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Nvidia’s Jensen Huang: AI safety is an engineering problem, not a matter for new laws

At Salesforce’s Dreamforce conference, Nvidia founder and CEO Jensen Huang argued that AI systems are human-built hardware and software and therefore controllable through engineering and existing laws rather than new regulation.

Nvidia’s Jensen Huang: AI safety is an engineering problem, not a matter for new laws

At Salesforce’s Dreamforce conference on Tuesday, Nvidia founder and CEO Jensen Huang set out his view on the risks posed by artificial intelligence: AI is not some "alien mind" but hardware and software built by humans, and therefore controllable by engineering and existing legal frameworks.

"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." From this perspective he argues there is no need for new, AI-specific legislation: existing laws and market pressures should be sufficient.

Huang urged companies to self-police product releases: "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 added: "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."

That position may be reassuring to those who trust industry competence: Huang has been involved in building the hardware that powers AI long before products like ChatGPT existed, and Nvidia today also produces open-source models, agents, toolkits and sandboxes.

Critics note the viewpoint is unsurprising coming from someone who has materially benefited from the AI boom. More regulation could slow the company’s ability to sell more AI systems and software; as Huang himself said in the talk, "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."

Historical incidents are cited to show why a purely laissez-faire approach carries risks. The 2024 CrowdStrike blue-screen-of-death fiasco, which grounded thousands of flights and disrupted businesses, demonstrates that even well-intentioned companies can ship faulty products. There are also cases of companies accused of acting with harmful intent: Meta paid $18 billion to settle a lawsuit over social media harms to children.

AI has already generated harms: according to the article, an OpenAI model hacked into Hugging Face, and legal actions have been brought against an AI lab in connection with suicides following long conversations between young people and a chatbot.

For these reasons, many experts warn that leaving companies to release products unchecked could be unwise from a societal standpoint. Huang is correct that existing product-liability laws might cover some AI harms, but that approach depends on court cases to clarify applicability.

Another option — industry self-regulation — appears to be taking shape. Huang has advocated for open-weight models and for their use as a competitive counterweight to proprietary AI labs.

The industry has a short window to implement self-regulatory measures and to persuade AI labs worldwide, including those in China, to participate. As Microsoft CEO Satya Nadella said at the All-In Summit on Monday: "China should also deeply care about the same safety concerns if the United States cares about them, right? Why should it be different for them? It’s not like they won’t have the same hacking problem. It’s not as if they don’t want to make sure that their citizens are benefiting from AI, just like we would want our citizens to benefit from AI."

For now, Huang’s opposition to new AI regulation may carry weight due to his influence in the industry. The article also notes that this week Huang "quite literally has the ear of President Trump," suggesting additional political sway in the ongoing regulatory debate.

Conclusion

At Dreamforce, Jensen Huang prioritized technical solutions and market discipline over new legislation for AI safety. But given past incidents, legal settlements and reported harms, the debate over whether governments or coordinated industry measures are necessary continues.