DeepSeek targets $20bn valuation to stop poaching of staff

```json { "title": "DeepSeek Targets $20B Valuation to Halt Staff Poaching", "metaDescription": "DeepSeek is raising outside capital for the first time, targeting a $20B+ valuation as Tencent and Alibaba weigh investment to help stem researcher departures.", "content": "<h2>DeepSeek Seeks $20 Billion Valuation in First-Ever External Funding Round</h2><p>Chinese AI startup DeepSeek is raising outside capital for the first time, targeting a valuation above $20 billion as it moves to stem a wave of researcher departures to well-funded rivals. According to reporting by The Information on April 22, 2026, tech giants Tencent and Alibaba are in talks to invest in the company, citing four people with knowledge of the conversations. The development marks a significant strategic pivot for a lab that has, since its founding in July 2023, been funded exclusively by its parent company, quantitative hedge fund High-Flyer Capital Management.</p><p>The fundraising effort is not primarily driven by a shortage of cash — High-Flyer remains solvent and has been DeepSeek's sole backer since inception. Instead, according to the South China Morning Post, the round is designed to establish a market benchmark for DeepSeek's valuation, giving employees greater clarity on the worth of their stock options. Without an externally verified price, those options have been difficult to defend against aggressive competing offers from rivals including ByteDance, Tencent, and Xiaomi.</p><h2>Valuation Doubles in Five Days as Investor Demand Surges</h2><p>The speed at which DeepSeek's fundraising ambitions have escalated underscores the intensity of investor appetite for Chinese AI assets. On April 18, 2026, The Information first reported that DeepSeek had begun talks to raise at least $300 million at a valuation of at least $10 billion. Within just five days, that target had reportedly doubled to above $20 billion, driven by strong domestic investor demand.</p><p>Large state-backed funds, including AI-focused affiliates of China's so-called 'Big Fund III,' are expected to participate in the round, according to one investor cited by the South China Morning Post. That same source noted DeepSeek's valuation could ultimately exceed $100 billion. The company itself has not publicly confirmed the fundraising discussions and did not respond to requests for comment.</p><p>For context, Chinese AI competitors MiniMax and Zhipu both went public in Hong Kong in January 2026 at valuations below $10 billion, but have since climbed to $30 billion-plus and $50 billion-plus respectively, according to The Information via PYMNTS. Moonshot AI, the startup behind the Kimi large language model series, is separately seeking a valuation of $18 billion in its own new funding round.</p><h2>Talent Poaching Fuels the Fundraising Push</h2><p>The immediate catalyst for DeepSeek's fundraising effort is an accelerating talent war with Chinese Big Tech. Several named co-authors of DeepSeek's flagship models have departed in recent months. Luo Fuli, a co-developer of the V3 model, left for Xiaomi. Guo Daya, the lead author of the GRPO algorithm used in the R1 reasoning model, departed to join ByteDance's Seed AI research team. Wang Bingxuan, a key author of DeepSeek LLM, was recruited by Tencent during the same period.</p><p>Guo Daya completed his PhD in computer science through a joint programme between Sun Yat-sen University and Microsoft Research Asia and was a core researcher on the R1 model. Li Liang, a vice-president at ByteDance's Douyin Group, denied reports of a reported 100 million yuan annual salary for Guo Daya in a social media post, though ByteDance confirmed Guo had joined the company.</p><p>The competitive pressure extends well beyond DeepSeek. According to aggregated data from Maimai, a professional networking platform in China, ByteDance's own AI division saw nearly 70 members of its Seed team depart over the past year. More than 30 AI companies founded by ex-ByteDance staff have since secured funding, spanning agents, multimodal creation, embodied AI, and hardware systems.</p><p>According to Delphi Intelligence, citing LatePost, headhunters described offers for top DeepSeek talent at two to three times their previous salary, with immediately priced stock options attached — a direct contrast to DeepSeek's situation, where options lacked any external market reference point.</p><p>The structural problem is captured clearly in investor commentary. As one unnamed investor who has backed large language model companies told Yicai: <em>"The peculiarity of DeepSeek is that, due to its long-term rejection of external capital, the value of employee stock options relies entirely on internal valuation."</em></p><h2>Why DeepSeek's Capital-Light Model Is Under Strain</h2><p>DeepSeek built its global reputation on a strikingly efficient approach to AI development. Its R1 reasoning model, released in January 2025, reportedly matched the performance of OpenAI's top systems at a fraction of the cost — a development widely described at the time as a 'Sputnik moment' for the US AI industry. DeepSeek trained its R1 model using 2,048 Nvidia H800 GPUs at a reported cost of $5.6 million. Its V3 model was trained for approximately $6 million — compared to the $100 million cost associated with OpenAI's GPT-4 in 2023 — and used approximately one-tenth the computing power consumed by Meta's Llama 3.1.