China's STAR Market Opens to AI Model Companies: No Profit Required for IPO
On June 17, at the Lujiazui Forum, CSRC Chairman Wu Qing announced a move many underappreciated: the STAR Market's fifth listing standard now covers AI large model companies. The Shanghai Stock Exchange simultaneously published detailed review guidelines.
Translation: unprofitable AI model companies can now IPO on China's A-share market.
What Does the "Fifth Standard" Mean?
The fifth standard was originally designed for pharmaceutical R&D companies — allowing innovative drug makers with zero revenue and zero profit to go public, since drug development takes 10+ years. That logic is now applied to AI.
Key thresholds in the guidelines: cumulative R&D spending of at least ¥300 million over three years; expected market cap no less than ¥4 billion; core technical team stability; rigorous proof of technical moat. No profit requirement. No revenue floor. Burning cash on R&D? Fine, as long as you demonstrate real technological innovation, not PowerPoint fundraising.
This is significant. Before 2023, an AI company wanting to list domestically either had to backdoor-list or wait for profitability — both painful paths. Now there's a direct door.
Why Now?
The timing is telling. In H1 2026, China's AI sector hit a paradox: companies like DeepSeek, Zhipu, and Baichuan are globally competitive on technical benchmarks, but their funding channels remain narrow — either USD funds (geopolitically constrained) or local government-guided funds (limited scale).
Absent capital market access, Chinese AI company valuations have been dictated by OpenAI and Anthropic's fundraising headlines. Your technical metrics match GPT-5.5, but your valuation is a fraction of theirs. That's not a tech problem — it's a missing capital market pricing mechanism.
The STAR Market expansion is a signal: China's capital markets are starting to price AI companies independently.
Is the Market Ready?
The challenge is obvious. A market dominated by retail investors — can it handle "unprofitable + high R&D + long cycle" AI companies? Nasdaq took 30 years to build its tech stock pricing framework. Amazon lost money for nearly 20 years while its stock rose 1000x, because investors understood "losses fund growth."
A Chinese retail investor seeing "revenue: ¥0, R&D: ¥500M" might think "this company is broken" rather than "this is a technology moat being built."
This cognitive gap will take time. STAR Market's high institutional investor threshold (¥500K minimum) provides some buffer. But AI model companies tagged "high-tech + no profit" will see far more volatility than consumer stocks — a regulatory stress test lies ahead.
The SSE clearly anticipated this. The guidelines emphasize "rigorous proof of technical moat" — requiring third-party technical assessment reports, peer reviews, and more. This replaces retail judgment with institutional gatekeeping: let experts verify whether a company has real technology or just a story.
Signaling Matters More Than Fundraising
One easily overlooked detail: the first batch of eligible AI model companies likely numbers fewer than 10. DeepSeek, Zhipu, MiniMax, Moonshot AI, Baichuan, StepFun, 01.AI — you can count them on two hands.
So the near term won't bring an "IPO wave" but a curated set of "premium debuts." The real significance is establishing a pricing system. When the first AI model company lists on the A-share market, its stock trajectory, R&D multiple, and market feedback on R&D spending will become the valuation anchor for the entire sector.
This ripples outward — to VC exits, to entrepreneurial choices, even to what majors college students pick.
Capital markets beginning to price technological conviction — that's a change worth watching.
Originally published at Deskless Daily — an AI-powered tech information source. Read the full bilingual version (Chinese + English) on the blog.
