China has officially launched a national-level AI strategy aimed at securing global leadership in artificial intelligence. The announcement came during the 2025 National People’s Congress, with new laws, funding packages, and global governance proposals all put forward in one coordinated push. The country is not just focusing on research but also on ethical rules, international influence, and real-world deployment. This article explains everything you need to know, from the investments being made to the technologies being prioritized.
What Is China’s National AI Strategy?
The national AI strategy is China’s long-term plan to boost development, deployment, and governance of AI across industries. It’s led by the central government but involves coordinated action between ministries, regional authorities, tech companies, and research institutions.
The most significant part of this strategy is a legislative proposal for a new AI law. This law is under review and aims to regulate how AI is built, deployed, and used nationwide. It builds on China’s previous regulations like the Interim Measures for Generative AI, introduced in 2023.
How Much Funding Has Been Allocated?
China is backing this AI strategy with major funding. The central government has established a CNY 60 billion (roughly USD 8.2 billion) national fund focused on AI innovation. In addition to this, about RMB 138 billion in local-level venture guidance funds are being deployed to support startups and AI commercialization.
The focus is not just on the tech giants. Regional hubs like Hangzhou have launched their own programs, including investments in six rising AI companies, sometimes called the “Six Little Dragons.” These companies are receiving up to RMB 300 billion annually in local support.
Key Funding Streams in China’s AI Strategy
Source of Funding | Amount Allocated | Purpose |
National AI Fund | CNY 60 billion | Foundational research and tech development |
Local Venture Funds | RMB 138 billion | Startup support and private-sector scaling |
Hangzhou City AI Plan | RMB 300 billion/year | Regional AI cluster investment |
Educational AI Initiatives | Not disclosed | Talent training and upskilling |
What Technologies Are Being Prioritized?
China’s AI strategy is not limited to just language models. It targets a wide range of future-focused technologies:
- Generative AI (like text-to-image and large language models)
- Embodied AI (robots, autonomous vehicles, AI in physical systems)
- Smart manufacturing and industrial automation
- Biomanufacturing and digital healthcare
- Quantum computing and 6G communication systems
- Data infrastructure and cloud compute systems
The emphasis on embodied AI and biomanufacturing reflects China’s goal to link artificial intelligence to physical industries and national resilience.
Which Companies Are Leading the Push?
Several Chinese firms are emerging as leaders in this new AI wave. DeepSeek has drawn attention with its open-source DeepSeek R1 model. Baidu continues to evolve its ERNIE series, with ERNIE 4.5 showing competitive benchmarks. Other players include Huawei, Tencent, and Alibaba, all of which are aligning their R&D efforts with the government’s priorities.
Local startup clusters, especially in Hangzhou and Shenzhen, are being given funding and fast-track licenses to scale up production and global expansion. These clusters are part of China’s effort to reduce reliance on U.S. chips and infrastructure.
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How Is China Regulating AI?
China already enforces some of the strictest AI regulations in the world. The Interim Measures for Generative AI, enacted in August 2023, require AI developers to register with the Cyberspace Administration of China. These rules include:
- Mandatory labelling of synthetic content
- Limits on training data usage
- Built-in content filters
- Strict data privacy requirements
The proposed national AI law will go further by consolidating these measures into a single framework. It aims to address algorithmic accountability, risk controls, and cross-border AI deployment.
China’s approach focuses on balance: allowing innovation, but under state oversight. This sets it apart from the more hands-off models seen in other countries.
How Is China Shaping Global AI Governance?
In July 2025, China used the World AI Conference in Shanghai to propose a new global AI governance organization. The goal is to create an international group that manages AI risk, ethics, and research exchange without being dominated by any one country.
This proposal includes a 13-point cooperation framework focused on:
- Algorithmic transparency
- Equal access to training data
- Ethical development standards
- Multilateral innovation exchanges
The move is seen as an attempt to challenge U.S.-led governance bodies and promote a multipolar AI future.
China’s AI Technology Priorities vs Regulatory Actions
Technology Area | Strategic Focus | Current Regulation in Place |
Generative AI | National scale deployment, public tools | Interim Measures for Gen AI |
Embodied AI | Robotics, autonomous systems | Pending national law |
Quantum & 6G | Long-term national defense and telecom | Government R&D funding oversight |
Biomanufacturing | Healthtech, agriculture, pharmaceuticals | Sector-specific guidelines |
AI in Education | Learning platforms, tutoring bots | Ethical review required for all tools |
What Does It Mean for the Global Market?
China’s AI strategy is not just domestic. It’s designed to make the country a dominant global force in AI research and applications. By integrating law, funding, and diplomacy, China is building a full-stack AI ecosystem.
For global tech firms, this means more competition and stricter localization requirements. For researchers and professionals, it means more opportunities in areas like smart manufacturing, robotics, and bio-AI—especially if you understand the Chinese regulatory and business landscape.
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Final Thoughts
China’s national AI strategy is the most comprehensive push yet by any country to own the future of artificial intelligence. With massive funding, strong regulatory control, and ambitions for global leadership, the strategy will impact not just local industries but the entire tech world.
As AI becomes a global driver of innovation and policy, keeping pace with developments like this will be essential for anyone working in technology, governance, or strategic planning.