Nvidia CEO Slams China AI Chip Sales Ban "Not Losers"
Nvidia CEO Jensen Huang criticized the AI chip sales ban to China as "defeatist." He argued it's not rational for US companies and only encourages China's technological self-reliance.
TITLE: Nvidia CEO Jensen Huang Slams China AI Chip Sales Ban “Not Losers” SLUG: nvidia-jensen-huang-china-ai-chips-controversy CATEGORY: ai EXCERPT: Nvidia CEO Jensen Huang criticized the AI chip sales ban to China as “defeatist.” He argued it’s not rational for US companies and only encourages China’s technological self-reliance. TAGS: AI, Nvidia, Semiconductors, Trade Restrictions, China IMAGE_KEYWORDS: Nvidia, Jensen Huang, China, AI chip, semiconductor, trade restriction, technology, CEO
Nvidia CEO Jensen Huang Outraged by China AI Chip Sales Restrictions
On April 18, 2026, according to a report by US technology media Tom’s Hardware, Nvidia CEO Jensen Huang became emotional when pressed by reporters about US policies restricting AI chip sales to China, stating, “You’re not talking to someone who woke up as a loser.” Huang strongly argued that cutting off the Chinese market is a “defeatist proposition” for US companies and hard to comprehend. This statement suggests the US-China technology rivalry over AI chips is entering a new phase.
Background: The AI Chip War and the Importance of the Chinese Market
Currently, the AI chip market is at the forefront of global technological competition. Citing security concerns, the US government has gradually restricted the export of advanced semiconductor technology to Chinese companies. Targets especially include GPUs (Graphics Processing Units), essential for AI development, and advanced semiconductor manufacturing equipment. Nvidia holds a dominant share in the AI chip sector, and China is the company’s second-largest market after the US. Financial data from 2025 shows that approximately 20% of Nvidia’s revenue is China-related, with particularly high demand for data center AI chips like the “H100” and “A100.”
Huang’s remarks echo industry frustration that this restrictive policy is actually counterproductive. He warns that “cutting off China only slows US technological innovation and helps China build its own ecosystem.” Indeed, China, led by the government, continues to invest heavily in the domestic production of AI chips, with rapid progress in developing proprietary technology, such as Huawei’s “Ascend” series and chips for Alibaba’s “Tongyi Qianwen.” In early 2026, the domestic self-sufficiency rate for AI chips in China reached 30%, with the government aiming to raise it to over 50% by 2027.
Impact: Ripple Effects on Nvidia and the Semiconductor Industry
Huang’s “not losers” statement is more than just an emotional expression; it’s also a declaration of confidence to investors and the industry. Affected by the shrinking Chinese market, Nvidia’s China-related sales in Q1 2026 fell 15% year-over-year, and its stock price experienced a short-term decline. However, Huang emphasized that “Nvidia is focusing on other growth areas beyond AI chips, such as the autonomous driving platform ‘Drive’ and robotics software ‘Omniverse,’ to diversify revenue streams.”
Across the industry, US export restrictions are causing supply chain disruptions. AMD and Intel also face restrictions on sales to China, impacting their earnings. Meanwhile, foundries like Taiwan’s TSMC are adjusting production lines to comply with US regulations, increasing the risk of fragmentation in the global semiconductor supply network. Regions like Europe and Japan are also strengthening their own semiconductor strategies, accelerating moves towards technological sovereignty.
Analysis: The Complex Entanglement of Technology and Politics
Huang’s outrage reflects the political dilemmas faced by technology companies. He appeals that “technology should transcend borders, and open innovation promotes human progress,” but the US government prioritizes national security and maintains its stance to curb China’s AI technological capabilities. This confrontation creates new geopolitical risks across the entire AI chip lifecycle—from design and manufacturing to usage.
For instance, Chinese companies have long relied on Nvidia’s CUDA platform but, facing export restrictions, are accelerating the development of their own software stacks like “MindSpore.” In the long term, AI chip technical standards may split between the US-led “CUDA ecosystem” and a China-led “domestic ecosystem,” potentially causing compatibility issues. This could further advance the fragmentation of global AI development.
Future Outlook: Nvidia’s Strategic Shift and Market Direction
Huang is rapidly expanding sales in markets outside China, such as India, Southeast Asia, the Middle East, and Europe. In April 2026, Nvidia announced a partnership with Indian IT giant Infosys to provide AI chips optimized for the local market. This strategy aims to offset hardware sales declines by increasing the ratio of software and service revenue.
On the Chinese side, efforts to build a self-reliant AI ecosystem will accelerate. Under the government’s “Made in China 2025” plan, domestic production of AI chips has become a national priority, with foundries like SMIC focusing on developing advanced processes. However, technical challenges remain.
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