China is pursuing what appears to be a contradictory AI strategy, but closer inspection reveals a unified plan to position itself at the center of global AI innovation while insulating its domestic market from foreign competition. In its 15th Five-Year Plan covering 2026 to 2030, Beijing has placed artificial intelligence at the heart of its industrial strategy, combining technological self-reliance, substantial safeguards around its domestic market, freely adaptable AI models, and international diffusion of Chinese AI platforms.

Chinese President Xi Jinping outlined this strategy at the World AI Conference in Shanghai from July 17 to 20, 2026, presenting AI as a "rare, historic opportunity" for open development, collaboration, and sharing. He promoted the newly established Shanghai-based World Artificial Intelligence Cooperation Organization (WAICO) as a vehicle for a "just and equitable" system of global AI governance.

Xi Jinping

Why Does China View AI as Economically Essential?

China faces structural economic headwinds that make AI adoption urgent. The country's investment-driven growth model, particularly in real estate, has become exhausted, and demographic challenges are mounting. Chinese policymakers expect AI to drive productivity gains across both industrial automation and service sectors like healthcare and education.

For example, China's "Action Plan for Artificial Intelligence + Education" calls for using AI to prepare lessons and match students with universities and training programs tailored to emerging industries. This reflects Beijing's bet that AI can sustain economic growth even as the economy shifts toward services, a transition that has historically slowed productivity in Europe and other developed nations.

The economic motive is not unique to China. The global dominance of US tech firms makes remaining at the AI frontier commercially imperative, while the European Union has identified AI and digital infrastructure as essential to meet competitiveness challenges.

How Is China Building "Technological Sovereignty" in AI?

A more consequential driver of China's AI push is the desire to reduce technological dependency, which Beijing views as a geopolitical necessity. The country's reliance on foreign components for AI infrastructure was exposed by US export controls on advanced semiconductors in October 2022, with further restrictions tightened in 2023.

In April 2025, Xi Jinping urged a nationwide mobilization to achieve "self-reliance and self-strengthening" and build an "independent and controllable" AI ecosystem using domestic hardware and software. China is already developing a domestic AI stack, the complete technology infrastructure required for successful development and distribution of AI, from AI chips through machine learning to large language models.

Xi Jinping

This domestic drive is paired with external engagement: encouraging adoption of Chinese AI platforms expands their ecosystem and positions Beijing rather than Washington at the center of global AI development. By contrast, Europe's position is structurally weaker. It remains dependent on US cloud providers and foundation models, as well as Taiwan for advanced chip fabrication.

How Is China Coordinating Its AI Industrial Policy?

China's approach to AI is best understood as a state-coordinated innovation ecosystem, in which planning, industrial policy, infrastructure investment, and selective regulation reinforce one another across every layer of the technology stack. The strategy reflects Xi's call for a "secure and controllable" ecosystem.

• Chip Manufacturing Support: The state provides direct and sizable support through the National Integrated Circuit Industry Investment Fund, which deployed $20 billion in its first phase from 2014, $29.5 billion in its second phase from 2019, and $47.5 billion in its third phase from 2024. Huawei anchors the semiconductor "national team" with access to approximately 70 percent of China's advanced capacity from SMIC, China's leading semiconductor company.
• AI Fund and Compute Subsidies: An $8.2 billion National AI Fund was established in early 2025, targeting computing power, algorithms, data, and applications across the entire AI industry value chain. Beijing offers compute subsidies through local voucher programs, with Shenzhen providing up to 500 million renminbi annually, and government guidance funds that function as public-private partnerships to incentivize private capital flow.
• Domestic Market Protection: Domestic firms are shielded by regulatory barriers that make it difficult for foreign providers to offer generative AI services in China. This protected home market has allowed domestic platforms to accumulate users and data and generate revenues to fund model development.
• Economy-Wide Adoption Push: Since 2024, Chinese AI policy has turned decisively toward economy-wide adoption through the "AI+" initiative, which aims to facilitate AI adoption across industrial and service sectors, building on earlier initiatives for open-innovation platforms and AI innovation application pilot zones.

For model and application development, the state enables rather than directs. Instead of funding large language model development outright, Beijing offers compute subsidies and government guidance funds that incentivize where private capital should flow.

What Is China's Strategy for Global AI Diffusion?

China's strategy to publish the weights, or underlying parameters, behind its leading AI models to facilitate adoption and localize user data represents its sharpest competitive tool. Beijing embraced open-weight development to lower entry barriers at home and reduce reliance on sanction-vulnerable foreign intellectual property.

This approach differs markedly from the US strategy, which focuses on maintaining proprietary control over advanced models, and from Europe's fragmented approach. By making its models more accessible, China aims to expand the ecosystem around Chinese AI platforms globally, creating network effects that benefit Beijing's technological position.

How Does China's Military AI Strategy Fit Into This Plan?

China's third objective, AI for military capability, is the least publicly acknowledged but arguably the most significant goal. AI is already integrated into autonomous systems, intelligence analysis, logistics, and battlefield decision support in both US and Chinese armed forces.

While the US maintains the world's largest military AI investment, China is integrating civilian technological and industrial capabilities with military research, procurement, and production, explicitly conceptualizing an AI-enhanced military. However, the military aspect was largely absent from Xi's World AI Conference address, suggesting Beijing prefers to emphasize the civilian and cooperative dimensions of its AI strategy in international forums.

Europe's military AI capabilities remain fragmented, although rearmament spurred by Russia's invasion of Ukraine in 2022 has begun to stimulate defense-related AI investment.

What Are the Implications for Global AI Governance?

China's unified strategy reveals how a state can pursue seemingly contradictory goals, technological sovereignty and global market expansion, as complementary facets of a single vision. By building a protected domestic market while simultaneously promoting Chinese AI models globally, Beijing aims to position itself at the center of innovation, diffusion, standard-setting, and adoption in artificial intelligence.

This contrasts with the US approach, which relies on private sector leadership and open markets, and with Europe's weaker position, which remains dependent on foreign infrastructure and models. The establishment of WAICO signals China's intent to shape the rules and norms of global AI governance, potentially creating an alternative framework to Western-led AI policy discussions.

As the EU continues to implement its AI Act and other regulatory measures, the divergence between China's state-coordinated approach and Europe's rules-based framework will likely intensify, creating distinct regional AI ecosystems with different governance models, technical standards, and competitive dynamics.