Jensen Huang: Fears of Human Extinction and Job Losses From AI Are "Complete Nonsense"

Jensen Huang, CEO of Nvidia, called doomsday predictions about artificial intelligence "complete nonsense" in an interview with Axios published on July 23. The head of the world's most valuable tech company directly addressed statements from AI industry leaders warning of mass job losses and an existential threat to humanity.

What Nvidia's CEO Said

Speaking with Axios co-founder Mike Allen, Huang said claims of a serious existential risk from artificial intelligence have no basis in fact. He referenced comments Elon Musk made in February on Joe Rogan's podcast, where the xAI chief spoke of a "20% chance of annihilation" of humanity by AI.

Saying nonsensical things, which are not going to happen, that this is an existential threat to humanity, there's a 20% chance that it's existential. That's ridiculous - Jensen Huang, CEO of Nvidia

Huang did not spare Dario Amodei either, the head of Anthropic, who has repeatedly warned that artificial intelligence could eliminate as much as half of entry-level office jobs within the next few years. According to Nvidia's CEO, this kind of talk doesn't help build a rational public debate, it only sows unnecessary anxiety.

These kinds of comments are not helpful. They're made by people who are like me - CEOs - Jensen Huang, CEO of Nvidia

The Jobs Market Argument

The core of Huang's argument is that artificial intelligence isn't reducing demand for programmers, it's increasing it. He points out that if one engineer equipped with AI tools can generate far more value than before, it becomes more profitable for companies to hire more such specialists, not fewer.

Earlier, at the Computex conference in Taipei in June, Huang rhetorically asked the audience why a company wouldn't hire more programmers if a single one, backed by AI, could generate work worth $9 trillion across the global economy. He argued at the time that the number of software engineering jobs is actually growing, not shrinking.

Context of the Industry Feud

The dispute between Huang and Amodei has been going on for a while. As early as July 2025, Axios reported on a public clash between the two CEOs under the banner "more jobs, not fewer" - that was when Huang first clearly distanced himself from the dark scenarios pushed by Anthropic's chief. Amodei, for his part, said in September 2025 that there was a 25 percent probability AI development could "go really, really badly."

Huang described the stance of CEOs pushing doomsday predictions as a "God complex" - the belief that simply holding the top job at a major tech company grants insight into how the future of all humanity will unfold. He urged industry leaders to be more careful in their public statements and to "stick to the facts" instead of spreading unverified scenarios.

A Disconnect From Market Reality

Huang's optimistic message collides with a wave of layoffs across parts of the tech sector, which companies openly attribute to the rollout of artificial intelligence. In 2026, hundreds of thousands of jobs at Big Tech companies and beyond disappeared with AI-driven automation cited as the reason, something some commentators point to as an argument against Nvidia's CEO's thesis that the technology's effect on employment is purely creative.

For Polish companies and workers, this dispute carries practical weight, since both sides of the debate shape the global investment mood around AI, which in turn drives hiring decisions and deployment budgets on the local market too. Domestic research, such as studies previously cited by ManpowerGroup, shows a similar disconnect: AI is reshaping the structure of employment, but is not leading to the mass, sudden elimination of jobs that the most alarmist forecasts would suggest.

Huang's comments come as Washington is in the midst of a debate over AI regulation, with some lawmakers citing existential risk scenarios as an argument for tighter oversight of the technology's development. The stance taken by the head of Nvidia, the largest supplier of chips for training AI models, also carries a business dimension in this context: excessive regulatory fears could slow demand for its products.