Nvidia, NVDA, CEO has said humans are going to be “busier in the future than now" because of AI
Nvidia CEO Jensen Huang said the world is “at the beginning of the AI revolution,” suggesting that the widespread adoption of artificial intelligence across industries could “probably” lead to a transition to four-day work weeks, signaling another social shift comparable to earlier industrial revolutions. But he cautioned that this does not mean life will slow down.
“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 highlighted AI’s remarkable ability to complete time-intensive tasks rapidly, predicting that its real effect will be enabling the execution of more ideas from business leaders. “I’m always waiting for work to get done because I’ve got more ideas,” Huang said, adding that “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 the interview, forecasting increases in GDP and productivity. Nvidia’s own performance reflects that momentum: the remarks came just after the company reported record second-quarter earnings of $46.7 billion. Nvidia’s market capitalization still exceeds $4 trillion, the largest in the world.
Bank of America Research has likewise forecast a broad productivity surge for the S&P 500 as firms adopt AI to do more with less, addressing the long-standing “productivity paradox” of the computer age—where technology’s presence was evident everywhere except in productivity statistics. Savita Subramanian, BofA Research’s Head of U.S. Equity & Quantitative Strategy, told Fortune this was driven in part, though not exclusively, by AI. Echoing Huang’s point, she stressed that “If you’re productive, you are doing things more efficiently, you need less labor. And this is more labor efficiency than anything else.”
Huang underscored that AI’s reach now extends into nearly every sector, from cloud computing and manufacturing to robotics and autonomous vehicles. He described the surging demand for Nvidia’s AI chips, particularly its new Blackwell Ultra architecture (code-named GB300), fueled by unprecedented global investment in data centers. By his estimate, $3 to $4 trillion of AI factory infrastructure will be built by the end of the decade.
Looking ahead, Huang acknowledged both the concerns and opportunities tied to AI’s effect on the future of work. The conversation also touched on geopolitics, including chip export restrictions to China under the Trump administration. Huang positioned U.S. technology as a global benchmark, remarking, “Having the world build AI on American tech stack helps America win.” Nvidia, meanwhile, remains keen to resume shipments to China, potentially regaining part of a $50 billion AI hardware market there.