For years, the debate over artificial intelligence and employment has centered on a grim question: which jobs will disappear first? But in one corner of the economy, the AI boom is producing a different answer entirely. It is generating work — and in some cases, very well-paid work — for the tradespeople building the physical backbone of the technology revolution.
Across the United States, the construction and maintenance of data centers and the wider AI ecosystem are driving demand for HVAC technicians, construction workers, line workers, pipefitters, electricians and other skilled labor. These are the workers needed not just to erect the massive server farms that power companies such as Anthropic, Meta, Amazon and OpenAI, but also to upgrade the energy grid, modernize transportation links and install the cooling, piping and electrical systems that keep the facilities running.
"These are occupations that are becoming increasingly important to the AI economy," said Maria Flynn, president and CEO of the national nonprofit Jobs for the Future. While data centers tend to dominate public discussion, Flynn said they are only one part of a much larger infrastructure puzzle. "We are seeing major sources of demand that are converging at the same time," she said.
That convergence is showing up in wages. Flynn said an apprentice-level technician can earn $40,000 to $60,000, while experienced electricians can command more than $100,000. For many workers, those pay levels represent a meaningful step up from traditional blue-collar employment, especially in regions where industrial work has thinned and manufacturing has shifted.
The labor market data suggest the boom is not just anecdotal. Nicole Bachaud, a labor economist at online employment marketplace ZipRecruiter, said the mean minimum salary for data center jobs jumped 125.1% year over year to nearly $208,000. That figure is being pulled higher by highly specialized engineering roles, she said, underscoring how the AI buildout is creating a layered labor market with both elite technical jobs and a broader base of skilled trade work.
"This is suggesting that highly specialized, top-tier engineering roles are pulling the overall average up drastically," Bachaud said.
Among blue-collar workers, the strongest gains are showing up in trades that are essential to the physical construction of data centers. Bachaud said postings for welders and pipefitters are up 164% year over year. She cautioned that the figure may partly reflect a relatively small sample size as more projects come online, but said the direction of travel is clear: even if each facility needs only a handful of pipefitters, the cumulative demand rises quickly as the number of projects multiplies.
The geography of the boom is uneven. Houston and Birmingham have seen particularly robust growth, Bachaud said, reflecting a broader pattern in which expansion is gravitating toward places with more land, lower costs and fewer regulatory hurdles. "Places with more land to expand and build, which are often places where building regulations make development easier, cheaper, and faster, will likely be where expansion continues, versus coastal hubs that have higher costs and more regulatory burdens," she said.
That means the labor market for a pipefitter or electrician may look very different in Birmingham than in Boston. In faster-growing markets, workers may have more bargaining power and more employers competing for their skills. In higher-cost coastal cities, the economics of data center development can be more constrained, even as demand for digital infrastructure remains intense.
Justin Sinkovich, associate professor and associate director of the School of Business and Entrepreneurship at Columbia College Chicago, said the current AI jobs narrative is incomplete if it focuses only on displacement. In his view, the buildout of AI infrastructure is itself a major employment engine. AI may automate some tasks, he said, but it still depends on a vast physical network that machines cannot construct on their own.
"Positive effects on the labor market are already visible, with an increased demand for cooling and HVAC engineers, industrial automation technicians, and traditional trade workers like construction workers and electricians," Sinkovich said. "HVAC-engineering wages have risen, and many technical professionals entering data-center roles are seeing a pay premium."
He pointed to Louisiana as a prominent example, where Amazon and Meta have major projects underway. The state illustrates how the AI economy is spreading beyond the traditional tech hubs and into regions with available land, industrial capacity and utility infrastructure. But it also highlights the scale of the challenge: every new facility requires power, water, cooling and transmission capacity, all of which must be built, maintained and often expanded before the servers can even come online.
That is where the story could turn. The same data center expansion now creating jobs for tradespeople is also beginning to generate backlash over energy use, land consumption, water demand, local congestion and the strain on power grids. If communities, regulators or utilities push back harder, the pipeline of projects could slow — and with it, the blue-collar hiring surge that has become one of the AI boom's most unexpected side effects.
For now, though, the labor market signal is clear: the AI era is not only rewarding software engineers and researchers. It is also paying electricians, welders, pipefitters and HVAC specialists to build the physical world that makes artificial intelligence possible. The question is whether that boom can last if the infrastructure it depends on becomes a political target.