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DeepSeek’s move to restrict access to V4 from major U.S. Chipmakers and favor Chinese suppliers could deepen tech industry divisions, raising concerns about global competition and innovation collaboration.
DeepSeek, the Chinese artificial intelligence (AI) lab known for its low-cost models that disrupted global markets last year, has withheld access to its upcoming flagship model, V4, from leading U.S. chipmakers such as Nvidia and AMD, according to two sources familiar with the matter. Instead, the lab granted early access to domestic suppliers, including Huawei Technologies, breaking from standard industry practice.
The decision by DeepSeek to exclude U.S. chipmakers from optimizing its latest AI model is significant for several reasons:
Competitive Disadvantage: By not sharing pre-release versions of V4 with Nvidia and AMD, DeepSeek may be placing these companies at a competitive disadvantage. Typically, AI developers collaborate closely with leading hardware providers to ensure their models run efficiently on widely used processors.
Strategic Shift: This move could signal a broader strategic shift in China's approach to the global tech landscape, particularly as tensions between the U.S. and China continue to rise over technology and trade policies.
Market Implications: The exclusion of U.S. chipmakers from early access to V4 may affect their market positioning, especially if Chinese suppliers like Huawei can optimize the model more effectively for their hardware.
U.S. Regulatory Response: The U.S. government has already imposed restrictions on technology exports to China. DeepSeek's decision could prompt further regulatory actions or sanctions against the company or its partners.
Market Reaction: Investors and market analysts may react negatively to news of U.S. chipmakers being left out, potentially affecting stock prices and investor confidence in these companies.
Collaboration Challenges: The move could strain existing partnerships between Chinese AI labs and U.S. tech firms, making future collaborations more difficult and complex.

Domestic Innovation: By granting early access to domestic suppliers, DeepSeek is fostering a more robust ecosystem of local technology providers. This could lead to significant advancements in China's AI and semiconductor industries.
Competitive Edge: Chinese chipmakers like Huawei may gain a competitive edge by optimizing the latest AI models for their hardware, potentially capturing a larger share of the market.
Strategic Autonomy: This move aligns with China's broader strategy to reduce dependency on foreign technology, enhancing its strategic autonomy in critical sectors such as AI and semiconductors.
DeepSeek has previously collaborated closely with Nvidia, leveraging the company's technical expertise to refine its AI models. However, for V4, which was expected to be released around the Lunar New Year holiday, DeepSeek chose a different path. The lab provided Chinese chipmakers, including Huawei, with several weeks of head start to optimize the software for their processors.
Nvidia and AMD declined to comment on the matter, while DeepSeek and Huawei did not respond to requests for comment.
AI developers typically share pre-release versions of major models with leading chipmakers such as Nvidia (NVDA.O) and Advanced Micro Devices (AMD.O) to ensure optimal performance on widely used hardware. This collaboration is crucial for maintaining the efficiency and reliability of AI systems, which are increasingly vital across various industries.
DeepSeek's decision to withhold its upcoming AI model V4 from U.S. chipmakers and favor domestic suppliers underscores a significant shift in China's tech strategy. While this move may create short-term risks for U.S. companies, it also presents opportunities for Chinese firms to gain a competitive edge and enhance their technological capabilities.
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Marcus began tracking AI's market implications in 2016, noticing AI-related patent filings accelerating ahead of earnings upgrades before most of the sell-side had caught on. A former fixed-income quantitative analyst, he spent two decades building models that priced risk across emerging markets before pivoting to cover the economic impact of AI full-time. His writing translates opaque technical developments into clear risk/reward terms — and he's rarely diplomatic about the gap between AI valuations and underlying fundamentals. He believes most market participants still underestimate AI's long-run deflationary effect on knowledge work.
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26 February 2026
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