MUMBAI: The next AI gold rush may not begin behind a keyboard it could start with a hard hat. As the world races to build the digital backbone of artificial intelligence, Nvidia chief executive Jensen Huang believes the biggest winners may not be software engineers alone, but electricians, plumbers, steelworkers and construction crews laying the foundations of the AI age.
Speaking during a conversation with BlackRock chief executive Larry Fink at the World Economic Forum in Davos earlier this year, Huang described the global race to build AI data centres, chip factories and computer factories as the “largest infrastructure build-out in human history”, arguing that it will unlock a wave of well-paid skilled trade jobs.
Huang said many of these roles could command six-figure salaries without requiring a computer science doctorate, adding that people should be able to build rewarding careers through skilled trades. He stressed that AI infrastructure depends as much on electricians, plumbers, construction workers and steelworkers as it does on software developers and chip designers.
The optimism comes as demand for skilled labour is already beginning to outpace supply. According to estimates cited from McKinsey, the United States alone will require an additional 130,000 electricians, 240,000 construction labourers and 150,000 construction supervisors between 2023 and 2030 to keep pace with AI-driven infrastructure projects.
Huang has consistently argued that the boom will not be short-lived. Referring to an earlier interview with Channel 4 News in the UK, he said the skilled craft segment of every economy is likely to experience sustained growth as governments and technology companies accelerate investments in AI infrastructure.
His comments stand in contrast to concerns from Ford chief executive Jim Farley, who has warned that AI is eroding traditional white-collar entry-level roles even as demand for blue-collar talent continues to surge. Fink echoed a similar concern, cautioning that a shortage of electricians could become one of the biggest bottlenecks in building the AI data centres needed to power the technology’s rapid expansion.
Together, the remarks underscore a growing shift in the AI economy. While headlines often focus on chips, chatbots and coding, the industry’s next chapter may ultimately be written by the people wiring servers, laying steel and keeping the lights on.
