order takeout, the food is still the same; you hail a ride, it’s still the same car.
Ten years later, with the rise of generative AI, China is shifting from “Internet Plus” to “AI Plus.” According to some experts, “Internet Plus” was about “connection” (连接)—linking information to redesign processes and improve efficiency. “AI Plus” builds on that by adding cognitive ability, moving from “information connection and diffusion” to “knowledge application and creation.” Its essence is “empower”(赋能). It promises to reorganize production factors, upgrade value creation models, transform organizational structures, and reshape governance.
The Opinions lay out a three-step roadmap for systematically advancing “AI Plus”:
Step 1: By 2027. Achieve broad and deep AI integration in six key fields. New-generation intelligent terminals and AI agents should have a usage rate of over 70%, and the size of the intelligent economy’s core industries should grow rapidly.
→ In plain terms, in just three years, things that still feel new today—AI assistants, AI “employees,” industry-specific AI agents, AI hardware—will become as common as smartphones and mobile payments are now. They’ll go from tech toys to daily necessities for over 70% of people in China. Think back to how WeChat Pay and Alipay spread across every corner of China from 2015–2018—that’s the kind of adoption speed expected for AI by 2027.
Step 2: By 2030. Penetration of intelligent terminals and AI agents will exceed 90%, and the intelligent economy will become a major growth driver of China’s economy.
→ At 90% adoption, AI essentially becomes infrastructure, like electricity or the internet. By then, if you’re not proficient in using AI at work or in daily life, you’ll feel like the few who still insist on paying cash today—not impossible, but definitely left behind. Most importantly, the document explicitly states that the intelligent economy will be a core growth engine. This is a big deal: for decades China’s growth drivers were real estate and the internet; in the next decade, it will be the intelligent economy. The biggest opportunities, the most profitable companies, and the highest-paying jobs will all come from here.
Step 3: By 2035. China will fully enter a new stage of intelligent economy and intelligent society.
→ The key phrase here is “intelligent society.” This isn’t just about the economy anymore, but about transforming society itself. AI will be deeply woven into law, ethics, culture, and human interaction. How Chinese people work, study, socialize, even think—all will be reshaped. For today’s China, 2035 may feel as distant as looking back from today to the 1990s, before the internet—familiar yet foreign. It’s the point where science fiction starts to become reality.
The Opinions also provide sector-specific guidance for six major areas of AI application.
In science and technology, it calls for exploring AI-driven research paradigms, strengthening AI’s cross-disciplinary role, and supporting intelligent R&D tools. AI for Science isn’t just about natural sciences—the plan even mentions using AI to innovate methods in philosophy and social sciences, moving toward human–machine collaborative research, and studying AI’s impact on cognition, ethics, and decision-making.
On the industrial side, the Opinions propose cultivating AI-native enterprises built on AI-first architectures and business models. It highlights AI’s role in agriculture, industry, and services. Currently, AI in China is concentrated in secondary and tertiary industries, with relatively less application in agriculture. This document marks a systematic push to bring AI into all sectors.
For consumer applications, it calls for expanding AI-powered services like smart assistants, and boosting AI-native applications that improve efficiency or provide companionship. It specifically highlights next-gen products such as connected cars, AI-powered smartphones and PCs, smart robots, smart homes, and wearables.
In public services, the plan highlights AI’s role in reshaping work styles, enabling smart education and personalized learning, and supporting healthcare, cultural production, and more. It also acknowledges worries about AI replacing jobs, calling for large-scale AI skills training, re-employment programs, and directing innovation toward job-creating opportunities.
For governance, it stresses safe and orderly AI adoption in government, including safety regulation, disaster prevention, law enforcement, and environmental monitoring.
On the international front, the Opinions call for cooperation on open-source AI, shared data and computing, and joint governance under the UN framework to address global challenges together.
The plan also covers practical issues like improving IP and data rights for AI training, opening up publicly funded datasets, exploring new models of data compensation and revenue sharing, and strengthening financial and fiscal support for AI. It emphasizes state capital’s role while also encouraging patient, strategic private capital.
