The explosive growth of data centers to support artificial intelligence is straining the engineering labor market. AI data center construction and operation require large teams of engineers, technicians, and skilled tradespeople, but the supply of qualified workers is failing to keep pace with demand. As operators plan facilities that will draw gigawatts of power and house advanced computing infrastructure, they face shortages in electrical, mechanical, and civil engineers, as well as specialists in power, cooling, and construction management, tells IEEE Spectrum.
Energy demand in the United States from data centers could reach 106 gigawatts by 2035, according to BloombergNEF, intensifying competition for engineers with grid utilities, manufacturing, renewables, and construction sectors. Applied Digital, a major data center developer, reports widening its recruitment reach to attract talent from nuclear, aerospace, and military sectors where power and cooling expertise is available. Data center managers report increasing demand for multi-skilled operators and engineers. The U.S. Bureau of Labor Statistics projects nearly 400,000 additional construction workers by 2033, including tens of thousands of electrical and electronics engineers—a critical pipeline for data center builds.
The talent gap is not limited to engineering roles. Skilled HVAC, high-voltage power systems technicians, and MEP (mechanical, electrical, plumbing) specialists are in short supply, slowing project timelines and driving up costs. Addressing this gap requires industry coordination with education providers. Technical colleges are launching programs focused on data center systems engineering, facilities operations, and power/cooling skills. Microsoft’s Data Center Academy partners with community colleges, while Google and Amazon support apprenticeships and training in local regions.
Industry associations and manufacturers are also stepping in. Siemens and the National Electrical Contractors Association are expanding apprenticeship programs to bring more electricians and technical workers into the field. With data center growth showing no signs of slowing, expanding educational pipelines and diversifying talent sources remains essential to sustain the AI infrastructure build-out and ensure reliable operation of future digital systems.