Nvidia CEO Jensen Huang Says AI Safety Does Not Require New Regulation

Nvidia founder and CEO Jensen Huang has rejected calls for additional artificial intelligence regulation, arguing that companies developing AI systems already have strong incentives to ensure their products are safe before releasing them.

Speaking Tuesday at Salesforce’s Dreamforce conference in San Francisco, Huang characterized artificial intelligence as a computing technology created by people rather than something beyond human control. His position comes amid a widening industry debate over whether increasingly capable AI systems require slower development, coordinated safety standards, or additional government oversight.

“Safety is an engineering problem, not a legal one,” Huang said. “We’re developing software after all. We’re developing computing systems after all. It’s a complicated computing system, but it’s ultimately a computing system.”

Jensen Huang Says Companies Should Withhold AI Products That Are Not Ready

Huang argued that technology companies should apply familiar product-development principles to artificial intelligence: test systems carefully and do not release them when there is insufficient confidence in their performance or safety.

“If we’re not confident about the safety of the products, like all companies, like you and I, all the companies here, if you build a product or a service, and you’re not confident in its functionality, capability, or safety, then don’t release it. And so that’s a very obvious thing to do,” he said.

Nvidia’s own account of Huang’s Dreamforce appearance similarly quotes him saying safety is “job one” and that a company should not release a product or service if it is not confident in its functionality, capabilities, or safety.

Huang also argued that market pressure already gives companies an incentive to avoid launching products that could cause problems for customers.

“You pace yourself until you are confident you’re releasing something that the market would appreciate. The market forces are already there. We don’t need any new laws. We don’t need new regulations. We just need companies to decide that when [to] run as fast as they can. I think innovation, speed, and safe products … it’s a false choice. You could definitely have both at the same time. So run as fast as you can. But if you feel at any given point in time the company’s out of control, or the product’s not going to be safe, you know, take a pause and make sure you get it right.”

The comments place Huang on one side of a broader debate among major technology executives over how quickly advanced AI should progress and what safeguards should accompany that development.

AI Leaders Remain Divided Over Development Speed And Safety

Anthropic CEO Dario Amodei has advocated slowing improvements at the frontier of AI development to give safety measures more time to keep pace. His proposals have included independent evaluations, common safety standards and greater international cooperation. OpenAI CEO Sam Altman has also supported elements of the push to pace frontier AI development.

Huang has taken a different position. Rather than supporting an industry-wide slowdown, he argues individual companies should move rapidly while pausing their own development or releases whenever they are unable to establish that a product is ready.

The disagreement does not mean safety is absent from Huang’s position. At Dreamforce, he explicitly described safety as paramount while arguing that rapid innovation and safe products are not mutually exclusive.

Meta CEO Mark Zuckerberg has separately expressed a similar view that competition and liability give AI developers incentives to prioritize safety, while maintaining that individual laboratories should be responsible for determining when their systems are ready.

Nvidia CEO Pushes Back Against Additional AI Regulation

Huang’s opposition to new regulation comes as governments, AI developers and technology companies continue debating how advanced models should be governed.

His position centers on treating AI systems as engineered products whose risks can be addressed through technical safeguards, testing and decisions by developers about when systems are ready for deployment.

That approach contrasts with proposals calling for more coordinated intervention across the AI industry. Amodei has advocated third-party evaluations and common standards, while other technology leaders have discussed the importance of keeping advanced systems under human control and strengthening testing before deployment.

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The debate has also reached the White House. During an appearance at the All-In Summit in Los Angeles this week, Huang spoke with President Donald Trump as discussions over slowing AI development intensified. Trump has publicly opposed an AI slowdown, while Huang has argued that the United States should continue advancing the technology.

For Huang, accelerating AI development remains compatible with taking precautions when necessary.

“I’m more ambitious than ever. As a result of our ambition, and with the product productivity boost that we get from AI, the sky’s the limit for us. The sky’s the limit for our company. The sky’s the limit for every industry, for every single country.”

Nvidia’s Dreamforce account similarly records Huang telling attendees to “Engage AI. Don’t get left behind,” as he predicted that companies, enterprises and countries would increasingly become AI-driven.