Finally, it calls for advancing AI legislation, optimizing security assessment and filing systems, and adopting a flexible, tiered approach to AI governance that is agile, collaborative, and inclusive.
Opinions of the State Council on Deeply Implementing the “Artificial Intelligence Plus” Action
Guo Fa [2025] No. 11
To the people’s governments of all provinces, autonomous regions and municipalities directly under the Central Government; and to all ministries, commissions and directly affiliated agencies of the State Council:
To deepen the implementation of the “AI +” initiative, promote the broad and deep integration of artificial intelligence with all sectors and domains of the economy and society, reshape 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 form of intelligent economy and intelligent society characterized by human-machine collaboration, cross-boundary integration, and co-creation and sharing, the following opinions are hereby proposed.
I. General Requirements
Guided by Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era, we will fully, accurately and comprehensively apply the new development philosophy, adhere to a people-centered approach, and give full play to China’s strengths—abundant data resources, a complete industrial system and vast application scenarios. We will strengthen forward-looking planning, systematic deployment, sector-specific measures, open sharing and safe controllability. Focusing on science and technology, industry, consumption, people’s livelihoods, governance and global cooperation, we will deepen the “AI +” initiative to create a new generation of infrastructure, technology systems, industrial ecosystems and job opportunities, accelerating the cultivation of new quality productive forces so that all people share in the fruits of AI development and better serve Chinese-style modernization.
By 2027, the extensive and deep integration of AI with the six key fields should be achieved ahead of schedule. The adoption rate of new-generation intelligent terminals, agents and other applications will exceed 70%. The core industries of the intelligent economy will grow rapidly, AI’s role in public governance will be markedly enhanced, and an open and cooperative AI system will be continuously improved. By 2030, AI will comprehensively empower high-quality development across the board. The adoption rate of new-generation intelligent terminals, agents and other applications will exceed 90%. The intelligent economy will become an important engine of China’s economic growth, promoting inclusive technology and shared benefits. By 2035, China will have fully entered a new stage of intelligent economy and society, providing strong support for the basic realization of socialist modernization.
II. Accelerate the Implementation of Key Actions
A.“AI +” Science and Technology
Accelerate the pace of scientific discovery.
Expedite the exploration of AI-driven paradigms for scientific research, shortening the journey from “0 to 1” breakthroughs. Advance the development and application of large-scale scientific models, upgrade fundamental research platforms and major scientific facilities with AI capabilities, build open, high-quality scientific datasets, and enhance the handling of complex cross-modal scientific data. Strengthen AI’s role as a cross-disciplinary catalyst to foster convergent development across multiple fields.
Transform R&D models and boost efficiency.
Foster an integrated, AI-driven process that spans research, engineering and product roll-out, accelerating the “1 to N” deployment and iterative refinement of technologies and enabling rapid translation of innovations. Promote the adoption of intelligent R&D tools and platforms, intensify AI-enabled co-innovation with bio-manufacturing, quantum technologies, 6G and other frontier domains, ground new scientific achievements in real-world applications, and let emerging application needs steer further breakthroughs.
Innovate research methods in philosophy and the social sciences.
Shift the research paradigm in these disciplines toward human-machine collaboration, and explore new organizational forms suited to the AI era, thereby broadening research horizons and perspectives. Conduct in-depth studies on AI’s profound impact on human cognition, judgment and ethical norms; elucidate its underlying mechanisms; develop a theoretical framework for beneficial AI; and ensure that AI serves humanity’s well-being.
B.“AI +” Industrial Development
Foster native-intelligence business models and new formats.
Encourage well-positioned enterprises to embed AI into strategic planning, organizational structures and business processes, enabling end-to-end intelligence across all industrial factors. This will modernize traditional industries and open new tracks for strategic and future-oriented sectors. Develop native-AI technologies, products and service systems; rapidly cultivate a cohort of native-AI enterprises whose underlying architecture and operating logic are AI-centric; explore entirely new business models; and give birth to native-intelligence formats.
Advance full-factor intelligent industrial development.
