DeepSeek, a fast-rising Chinese AI startup whose large language models have drawn international attention, is quietly preparing for a major leap onto public markets — and for a fresh funding round that could push its valuation toward $71 billion, the Financial Times reports.
Key developments
- New funding talks: DeepSeek has opened early-stage discussions with prospective investors about a capital raise that the FT says could value the company at roughly $71 billion.
- IPO groundwork: The startup is laying the paperwork for an initial public offering, with a domestic Chinese listing currently seen as the preferred route and a filing possible as early as this year.
- Recent financing context: Only weeks ago DeepSeek closed its first external financing round. That transaction was reported to value the company at $7 billion pre-money and about $52 billion post-money — and the fresh talks suggest investors may be willing to price it significantly higher as competition heats up.
Why it matters
- Rivalry with OpenAI and Anthropic: DeepSeek is increasingly compared to U.S. heavyweights such as OpenAI and Anthropic as the race to build foundation models and commercialize AI accelerates worldwide.
- Investor appetite remains strong: The market’s hunger for AI-linked names has stayed resilient despite valuation concerns — a trend illustrated by recent high-profile public market moves (SpaceX’s Nasdaq debut in June) and heavy buying from investors such as Cathie Wood’s ARK Invest, which added tens of millions more to its SpaceX exposure and had roughly $444.3 million across four ETFs when SpaceX listed.
- Strategic tech moves: Beyond fundraising, DeepSeek is expanding into agentic AI — systems that can carry out more autonomous, multi-step tasks — and is reportedly developing its own AI chips to reduce reliance on third-party hardware, control costs and secure compute capacity as demand for larger models grows.
Implications for the AI ecosystem
If DeepSeek follows through with a $71 billion valuation and a domestic IPO, it would join a growing roster of AI companies pursuing public listings while investing heavily in proprietary infrastructure and product expansion. The company’s dual push — scaling sophisticated models and building custom chips — positions it to compete more directly with the world’s largest AI developers, intensifying the global race for foundation models and commercial AI agents.
(Reporting based on Financial Times coverage; additional context from crypto.news reporting on recent AI market activity.)
Read more AI-generated news on: undefined/news
