Nvidia CEO: China builds AI data centers way faster than U.S.

Medium close-up of Jensen Huang centered, neutral expression, with a split background showing on the left a blazing red-gold scene of fast-rising data center towers under multiple cranes and streaming motion blur, and on the right a cooler blue scene of a slower, partially built data center frame with fewer cranes, high-contrast lighting, subtle power lines and substations threading through both halves

Nvidia CEO Jensen Huang said China holds a major advantage over the United States in AI infrastructure. He pointed to faster construction speeds and greater energy capacity as key concerns. According to Fortune, Huang told the Center for Strategic and International Studies that building a data center in the U.S. takes about three years from breaking ground to launching an AI supercomputer. In China, they can build a hospital in a weekend.

Energy and Construction Gaps

Huang also raised concerns about energy capacity. China has twice as much energy as the United States, even though the U.S. economy is larger. He said this makes no sense to him. China’s energy capacity continues to grow quickly, while U.S. capacity remains flat.

The speed at which China builds infrastructure worries Huang. But he noted that Nvidia remains generations ahead on AI chip technology. The company leads in semiconductor manufacturing processes that support AI demand. Still, Huang warned against complacency. He said anyone who thinks China cannot manufacture is missing a big idea.

Massive U.S. Investment in Data Centers

Over $100 Billion Expected Next Year

Nvidia is one of several tech companies investing billions in U.S. data center construction. Experts tell Fortune the total could exceed $100 billion in the next year alone. Raul Martynek, CEO of DataBank, said the average data center costs $10 million to $15 million per megawatt. A typical smaller data center requires 40 megawatts.

Martynek predicts the U.S. will bring 5 to 7 gigawatts online in the coming year. This translates to $50 billion on the low end and $105 billion on the high end. The investment aims to support what Martynek calls insatiable AI demand.

Huang remains hopeful about Nvidia’s future. He cited President Donald Trump’s push to bring manufacturing jobs back to the U.S. and boost AI investments. Earlier, Huang made headlines by predicting China would win the AI race. He later amended his statement, saying China was nanoseconds behind America in the race.

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