Promote intelligent linkage of every industrial element and accelerate the deployment of AI throughout design, pilot testing, production, services and operations. Raise AI literacy and skills across the workforce so that each sector accumulates more reusable expert knowledge. Break through industrial-software bottlenecks and vigorously expand intelligent manufacturing equipment. Achieve intelligent coordination across industrial supply chains and strengthen adaptive matching of supply and demand. Disseminate AI-driven methods for production-process optimization. Deepen the convergence of AI with the industrial Internet to enhance industrial systems’ ability to perceive, decide and execute.
Accelerate the digital-intelligence transformation of agriculture.
Speed up AI-enabled innovation in breeding systems and support intelligent applications in crop farming, animal husbandry and other agricultural domains. Expand the use of intelligent agricultural machinery, agricultural drones and agricultural robots to boost perception, decision-making, control and operational capabilities in both farming and processing, while promoting platform-based and intelligent management of these tools. Strengthen AI applications in farm management and risk prevention to raise farmers’ operational capacity and performance.
Create new service-industry models.
Move the service sector from digitally empowered Web services to intelligence-driven models, expanding business scope and steering modern services toward greater intelligence and innovation. Explore hybrid models that combine unattended and human services. In software, information, finance, business services, legal services, transportation, logistics and commerce, promote the wide use of new-generation intelligent terminals and agents.
C.“AI +” Consumption Upgrade
Expand new service-consumption scenarios.
Cultivate intelligent service formats that are broader in coverage and richer in content; accelerate the development of efficiency-oriented and companion-oriented native-AI applications; and support new service entry points such as intelligent assistants. Upgrade intelligent-consumption infrastructure to improve the quality of cultural entertainment, e-commerce, household services, property management, mobility, elderly care and childcare, while extending new service-consumption scenes for experiential, personalized, cognitive and emotional consumption.
Foster new product-consumption formats.
Advance “intelligent connectivity of everything” for smart terminals, cultivate intelligent-product ecosystems and vigorously develop new-generation terminals such as intelligent connected vehicles, AI-embedded phones and PCs, intelligent robots, smart homes and wearable devices to create an integrated, full-scenario intelligent-interaction environment. Accelerate the fusion of AI with the metaverse, low-altitude aviation, additive manufacturing and brain-computer interfaces to explore new product forms.
D.“AI +” Social Well-being
Create smarter ways of working.
Harness AI’s capacity to generate new jobs and empower traditional ones; explore new organizational structures and management models based on human-machine collaboration; foster innovative work forms such as intelligent agents; and promote AI use in labor-shortage or high-risk posts. Provide strong support for AI-skills training to stimulate entrepreneurship and re-employment. Strengthen employment-risk assessment of AI applications, steer innovation resources toward areas with high employment potential and mitigate negative impacts on jobs.
Promote more effective learning.
Infuse AI into every element and stage of education; innovate human-machine collaborative models such as AI learning companions and AI teachers; shift the focus of education from knowledge transmission to capability building; achieve large-scale personalized instruction more quickly; raise educational quality; and promote equity. Build intelligent, context-aware interactive learning environments that enable more flexible and resource-rich self-directed study. Encourage and support the whole population to actively acquire new AI knowledge and skills.
Build a higher-quality life for all.
Explore and roll out universally accessible, high-level health assistants for residents; promote orderly AI deployment in assisted diagnosis and treatment, health management and medical-insurance services to markedly improve the capacity and efficiency of primary-level medical care. Leverage AI to enrich cultural production, amplify cultural dissemination and advance cultural exchanges; use AI to help create more cultural content that embodies Chinese cultural elements and symbols, thereby strengthening the cultural industry. Make full use of AI in tightening social bonds, providing emotional companionship, supporting elderly care, childcare and disability assistance, and advancing nationwide fitness programs; expand AI applications across the full life-cycle of “good housing”; and actively build a warmer, more humane intelligent society.
E.“AI +” Governance Capacity
Create a new human-machine symbiosis in social governance.
Systematically upgrade municipal infrastructure with intelligence; explore urban planning, construction and governance oriented toward new-generation intelligent terminals; and raise the intelligence level of urban operations. Extend AI products and services to rural areas to promote inclusive intelligence across urban and rural regions. Conduct in-depth social experiments on AI applications. Safely and steadily advance AI deployment in government affairs to create a new model of government services that precisely identifies needs, proactively plans services and processes cases intelligently from end to end. Accelerate AI use in all types of public-resource bidding and tendering to enhance intelligent transaction services and regulatory oversight.
