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DeepSeek Tells Investors to Stop Poaching Its Talent

by Chief Editor June 18, 2026
written by Chief Editor

Chinese artificial intelligence startup DeepSeek has mandated that investors in its latest $7.4 billion funding round refrain from poaching its staff, according to a report from a 36Kr-owned outlet. The Hangzhou-based company, now valued at over $50 billion, implemented this non-solicitation clause to stabilize its workforce as competition for top-tier AI engineering talent intensifies among Chinese tech giants like Tencent, Alibaba, and ByteDance.

Why is talent poaching defining the Chinese AI race?

The race toward Artificial General Intelligence (AGI) has transformed from a software development challenge into a high-stakes battle for human capital. According to 36Kr, DeepSeek founder Liang Wenfeng explicitly prohibited investors from hiring away his researchers during a May meeting. This move follows the departure of key staff, including Luo Fuli, a core contributor to DeepSeek’s V3 model who left to lead Xiaomi’s MiMo team. In the view of industry observers, these personnel shifts directly impact model performance, as evidenced by Xiaomi’s recent models outperforming DeepSeek on several benchmarks, as tracked by OpenRouter.

Why is talent poaching defining the Chinese AI race?
Did you know?
Tencent hired Yao Shunyu, a former OpenAI researcher, to serve as its chief AI scientist. This move signals a broader trend of Chinese firms aggressively recruiting talent with experience at frontrunning U.S. labs to accelerate their AGI development.

How are tech giants restructuring to secure AI leadership?

Major Chinese firms are actively reshuffling their internal structures to prioritize AI development, often leading to high-profile executive departures. Bloomberg reported in June that Alibaba replaced the head of its Dingtalk unit following internal disagreements regarding the company’s broader AI strategy. Similarly, The Information reported on Monday that Tencent invested $20 million into a new AI lab led by Juyang Lin, the former lead researcher for Alibaba’s Qwen models. These organizational pivots highlight the volatility within the sector as companies attempt to align their commercial products with the rapid pace of AI research.

What are the consequences of hyper-competition for engineers?

The aggressive pursuit of talent is forcing startups to adopt defensive financial strategies. DeepSeek’s decision to avoid external funding for years was driven by a desire to focus on research, but the loss of key developers necessitated the $7.4 billion capital injection. This creates a cycle where companies must raise record amounts of capital—not just for computing power, but as a protective barrier to retain the engineers who build the models. The competition has become so intense that ByteDance lost two key developers to Tencent earlier this year, according to 36Kr, illustrating that even the largest firms are vulnerable to talent attrition.

OpenAI calls for U.S. DeepSeek ban

Pro Tip: Tracking AI Talent Movements

To gauge which companies are winning the AI race, look beyond press releases. Monitor the leadership teams of new labs and the contributors listed on open-source model repositories like GitHub or Hugging Face. The movement of “core contributors” is often the leading indicator of a model’s future performance.

Pro Tip: Tracking AI Talent Movements

Frequently Asked Questions

Why is DeepSeek considered China’s most valuable AI startup?
Following its latest funding round, DeepSeek reached a valuation exceeding $50 billion, making it the most valuable AI-only company in China, according to reports from The Information.
What is the goal of the “no-poaching” clause?
The clause prevents investors from hiring DeepSeek’s research staff or encouraging them to launch competing ventures, protecting the startup’s intellectual property and research continuity.
Is this talent war unique to China?
While the specific non-solicitation clauses are notable, the competition for AI engineers is global. U.S. firms like OpenAI, Google, and Meta have engaged in similar high-stakes bidding wars for researchers since the widespread adoption of large language models.

Stay informed on the shifting landscape of global technology. Subscribe to our newsletter for weekly updates on AI funding, talent shifts, and industry benchmarks.

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