“I have to admit that I’m afraid to say that we are going to be busier in the future than now,” Huang told Liz Claman on Fox Business Network’s The Claman Countdown. He pointed to AI’s uncanny ability to take time-consuming things and get them done very quickly, and predicted that the way this will actually work is to realize the ideas of more business leaders with many ideas in their heads, like himself. “I’m always waiting for work to get done because I’ve got more ideas,” he told Claman, adding that he thinks “most companies have more ideas than we know what to pursue.  And so the more productive we are, the more opportunity we get to go pursue new ideas.”

“Every industrial revolution leads to some change in social behavior,” Huang noted in a wide-ranging interview, predicting that GDP will grow and productivity will increase. Certainly his company is growing. Huang was speaking to Claman in the aftermath of Nvidia’s record $46.7 billion second quarter earnings announced just a few days beforehand. His company still has a market capitalization north of $4 trillion, the largest in the world.

Bank of America Research has predicted a sweeping productivity boom for the S&P 500 as companies learn to do more with less, solving the “productivity paradox” that has been a characteristic of much of the computer age: you can see the revolution everywhere except in the productivity statistics. BofA Research’s Head of US Equity & Quantitative Strategy, Savita Subramanian, told Fortune this was partially, but not entirely, due to AI. The key is the same thing identified by Huang: doing things more efficiently. “If you’re productive, you are doing things more efficiently, you need less labor. And this is more labor efficiency than anything else.”

Extraordinary growth and demand for AI

Huang emphasized that AI capabilities now touch nearly every sector, from cloud computing to manufacturing, robotics, and even self-driving vehicles. He detailed the explosive growth in demand for Nvidia’s AI chips, especially their new Blackwell Ultra architecture (code-named GB300), fueled by surging global investments in data centers. Huang estimated that through the end of the decade, about $3 to $4 trillion of AI factory infrastructure will be built out.

Looking to the future, Huang acknowledged both anxiety and excitement about AI’s effect on work.

The interview also touched on the geopolitical tension of chip exports to China and the Trump administration’s stance on licensing. Huang positioned US technology as a potential global standard, remarking, “Having the world build AI on American tech stack helps America win.” Nvidia remains eager to resume China shipments, which could reclaim a share of a $50 billion AI hardware market there.

The 4-day week is already reality in some places

Fortune highlights that several companies pioneering the four-day work week have seen notable wins: productivity climbed by up to 24%, burnout was halved, and turnover dropped sharply. Large-scale studies in Britain and North America found that workers can accomplish the same results in around 33 to 34 hours weekly—and the drop from five to four days led to significantly better health, job satisfaction, and a dramatic reduction in sick days and quitting rates, suggesting that the current five-day work week is largely performative.

In the Netherlands, Fortune has reported, workers routinely put in just 32 hours a week, enjoying the quality-of-life improvements that come from a four-day schedule. Employees overwhelmingly want to keep the shorter week after pilot programs end and organizations that switch to them rarely revert to five days, supporting Huang’s assertion that industrial revolutions bring lasting social change.

Huang noted that with the advent of modern capitalism, the seven- or six-day work week evolved into a a world of five-day work weeks.  “Every industrial revolution leads to some change in social behavior,” he said, adding that he expects the economy to be doing very well because of AI and automation.” He returned to the hotly debated impact on jobs, where Huang has been optimistic and peers such as Anthropic’s Dario Amodei have predicted that 50% of white-collar work will vanish. “Some jobs will go away,” Huang said. “Many jobs will be new and invented. But one thing for sure, every job will be changed as a result of AI.” He added that he believes “life quality will get better, of course, over time.”

Nvidia declined to comment further.

For this story, Fortune used generative AI to help with an initial draft. An editor verified the accuracy of the information before publishing.