Nvidia CEO Jensen Huang Calls AI Job Loss Narrative 'Complete Nonsense' and 'Too Lazy'

Nvidia CEO Jensen Huang has forcefully pushed back against claims that artificial intelligence is destroying jobs, describing the narrative as "complete nonsense" and accusing some executives of using it as a convenient excuse for layoffs.

In a wide-ranging interview with Channel NewsAsia aired around May 25, 2026, and echoed in remarks at Computex in Taipei on June 1, Huang directly challenged business leaders who blame AI for workforce reductions.

"The narrative that connects AI to job loss, for many of the CEOs that are doing it, it is just too lazy," Huang said. "AI has just arrived. How is it possible they're already losing jobs? How is it possible that AI became productive and useful only six months ago, and they were somehow laying people off two years ago because of AI? It doesn't make any sense."

He added that such claims appear designed "to sound smart" and are ultimately irresponsible because they scare workers unnecessarily.

Huang pointed to software engineering as a prime example. Far from reducing demand, AI is driving hiring in the field.

"The number of engineers, software engineers, is actually increasing," he stated. "People talk about AI reducing jobs, complete nonsense. It's causing more software engineers to be hired."

He attributed this growth to the rise of "agentic AI" capabilities, which boost productivity to such an extent that companies expand their ambitions, take on more projects, and require additional human talent to execute them.

During his Computex keynote, Huang highlighted surging GitHub activity and data showing software developer roles projected to grow 17% through 2033, with recent job postings up sharply in the US and UK.

The Nvidia chief argued that AI functions as a productivity multiplier rather than a direct replacement. Companies that adopt it become faster, more profitable, and larger, leading them to hire more people overall, not fewer.

He cited Nvidia itself as evidence, noting that the company is dramatically accelerating timelines thanks to the technology while continuing to expand its workforce.

Addressing workers anxious about their futures, Huang offered straightforward advice:

"You're not going to lose your jobs to AI. You're going to lose your job to somebody who learnt AI better than you."

He drew parallels to the personal computer revolution, where those who adapted thrived while others were left behind.

Huang has consistently maintained an optimistic view on AI's economic impact.

He sees the technology as a historic opportunity for re-industrialization, job creation across data centers, chip manufacturing, and software, and broad productivity gains that benefit society.

He has previously described fears of massive AI-driven unemployment as "ridiculous" and emphasized that AI will change most jobs rather than eliminate them outright.

His latest comments come amid ongoing debates over tech industry layoffs, such as the most recent layoffs at Meta, Amazon and more.

Several companies have cited AI-driven efficiency gains and heavy AI infrastructure investments as factors in workforce adjustments.

Huang did not name specific firms but made clear he believes many such justifications do not hold up under scrutiny, given AI's relatively recent arrival as a practical workplace tool.

NVIDIA, the world's leading provider of AI chips, continues to see explosive demand for its technology as enterprises race to build and deploy AI systems.

Huang's remarks reinforce the company's bullish outlook on both technological progress and its broader economic effects.

As AI adoption accelerates globally, Huang's message is clear: the technology of the era demands engagement, not fear.

Those who learn to harness it, he argues, will drive the next wave of growth and opportunity.