Nvidia boss on AI safety: ‘We don’t need any new laws’
Nvidia chief executive Jensen Huang told Salesforce founder Marc Benioff at Dreamforce in San Francisco that the artificial‑intelligence sector does not require any new legislation or regulatory frameworks. Speaking minutes after Anthropic CEO Dario Amodei urged a slowdown in AI development, Huang dismissed calls for additional oversight, echoing President Donald Trump’s view that existential warnings about AI are exaggerated. He argued that companies should only release products they are confident are safe and functional, and he dismissed concerns that AI will “automate away jobs” as “complete nonsense.” Huang’s remarks were made in the context of a high‑profile interview onstage, following a recent phone call with Trump in Los Angeles where the two leaders agreed that AI‑related alarmism was a “hoax.”
The interview highlighted a sharp split within the tech community over how to manage AI safety. While Huang and other Republican‑aligned figures such as Trump adviser David Sacks and House Speaker Mike Johnson contend that industry self‑regulation is sufficient, several leading AI firms are pushing for external safeguards. Anthropic’s Amodei called for industry‑wide standards and third‑party safety checks, a stance echoed by OpenAI, which backed a bipartisan House proposal for independent assessments, and by Elon Musk, who urged peer‑review among leading labs and Chinese companies. At Dreamforce, OpenAI CEO Sam Altman expressed confidence that the sector could “do the right thing” without new laws, and Benioff, while supporting existing statutes, emphasized corporate responsibility, likening AI’s potential impact to the earlier challenges posed by social‑media platforms.
The divergent viewpoints suggest an ongoing debate about the balance between rapid innovation and precautionary measures as AI becomes more embedded in commercial products. Huang’s accelerationist perspective aligns with a broader push from some political leaders to avoid what they see as stifling regulation, whereas Amodei’s and OpenAI’s calls for structured oversight reflect growing unease about unchecked development. The outcome of this discourse could shape future policy, influence investor confidence, and determine how quickly AI technologies are adopted across industries, with implications for employment, competition, and global technological leadership.
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