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Juli 24, 2026
Jensen Huang Says AI Panic May Be a Bigger Threat Than AI
Nvidia CEO Jensen Huang has urged AI leaders and policymakers to adopt a more optimistic tone regarding artificial intelligence, arguing that dire predictions about job losses and other dystopian scenarios are "scaring people." He criticized AI "doomerism," calling claims about the end of humanity "complete nonsense" and advised against letting "science fiction" fears drive policy.
Jensen Huang is trying to redraw the terms of the AI debate. As Washington weighs how hard to regulate the technology, the Nvidia chief is arguing that fear-driven politics could do more damage to America’s position than the technology itself.
Huang’s message is aimed at both policymakers and fellow tech leaders. In interviews this week, he rejected the apocalyptic language that has surrounded artificial intelligence and said the industry is overselling worst-case scenarios. He called claims that AI will mean “the end of humanity” and “destroy half of the American jobs” “complete nonsense,” arguing that such rhetoric risks frightening workers, businesses, and regulators away from adoption.1
That puts him at odds with a more cautionary camp in AI, including frontier labs such as OpenAI and Anthropic, which have urged Washington to take advanced-system risks seriously.2 Huang did not dismiss safety outright; instead, he argued the balance of the conversation has shifted too far toward speculative harms and away from practical benefits. “We’re scaring people,” he said, while urging AI leaders to “tell the facts” and note that the mass job losses many predicted have not materialized.3
The argument also has an economic dimension. Huang says the current AI boom is not a typical semiconductor bubble but an infrastructure build-out. “This time is different,” he said, because demand is “industrially driven” by a fundamental change in computing, not by a short-lived consumer cycle.4 In that telling, caution that slows deployment could also slow investment in the chips, data centers, and systems needed to keep the U.S. ahead.
The broader political fight extends beyond safety to openness and competition. A widely shared post highlighted Huang’s view that the U.S. should not ban or restrict Chinese AI models such as Kimi K3 and quoted him as saying, “These Chinese models are excellent” and that strong open-source models “should be used.”
5 Another viral repost framed the issue more broadly: “The future of AI leadership needs both frontier closed models and frontier open models.”6