Jensen Huang talks about the modest AI bubble and the flawed separation of US and Chinese technology

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“This is true: Everyone's jobs will change as a result of AI. Some jobs will disappear…but a ton of new jobs will be created.” This direct assessment from Nvidia CEO Jensen Huang set the stage for a wide-ranging discussion with TIME's Simon Shuster at Nvidia's Bay Area headquarters in November 2025. The conversation centered on the seismic shifts driven by artificial intelligence, specifically addressing the AI ​​boom, the complex geopolitical dynamics governing technology exports, and market skepticism about the future of global competition between the United States and China.

Huang's company is a fundamental engine of the generative AI revolution, quickly answering the persistent question of whether the current massive valuations represent an irrational financial bubble. “There's always something irrational about the stock market,” he acknowledged. But he argued that critics often miss the deep structural changes occurring beneath the surface of chatbot hype. The real driver, Huang argued, is the shift from general-purpose computing to accelerated computing, a transformation driven largely by Nvidia's advanced GPUs. Given the vast opportunities presented by artificial general intelligence (AGI) and the overhaul of global computing infrastructure, Huang argued that current investments are “very modest” compared to the overall computing market. For founders and investors concerned about technology fixes, Huang's analysis suggests that the current boom is just the beginning of a fundamental industrial revolution, not a cycle of over-hype.

Nvidia's strategy reflects this long-term belief in accelerated computing. When asked about Nvidia's practice of investing in high-profile AI startups, a practice that some analysts see as potentially posing cyclical risks if these startups fail to meet their capital commitments, Huang framed the investment as a strategic ecosystem expansion. He explained that Nvidia's stake in these companies, such as Open AI, is relatively small compared to their overall revenue. Importantly, these investments will give Nvidia “front-row” partnerships with some of the most important companies of our time, giving Nvidia early insight into the trajectory and success of its core AI technology stack. Huang hints that this is not about vendor funding, but about securing influence and insight at the cutting edge of global innovation.

The conversation took a sharp turn toward geopolitics, particularly the growing friction between the United States and China and export controls. Hwang, whose Taiwanese heritage and deep roots in Silicon Valley give him a unique perspective, has expressed a nuanced and firm rejection of the decoupling narrative. He emphasized the deeply intertwined economic relationship between the two superpowers and said the idea of ​​decoupling the United States from China was “flawed.” He warned that the world “doesn't realize how deeply dependent the United States and China are on each other.” This interdependence extends beyond simple trade to the movement of human capital, particularly in the field of AI, he noted, with 50% of the world's AI researchers originating from China.

Mr. Huang's core policy position is managed competition, advocating resilience and cooperation rather than isolation. He believes that to maintain global leadership, the United States must be determined to win at every layer of the AI ​​stack: chips, cloud infrastructure, AI models, and applications. In this context, he sees the current administration's attempts to restrict sales of high-end chips as a delicate tightrope walk rather than a permanent solution. He argued that it is in America's interest to allow American companies to compete in global markets, including China, to ensure that American technology remains the global standard. Huang believes that “the ability to enter the Chinese market and be able to compete freely there and win business is great for the United States.”

This philosophy was further demonstrated in his discussion of the Middle East, where U.S. export controls also apply. He argued that the fundamental choice is whether the Middle East will build its burgeoning AI capabilities on top of the U.S. technology stack or on top of its competitors' technology stacks. “The idea of ​​ceding technology leadership, the idea of ​​ceding a huge market, didn't make sense to President Trump,” Huang said, recalling his exchange with the former president regarding sales of less powerful but still advanced semiconductors to Saudi Arabia. Huang characterized the former president as a “very good listener” and praised his efforts on energy growth, which he believes is essential to powering the energy-intensive AI industry. Ultimately, Huang sees Nvidia's role in the global marketplace as one that contributes to national security by ensuring that the United States maintains its technological superiority and economic prosperity that funds its military capabilities. He concluded that the wisest approach is to build resilience through supply chain diversification and redundancy, rather than pursuing an isolationist strategy that forces competitors to become self-sufficient.



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