</p><p>Despite that efficiency record, the economics of next-generation AI development are becoming harder to avoid. DeepSeek is now developing its V4 model, which has been pushed back several times in part because engineers are working to make it compatible with Huawei's Ascend AI chips — in line with Beijing's broader push to reduce reliance on US silicon following export controls on advanced Nvidia GPUs. The company is also planning to build a large physical data center in Ulanqab, Inner Mongolia, to meet growing computing infrastructure demands.</p><p>Those infrastructure costs, combined with the talent retention challenge, make an external funding round increasingly difficult to defer. According to multiple investment industry analysts cited by BigGo Finance and Yicai, the fundraising aims primarily to introduce market-based pricing for employee stock options to cope with talent competition, and secondarily to address growing compute infrastructure costs.</p><p>Liang Wenfeng, DeepSeek's founder and CEO, had previously framed the company's independence from outside capital as a philosophical position rather than a financial constraint. In a July 2024 interview republished by the China Academy, he said: <em>"What we lack isn't capital but confidence and the ability to organize high-caliber talent for effective innovation."</em> That framing now appears to be evolving in practice, even if the underlying philosophy has not been publicly revised.</p><h2>The Broader AI Funding Landscape</h2><p>DeepSeek's fundraising comes during a period of extraordinary capital deployment across the global AI sector. According to Dealroom data cited by bitcoinethereumnews.com, AI companies globally had already raised $280.5 billion in 2026 as of the time of reporting, with more than $170 billion of that total flowing to OpenAI, Anthropic, and xAI alone.</p><p>Against that backdrop, DeepSeek's targeted raise of at least $300 million is modest in absolute terms — but the valuation it commands is not. A figure above $20 billion, potentially climbing toward $100 billion according to one South China Morning Post source, would place DeepSeek among the most valuable private AI companies in the world, rivalling or exceeding some of its Western counterparts on a valuation-to-funding-raised basis.</p><p>High-Flyer Capital Management, which co-founded DeepSeek and remains its principal investor, was itself co-founded in February 2016 by Liang Wenfeng and classmates from Zhejiang University. The fund's portfolio surpassed 100 billion yuan — approximately $14 billion — in assets under management by the end of 2021, giving it the financial depth to have sustained DeepSeek through its formative years without requiring external backers.</p><p>The Information described the fundraising context plainly in its reporting: <em>"DeepSeek is in talks to raise outside capital for the first time, seeking to beef up its financial war chest so it can better compete in the costly battle to develop leading AI models."</em></p><h2>What Comes Next</h2><p>DeepSeek has not confirmed the fundraising discussions publicly, and the terms of any deal — including the final valuation, investor composition, and use of proceeds — remain unresolved. Whether Tencent and Alibaba ultimately participate, and at what price, will likely depend on broader negotiations that are ongoing as of this writing.</p><p>The development of the V4 model remains a key near-term milestone. Its delayed timeline, driven in part by the Huawei Ascend chip compatibility work, means that retaining the engineering talent capable of completing it is not merely a human resources issue but a strategic one. The fundraising round, if completed, is intended to directly address that problem by giving employees a credible, externally validated number to attach to their equity stakes.</p><p>Whether a market-priced stock option package will be sufficient to compete with the two-to-three times salary multiples reportedly being offered by ByteDance, Tencent, and Xiaomi remains an open question. What is clear is that DeepSeek's long-standing approach of operating entirely outside the conventional VC and institutional investment ecosystem is, at minimum, being reassessed.</p><p>For more tech news, visit our <a href=\"/news\">news section</a>.</p><h2>The Productivity Angle: Why AI Talent Wars Matter to You</h2><p>The competition to retain the world's top AI researchers is not just a story about corporate strategy — it shapes which tools reach your hands, how capable they are, and how quickly they improve. DeepSeek's models have been notable precisely for delivering high-end AI capability at low cost, making them accessible to individuals and smaller teams who cannot afford the premium tiers of Western competitors. If talent attrition slows the development of next-generation models, the downstream effects on productivity tools, health applications, and personal AI assistants could be felt broadly. Staying informed on how these dynamics evolve is part of staying ahead in a world increasingly shaped by AI. <a href=\"/#waitlist\">Join the Moccet waitlist to stay ahead of the curve.</a></p>", "excerpt": "DeepSeek is raising outside capital for the first time, targeting a valuation above $20 billion as Tencent and Alibaba reportedly enter investment talks. The move is designed primarily to establish a market benchmark for employee stock options after several key researchers departed to ByteDance, Tencent, and Xiaomi. The valuation target doubled from $10 billion to over $20 billion in just five days following strong domestic investor demand.", "keywords": ["DeepSeek valuation", "DeepSeek funding round", "Chinese AI startup", "AI talent war", "Tencent Alibaba DeepSeek investment"], "slug": "deepseek-targets-20-billion-valuation-staff-poaching" } ```