Xi Jinping Urges Global AI Cooperation as U.S. Technology Curbs Accelerate China's Push for Self-Reliance

Chinese President Xi Jinping speaks at the World Artificial Intelligence Conference in Shanghai, calling for stronger global AI cooperation while criticizing technology restrictions that have intensified the U.S.-China AI rivalry.

 SHANGHAI — Chinese President Xi Jinping has called for stronger international cooperation on artificial intelligence, warning against allowing AI development to become dominated by a single country while criticizing the expansion of national security restrictions that have increasingly limited China's access to advanced semiconductor technologies.

Speaking at the World Artificial Intelligence Conference (WAIC) 2026 in Shanghai on Friday, Xi positioned China as an advocate for collaborative AI governance, even as geopolitical tensions continue to reshape the global technology landscape. His remarks come at a pivotal moment when AI has evolved from a commercial innovation race into one of the defining strategic competitions between the United States and China.

Rather than merely responding to U.S. export controls, Xi's speech signaled China's broader ambition: to become not only an AI powerhouse but also a leading architect of the international rules governing artificial intelligence.

AI Has Become a Geopolitical Battleground

Xi emphasized that artificial intelligence should remain a shared technological achievement rather than a strategic asset controlled by a handful of nations.

"The development of artificial intelligence should not be a solo performance by any single country but rather a symphony of global cooperation," Xi said during his keynote address.

He also criticized what Beijing describes as the "overstretching" of national security concerns—a clear reference to export restrictions imposed by Washington and several allies on advanced AI chips, semiconductor manufacturing equipment, and high-performance computing technologies.

From Beijing's perspective, these restrictions are less about security and more about preserving technological leadership. Washington, meanwhile, argues the measures are necessary to prevent advanced AI capabilities from strengthening China's military and surveillance infrastructure.

The disagreement illustrates how AI policy has increasingly become intertwined with diplomacy, trade, national defense, and economic competitiveness.

U.S. Restrictions Are Reshaping China's AI Industry

Over the past several years, American export controls have significantly reduced China's access to cutting-edge GPUs produced by companies such as NVIDIA and AMD, forcing Chinese technology firms to rethink their AI strategies.

Instead of slowing innovation entirely, these restrictions have accelerated domestic investment.

Chinese companies have responded by:

• Developing indigenous AI accelerators.
• Expanding domestic semiconductor production.
• Optimizing software to reduce dependence on premium hardware.
• Investing heavily in open-source AI ecosystems.

One of the clearest examples is DeepSeek, whose open-source large language models gained global attention for delivering competitive performance while requiring substantially lower deployment costs than many proprietary Western alternatives.

The emergence of DeepSeek demonstrated an important shift in China's AI strategy. Rather than competing exclusively through the largest and most expensive frontier models, Chinese developers increasingly focus on efficiency, accessibility, and open collaboration—an approach that resonates strongly with startups, universities, and governments across emerging markets.

Huawei's Atlas 950 Reflects China's Hardware Ambitions

The conference also showcased Huawei's latest AI infrastructure, including the Atlas 950 SuperPoD, a high-performance AI computing platform designed for enterprise-scale model training.

The significance of products like Atlas 950 extends beyond hardware specifications.

Since access to NVIDIA's most advanced AI chips remains restricted, Chinese cloud providers, research institutions, and state-owned enterprises have increasingly adopted domestically designed AI systems. While analysts generally agree that Chinese chips still trail the most advanced Western alternatives in raw performance, continuous improvements have narrowed the gap enough for many commercial AI workloads.

This represents a broader trend seen throughout China's technology sector: external constraints have accelerated domestic innovation rather than halted it.

China Wants to Shape Global AI Governance

Xi used the conference to announce several international initiatives aimed at expanding China's influence in AI governance.

Among the commitments:

• 5,000 AI training opportunities for developing countries over the next five years.
• Expanded AI partnerships with ASEAN, the African Union, BRICS nations, the League of Arab States, and Latin American organizations.
• Access for 30 countries to China's AI-powered meteorological early warning system.
• Support for the newly announced World Artificial Intelligence Cooperation Organization, an intergovernmental body headquartered in Shanghai.

These initiatives mirror China's broader diplomatic strategy seen in infrastructure, digital connectivity, and renewable energy—offering technology partnerships alongside financing and technical expertise.

For developing countries with limited AI infrastructure, affordable open-source models and technical training may prove more immediately valuable than access to premium commercial AI platforms.

A Practical Example: Why Emerging Economies May Welcome China's AI Approach

Consider a national meteorological agency in Southeast Asia attempting to improve flood prediction.

Building an advanced AI forecasting system independently would require expensive computing infrastructure, specialized engineers, and years of research.

If China provides an operational AI weather platform alongside technical training, that country gains immediate disaster preparedness capabilities without bearing the full development cost.

This illustrates why China's AI diplomacy may find receptive partners outside traditional Western alliances.

The same pattern has already emerged in cloud computing, digital payments, telecommunications, and smart city technologies, where affordability often outweighs ideological alignment.

The Global AI Race Is No Longer Just About Technology

Perhaps the most important takeaway from Xi's speech is that AI competition has expanded beyond research laboratories.

Today's AI race increasingly revolves around four interconnected pillars:

• Computing infrastructure
• Semiconductor supply chains
• Open-source ecosystems
• International governance

Leadership will depend not only on who builds the most capable AI models but also on who supplies infrastructure, trains global talent, establishes technical standards, and earns international trust.

This explains why conferences such as WAIC have become strategic diplomatic events rather than purely technology showcases.

What Businesses and Policymakers Should Watch

For organizations following global AI developments, several trends deserve close attention.

First, businesses operating internationally should prepare for a world where AI ecosystems become increasingly regionalized. Compatibility with both Western and Chinese AI platforms may become an important competitive advantage.

Second, governments in emerging markets may face growing pressure—and opportunity—to choose between multiple AI partnerships rather than relying on a single technology provider.

Third, developers should continue monitoring the rapid progress of open-source AI. Lower-cost, openly available models are expanding AI adoption far beyond large technology companies and could reshape competitive dynamics over the coming years.

The Future of Global AI Governance

Xi Jinping's call for greater international cooperation reflects China's determination to present itself as a central player in the future governance of artificial intelligence, even as technological rivalry with the United States intensifies.

Whether that vision gains widespread global support remains uncertain. Deep disagreements persist over security, data governance, intellectual property, and military applications of AI. Yet one reality is becoming increasingly difficult to ignore: artificial intelligence is no longer solely a technological competition—it is now a defining element of global economic influence, diplomatic strategy, and international power.

As countries invest billions into AI infrastructure and regulation, the decisions made today about cooperation, standards, and access will shape not only the next generation of innovation but also the balance of technological leadership for decades to come.