China’s artificial intelligence industry is charting a distinctly different course from its American counterpart, prioritizing the rapid deployment of everyday applications over the pursuit of absolute frontier model capabilities. However, this pragmatic approach has not insulated the sector from the speculative fervor that characterizes the global AI boom, leading some of the country’s most prominent investors to warn that Chinese AI firms are currently overvalued.
These contrasting dynamics were the focal point of discussions at the 2026 HKEX Future Tech Summit in Shenzhen on June 11, where industry leaders and investors gathered to assess the state of China’s AI ecosystem against the backdrop of record-breaking US tech listings and a cooling global market.
The 100-Day Gap
The consensus among Chinese executives is that the gap in foundational model capabilities between the US and China is real, but manageable. Zhang Chi, general manager of the finance industry at Alibaba Cloud Intelligence Group, estimated that Chinese labs are currently trailing US peers like OpenAI and Anthropic by “about 100 days” in frontier model development.
This framing, a gap measured in months rather than years, is significant. It suggests that China’s AI industry views the current disparity not as a structural disadvantage, but as a temporary lag that can be closed through continued investment and engineering effort. The rapid pace at which Chinese labs have iterated on their models, often releasing competitive versions within weeks of major US announcements, lends some credibility to this view.
However, Zhang argued that China’s true strength lies not in matching the US at the frontier, but in its ability to rapidly commercialize technology. “China’s biggest advantage is in AI applications,” he noted, pointing to the country’s vast consumer market and the aggressive integration of AI into existing digital platforms. Some US firms are reportedly already swapping to Chinese vendors like DeepSeek due to their significantly lower inference costs, suggesting that the application advantage is already translating into commercial gains.
The Device Ecosystem Advantage
This application-first strategy is driven by necessity as much as design. Facing US export controls on advanced semiconductors, Chinese developers have focused on creating highly efficient, lightweight models that can run on domestic hardware or directly on consumer devices. This constraint has inadvertently produced a competitive advantage: Chinese models are often more efficient and cost-effective than their US counterparts for practical deployment scenarios.
Li Dahai, CEO of ModelBest, an AI startup incubated at Tsinghua University, highlighted China’s “rich device ecosystem” as a key differentiator. With hundreds of millions of smartphones, smart home devices, and industrial machines running on Chinese hardware, there is a vast platform for deploying AI capabilities at the edge, closer to users and data, without the latency and cost of cloud inference.
Lixue Xia, co-founder and CEO of Shanghai-based Infinigence AI, highlighted China’s huge growth potential, driven by its massive energy infrastructure buildout and a thriving open-source ecosystem. The open-source movement, led by models like DeepSeek and Alibaba’s Qwen, has democratized access to powerful AI capabilities and created a broad base of developers building applications on Chinese foundations.
The Valuation Warning
Despite these structural advantages, the financial reality of the Chinese AI sector is causing concern among sophisticated investors. Ti Tong, a partner at Matrix Partners China (MPC), delivered a stark warning about the current state of the market.
“AI in the future must serve everyone. It cannot be something that only grows and runs inside massive data centres while charging exorbitant fees — that would only serve the wealthy,” Ti said, articulating a vision of AI as a broadly accessible utility rather than a premium service. However, he cautioned that China’s AI fundraising could be nearing the top of a bull market, describing current company valuations as “very expensive.” As a result, MPC is looking to invest in more early-stage ventures rather than participating in massive late-stage rounds where the risk-reward ratio has become unfavorable.
This sentiment was echoed by Lou Xinyu, deputy head of TMT at CICC investment banking. While Lou stopped short of calling the current market the ultimate peak, he acknowledged that AI stocks are “at a high point never seen before.” The warning comes as Chinese tech stocks broadly enter bear market territory, suggesting the speculative premium attached to AI companies may be beginning to deflate.
The Long-Term Vision
Despite the concerns over near-term valuations, the long-term optimism regarding China’s role in the global AI landscape remains intact among the executives gathered in Shenzhen. The focus on practical, scalable applications is viewed not just as a commercial strategy, but as a philosophical divergence from the US approach that may ultimately prove more durable.
“Which country will see the birth of a true AGI that passes the Turing test one day? I think it’s hard to say,” Lou Xinyu remarked. “But when it comes to an AI that could benefit all of humanity, and is scalable enough to bring convenience to everyone’s daily life – I firmly believe that it will emerge in China.”
As the global AI race matures, the contrast between the US focus on massive, capital-intensive frontier models and China’s emphasis on efficient, ubiquitous applications is becoming the defining dynamic of the industry. Whether China’s application advantage can justify the current valuations of its AI startups will be the critical test for investors in the coming year.