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AI competition is indeed entering a new Cold War phase. But it will not simply split into two completely isolated blocs. It is more likely to form a layered structure: at the top, frontier models and advanced chips will become highly securitized; in the middle, open-source models, enterprise applications, and industry tools will still retain partial flows; at the bottom, developer ecosystems and hardware adaptation will move toward a multi-track coexistence.

Alice and James’ article correctly sees that AI competition is entering a Cold War-like stage. It also recognizes that U.S. AI policy is not driven purely by national security logic, but also by the corporate moat-building interests of Anthropic and OpenAI. It understands why DeepSeek’s low-cost model has shaken the U.S. market, and it points to a real tension: Trump may seek broader deals with China on trade, finance, market access, or macroeconomic issues, but AI, chips, model capabilities, biotechnology, and dual-use technologies will find it increasingly difficult to return to ordinary commercial logic.

But the article still largely remains at the level of “the U.S. and China are trying to prevent technology leakage to each other.” The deeper shift is that global AI is moving away from an open, transnational, Silicon Valley-centered technology ecosystem toward a partitioned structure shaped by national security, compute boundaries, model-capability controls, capital screening, and domestic industrial systems.

The U.S. is trying to prevent China from acquiring frontier capabilities. China, in turn, is beginning to prevent its own AI assets from being absorbed by American capital and platforms. China’s reported blocking of Meta’s acquisition of Manus, the U.S. crackdown on model distillation, and DeepSeek’s disruption of the American AI narrative are all different sides of the same structural change: AI is no longer just a global technology market. It is becoming one of the core infrastructures of 21st-century great-power competition.

This is the central argument of my recent post, “The Great Partition of Global AI.” China has demonstrated another path for AI diffusion: lower cost, stronger engineering optimization, faster industrial deployment, and large-scale applications better suited to non-Western markets. If America’s advantage lies in frontier models and advanced compute, China’s advantage may lie in low-cost diffusion, industry embedding, open-source ecosystems, domestic compute adaptation, and dense application scenarios. That is the foundation on which China may remain competitive even after the global AI system becomes increasingly partitioned.

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