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Nvidia CEO Jensen Huang predicts AI winners: Electricians and plumbers could dominate the next job boom with six-figure salaries

Nvidia CEO Jensen Huang predicts AI winners: Electricians and plumbers could dominate the next job boom with six-figure salaries
The artificial intelligence revolution may create fortunes for AI companies and chipmakers, but Jensen Huang believes some of the biggest winners could be workers far removed from Silicon Valley offices. Speaking at Carnegie Mellon University’s commencement ceremony for the class of 2026, the Nvidia chief said the AI boom is creating massive demand for electricians, plumbers, welders, technicians, and builders needed to construct the physical infrastructure powering the technology. Huang described the moment as a “new industrial era”, arguing that skilled trades could soon become some of the most valuable and highly paid careers in the modern economy.

Why Jensen Huang predicts electricians and plumbers as AI winners

For years, the AI race has been viewed mainly through the lens of coders, engineers, and data scientists. But Huang argued that the real-world infrastructure behind AI is becoming just as important as the algorithms themselves.“AI gives America the opportunity to build again,” Huang said during his speech. “Electricians, plumbers, iron workers, technicians, builders — this is your time.”The rapid rise of generative AI systems has triggered an enormous wave of spending on data centres, semiconductor plants, and advanced computing infrastructure.
These facilities require huge amounts of electrical wiring, cooling systems, pipes, ventilation, backup generators, and maintenance work before a single AI model can operate.According to industry estimates cited in the report, major technology firms could collectively spend around $700 billion this year on AI-related capital expenditure, much of it tied to physical infrastructure expansion.Modern AI data centres are among the most power-hungry facilities ever built. Training advanced AI models requires thousands of specialised chips running continuously, generating massive heat that must be controlled through complex cooling systems.That has sharply increased demand for skilled workers capable of building and maintaining these facilities. Electricians are needed to manage high-capacity power systems, while plumbers and HVAC specialists play a major role in liquid cooling infrastructure that prevents servers from overheating.A March analysis by staffing company Randstad found that demand for skilled trades has risen significantly over the past three years. Construction worker demand reportedly climbed by 30%, welding jobs rose by 25%, and demand for electricians increased by 18%.At the same time, employers face another challenge: a shrinking labour pool. Millions of experienced tradespeople are approaching retirement, while fewer younger workers have entered these professions over the past two decades.

Huang believes six-figure salaries could become common

Huang has previously suggested that skilled tradespeople could soon command six-figure salaries, particularly in sectors connected to AI infrastructure and advanced manufacturing.The labour shortage gives workers more bargaining power as companies compete for specialised talent. AI data centres cannot be built without large teams of electricians, pipefitters, welders, and technicians working on-site for months or even years.The scale of construction is enormous. Huang described the AI boom as “the largest technology infrastructure buildout in human history”, pointing to plans for chip factories, computer factories, and data centres across the United States.Other business leaders share similar concerns. Jim Farley, chief executive of Ford Motor Company, has also warned about a growing shortage of skilled workers capable of supporting manufacturing expansion and industrial reshoring efforts.

Why some workers see trades as more ‘AI-proof’

Huang’s comments arrive at a time when many office workers are increasingly worried about automation. AI tools are already reshaping industries such as software development, customer service, marketing, and administrative work.Skilled trades, however, remain much harder to automate because they involve physical work in constantly changing real-world environments. Installing electrical systems, repairing pipes, or managing construction projects often requires human judgement, adaptability, and hands-on expertise that robots still struggle to replicate.That perception has started changing how some younger workers view career choices. Rising student debt, uncertainty surrounding traditional white-collar jobs, and growing interest in stable hands-on careers are leading more people to reconsider trade schools and apprenticeships.

The AI construction boom still comes with risks

Despite the optimism, the future is not entirely guaranteed for workers tied to the AI buildout. Much of the hiring surge depends on continued investment in AI infrastructure, an industry known for volatility and rapid shifts in spending.Data centre construction slowed in some areas last year because of zoning restrictions, permit delays, power shortages, and rising material costs. Outside AI infrastructure, broader non-residential construction spending has remained relatively flat since 2024.Industry economists have also warned that tariffs, inflation, and labour shortages could weaken momentum across the construction sector.Workers involved in building AI facilities may also face project-based employment cycles, where jobs disappear once construction is completed unless new projects continue to emerge.


A shift in how the tech industry views labour

Huang’s message reflects a wider transformation inside the technology industry itself. For decades, Silicon Valley celebrated software engineering as the defining job of the future. Now, some of the world’s biggest tech executives are openly acknowledging that the AI revolution also depends on the people physically building the infrastructure behind it.The next generation of high-paying AI jobs, Huang suggested, may not only belong to programmers sitting behind computer screens. They could also belong to the electricians wiring vast server farms, the plumbers designing advanced cooling systems, and the technicians keeping the AI economy running around the clock.

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