Forge a multi-stakeholder safety-governance structure.
Build a public-safety governance system that integrates natural persons, digital humans and intelligent robots; strengthen AI applications in safety-production oversight, disaster prevention and mitigation, public-safety early warning and social-security management; and raise capabilities in monitoring, early warning, regulatory enforcement, command decision-making, on-site rescue and social mobilization, thereby enhancing the ability to use AI to safeguard and shape national security. Accelerate AI empowerment for cyberspace governance to strengthen precise information identification, proactive situation assessment and real-time risk handling.
Co-create a new ecological-governance picture of Beautiful China.
Improve integrated space–air–ground–sea dynamic perception and intelligent territorial-spatial planning; strengthen optimal allocation of resource elements. Focus on multi-factor ecological systems—air, water, oceans, soil and biodiversity—and on the national carbon market; enhance AI-driven monitoring and forecasting, simulation and deduction and problem solving to build an intelligent, coordinated precision-governance model.
F.“AI +” Global Cooperation
Promote inclusive sharing of AI.
Treat AI as an international public good for the benefit of humanity; create an open ecosystem for equitable access, mutual trust, diversity and win-win capacity building. Deepen high-level opening in AI; promote open-source and accessible AI technologies; strengthen international cooperation in computing power, data and talent; help Global South countries build AI capacity; support all countries in participating equally in the intelligent development process; and bridge the global intelligence divide.
Jointly build a global AI governance system.
Support the United Nations in playing the primary role in global AI governance; explore governance frameworks with broad international participation to jointly address global challenges. Deepen exchanges and cooperation with international organizations and professional institutions; strengthen alignment of governance rules and technical standards. Jointly assess and actively respond to AI application risks to ensure that AI development is safe, reliable and controllable.
III. Strengthen Foundational Support Capabilities
G.Enhance foundational model capabilities.
Deepen basic AI theory, support multi-path technology exploration and innovation in model architectures, and accelerate research into more efficient training and inference methods. Promote coordinated advances in theoretical, technical and engineering innovation. Explore new model-application modalities, raise performance on complex tasks, and optimize interactive experiences. Establish a robust model-capability evaluation system to enable effective iterative improvement.
H.Expand data-supply innovation.
Oriented by real-world applications, continuously build high-quality AI datasets. Improve data-property and copyright regimes suited to AI development, and ensure that copyright content generated by publicly funded projects is opened in accordance with law and regulation. Encourage pilot mechanisms—such as data-cost compensation and revenue sharing based on value contribution—to strengthen incentives for data supply. Support the development of data-labeling and data-synthesis technologies, and foster a robust data-processing and data-services industry.
I.Coordinate intelligent computing power.
Support breakthrough innovation in AI chips and the cultivation of enabling-software ecosystems; accelerate technological advances and large-scale deployment of ultra-large intelligent-computing clusters. Optimize the national layout of smart-compute resources; improve the nationwide integrated computing-network; fully leverage the national “East-Data, West-Computing” hubs; and enhance coordination among data, compute, power and network resources. Strengthen interconnection and supply-demand matching of intelligent computing; innovate the operating model of intelligent-computing infrastructure; encourage standardized, scalable cloud-compute services; and make AI-grade compute power universally accessible, cost-effective, green and secure.
J.Optimize the environment for application development.
Deploy a batch of national AI-application pilot bases and build industry-wide generic platforms. Drive intelligent transformation of software and information-service enterprises, re-engineering product forms and service models. Cultivate AI-application service providers; develop “Model-as-a-Service,” “Agent-as-a-Service,” and related offerings; and create end-to-end AI-application service chains. Establish guidelines for AI-application scenario construction, openness evaluation and incentive policies; refine trial-and-error and fault-tolerant management regimes; strengthen IP protection, transfer and collaborative utilization; accelerate AI standards formulation in priority areas; and promote cross-sector, cross-domain and international standards alignment.
