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DeepSeek Nears $45bn Round as State Fund Leads

The China Integrated Circuit Industry Investment Fund, a state-backed entity known as the "Big Fund," is in talks to lead Chinese AI startup DeepSeek's first external funding round at an approximate $45 billion valuation, according to the Financial Times. The potential investment marks a shift from earlier discussions in mid-April that envisioned a $300 million raise at a $10 billion valuation with interest from Alibaba and Tencent. The deal would extend the Big Fund's historical semiconductor-focused mandate, which has deployed over $50 billion across China's chip sector, into direct investment in frontier AI model development.

read3 min publishedMay 29, 2026

Financial Times reports that the China Integrated Circuit Industry Investment Fund, the state-backed "Big Fund," is in talks to lead Chinese AI startup DeepSeek's first external funding round at an approximate $45bn valuation, according to coverage cited by The Next Web and the FT. The Next Web, citing the FT, says the raise was first discussed in mid-April as a $300m round at a $10bn valuation with Alibaba and Tencent as potential investors. DeepSeek was founded in July 2023 by Liang Wenfeng and had been financed from the balance sheet of High-Flyer Capital Management until April 2026, The Next Web reports. Reporting frames the potential lead investment as a notable extension of the Big Fund's historical semiconductor-focused mandate, which The Next Web says has deployed more than $50bn across China's chip sector.

What happened

Financial Times reporting, cited in The Next Web, says the China Integrated Circuit Industry Investment Fund, known as the state "Big Fund," is in talks to lead DeepSeek's first external funding round at an approximate $45bn valuation. The Next Web, referring to the FT scoop, reports that the deal contrasts with earlier mid-April discussions that envisaged a $300m raise at a $10bn valuation with interest from Alibaba and Tencent. The Next Web also reports that DeepSeek was founded in July 2023 by Liang Wenfeng and was funded from the balance sheet of High-Flyer Capital Management until April 2026.

Editorial analysis - technical context

State-backed investment in AI-facing model labs represents a shift in capital flows away from a sole focus on silicon. Industry-pattern observations note that direct funding of model labs can be an alternative route where access to leading-edge GPUs is constrained; public coverage frames the Big Fund move as an extension of its earlier semiconductor policy. For practitioners, that pattern can accelerate resource allocation to software, data, and systems engineering that reduce dependence on the most advanced GPUs.

Industry context

Reporting places this transaction within Beijing's multi-year push for semiconductor self-sufficiency, which The Next Web says has involved successive phases of the Big Fund deploying more than $50bn into chip design, fabrication, packaging, and tooling. The Next Web frames a direct lead investment in a frontier-AI lab as a larger extension of the fund's mandate than past investments. Industry observers have debated whether constrained hardware access encourages heavier domestic investment in model capabilities; the reporting situates DeepSeek's round inside that debate.

What to watch

For practitioners: monitor three indicators that industry reporting signals as consequential:

  • •whether the round closes at or near the $45bn figure reported by the FT and The Next Web, as that would recalibrate private-market comps in China's AI sector; - •disclosure of investor composition beyond the Big Fund, which would show whether big domestic tech groups like Alibaba orTencent participate; and - •public technical disclosures from DeepSeek, such as model papers or benchmarks, which would clarify whether capital flows are matched by frontier model development.

Scoring Rationale #

A reported state-backed lead at an approximate $45bn valuation is a notable funding event that could recalibrate valuations and capital flows in China's AI sector. It is relevant to practitioners tracking where compute and funding are being allocated, though it is not a technical model release.

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