Chinese AI Companies Race to Raise Capital, Scrambling to Close Gap with the U.S.
Alina Collins
At least six Chinese AI-model startups plan to list by 2027, joining a wave of chip and robotics IPOs that has already raised over $10 billion in Hong Kong alone — yet even combined, the sums trail OpenAI's single $100-billion-plus funding commitment.
Why are so many Chinese AI firms raising money at once?
Two pressures are converging: AI model training demands massive upfront compute spending, and Washington is actively discussing tighter chip controls that could cut off access to Nvidia's top GPUs via overseas cloud providers.
This means → the fundraising is not just about R&D budgets — it is a race to stockpile compute before the regulatory window shuts.
Chinese AI companies can still access Nvidia's best chips through offshore cloud vendors, but that channel could close at any time.
Who is raising, and how much?
Moonshot AI is closing a private round valuing the company above $30 billion and plans a Hong Kong IPO as early as next year.
DeepSeek targets a private raise of several billion dollars at a valuation above $70 billion, with a Shanghai listing planned for next year. ByteDance is negotiating a $20 billion bond; Tencent has completed roughly $4.7 billion in bond issuance for AI R&D; Baidu plans to spin off its AI-chip unit for a separate listing.
Memory-chip maker CXMT has doubled its Shanghai IPO fundraising target to over $8 billion on strong investor demand, with a pre-IPO valuation of about $85 billion.
In plain terms = from foundation models to chips to humanoid robots, the entire AI supply chain is scrambling for capital in the same narrow window.
What signals is Beijing sending?
Regulators have loosened listing rules, allowing pre-profit AI startups to go public on Shanghai's STAR Market — this means → the old requirement to be profitable before listing has been removed, letting capital flow in earlier.
Xi Jinping said at a science conference this month that China "must open financing channels and guide capital toward early-stage startups, small firms, long-term investment, and core hard-tech sectors." State-owned financial institutions then pledged to hold long-term equity in listed AI companies.
In the first half of this year, AI supply-chain companies raised over $10 billion in Hong Kong, with more than 70 firms currently in the listing queue.
How wide is the gap with the U.S.?
OpenAI alone has secured over $100 billion in funding commitments this year — more than the combined total of China's entire batch of AI fundraisings.
This reflects a structural capital asymmetry in the U.S.-China AI race: American leaders tap global capital markets and earn global revenue, while Chinese AI firms have limited overseas earnings and face geopolitical ceilings on international expansion.
In plain terms = China's AI fundraising looks large in isolation, but on a global scoreboard it still amounts to fighting the same war with a fraction of the opponent's budget.
What should investors watch for?
Two checkpoints will determine whether the valuations hold: first, whether these companies lock in enough compute before new export controls land; second, whether they can deliver commercial scale after listing.
This means → if a new round of chip restrictions arrives before this cohort goes public, their compute-stockpiling plans could be disrupted and the valuation logic would weaken.
Allspring Global Investments portfolio manager Gary Tan noted that the "main driver" of the fundraising wave is the enormous capital needed for AI model development, compute infrastructure, and talent — the money is a means; compute is the prize.
Content is for reference only, not financial advice.