AI data center construction costs have skyrocketed to an average of $488 per square foot in 2026, with specialized AI-optimized facilities exceeding $1,100 per square foot. This represents a dramatic shift from just six years ago, when the industry was spending far less on infrastructure. The surge reflects a fundamental change in how companies are building facilities to support artificial intelligence workloads, which demand far more electrical power and sophisticated cooling systems than traditional data centers.

What's Driving Data Center Construction Costs to Record Levels?

The explosion in data center construction spending tells a striking story. In the United States, construction starts totaled $14.9 billion in 2023, jumped to $26.9 billion in 2024, and soared to $77.7 billion in 2025, a 190 percent year-over-year increase. Since 2021, the sector has doubled annually, achieving a four-year compounded annual growth rate of 98 percent. This acceleration is directly tied to the AI boom that began with the launch of ChatGPT in late 2022.

The cost per square foot has climbed dramatically. Between 2020 and 2025, construction costs surged from $183 per square foot to $415, eventually hitting $1,033 per square foot by the end of 2025, reflecting an annual growth rate of nearly 18 percent. Looking ahead, 2026 is expected to bring further increases, with a mid-point estimate of $488 per square foot. However, the picture becomes even more striking when examining cost per megawatt of power capacity. Standard enterprise facilities are forecast to cost approximately $11.3 million per megawatt in 2026, a 6 percent increase over 2025, while AI-optimized facilities equipped with advanced liquid cooling and high-density electrical systems are expected to cost $20 million or more per megawatt.

How Are Power Demands Reshaping Data Center Design?

The fundamental reason for these cost increases lies in the power requirements of modern AI workloads. Traditional data center racks used 5 to 10 kilowatts of power, but AI compute racks now require 40 to 130 kilowatts, a tenfold increase in some cases. This shift has completely transformed how developers approach site selection and facility design. Power availability has overtaken location and land costs as the top factor for site selection, forcing companies to look beyond saturated technology hubs like Northern Virginia to emerging markets in Ohio, Louisiana, and Wisconsin, where grid capacity is still available.

To handle these extreme power densities, data centers must now incorporate liquid cooling systems and advanced electrical infrastructure that traditional facilities never needed. These specialized systems add significant cost to construction but are essential for preventing equipment from overheating under continuous AI workloads.

What Are the Key Cost Drivers Beyond Materials?

While material costs are rising modestly at 2 to 4 percent annually, they are no longer the primary concern for developers. Instead, labor shortages have emerged as the biggest cost driver. Peak crew sizes for large data center campuses are reaching 4,000 to 5,000 workers, creating intense competition for skilled construction talent across the industry.

"Material prices are unlikely to deliver either a shock or reset in 2026. Labor costs are still exerting far greater pressure on project budgets than materials," explained Brad Werner, Partner and National Leader of Construction and Real Estate at Wipfli.

Brad Werner, Partner and National Leader of Construction and Real Estate at Wipfli

Beyond labor and materials, power infrastructure delays represent a critical bottleneck. Lead times for large transformers now extend up to 72 months, with costs for power transformers rising by 77 percent and distribution units by as much as 95 percent since 2019. These supply chain pressures have established a new baseline for the industry and are extending overall construction timelines by 24 to 72 months in some areas.

How Are Developers Managing These Escalating Costs?

• Modular Construction: Developers are adopting modular construction techniques that allow components to be built in parallel rather than sequentially, reducing overall project timelines and labor costs.
• Pre-Purchasing Critical Components: Companies are securing long-lead items like transformers and electrical equipment well in advance to avoid delays and lock in current pricing before further increases occur.
• Strategic Location Selection: Rather than competing for limited power and labor in traditional tech hubs, developers are shifting to regions with more accessible power infrastructure and available workforce capacity.

The market's growth trajectory shows no signs of slowing. The data center construction sector is projected to grow 24.9 percent in 2026, with the sector's valuation climbing from $48.18 billion in 2024 to $112.33 billion by 2030. The average cost of a data center project rose to $597 million in the 12 months ending November 2025, compared to $374 million the prior year, underscoring the scale of investment required to build modern AI infrastructure.

What Does This Mean for Communities Hosting Data Centers?

The rapid expansion of data center construction is not without controversy. In Michigan, residents and local officials are pushing back against a proposed $1.25 billion research computing center being developed in partnership between the University of Michigan and Los Alamos National Laboratory. The project has sparked significant community concern, with township officials and residents expressing opposition at public meetings.

Township Supervisor Brenda Stumbo voiced skepticism about the university's characterization of the facility as a research center rather than a commercial data center, stating that the distinction does not change the fundamental nature of the project. Residents raised concerns about the project's connection to Los Alamos National Laboratory, fearing it could make the community a target for attacks. The University of Michigan has stated that the center would use less than one-tenth the energy of a typical commercial data center and would not involve weapons manufacturing or hazardous nuclear materials on-site.

The Michigan case illustrates a broader tension in the data center boom. While these facilities are essential for advancing AI research and supporting digital infrastructure, communities are increasingly demanding transparency and input into decisions that will affect their local power grids, labor markets, and quality of life. As data center construction continues to accelerate, this balance between economic opportunity and community concerns will likely shape where and how the next generation of AI infrastructure gets built.