For Nvidia CEO Jensen Huang, China’s capacity in the artificial intelligence chip sector is unmistakable. He has said that U.S. policymakers operated under the assumption that China would be unable to manufacture AI chips. That belief, Huang argued recently, was always open to question and now looks plainly mistaken — China already possesses AI capabilities.
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Although Nvidia remains the global leader in AI chip development and reported multimillion-dollar profits in its latest quarter, Beijing has accelerated efforts to develop domestically designed and produced chips in response to U.S. export curbs that target Nvidia products.
In April, Nvidia was forced to write off $4.5 billion worth of H20 chips that it could not ship to China. That situation has created room in the Chinese market for local players to compete for dominance in the AI silicon space.
According to Gaurav Gupta, a semiconductor analyst at Gartner, one of China’s main responses to U.S. restrictions has been to hasten domestic chip production. Gupta notes that China is building a self-contained chip ecosystem that spans sourcing materials, fabrication processes, testing and packaging. This national push gives China a path to procure AI processors that, while perhaps not yet matching the top-tier U.S. chips, are steadily improving — with Huawei as a prominent example of that progress.
Nvidia’s leadership recognizes Huawei’s advances. Still, Marcio Aguiar, head of Nvidia Enterprise for Latin America, emphasizes that Nvidia’s strength goes beyond individual chips: it lies in an integrated ecosystem. Aguiar points out that Chinese firms will likely succeed in producing capable AI chips, buoyed by commercial ties, state support and partnerships. Nevertheless, he argues, Nvidia’s broader advantage comes from its end-to-end infrastructure — data centers, software stacks and development tools — which serve a wide range of industries from robotics and healthcare to telecommunications.
Nvidia faces China’s challenge
Even so, Nvidia’s share of the Chinese market has fallen sharply. Huang has said market penetration dropped from roughly 95% before the 2022 export restrictions to about 50% today. Aguiar has called for clearer guidance from the U.S. government so companies can plan and continue to serve customers within the rules. The current ambiguity, he says, is harmful for both Nvidia and its clients.
Amid this uncertainty, Nvidia is developing a new Blackwell-series chip tailored for the Chinese market. Multiple sources speaking to Reuters reported that the chip could be priced between $6,500 and $8,000 — considerably lower than the $10,000–$12,000 price tags that the H20 fetched. That lower price would reflect less demanding specifications and simpler manufacturing requirements.
China matters to Nvidia financially as well: the country represented about 13% of the company’s sales in the most recent fiscal year. To maintain some presence, Nvidia has already modified GPUs on three separate occasions to comply with U.S. export controls intended to slow China’s technological progress.
Observers expect China’s homegrown technology — among them Huawei’s offerings — to reach the compute performance of these truncated or degraded versions within a year or two. Nori Chiou, a semiconductor expert and investment director at White Oak Capital Partners in Singapore, has said such convergence is plausible in that timeframe.
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Nvidia’s global momentum will continue
Despite the complex dynamics in China, Nvidia’s executives remain confident that overall company performance will continue to accelerate. In the first quarter of fiscal 2025, Nvidia reported revenue of $44.06 billion, beating investor expectations.
Aguiar maintains that demand for compute won’t slow down. He points to a growing number of AI use cases that require heavy inference compute, and notes that companies are building out AI infrastructure — from specialized hardware and storage to advanced models for increasingly sophisticated tasks. These developments, he believes, will sustain Nvidia’s growth.
Beyond China, Nvidia is helping other countries develop domestic AI capabilities as part of broader efforts toward AI sovereignty. Aguiar lists several nations where Nvidia is aiding local AI development, including Saudi Arabia, India, Japan, Italy, Brazil and multiple countries across Latin America such as Colombia, Ecuador, Uruguay and Chile.
In short, while U.S. export controls have opened a window for Chinese chipmakers and accelerated the rise of firms like Huawei, Nvidia still counts on its extensive ecosystem and global demand for AI compute to keep its trajectory upward — even as it adapts to shifting regulatory and market realities.
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Lucas Monroe tracks the latest trends in mobile and 5G innovation. His work spans hardware analysis, telecom breakthroughs, and ecosystem development in next-gen connectivity.