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Nvidia CEO Jensen Huang disagrees with Bill Gates on taxing robots and AI tokens

Nvidia CEO Jensen Huang says he supports higher taxes on the wealthy but rejects Bill Gates’ proposal to tax robots and AI tokens, arguing that AI will be a net job creator and drive reindustrialization.

Nvidia CEO Jensen Huang has weighed in on the debate over how to manage the economic fallout of artificial intelligence, saying he is open to higher taxes on the wealthy but disagrees with Microsoft co-founder Bill Gates’ proposal to tax robots and AI tokens.

In an interview with Fox Business’s The Claman Countdown, Huang said he is “perfectly fine” with proposals to tax the ultra-wealthy more, but he does not share Gates’ view that a tax on automation is the right way to slow the replacement of human workers. “I love the heck out of Bill … but I don’t see what he sees. I see something very, very different. And so my remedies will be a little different,” Huang said.

Gates resurfaced his suggestion in an essay this week, arguing that the current tax system encourages companies to replace people with machines. “Right now, if you’re an employer and you hire someone, you pay payroll taxes on their earnings. But if you buy a robot, you can usually write it off right away as a business expense. The tax system nudges you toward replacing people with machines,” Gates wrote. He also warned that if AI takes over human jobs, government revenues from income tax would drop, and a tax on automation could “slow the rush away from human labor a little and raise money for retraining and a stronger safety net.”

Huang, who has become one of the most influential figures in the AI boom, said he supports taxes as a way for productive individuals to contribute to society. “I’m in favor of taxes. And I think that … for anybody who is productive, it’s a great way for us to contribute back to society and the economy,” he said. “But the fact of the matter is, there are probably lots of different ways to approach this.”

The Nvidia chief also pushed back on Gates’ broader caution about AI’s impact on jobs. While Gates has described himself as an AI optimist, his latest essay highlighted risks such as “stunted” child development, emboldened criminals, and vanishing jobs for Gen Z. Huang, by contrast, said he believes AI will be a “net job creator” on a scale never seen before. “Of course, the nature of jobs will change—as his already has—but I believe … that this will be a net job creator,” Huang said. “However, there are going to be many jobs that will be disrupted and so we have to be sensible about that. We have to be sensitive about that and be supportive of that.”

Huang also challenged Gates’ assumption that companies would use productivity gains to cut workers. “When companies are more productive, they don’t lay off people, they hire more people,” he said. “The reason for that is because companies have ambitions … and I would say the vast majority of the world’s companies … have ambitions for growth. When they’re more productive, when they’re more profitable, [it] allows us to invest more and go after more growth. Nonetheless, overall, this is going to be a net job creator at a scale that we have never seen.”

Huang has previously argued that skilled blue-collar workers, such as plumbers and electricians, will be in high demand as data centers are built worldwide. Speaking this week, the 63-year-old tech titan framed the AI era as one of reindustrialization for the United States. “We have lots and lots of white-collar workers, but we’re also going to have a lot of skilled labor. And having a large population of skilled labor and people who build things and make things with their hands is tremendous for the United States,” he said. “We want to reindustrialize the United States. We want to create more jobs. And all of that’s going to happen right now as we speak with A.I.”

Blake Kendall

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Science Correspondent

Blake Kendall covers public affairs, politics, business, culture and daily news for Boldest Voice. The role focuses on verification, context, and clear explanations for readers.

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