Nvidia founder and CEO Jensen Huang delivered a firm stance against new artificial intelligence regulation during a talk at Salesforce’s Dreamforce conference on Tuesday, September 15, 2026. According to a report by TechCrunch, Huang argued that AI safety is fundamentally an engineering challenge best left to the companies building the technology, not a matter for new legislation.
"Safety is an engineering problem, not a legal one," Huang said. He framed modern AI systems not as mysterious, uncontrollable forces but as complex products built from hardware and software. "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," he stated, dismissing characterizations of AI as an "alien mind." His position is that because these systems are human-made, they can be controlled by humans and governed by existing laws.
Huang explicitly rejected calls for new regulatory frameworks. "We don’t need any new laws. We don’t need new regulations," he asserted. Instead, he placed his faith in market forces to ensure safety, suggesting that companies would be pressured not to release unsafe products due to the commercial and reputational risks. "If we’re not confident about the safety of the products, like all companies, like you, we wouldn’t release it," he said, advising firms to "run as fast as you can" on development but to pause if a product's safety is in doubt.
Huang's comments place him squarely on one side of a deep and ongoing schism within the tech industry regarding AI governance. His viewpoint contrasts sharply with that of other prominent figures, including some within leading AI labs, who have advocated for stricter oversight, international cooperation, and even pauses in the development of the most powerful systems. The debate has intensified as AI capabilities have advanced rapidly, raising concerns about misinformation, bias, job displacement, and potential long-term existential risks.
As the CEO of Nvidia, Huang leads a company that has become the most valuable in the world largely by supplying the essential hardware—high-performance GPUs—that powers the global AI boom. Nvidia's chips are foundational to the training and operation of large language models and other advanced AI systems developed by companies like OpenAI, Google, Meta, and countless others. This position gives Huang a uniquely influential podium in the industry, but also frames his perspective: Nvidia profits from the accelerated, widespread adoption of AI, and new regulations could potentially slow that growth or impose standards that impact its customers' development cycles.
The context of the Dreamforce conference is also significant. Salesforce, the host, is a major enterprise software company aggressively integrating AI into its customer relationship management (CRM) platforms. The event typically focuses on the business applications and opportunities presented by new technology, making it a natural venue for a argument against regulatory impediments to innovation. Huang's message resonates with a business audience eager to deploy AI tools without navigating a complex new web of compliance requirements.
Historically, the tech industry has frequently championed self-regulation and moved faster than government policy can keep pace, from the early days of the internet to the rise of social media. Huang's argument follows this tradition, suggesting that the industry's engineering expertise is sufficient to manage the risks. However, critics of this approach point to past failures where market incentives did not adequately protect public safety or societal well-being, arguing that the potential scale and impact of AI necessitates proactive, democratic governance.
Huang's remarks contribute to a critical global conversation happening simultaneously in legislative halls from Washington to Brussels. The European Union's AI Act, the United States' executive orders and ongoing congressional discussions, and international frameworks like the UN's efforts all represent moves toward the very regulatory oversight Huang questions. His stance underscores the tension between Silicon Valley's move-fast-and-build ethos and growing governmental and public demand for accountability and guardrails in the AI era.
