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    🇨🇳China·AI News·18 Aug 2026·via KrAsia

    Qiming’s Alex Zhou on staying half a step ahead of the AI market

    Alex Zhou, managing partner at Qiming Venture Partners, shares his insights on navigating China’s accelerating AI market, where embodied intelligence companies are raising billions and valuations are soaring. Despite the market’s exuberance and a record seven AI-related IPOs for Qiming in the past year, Zhou maintains a restrained outlook, emphasizing that long-term valuation depends on scalable revenue and real-world deployment. He advocates for Qiming’s “half a step ahead” investment strategy, focusing on identifying non-consensus sectors before broader market hype, and warns against the speculative frenzy he observes among some investors. Zhou also discusses the significant commercial potential of embodied intelligence, while cautioning that the sector faces a deep correction if it fails to achieve genuine commercial deployment at scale.

    Nexa's Summary

    Alex Zhou’s perspective offers a crucial counter-narrative to the prevailing hype in Asia’s AI and embodied intelligence sectors. His emphasis on fundamental financial metrics like price-to-sales and scalable revenue, rather than speculative premiums, underscores a disciplined approach vital for sustainable growth. This is particularly relevant in China, where rapid capital inflow and competitive pressures can distort valuations and lead to irrational market behavior, as seen in the internet and mobile internet waves. Zhou’s call for genuine commercial deployment at scale highlights a critical challenge for embodied intelligence companies, suggesting that a failure to translate technological breakthroughs into tangible market adoption could trigger a significant market correction. This focus on real-world impact over mere technological novelty is a mature signal for the region’s tech ecosystem.

    Furthermore, Qiming’s “half a step ahead” strategy, targeting non-consensus sectors, indicates a sophisticated understanding of market cycles and a commitment to long-term value creation. This approach encourages deeper research and the development of a “circle of competence,” contrasting sharply with FOMO-driven investments. Zhou’s observations on China’s advantages in data, industrial deployment, and hardware ecosystems for embodied intelligence, despite a slight US lead in models, paint a nuanced picture of the regional competitive landscape. His measured optimism regarding the AI bubble, tempered by historical lessons, provides a valuable framework for investors and founders navigating the current volatile yet opportunity-rich Asian tech market.

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