
Chinese leader Xi Jinping used his first visit to the World Artificial Intelligence Conference to position Beijing as the leader of a new global AI order, calling on countries to adopt open-source models as a response to unequal access to technology. At the same event, Chinese firm Moonshot unveiled what it claimed is the world's biggest open AI model. Though US AI systems remain more advanced, experts note that China's strengths in chips and energy access could give it a competitive edge in the broader AI ecosystem.
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Chinese leader Xi Jinping made his first appearance at the World Artificial Intelligence Conference, framing Beijing as the leader of a new global AI order and calling on countries to seize the "historic opportunity" of open-source models. At the same event, Chinese tech firm Moonshot unveiled what it claimed is the world's biggest open AI model.
Why it matters
Xi's framing of open-source AI as a solution to "new historical injustices" emerging from unequal access to the technology signals Beijing's intent to position itself as an alternative to US-led AI development. Though US systems remain the most advanced, experts believe China's leadership in other layers of the AI stack — including abundant access to chips and energy — could give its champions an advantage in competing for global influence.
What to watch
The practical impact of China's open-source strategy on the global AI competitive landscape, particularly whether it shifts how developing nations adopt and build AI systems.
Chinese leader Xi Jinping attended the World Artificial Intelligence Conference for the first time, using the platform to reframe the global AI competition. Rather than positioning China as a follower trying to catch up to the US, Xi cast Beijing as the leader of a new AI world order built on open-source models and more equitable access to technology.
In his remarks, Xi warned that "new historical injustices" were emerging due to unequal access to AI technology and called on countries to seize the "historic opportunity" of open-source models. This framing appeals to developing nations concerned about dependence on US-controlled closed AI systems. At the same conference, Chinese tech firm Moonshot used the platform to unveil what it claimed is the world's biggest open AI model, giving concrete weight to Xi's vision of Chinese leadership in the open-source space.
However, experts offer important context: US AI systems remain the most advanced globally. China's real competitive edge, according to analysts, lies not in the sophistication of its AI models but in its control of foundational infrastructure—abundant access to semiconductors (chips) and energy resources. This advantage in the AI stack's underlying layers could allow Chinese companies to build economic and political influence regardless of whether their open-source models technically outperform US alternatives, making the open-source initiative as much a geopolitical strategy as a technical one.
Xi's intervention at the World Artificial Intelligence Conference marks a deliberate shift in how China is positioning itself in global AI competition. Rather than competing head-to-head on model sophistication alone—where US systems currently lead—Beijing is framing open-source AI as both a moral imperative and a strategic asset. By invoking language about "historical injustices" and "unequal access," Xi is attempting to build a coalition of developing nations and position China as the champion of a more democratized AI ecosystem.
The timing of Moonshot's announcement at the same event reinforces this messaging strategy. While the claim of the "world's biggest" open model remains unverified, the coordination between Xi's remarks and the company's unveiling suggests a state-level alignment of narrative. Experts' assessment that China's real competitive advantage lies not in raw model sophistication but in control of the underlying infrastructure—chips and energy—indicates that the open-source strategy may be less about model leadership and more about building dependencies and influence across the broader AI supply chain.
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