Key Takeaways

  • Meta is allocating $115 million to train roughly 5,000 people during the first year of America’s Workforce Academy.
  • Google is investing $50 million to expand annual electrical apprenticeship intake from 19,500 to 30,000 over three years.
  • BlackRock has committed $100 million to skilled-trades training as data center construction intensifies in Texas and other markets.

Meta, Google and BlackRock are collectively committing $265 million to expand the skilled workforce behind hyperscale data centers, targeting a labor constraint that could slow the rollout of artificial intelligence infrastructure.

The commitments show that AI investment is moving well beyond processors, networking equipment and software. Electricians, plumbers and other construction specialists have become strategic resources. Without enough qualified workers, access to capital and computing hardware only goes so far.

Meta is putting $115 million into the first year of America’s Workforce Academy, an ongoing, multiyear training effort. The company expects to enroll around 5,000 people initially in four- to five-week programs. Transportation and housing are covered, reducing two practical barriers that often prevent workers from joining training programs far from home.

After completing the course, participants move directly onto data center construction sites operated by Meta contractors. That job-site connection matters. Short introductory courses are not substitutes for full apprenticeships or trade credentials, but they can provide an entry point into supervised work while helping contractors fill immediate staffing gaps.

As The New York Times reported, Google is directing $50 million through the IBEW and Electrical Training Alliance. The goal is to increase yearly apprenticeship intake from 19,500 to 30,000 over three years, with activity concentrated in markets Google has identified as priorities.

That approach tackles a different part of the pipeline. Meta’s program emphasizes rapid preparation and placement, while Google is supporting established apprenticeship infrastructure and contractor networks. Together, the models illustrate how infrastructure developers can address both near-term site demand and the longer process of producing licensed, experienced electricians.

BlackRock, meanwhile, has committed $100 million to expand skilled-trades training for data centers in Texas and nationally. Texas has emerged as a major data center construction market because of its available land, energy industry and growing digital infrastructure footprint. It is also a place where multiple large projects can compete for the same contractors and workers.

Electrical labor is a major expense, with electrical systems accounting for an estimated 45% to 70% of total data center construction costs, according to IBEW data cited by Fortune. High-density AI clusters require extensive power distribution, backup generation, cooling support and redundancy. The work also has to comply with NFPA 70, commonly known as the National Electrical Code, as well as project-specific reliability requirements informed by the Uptime Institute’s Tier Classification System.

The labor gap is substantial. The United States faces an estimated annual shortfall of about 81,000 electricians from 2024 through 2034, while electrician employment is projected to grow 9%, significantly faster than average. McKinsey has separately projected that data centers and advanced manufacturing will require an additional 130,000 electricians by 2030.

Why are technology companies financing training instead of leaving recruitment to construction contractors? Scale is one answer. A contractor can hire for an individual project, but Meta and Google are planning infrastructure across multiple regions and years. Investing in training can help create a more predictable labor pool around those locations.

The shortage also extends beyond one occupation. Wired has examined the limited supply of electricians and plumbers available for AI data center construction, highlighting a mismatch between infrastructure ambitions and the time required to develop skilled tradespeople. Oracle and Amazon are also increasing hiring around AI data center projects, adding pressure to already busy regional labor markets.

Still, training volume alone will not resolve the bottleneck. Programs need instructors, contractor participation, supervised job-site hours and clear paths toward recognized credentials. Retention will count too, particularly when projects require travel or operate in markets with high housing costs.

For data center developers and their suppliers, workforce capacity is becoming another planning variable alongside power availability, permitting and equipment lead times. Meta, Google and BlackRock are effectively treating labor development as infrastructure investment. That shift suggests the electrician shortage is not a temporary hiring spike. It is becoming part of the economics of building AI at scale.