Nvidia’s CEO Jensen Huang says that AI will augment human work rather than eliminate it outright. It will enable professionals to focus on higher-value contributions while machines handle routine tasks. He used radiology as an example, where AI assists in analysing scans but does not replace the role of the physician, whose core judgment and patient interactions remain essential.
Huang said this during a panel discussion with BlackRock CEO Laurence Fink on January 21, addressing widespread concerns about automation and job displacement.
Huang also emphasised that the current AI boom is driving one of the largest infrastructure buildouts in history, particularly in construction, data centres, and skilled trades such as plumbing and electrical work — sectors that are seeing strong demand for labour as AI systems are deployed at scale.
Will AI eat humans’ jobs? This is a major global debate, especially when there is a discussion on AI and its role in our daily lives. Huang argued that AI is not a mass job killer. Instead, he said that the rapid expansion of AI, particularly the infrastructure build-out needed to support it (e.g., data centers, chip facilities), is already creating strong demand for skilled and manual labour.
While NVIDIA’s chief projected an optimistic evolution of jobs, a recent Goldman Sachs report underscores the scale of automation currently underway. Analysts Joseph Briggs and Sarah Dong estimate that up to 25 per cent of all work hours could be automated by AI in the near future, based on U.S. Department of Labor data.
The Goldman Sachs analysis suggests that routine and repetitive tasks, such as administrative work, data entry, warehouse management, customer support, and awareness, are most susceptible to automation. However, it also points to broader economic shifts rather than outright job destruction.
Both perspectives converge on the idea that AI will restructure the nature of work. Nvidia’s CEO Jensen Huang focuses on job augmentation and new opportunities. While the Goldman Sachs projection frames automation as a force for reconfiguring, not wholesale eliminating, jobs.
“We are not witnessing the end of human roles,” Huang said in Davos. “We are witnessing the evolution of how those roles are performed, with AI acting as a powerful collaborator that helps humans achieve more, not replace them.”
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