According to Together AI's CEO, China's leadership in open-source AI is a function of market structure, not a philosophical preference. The market is organized around open models, with companies competing by building APIs and applications on top, creating a different game-theoretic equilibrium than the closed-model US market.

While Western AI labs focus on lucrative enterprise API sales, China's weak B2B software market forces companies like Alibaba and ByteDance to pursue other business models. Their deep expertise in e-commerce means they are better positioned and more motivated to pioneer successful generative commerce applications.

The emergence of high-quality open-source models from China drastically shortens the innovation window of closed-source leaders. This competition is healthy for startups, providing them with a broader array of cheaper, powerful models to build on and preventing a single company from becoming a chokepoint.

Intense competition in China's AI market has led to a prevalence of open-source models. This creates a dynamic where competitors share best practices, allowing all models to learn from one another. This ecosystem structure is capable of innovating far faster than a closed, proprietary system.

The intense competition and personal rivalries among AI lab leaders, while seemingly petty, serve as a structural safeguard. This prevents the formation of a monopoly on frontier AI. The resulting diversity in model weights and ownership makes a unilateral takeover by a single entity's AI far less likely than in a world with a unified development effort.

Contrary to the common narrative of China championing open-source AI, companies like ByteDance keep their frontier models (e.g., Sea Dance 2.5) closed. They only open-source when they are challengers needing to build an ecosystem, not when they are incumbents with a clear distribution and technology advantage.

Escalating restrictions from both the U.S. (export controls) and China (market access rules) are splitting the global AI market. This bifurcation will create distinct technology stacks, from hardware to models and data standards, forcing other nations and companies to align with one of the two competing systems.

The flood of VC money in AI isn't just funding winners; it's creating highly-valued competitors that are too expensive for incumbents to acquire. This is preventing the natural market consolidation seen in past tech cycles, leading to a prolonged period of intense competition.

A US-style "Project Glasswing" for AI safety is unlikely in China because its major tech firms (Alibaba, Tencent, ByteDance) are fierce rivals. Unlike in the US, where a lab could partner with a company like Microsoft, Chinese conglomerates would refuse to hand over proprietary model technology to direct competitors, whom they actively poach from and have long-standing rivalries with.