From AI to infrastructure: Construction’s expanding role in data centers

Data center construction emerged as one of the strongest sectors in an otherwise uneven construction market during 2025, and momentum is accelerating into 2026. Driven by rapid adoption of artificial intelligence and cloud computing, major technology firms have committed hundreds of billions of dollars to new facilities across the United States and beyond. Credit agencies now project up to $3 trillion in global data center investment over the next five years, reflecting unprecedented demand for computing capacity.

For contractors, these projects offer more than just large contracts. Data centers are redefining construction workflows, schedules, power coordination, and risk profiles. Unlike conventional commercial buildings, they demand extreme reliability, rapid delivery, and integration with power, cooling, and digital infrastructure at a scale few sectors require.

While hyperscale facilities attract the most attention, much of the construction opportunity lies outside the data center shell itself. Grid upgrades, substations, transmission lines, access roads, water infrastructure, and logistics hubs are increasingly critical components of AI-driven developments. This creates entry points for civil, utility, electrical, and specialty contractors, including firms that would not traditionally compete for large vertical builds.

As utilities race to expand grid capacity for energy-intensive AI workloads, construction activity around data centers is often larger in scope than the buildings they serve. Firms that position themselves as infrastructure partners rather than just builders stand to benefit from longer project pipelines and repeat work.

Artificial intelligence is reshaping construction in two parallel ways. First, it is driving demand for data centers and associated infrastructure. Second, it is transforming how contractors estimate, schedule, manage risk, and control costs. AI-enabled tools are increasingly embedded in estimating platforms, scheduling software, safety systems, and document control environments.

Larger contractors are already integrating internal AI tools, while smaller firms are beginning to adopt off-the-shelf solutions that improve bidding accuracy, proposal quality, and administrative efficiency. However, firms overly exposed to data center work face concentration risk if investment slows or valuations correct. Balanced portfolios and adaptable skill sets remain critical.