Currently, private AI valuations are based on speculation and private market sentiment. Once companies like Anthropic go public, their trading multiples will provide a concrete valuation framework for the first time, bringing clarity and potentially a major reset to the frothy private AI investment landscape.

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.

Chinese AI leaders like Moonshot have lower valuations than US peers because they are often open-source. Unlike closed-source models (ChatGPT, Claude) that capture 100% of the value, open-source projects hope to capture just 10-20% through hosted services, leading to a "missing zero" in their funding rounds.

Market reactions to new AI models diverge sharply between the US and China. In the US, releases from giants like Anthropic or Gemini cause widespread software sell-offs due to disruption fears. In China, new models lift related sectors, as the market sees them as enablers for a less mature software industry with less to lose.

Private markets value AI firms on stratospheric growth potential, while public markets demand predictable revenue. This divergence, highlighted by Anthropic's leaked financials, creates significant friction and uncertainty for companies planning to go public, potentially delaying or devaluing IPOs.

A valuation disconnect exists in the AI venture market. Companies raising a Series A on $2-5M revenue can command $300-500M valuations. In contrast, growth-stage companies with ~$100M in revenue raise at $1-1.5B, a much lower multiple. This makes later stages appear more attractive on a risk-adjusted basis.

Despite intense competition, Chinese AI leaders like DeepSeek secure significantly smaller funding rounds (e.g., $7.4 billion) compared to US giants like OpenAI. This reflects structural differences in capital market depth and scale between Silicon Valley and Mainland China, not necessarily a lack of ambition or technological progress.

The exceptionally low cost of developing and operating AI models in China is forcing a reckoning in the US tech sector. American investors and companies are now questioning the high valuations and expensive operating costs of their domestic AI, creating fear that the US AI boom is a bubble inflated by high costs rather than superior technology.

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.