DeepSeek reportedly raises $15B days after US restrictions

AI model developers can now access comparable funding to U.S. counterparts, lowering the barrier to entry for international competitors.

Two days after U.S. authorities ordered federal agencies to remove its AI technology due to security concerns, Chinese AI firm DeepSeek has reportedly secured approximately $15 billion, or 100 billion yuan. This substantial funding round, reported by Bloomberg, potentially includes investments from major Chinese companies such as battery maker CATL and Tencent. This follows a significant $7 billion funding round in June, which valued the company at $50 billion, and a subsequent reported attempt to raise an additional $1.5 billion at a $71 billion valuation in July. DeepSeek, founded in 2023 by Liang Wenfeng, is known for its open-weight reasoning model and is accelerating its investment in AI infrastructure and open models for both domestic and international markets, despite U.S. restrictions. The company, based in Hangzhou, is reportedly planning a potential IPO in China as early as next year. This reported funding underscores the intense global investment in AI companies, including those in China, amidst a competitive landscape.

The reported $15 billion funding round for DeepSeek, occurring so soon after U.S. security-related restrictions, signals a strong resilience and continued investor confidence in Chinese AI development. It suggests that international sanctions or security concerns may not significantly impede the growth trajectory of major Chinese AI players, especially with substantial domestic backing from entities like CATL and Tencent. This could accelerate the development of competing AI ecosystems, potentially bifurcating the global AI landscape further.

This level of investment into DeepSeek, and the broader trend of significant funding for Chinese AI firms like Moonshot AI and Manus AI, indicates an aggressive push to close the AI gap with Western counterparts. Companies that were previously constrained by limited access to advanced hardware or international markets may now leverage this capital to build out their own infrastructure and refine their models. The focus on open models also suggests a strategy to foster a broader ecosystem, potentially challenging the proprietary models dominant in the U.S. market.