Why China’s AI Ecosystem Looks Nothing Like Silicon Valley
I recently spent 10 days traveling through Beijing, Shenzhen, Hangzhou, and Shanghai to understand the state of China's AI ecosystem. I spoke to the cofounders of Deepseek, the team behind Qwen (Alibaba Cloud), partners at Hongshan (prev. Sequoia China), the founder of Sinosoft, 50+ AI x Robotics startups at all stages, and attended the Miracleplus (prev. YC China) F25 Demo Day. Here are a few things I learned.
China’s B2B ecosystem is split into two markets: a small, competitive free market and a dominant, connection-driven state sector. While private startups operate like US firms (buying software to fix inefficiencies), the market is overwhelmingly controlled by State-Owned Enterprises (SOEs) that buy based on social connections. Because these giant SOEs demand heavy customization and prioritize stability over optimization, cloud and enterprise AI adoption remains surprisingly low. This condition creates a 10% ceiling that prevents even market leaders from achieving the 40–50% dominance seen in the US. To survive, Chinese tech companies are forced to abandon pure SaaS models and verticalize. Large software companies eventually all converge to building the entire stack and become project-based consultancies that sell low-margin consulting hours rather than high-margin software licenses. With SMBs too volatile and unwilling to pay, the result is a significantly underdeveloped B2B market.
I think the prevailing Western narrative that Chinese AI is simply "six months behind" is an oversimplification. China’s top foundational labs have achieved near-parity with US frontier models. However, there are virtually no independent winners in critical infrastructure. Unlike the US, where categories like data labeling, evaluation, and neo-clouds have birthed multi-billion-dollar giants (e.g., Scale AI, CoreWeave), China’s ecosystem has evolved through vertical integration, leaving these industries virtually empty.
Seed funding in China has shifted away from private capital toward a model where City/District Guidance Funds (e.g. Shenzhen Innovation Fund) are the dominant players. Unlike US VCs chasing 100x financial returns, these funds are motivated by boosting local GDP and tax revenue; as a result, this capital comes with strict golden handcuffs. To receive funding, startups are obligated to register, pay taxes, and physically operate within that district, effectively turning venture capital into a tool for regional urban planning rather than free-market allocation.