K.Foster a thriving open-source ecosystem.
Support AI open-source communities; encourage aggregation and open release of models, tools and datasets; and cultivate high-quality open-source projects. Establish evaluation and incentive mechanisms for open-source contributions, and encourage universities to recognize such contributions in student-credit and faculty-assessment systems. Support enterprises, universities and research institutes in exploring inclusive and efficient open-source application models. Accelerate the construction of a globally open-source technical system and community ecosystem, and develop internationally influential open-source projects and development tools.
L.Build a strong talent pipeline.
Advance AI education across all academic stages and AI literacy for the whole society; improve disciplinary structures; increase high-level talent cultivation; create unconventional pathways for cultivating top-tier leaders; strengthen faculty development; and promote industry-academia integration, interdisciplinary training and international collaboration. Establish diversified evaluation systems aligned with the professional attributes and job characteristics of AI talent; better leverage leading experts; give young talents greater room to excel; and encourage bold exploration of AI “uncharted territory.” Support enterprises in using equity, options and other long-term incentives to attract, retain and fully utilize talent.
M.Strengthen policy and regulatory safeguards.
Improve state-capital investment evaluation, risk supervision and related systems in AI fields. Increase financial and fiscal support; grow long-term, patient and strategic capital; refine risk-sharing and exit mechanisms; and fully leverage fiscal funds and government procurement. Improve AI laws, regulations and ethical standards, and advance legislation for the healthy development of AI. Optimize safety-assessment and filing-management regimes for AI applications.
N.Elevate security capabilities.
Advance security capacity-building for models, algorithms, data resources, infrastructure and application systems; guard against risks such as black-box behavior, hallucinations and algorithmic discrimination; strengthen forward-looking assessment, monitoring and remediation; and ensure AI applications are compliant, transparent and trustworthy. Establish and improve AI technology monitoring, risk-warning and emergency-response systems; reinforce government guidance and industry self-regulation; uphold an inclusive and prudent, category-based and tiered approach; and accelerate the formation of a dynamic, agile, multi-stakeholder AI-governance framework.
IV. Organization and Implementation
Uphold the leadership of the Party throughout the entire process of the “AI +” initiative. The National Development and Reform Commission shall strengthen overall coordination and foster concerted action. All regions and departments must closely align with local realities, implement measures tailored to specific conditions, and ensure tangible results. Promote exemplary pilots and, at the appropriate time, summarize and disseminate best practices. Intensify communication and guidance to build broad social consensus and create a favorable environment for the participation of the whole society.
State Council
August 21, 2025
NDRC Official Answers Questions on the Opinions on Deeply Implementing the “Artificial Intelligence Plus” Action
Recently, the State Council issued the Opinions on Deeply Implementing the “Artificial Intelligence Plus” Action (hereinafter referred to as the Opinions). An official from the National Development and Reform Commission (NDRC) was interviewed on this document and answered reporters’ questions.
Q: What is the background of the Opinions?
A: The CPC Central Committee and the State Council attach great importance to the development of artificial intelligence (AI). In recent years, top-level design has been improved and work deployment strengthened, leading to a systemic leap in China’s overall AI capabilities.
At present, AI technology is rapidly iterating, moving from experimental exploration to value creation, triggering profound transformations across all sectors of the economy and society. On one hand, after initial market tests, AI has already demonstrated the ability to solve complex real-world problems. Its role in reducing costs, improving efficiency, and raising total factor productivity is increasingly clear, with application demand stronger than ever—this is a critical window for implementation. On the other hand, smart products and new scenarios are emerging one after another: connected vehicles, wearables, smart homes, and next-generation devices; smart robots are entering factories and households; and AI agents are already playing important roles in production and daily life.
At the same time, problems remain: uneven understanding of AI’s role, mismatches between supply and demand, and “last-mile” difficulties in application rollout. Stronger strategic guidance and coordination are needed so that society fully recognizes AI’s revolutionary impact on productivity, and to comprehensively advance innovation, industrial development, and applications. This will provide new momentum for fostering new quality productive forces and driving high-quality development.
Q: What is the significance of implementing the “AI Plus” Action?
