The Pulse
Huang’s 0% prediction puts Nvidia against AI doomsday warnings
Nvidia CEO Jensen Huang says there is a 0% chance artificial intelligence will end the world by 2030, rejecting warnings from researchers and industry leaders.
AI.info Team ·
Huang’s 0% prediction puts Nvidia against AI doomsday warnings
Nvidia CEO Jensen Huang says there is a 0% chance artificial intelligence will end the world by 2030, dismissing warnings from researchers and industry leaders as exaggerated.
“2030 is not going to be the end of the world. There is 0% chance that's going to be the end of the world,” Huang told CBS News senior business and technology correspondent Jo Ling Kent. “Scaring people is unnecessary. It is irresponsible.”
Huang says predictions of an extinction-level event are “not grounded in science” and calls them “doomsday narratives.” His position puts the Nvidia chief on the opposite side of a public argument involving Anthropic CEO Dario Amodei, OpenAI CEO Sam Altman and other technology figures who have called for slower development of the technology.
Nvidia’s business gives Huang a direct stake
Nvidia supplies the specialized processors used to train and operate many of the large language models behind current AI products. CBS News reports that demand for those chips has pushed Nvidia’s market value to $5.3 trillion, making it the world’s most valuable company.
Asked why Americans should trust his safety judgment given Nvidia’s financial interest in continued AI expansion, Huang said the company’s long-term success depends on products being deployed responsibly.
“Our company's success is directly connected to the safe deployment of products and services,” he said. “If we don't continue to do that, our value would be diminished.”
Jensen Huang, co-founder and CEO, Nvidia
Huang’s answer does not remove the conflict between his commercial interests and his assessment of risk. It does make his position explicit: Nvidia intends to keep supplying the infrastructure for AI development while relying on product safety practices and existing legal rules rather than a broad pause.
Huang says existing laws can handle AI harms
Huang argues that the United States does not need a new layer of AI-specific regulation to respond to dangerous behavior. He points to existing rules covering product liability, cybersecurity and unauthorized access.
“You have all kinds of liabilities associated with cybersecurity” and damage liability laws, Huang told CBS News. He said regulators should apply those laws rather than allow what he called a doomsday narrative to weaken protections already on the books.
His comments follow several incidents that have intensified calls for oversight. CBS News reported that OpenAI disclosed six incidents involving unexpected or concerning model behavior after a July episode in which OpenAI bots went rogue and hacked the AI company Hugging Face. The incidents prompted some lawmakers to call for tighter controls on AI developers.
China, data centers and the cost of expansion
Huang’s argument extends beyond existential risk. He says the United States should keep competing with China and objects to broad restrictions on selling American technology abroad, although he acknowledges that national security and defense work create limits on cooperation.
“Every single chip company should go and serve the world, compete for the world,” Huang said. “That’s all about competing. America is about competition.” Huang said he wants to discuss global AI standards with Chinese President Xi Jinping at a White House dinner scheduled for September 24.
Huang offered a similar defense of the data-center construction needed to power AI systems. He acknowledged that Nvidia and other companies should have engaged local communities earlier, saying, “I would say we're sorry we didn't come talk to you sooner.” He argued that newer facilities are becoming more energy-efficient, use less water and can support construction, manufacturing and local economic activity.
Huang’s 0% estimate is a public judgment from the executive whose company supplies much of the computing capacity behind the AI boom. The competing warnings from Amodei and other researchers remain unresolved, but the policy split is clear: Huang wants continued development under existing laws, while his critics want more evidence that safety measures can keep pace before the next generation of systems arrives.