KEY POINTS
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A new Randstad USA analysis says the U.S. push to scale AI is accelerating demand for the workers who build and maintain its physical backbone, including HVAC engineers, electricians, welders, robotics technicians, and automation specialists.
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Randstad found hiring pressure is rising fastest in trade roles tied to data centers, power systems, and automated production.
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In one notable shift, the average time-to-hire for skilled trades reached 56 days, edging past the 54-day average for desk-based professionals.
A new Randstad USA report found that the rush to scale artificial intelligence (AI) is producing a labor challenge. Randstad said in a recent press release that demand for the skilled trades powering the current AI buildout is now outpacing professional roles.
The company’s analysis of more than 150 million U.S. job postings from 2022 through 2026 found that demand for several trade and trade-adjacent roles rose faster than many white-collar positions as employers expanded data infrastructure, energy capacity, and automated production.
That matters for construction because AI growth is not only a computer story. It is also a buildout story involving data centers, power upgrades, cooling systems, controls, and industrial facilities, all of which depend heavily on construction labor.
Where Trade Demand is Climbing Fastest
Randstad said the sharpest increases in trade demand appeared in technical roles tied to automation and building systems.
Among the largest gains:
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Robotics technicians: vacancies up 113.19%
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HVAC engineers: demand up 77.89%
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Industrial automation roles: demand up 51%
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General trades: demand for electricians, welders, and construction specialists up an average of 30%
Taken together, those figures suggest employers are competing aggressively for the workers needed to install, commission, operate, and maintain the systems behind AI expansion.
For construction markets, the HVAC and general trades identified stand out. Data centers require large volumes of power distribution equipment, cooling capacity, controls, and ongoing facility support. Manufacturing facilities adding automation bring a similar need for electricians, technicians, and specialty contractors.
[Read more about the AI expansion from ConstructConnect Economists Michael Guckes and Devin Bell in the April 2026 Data Center Report: Extraordinary Growth Continues]
Hiring is Now Harder for Some Construction Trades than for Software Roles
Randstad’s report identified a notable reversal in hiring difficulty. "It is now more difficult and time-consuming to hire an HVAC professional and electrician than a software developer," Randstad stated.
The average time-to-hire for a skilled trades worker reached 56 days, compared with 54 days for a group Randstad categorized as desk-based professionals.
“While much of the conversation surrounding AI focuses on job displacement, we're overlooking the demand it's creating for the skilled trade workforce,” Greg Dyer, chief commercial officer of Randstad North America, said in the report.
“AI can't build data centers, upgrade power grids, or maintain its own infrastructure.”
Dyer added that because trade work is becoming more specialized and digital-first, employers and policymakers need to treat those careers as a priority and invest in education, upskilling, and training.
The Labor Pipeline is Not Keeping Pace
The report points to the additional labor problem of attrition. According to Randstad, manufacturing, one of the feeder sectors for skilled trades talent, is losing workers faster than it is replacing them.
Additionally, for every 100 young workers entering the trade sector, 102 are exiting, equal to an annual decline of 1.72%.
That imbalance suggests the hiring challenge is not only cyclical. It also reflects a longer-term workforce pipeline issue at a time when demand for trade labor is becoming more specialized and more digitally intensive.
Skilled Trades as the "Engine and the Bottleneck" for AI Growth
For contractors, project owners, building product manufacturers and suppliers, the Randstad findings reinforce a reality already visible across parts of the market. That is, AI growth will depend as much on labor availability as on technological capability.
Skilled construction trades are both the "the engine and bottleneck, threatening AI-powered growth," according to Randstad.
The growth in data center construction, strengthening of the power grid, and shift toward automating more industrial operations is likely to keep pressure on core construction trades and technical building-system roles. If the labor pipeline remains tight, those shortages could affect project timing, pricing, and capacity in nonresidential construction.
Randstad said its U.S. findings are part of a broader global study of job-posting trends between the 2022 to 2026 period. The Netherlands-based staffing company operates in 39 markets and has approximately 38,000 employees.
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