A: From a technological perspective, it helps align with and harness the laws of AI’s evolution. The “AI Plus” Action uses new research outcomes to support real-world applications and lets application demand drive breakthroughs, achieving two-way empowerment of innovation and adoption. This allows the certainty of AI applications to offset uncertainties in technology and external environments, and to accelerate the formation of a vibrant, China-specific AI development path. At the same time, proactively building laws, regulations, policies, and ethical rules in step with technological change helps ensure AI develops in a beneficial, safe, and fair manner.
From a domestic perspective, it will drive AI-enabled high-quality development. The action leverages China’s advantages—rich data resources, a complete industrial system, and vast application scenarios—fostering deep integration of AI across sectors. It supports upgrading traditional industries, opening up new tracks in strategic emerging and future industries, driving demand growth, accelerating growth momentum shifts, and attracting global investment to China. This supports high-quality economic growth and ensures the entire population shares in AI dividends.
From a global perspective, it contributes to higher-level international openness and cooperation. The “AI Plus” Action positions AI as an international public good for the benefit of humanity, promotes global cooperation and technology inclusiveness, and builds a global AI governance system. This helps deepen global cooperation, bridge the “intelligence divide,” and allow more countries and people to share in the opportunities brought by technological progress.
Q: What are the main contents of the Opinions?
A: The Opinions advance policies along two lines:
Application demand–driven: Coordinating domestic and international needs, it launches six “AI Plus” actions. These focus on six key areas—science & technology, industrial development, consumption, livelihood, governance, and global cooperation—analyzing paradigm shifts and setting strategic priorities.
Foundational capacity–driven: Providing hard and soft support, it lays out eight pillars—models, data, computing power, applications, open source, talent, policies & regulations, and security—to build a comprehensive AI foundation system.
Q: What are the standout features of the Opinions?
A: The Opinions respond directly to enterprise concerns with pragmatic measures, focusing on giving the market direction, confidence, tangible impact, and momentum.
Clear policy direction. Application-oriented, it sets out six key actions and a dynamic, multi-party governance system, while addressing challenges such as AI safety risks and job displacement.
Confidence-building. Domestically, it sends strong policy signals, promotes intelligent transformation of industries, and cultivates AI-native businesses. Globally, it emphasizes inclusiveness and cooperation, proposing a new model of “AI Plus” global cooperation.
Tangible results. People-centered, it tailors supportive measures for researchers, enterprises, consumers, citizens, and government agencies, ensuring broad social participation and shared benefits.
Practicality. Problem-driven, it targets issues such as overemphasis on hardware, fragmented applications, and low open-source activity, with tailored measures by sector to establish “AI Plus” strategies across industries.
Q: The Opinions propose building national AI application pilot bases. What is their role?
A: Pilot bases are common capability platforms for scaling AI applications in a standardized, systematic way. Aligned with the six “AI Plus” actions, they will focus on fields such as manufacturing, healthcare, transport, finance, and energy. Their roles include:
Addressing common problems and driving industry efficiency through benchmark applications.
Acting as co-creation platforms linking supply and demand, data, resources, and technologies to incubate leading AI enterprises and clusters.
Establishing common capabilities (standardized computing, data, and models) to lower innovation thresholds and accelerate commercialization.
Building open, win-win ecosystems across value chains to transform industry innovation models.
Q: What are the next steps for implementing the Opinions?
A:
Strengthen coordination. NDRC will play a leading role in unifying efforts, ensuring local adaptation, effective implementation, and broad consensus, avoiding superficial or herd-like behavior.
Define phased priorities. Together with relevant departments, we will identify high-value application scenarios based on potential, maturity, and impact, and roll them out in dynamic phases.
Create favorable environments. Improve laws, regulations, policies, norms, and ethics; increase financial and fiscal support; refine trial-and-error mechanisms; and open government and SOE scenarios to support deployment.
Foster ecosystems. Promote intelligent transformation of industries, cultivate AI application service providers, strengthen open-source communities, and boost international influence.
Manage risks. Continuously assess AI’s impact on industry and employment, strengthen job creation, and establish monitoring, early-warning, and emergency systems to mitigate risks.