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Policy & Regulation updated 4 min read

Jensen Huang Opposes New AI Regulations, Urges Trust in Market Forces

Speaking at Salesforce's Dreamforce conference, Nvidia founder and CEO Jensen Huang pushed back against the creation of new laws and regulatory frameworks designed specifically for artificial intelligence. Huang argued that AI is fundamentally an advanced software and hardware computing system built by humans, framing safety as an engineering challenge rather than a matter requiring specialized…

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Key points

  • Jensen Huang stated that AI safety is strictly an engineering problem and does not require new laws or dedicated regulatory frameworks.
  • The Nvidia CEO claimed market discipline naturally prevents tech companies from launching unsafe or untested AI systems.
  • Critics caution that relying solely on self-regulation risks overlooking severe harms, noting previous software failures and AI safety incidents.

According to Huang, market pressures and existing legal systems are sufficient to protect the public. He asserted that companies naturally will not ship products or services unless they are confident in their functionality, capability, and safety, dismissing the perceived trade-off between rapid innovation and risk management. Huang advised businesses to move as fast as possible, pausing only when safety concerns arise internally.

The comments highlight a deepening division between tech executives who advocate for minimal government oversight and critics who note the growing list of digital harms caused by AI. With Nvidia serving as the dominant supplier of the hardware powering global artificial intelligence infrastructure, Huang's lobbying stance against government guardrails carries substantial weight with policymakers.

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Full story from TechCrunch AI · by Julie Bort Open source ↗

We don’t need AI regulation — leave safety to us, Nvidia’s Jensen Huang says

TechCrunch AI · 16 September 2026

Nvidia founder and CEO Jensen Huang made his position on the dangers AI poses very clear while speaking at Salesforce’s tech conference Dreamforce on Tuesday. To him, AI isn’t some kind of new form of “alien mind,” as at least one OpenAI safety researcher has described it. It’s just hardware and software, he says, built by humans. That means, in his view, it can be controlled by humans and existing laws.

“Safety is an engineering problem, not a legal one,” he 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.”

Therefore, there’s no need for new laws or regulations to govern it, he argues. In fact, Huang sees little need for new laws at all. The free market, he argues, will be enough to pressure companies not to release unsafe products.

“If we’re not confident about the safety of the products, like all companies, like you and I, any any 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.

He continued: “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 or the product’s not going to be safe, you know, take a pause and make sure you get it right.”

In some ways, this is a comforting thought. If anyone in the world knows AI, it is Nvidia’s founder, who’s been building the hardware brains of AI since well before ChatGPT existed and now runs a company that also makes open source models, agents, harnesses, and sandboxes.

Then again, if we’re being cynical, his point of view is also unsurprising for someone who’s had his bread so well buttered by the AI boom. Why would he want regulation to come along and add in a layer of hinderance that could slow down Nvidia’s quest to sell ever more AI systems and software? As he also said in the interview: “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.”

Unfortunately, even companies with the best intentions ship faulty products with unintended consequences, even software. Remember the 2024 CrowdStrike bluescreen-of-death fiasco that grounded thousands of flights and caused other havoc for businesses? Then there are companies accused of deliberately lacting with less-than-good intentions. Meta just paid $18 billion to settle a lawsuit over social media harms to children.

And AI has already caused harm, too, whatever the intentions orsafety testing involved, from an OpenAI model hacking into Hugging Face to lawsuits suing the AI lab over the suicides of young people who engaged in long conversations with its chatbot.

The “leave them alone” strategy, which would let these companies release products as they see fit, could be an unwise approach to AI safety as far as society is concerned. Though Huang is right that it’s possible existing product liability laws could cover AI — if AI doesn’t somehow kill us all before enough cases get through the courts to test that theory.

He didn’t discuss the other route, which seems close to taking shape: industry self-regulation. Huang’s approach has been more to champion open-weight models and companies’ use of them as a competitive counterweight to proprietary AI labs.

But right now, the industry has a short window to institute self-regulation and to encourage AI labs worldwide, even those inChina, to see the wisdom in participating. 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, though, if Huang is a no on any new AI regulation, he may be influential enough to get his way. He also demonstrated this week that he, quite literally, has the ear of President Trump.

This text was published by TechCrunch AI and written by Julie Bort. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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