October 19, 2026: As concerns over job losses continue to grow across industries, Nvidia chief executive Jensen Huang has offered a seemingly contradictory view of the future of work, arguing that the world could face a severe labour shortage in the coming years. His argument rests on the rise of physical AI, a technology he believes will transform factories and some of the world’s largest industries.
Speaking at the Hill and Valley Forum recently, Huang said the next wave of AI would move beyond digital applications and enter the physical world, enabling machines to understand and interact with their surroundings. He expects this shift to accelerate the adoption of robotics, particularly in manufacturing.
“Hopefully, in the next 10 years, this new generation of factories will be highly robotic,” Huang said, arguing that such facilities could help address what he described as a severe labour shortage around the world.
The forecast presents an interesting contrast at a time when workers are increasingly worried about automation, corporate restructuring and the possibility that new technologies could reduce demand for certain jobs. While much of the public debate focuses on the work machines might take away, Huang is drawing attention to a different problem: whether there will be enough workers to meet the needs of the global economy.
Automation Threatens Jobs, but Jensen Huang Sees a Worker Shortage
His argument is that AI-powered robots could fill gaps in industries that struggle to recruit and retain workers. Manufacturing is one potential area, particularly for repetitive, physically demanding or hazardous tasks. If these systems become reliable and economical enough, companies could use them to maintain or expand production even when hiring becomes difficult.
Jensen Huang also highlighted a limitation of current AI systems. “Most AI today doesn’t understand the laws of physics, friction, inertia, or cause and effect,” he said, pointing to physical reasoning as a capability that humans and animals possess naturally but machines have struggled to replicate.
The development of physical AI aims to bridge that gap, allowing robots to respond to changing environments rather than simply follow fixed instructions. When these capabilities are integrated into physical machines, Huang argued, they could enable a new generation of industrial robotics.
However, the prospect of labour shortages does not necessarily contradict the risk of job losses. Both could occur at the same time, across different sectors, occupations and regions. A factory might struggle to find enough skilled technicians while reducing the number of workers required for certain production tasks. Similarly, demand could rise for engineers and robotics specialists even as opportunities decline in roles that are easier to automate.
That distinction matters because a shortage of workers is not the same as a shortage of jobs for people whose skills are becoming less relevant. Even if employers face difficulties filling vacancies, displaced workers may not have the training, location or resources needed to move into the roles being created.
There is also a question of timing. Jensen Huang’s vision of highly robotic factories is a forecast for the next decade, not a guarantee that the technology will be adopted uniformly. The cost of deploying robots, the complexity of real-world environments and the need to integrate new systems into existing operations could determine how quickly the transition unfolds.
The larger question, therefore, is not simply whether AI will eliminate jobs or create a labour shortage. It is whether the jobs that emerge will be accessible to the people whose existing roles are disrupted, and whether businesses and governments can prepare workers for that transition.
Huang’s remarks offer a reminder that the future of employment may be more complicated than a straightforward contest between humans and machines. But his prediction also leaves an important issue unresolved: even if the world eventually runs short of workers, that will offer little comfort to people who lose their jobs before the new opportunities arrive.
