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Private AI companies in China, like DeepSeek, are justifying multi-billion dollar valuations by pointing to publicly traded peers. Companies like Minimax and Zipu, which IPO'd under $10B, now trade at $30-50B, setting a new, much higher valuation precedent for private funding rounds, even with limited revenue.
The venture market is bifurcated, with a small group of high-profile AI companies—a 'Private Mag 7'—commanding massive valuations based on narrative strength. This elite tier operates in a different reality from the rest of the startup market, which still functions under more normative conditions.
Tech giants like Alibaba and Tencent invest in AI startups like DeepSeek not just for financial returns, but for strategic benefits. The investment helps them acquire the startup as a cloud computing customer and secures access to its cutting-edge technology for their own massive user bases.
Public markets, fearing AI's disruption, value SaaS companies at low single-digit revenue multiples. Simultaneously, private VCs, driven by upside potential, fund early-stage AI startups at hundreds of times ARR, creating a massive valuation disconnect between the two markets.
In the current AI-driven tech M&A landscape, traditional valuation metrics are being upended. For high-potential companies, the exit multiple is sometimes calculated based on total capital raised (e.g., 10x) rather than annual recurring revenue (ARR), signaling a major shift in valuation.
Pre-product AI startups are commanding billion-dollar valuations because the barrier to entry has skyrocketed. To build a competitive new foundation model, a startup must be able to raise approximately $2 billion before even launching a product. This forces VCs to place massive, early bets on a very small number of elite, pedigreed founders.
An a16z partner highlights a major disconnect where fewer than five public software companies are growing over 30%, while private AI giants like OpenAI and Anthropic are adding massive revenue, shifting the growth focus to private ventures.
The startup landscape now operates under two different sets of rules. Non-AI companies face intense scrutiny on traditional business fundamentals like profitability. In contrast, AI companies exist in a parallel reality of 'irrational exuberance,' where compelling narratives justify sky-high valuations.
Contrary to common belief, the earliest AI startups often command higher relative valuations than established growth-stage AI companies, whose revenue multiples are becoming more rational and comparable to public market comps.
The intense investor interest following initial reports of DeepSeek's first external funding round allowed the company to immediately double its asking valuation from $10B+ to $20B+. This highlights the frenetic pace and high demand within China's AI investment landscape, driven by scarcity and hype.
Unlike the US market which favors billion-dollar revenues, the Hong Kong stock exchange allows smaller AI companies to IPO with just $60-80M in revenue. This offers public investors high-risk, high-reward access to fast-growing tech companies, similar to late-stage venture capital.