DeepSeek, the Chinese AI startup that upended the global market with its highly efficient open-source models, is nearing the completion of a massive funding round that will value the company at approximately $45 billion. However, the most significant news emerging from the negotiations is not the valuation, but the explicit strategic direction articulated by the company’s founder and leader.
According to sources familiar with the matter cited by Bloomberg and Business Times, DeepSeek founder Liang Wenfeng has told potential investors in the ongoing 70 billion yuan ($13.2 billion) funding round that the startup will prioritize groundbreaking AI research over short-term commercialization. In at least one meeting with investors, Liang pledged to continue developing open-source AI models while pursuing the broader goal of achieving artificial general intelligence (AGI). The hedge fund manager and AI pioneer made it clear that pushing the boundaries of the technology is the primary objective, rather than immediate monetization.
A Research-First Philosophy in a Profit-Hungry World
Liang’s research-first philosophy stands in stark contrast to the current trajectory of many global peers. As the costs of computing infrastructure have soared into the hundreds of billions of dollars, pressure is mounting on AI firms — including those in China — to begin delivering on the bottom line. Companies like OpenAI and Anthropic are actively exploring public listings and multiple avenues for revenue generation. DeepSeek’s commitment to open-source development and AGI research, backed by massive capital, suggests a fundamentally different model: one in which scientific progress, not quarterly earnings, is the primary measure of success.
The ongoing funding round has drawn strong interest from a plethora of investors, underscoring the strategic importance of DeepSeek’s work. Likely participants include the National Artificial Intelligence Industry Investment Fund, a state-backed vehicle set up by Beijing to propel strategic AI projects, which is reportedly in talks to invest about 10 billion yuan. Other prominent investors close to securing participation include Tencent Holdings, IDG Capital, and Monolith Capital. Liang himself could personally inject about 20 billion yuan into the round.
From $300 Million to $45 Billion in Thirteen Months
The scale of the current fundraise is remarkable when viewed against DeepSeek’s funding history. EastFrontier reported in April that DeepSeek was seeking $300 million at a $10 billion valuation in its first-ever external funding round. The current round, at $13.2 billion and a $45 billion pre-money valuation, represents a 4.5x increase in valuation in just over a month. This extraordinary compression of the funding timeline reflects both the rapid advancement of DeepSeek’s technical capabilities and the intensifying global competition for access to frontier AI assets.
The involvement of the state-backed AI fund underscores Beijing’s importance to DeepSeek as arguably the country’s highest-profile challenger to OpenAI. If finalized, the fundraising may set a record for a first-time financing by a Chinese tech startup. The massive influx of capital will provide DeepSeek with the resources necessary to continue its pursuit of AGI, ensuring that China remains a formidable contender in the race to develop the next generation of artificial intelligence, on its own terms, and on its own timeline.
DeepSeek’s commitment to open-source development, even as it pursues AGI, has significant implications for the global AI landscape. By releasing its models publicly, DeepSeek has enabled thousands of developers worldwide to build on its work, accelerating the diffusion of Chinese AI capabilities far beyond China’s borders. This strategy has drawn concern from U.S. policymakers, as EastFrontier reported in April, the State Department issued a global diplomatic cable warning allies about Chinese AI distillation campaigns involving DeepSeek. Yet the open-source approach also reflects a genuine philosophical commitment: Liang Wenfeng has consistently argued that open-source development is the fastest path to AGI, because it harnesses the collective intelligence of the global research community rather than relying solely on a single company’s internal resources. Whether DeepSeek can translate its efficiency breakthroughs and massive new funding into a credible path to AGI, a goal that has eluded every AI lab in the world, remains to be seen. But the combination of Liang’s research-first philosophy, a $45 billion valuation, and the backing of China’s state AI fund suggests that DeepSeek is now playing a very different game from the one it started with its first open-source model release in early 2025.