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AI Is Hiring Electricians: What the Data Center Boom Means for Your Family's Career Math

The AI boom's most reliable new jobs are in the skilled trades. What data center construction pays, which trades are in demand, and how it changes the college math.

July 24, 20266 min read

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Ask most families what an AI career looks like and they picture a computer science degree. Right now, though, some of the most reliable jobs created by the AI boom do not involve writing code at all. They involve bending conduit, welding pipe, and pulling fiber. The companies building artificial intelligence need data centers, data centers are massive construction projects, and there are not enough tradespeople to build them.

If you have a student deciding what comes after high school, this shift matters for the math behind that decision. Here is what is happening and what it means for your family.

The numbers behind the boom

The scale of data center construction is hard to overstate. Fortune reports that Meta alone plans to spend roughly $600 billion on U.S. data centers and AI infrastructure through 2028. Amazon announced a $12 billion investment in its first Louisiana data center campuses in February 2026, which the company says will create more than 2,000 jobs. Microsoft, Google, and Oracle have their own multibillion dollar buildouts underway.

All of that construction needs workers the industry does not have. Associated Builders and Contractors, a national construction trade group, estimated the industry needed to attract 439,000 new workers in 2025 and roughly 350,000 more in 2026 to keep up with demand. Electricians, pipe layers, and HVAC technicians top the shortage list, and those are exactly the trades data centers require.

What the jobs actually pay

The Bureau of Labor Statistics reports that the median electrician earned $62,350 a year as of May 2024, with employment projected to grow 9 percent from 2024 to 2034, much faster than average, and about 81,000 openings per year over the decade. Data center technicians average about $54,000 a year nationally, according to Fortune.

Those are median and average figures for workers at all experience levels. Entry pay is lower and experienced specialists earn more. Our trade guides break down the ranges: Is Electrician Training Worth It in 2026? and the broader Skilled Trades Careers Guide cover cost, training time, and earnings by trade.

Tech companies are now paying for the training

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The clearest sign this shortage is real: the companies are funding trade school themselves. Meta launched America's Workforce Academy in June 2026, a free five-week bootcamp with a guaranteed job for every graduate, backed by $115 million in first-year funding. Demand was immediate. Meta's earlier fiber technician program drew 35,000 applications for 1,000 spots in its first week.

Meta is not alone. Microsoft runs its Datacenter Academy through more than 20 U.S. community colleges, Google pays participants in its Skilled Trades and Readiness Program in six states, and Amazon supports tuition-free training through the nonprofit Per Scholas. We compare all of them in our guide to Big Tech trade training programs, and our family guide to America's Workforce Academy covers Meta's program in detail.

When employers this large start paying people to learn a trade, they are telling you something about where the jobs are.

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Which trades the boom needs most

Not every trade benefits equally from data center construction. Based on the shortage data and the trades these projects hire for, the most direct beneficiaries are:

  • Electricians. Data centers are, at their core, giant electrical systems. Electricians top ABC's shortage list, and the BLS projects faster than average growth for the occupation through 2034.
  • HVAC technicians. Every server hall needs industrial cooling, and HVAC roles run through both construction and long-term operations.
  • Fiber and low-voltage technicians. Connecting a data center to the world takes enormous amounts of fiber. This was the focus of Meta's first training program, and it remains one of the fastest trades to enter.
  • Pipefitters and plumbers. Liquid cooling systems in modern AI data centers have made pipe trades more important, not less.
  • Welders and sheet metal workers. Structural and mechanical work on these projects runs for years per site.

There is also a difference worth understanding between construction jobs, which build the facility and then move to the next project, and operations jobs like data center technician, which stay with the building long term. Construction typically pays more per hour; operations offers more location stability. A student should know which side of that line a given training program feeds.

What this changes about the college decision

For decades, the standard advice was simple: more school means more money. That is still true on average. College graduates as a group out-earn workers without degrees over a lifetime, and nothing about the data center boom erases that.

What has changed is the floor. A young person can now reach a solid middle-class wage at 19 or 20 with zero education debt, sometimes with free training and a job guarantee attached. That makes the real question sharper for every family: not "is college good," but "is this specific college, at this specific net price, with this specific amount of borrowing, better than the alternative for my specific student?"

Consider what each path looks like by age 22. The trades-first student has three to four years of earnings, work experience, and no loans. The college student has a degree and the stronger long-term earnings trajectory that can come with it, but may also carry $27,000 or more in federal loans and is just starting work. Neither is automatically better. The comparison depends on the major, the school's net price, the student's interests, and how much borrowing the family can truly handle. Our guide on how to compare a four-year degree vs. a trade program walks through it step by step.

Three cautions before anyone changes plans

  1. Booms end. Data center construction is tied to AI investment, and investment cycles turn. Favor programs that grant portable credentials (NCCER, CompTIA, state licenses) that keep their value if a project stops.
  2. The trades are physical work. Job sites, weather, and physical demands are real. A student should shadow a tradesperson or try a pre-apprenticeship before committing.
  3. This is not either-or. Many workers earn a trade credential first, then use employer education benefits to finish a degree later without borrowing. Employers can put up to $5,250 a year toward an employee's education, a benefit we cover in our employer education benefit guide.

Run your own numbers

Headlines do not pay tuition bills, and averages do not describe your student. If college is on the table, start with the real cost. Create your free CollegeLens plan to see your family's actual net price, how much you would borrow, and what the monthly payment looks like after graduation. Put that next to a trade path with real wage numbers from our guides. Then decide with both sets of numbers in front of you.

-- Sravani at CollegeLens

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Frequently Asked Questions

What trades do AI data centers need most?

Electricians, HVAC technicians, fiber and low-voltage technicians, pipefitters, plumbers, welders, and sheet metal workers. Associated Builders and Contractors estimated the construction industry needed 439,000 new workers in 2025, with electricians and HVAC technicians among the hardest roles to fill.

How much do data center trade jobs pay?

The Bureau of Labor Statistics reports the median electrician earned $62,350 as of May 2024, with 9 percent projected growth through 2034. Fortune reports data center technicians average about $54,000 a year nationally. Entry pay is lower and experienced specialists earn more.

Does the data center boom mean skipping college?

Not necessarily. College graduates still out-earn non-graduates on average over a lifetime. The boom raises the floor of the no-degree path, so families should compare a specific college's net price and borrowing against a specific trade path instead of assuming either answer.

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