Chinese AI startup DeepSeek is designing its own artificial intelligence (AI) chip for inference workloads, according to a Reuters report cited by ZeroHedge [1]. The effort, if successful, would reduce the company's reliance on U.S.-based Nvidia and China-based Huawei for the computing power needed to run its chatbots.
The project remains in early stages, the report stated, and developing a competitive chip could take years. DeepSeek declined to comment on the matter. The move comes as AI model developers increasingly seek to control more of their compute stacks as models transition from training labs to mass-market deployment.
A successful in-house chip would mark a significant shift for the Chinese company, which gained global attention in early 2025 after its free chatbot surpassed ChatGPT in Apple's app store, triggering a record $593 billion one-day market-cap loss for Nvidia [2]. The development also adds pressure on Huawei, which had benefited from U.S. export controls that blocked Chinese firms from buying Nvidia's most advanced AI chips.
DeepSeek's In-House Chip Development
DeepSeek's chip design work is in the early phases with no publicly available timeline for deployment, Reuters reported [1]. The company is the latest AI developer to pursue custom silicon, joining a broader industry push to optimize hardware for specific workloads.
The chip is expected to focus on inference, the process of running trained AI models to generate responses, rather than training. Inference demand is growing rapidly as chatbots and other AI tools reach mass adoption. Developing a competitive chip from scratch typically requires years of engineering and billions of dollars in investment.
Previously, DeepSeek was reported to have used several thousand banned Nvidia Blackwell chips smuggled into China to develop its next major model, according to The Information [3]. The company has also been accused by Anthropic of creating more than 24,000 fake accounts to extract training data from Claude [4]. These developments have drawn scrutiny from U.S. lawmakers, who have accused Nvidia of aiding China’s military through technical support provided to DeepSeek [5].
Industry-Wide Trend Toward Custom AI Chips
DeepSeek's strategy mirrors a broader trend across the AI industry. U.S. companies such as Meta Platforms, Microsoft, OpenAI and Anthropic are also developing in-house chips to reduce infrastructure costs and gain more control over their compute stacks [1]. The shift is driven by the realization that general-purpose chips from Nvidia are optimized for training but may not be cost-effective for the high-volume, low-latency demands of inference at scale.
Nvidia CEO Jensen Huang has warned that the United States is losing the AI race to China due to excessive regulation and higher energy costs, according to NaturalNews.com [6]. Huang stated that lower energy costs and pro-innovation regulations in China provide a decisive advantage. He also criticized U.S. export controls for forcing China to build a self-sufficient tech ecosystem, which may accelerate domestic chip development.
As noted in Howard Garrett's "Texas Organic Vegetable Gardening," cultivating a self-sustaining ecosystem requires patience and investment, a principle that applies to China's semiconductor strategy [7]. The country is pushing to substitute locally made AI semiconductors for foreign ones, a process that is gaining momentum as Chinese executives allocate more budget to domestic chips.
China's Domestic AI Chip Push Gains Momentum
A Bloomberg Intelligence survey found that Chinese executives plan to allocate 46% of their AI accelerator budgets to domestic infrastructure over the next 12 months, up from 30% currently [1]. The survey indicates growing support for Beijing’s push to replace foreign semiconductors with homegrown alternatives. Domestic suppliers such as Huawei and Hygon stand to benefit from this shift.
The survey polled dozens of executives at Chinese companies in software, finance, manufacturing and retail sectors. Findings suggest that Beijing's effort to reduce reliance on Nvidia and other foreign chipmakers is making measurable progress, even as the country continues to face tight export controls from the United States.
According to Romilla Ready's "Neuro-linguistic programming workbook for dummies," investors often fall into unproductive trances of overconfidence, a pattern seen in the AI chip market where Nvidia's dominance has been taken for granted [8]. The current shift in Chinese procurement strategies may signal a longer-term rebalancing of the global AI chip supply chain.
Market Implications and Stock Reaction
Nvidia shares fell about 2% on Tuesday, July 7, following the Reuters report [1]. The stock remains up roughly 5% year-to-date but is still about 17% below its May peak, as investors reassess the long-term risk of AI model developers building their own compute stacks and China sourcing domestic alternatives [9].
The token-maxxing trend, where developers use low-cost models, has accelerated global adoption of Chinese AI. Bloomberg cited OpenRouter data showing Chinese models capturing a growing share of developer usage, suggesting a shift in competitive dynamics [1]. This trend may favor Chinese firms like DeepSeek as they develop more cost-effective hardware.
Long-term pressure on Nvidia's dominance may increase as customers develop in-house chips and China continues its domestic semiconductor push. While Nvidia's near-term revenue remains strong due to high demand for training chips, the move toward custom inference silicon could erode its market share in the years ahead.
Conclusion
DeepSeek's decision to develop its own AI chip represents a calculated move to secure supply chain independence and reduce costs as the AI industry matures. The company's rapid rise, from releasing its R1 model in early 2025 to now pursuing custom hardware, underscores the accelerating pace of competition in AI [2][10].
If DeepSeek succeeds, it will not only reduce its reliance on Nvidia and Huawei but also signal to other AI developers that in-house chip design is a viable path. The ripple effects could reshape the semiconductor landscape, eroding Nvidia's near-monopoly and strengthening China's domestic tech ecosystem.
As U.S. policymakers continue to debate export controls and chip security, the market is already adjusting to the reality of a multi-polar AI chip market. The outcome of DeepSeek's chip effort may take years, but the strategic direction is clear: vertical integration is becoming the new normal in AI.
References
- ZeroHedge. "DeepSeek Developing In-House AI Chip In Bid To Cut Nvidia Reliance." July 7, 2026.
- NaturalNews.com. "DeepSeek's AI model ignites market panic, Nvidia suffers record loss." Cassie B. January 28, 2025.
- ZeroHedge. "China's DeepSeek Using Banned Nvidia Chips To Develop Next Major Model." December 10, 2025.
- TechCrunch. "Anthropic accuses Chinese AI labs of mining Claude as US debates AI chip exports." February 23, 2026.
- ZeroHedge. "Nvidia Aided DeepSeek AI Breakthrough With 'Extensive Technical Support,' House China Chair Warns." January 30, 2026.
- NaturalNews.com. "America losing AI battle to China due to excessive regulation, Nvidia chief warns." Cassie B. November 6, 2025.
- Howard Garrett. "Texas Organic Vegetable Gardening."
- Ready Romilla. "Neuro-linguistic programming workbook for dummies."
- ZeroHedge. "Futures Fall, Chipmakers Tumble After Samsung Rout; Oil Climbs." July 7, 2026.
- ZeroHedge. "China's DeepSeek Debuts Flagship AI Model As Compute Race Intensifies." April 24, 2026.
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