Nvidia’s Jensen Huang sees a slow roll for AI—and a future with “robot tailors” designing apparel for machines

Nvidia Chief Executive Jensen Huang said the spread of artificial intelligence will be incremental rather than abrupt, tempering fears of immediate mass layoffs while predicting profound shifts in the nature of work. In a podcast interview, Huang argued that routine, task-based roles are most vulnerable to automation, whereas jobs centered on judgment—such as radiology—are more resilient. He also sketched out new categories of employment that could emerge alongside AI systems, including technicians to maintain assistants and even “robot apparel” makers, while acknowledging that such roles could themselves be automated over time. The comments contrast with starker forecasts from AI pioneers Geoffrey Hinton and Anthropic’s Dario Amodei, who have warned of widespread job losses. They arrive as companies race to develop humanoid robots and as an MIT analysis estimates AI can already perform tasks equivalent to roughly 12% of U.S. jobs, representing more than $1 trillion in wages at risk.

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