Nvidia CEO Jensen Huang has pushed back forcefully against growing calls to restrict Chinese AI models in the United States, arguing that American companies should be free to use them and that there is "zero possibility" China will outcompete the US. His remarks come as affordable, open-source Chinese AI models like Kimi K3 from Beijing-based Moonshot AI have sparked renewed debate about whether massive spending on proprietary AI infrastructure remains justified.

Why Is Huang Taking This Stance on Chinese AI Models?

Huang's comments directly challenge the Trump administration's approach to Chinese AI. US Treasury Secretary Scott Bessent recently told Fox Business that the administration is examining whether Chinese AI models incorporate stolen US intellectual property and is considering sanctions against companies found to be violating American interests. Several leading US AI labs have also lobbied Washington to curb adoption of Chinese models.

In contrast, Huang told Axios that open-source Chinese AI models are "excellent and should definitely be used." He emphasized that "there's no scenario where China runs US companies off the road". The Nvidia chief argued that organizations deploying Chinese models retain full control by running them inside secure environments and customizing them to suit their needs, eliminating backdoor risks that critics worry about.

Huang

What Are the Security Arguments Huang Is Making?

Huang dismissed concerns that downloading Chinese AI models could create security vulnerabilities for US organizations. He argued that open-source development actually strengthens security by enabling researchers to identify vulnerabilities and fix them more quickly, ultimately making AI models stronger and more resilient.

The Nvidia CEO also criticized Anthropic's decision to limit access to some of its cybersecurity-focused AI models. Huang contended that powerful AI systems should be strengthened through rigorous testing and rapid security fixes rather than restricting access from the outset.

How Is Nvidia Adapting to China's Market Challenges?

Huang's comments come at a time when Nvidia's business in China faces significant headwinds. China has long been one of Nvidia's most important markets, generating nearly $20 billion in revenue last year and accounting for roughly 9% of total sales. However, tighter US export restrictions have taken a heavy toll. Revenue from China fell by approximately half year over year to roughly $4.5 billion in the fiscal first quarter, and Huang has indicated that sales have continued to deteriorate.

Despite the slowdown in China, Nvidia is rapidly expanding into new growth areas that could offset lost revenue. The company is emerging as a major force in the CPU market alongside its long-standing dominance in AI graphics processing units (GPUs). Management expects to generate nearly $20 billion in CPU revenue this year, an amount that could effectively replace the revenue once generated from China.

Ways Nvidia Is Diversifying Its Business Beyond China

• CPU Market Expansion: Nvidia is combining its Vera CPUs with GPUs, high-speed networking, and AI computing racks into a unified platform, challenging established rivals such as Intel and AMD in the processor market.
• Data Center Growth: First-quarter data center revenue nearly doubled year over year to $75 billion, putting the company on track for yet another record year despite China headwinds.
• Integrated Platform Strategy: By bundling CPUs, GPUs, networking, and computing infrastructure together, Nvidia is creating a comprehensive ecosystem that differentiates it from competitors offering individual components.

Huang's willingness to publicly defend Chinese AI models reflects Nvidia's complex position in global AI markets. While the company faces restrictions on selling advanced chips to China, it still benefits from the broader AI ecosystem's growth, including the development of efficient, open-source models that reduce reliance on expensive proprietary systems. His comments suggest that Nvidia sees long-term value in an open, competitive AI landscape rather than one dominated by restricted access to any single nation's technology.