U.S. Commercial Construction Is Slowing. Data Centers Are Driving the Growth.

In 2026, U.S. commercial construction is no longer moving in one direction. Most major property categories are slowing under the weight of higher financing costs, tighter capital discipline, and uneven tenant demand. Office development remains constrained by elevated vacancy levels. Multifamily construction is moderating after record deliveries in 2023 and 2024. Hotel projects are selective and highly rate-sensitive. Warehouse growth has normalized following pandemic-era expansion.

At the same time, one segment is expanding aggressively: data centers.

Spending on U.S. data-center construction is projected to increase roughly 20 to 25 percent in 2026. Just three years ago, data centers represented about 2 percent of total nonresidential construction activity. Today, they account for more than 6 percent. In a market where total annual nonresidential construction spending is approximately $850 billion, nearly all real growth is concentrated in digital infrastructure.

This is not a short-term surge. It reflects a structural reallocation of capital toward AI, cloud computing, and energy-intensive digital capacity.

Why Data Centers Are Expanding While Other Sectors Pause

The primary driver is artificial intelligence.

Training advanced AI systems requires thousands of high-performance processors operating simultaneously. Running AI applications across consumer platforms, enterprise software, healthcare systems, and financial networks requires enormous computing power at scale. These workloads consume significantly more electricity per unit of output than traditional web hosting or enterprise IT systems.

A modern U.S. data center may require 100 to 200 megawatts of electricity in its initial phase. Some campuses under development exceed 300 megawatts, with multi-phase master plans that could push total capacity much higher. To put that in perspective, 100 megawatts can power tens of thousands of homes.

Large U.S.-based technology companies are investing tens of billions of dollars annually into AI-related infrastructure. Combined capital expenditures across major cloud and AI operators are measured in the hundreds of billions over multi-year periods. These investments are directly tied to revenue growth, enterprise demand, and global competition in AI capability.

In contrast to office or multifamily construction, which depends heavily on leasing absorption and market cycles, data-center development is driven by capacity commitments and long-term service contracts. The cost of delayed capacity is often viewed as greater than the cost of construction inflation.

Why the Buildout Is Concentrated in the United States

A large share of new global data-center capacity is being built within the United States for strategic and practical reasons.

Energy economics play a central role. States such as Texas, Virginia, Ohio, Arizona, and parts of the Midwest offer competitive industrial electricity rates, available land parcels, and regulatory environments capable of supporting large-scale infrastructure projects. These markets have emerged as core digital infrastructure hubs.

Data sovereignty and national security considerations are also increasingly important. AI systems support defense, financial services, healthcare, and government operations. Locating core computing infrastructure within U.S. jurisdiction reduces geopolitical exposure and regulatory uncertainty.

In addition, semiconductor manufacturing is expanding domestically. As chip fabrication facilities scale in the United States, proximity between production, research clusters, and large-scale computing infrastructure becomes strategically valuable.

Finally, U.S. capital markets provide the depth and liquidity necessary to finance multi-billion-dollar campuses without excessive reliance on high-cost debt. Institutional capital views stabilized data centers increasingly as infrastructure assets rather than traditional commercial real estate.

Cost Structure: Cost per Megawatt Defines the Economics

In traditional commercial real estate, developers focus on cost per square foot. In data centers, cost per megawatt is the key metric.

Over the past five years, U.S. data-center construction costs have risen from approximately $7 to $8 million per megawatt to roughly $10 to $11 million per megawatt. Rising electrical equipment costs, cooling system complexity, labor inflation, and supply-chain constraints have driven much of this increase.

A 200-megawatt campus at $10 million per megawatt represents a $2 billion capital commitment before land acquisition and financing costs. The majority of that capital is allocated to electrical infrastructure, substations, transformers, backup generation systems, and advanced cooling systems rather than architectural finishes or tenant customization.

This shifts value toward contractors with deep electrical engineering capabilities and supply-chain relationships rather than firms focused primarily on structural shell construction.

Electricity Is the Primary Constraint

In 2026, the main constraint on U.S. data-center expansion is not financing or land availability. It is electricity.

In several states, developers can secure land and local approvals faster than they can secure reliable grid interconnection. Utilities are revising long-term load forecasts upward as projected data-center demand exceeds earlier estimates. Transmission upgrades, new substations, and expanded generation capacity are increasingly required before projects can proceed.

Developers are negotiating long-term power purchase agreements and, in some cases, investing in dedicated substations, battery storage, or on-site generation solutions. In competitive markets, time to power has become a defining factor in site selection.

Regions capable of expanding grid capacity efficiently are attracting disproportionate investment. Regions with limited transmission infrastructure or slow regulatory processes risk losing projects to more energy-ready states.

Labor and Equipment Pressures

Even with strong demand, construction capacity remains finite.

Data centers require large numbers of electricians, mechanical system installers, and commissioning engineers. Skilled trades are already in short supply across much of the United States. Industry surveys indicate that a significant share of construction firms report labor shortages, particularly in electrical trades.

In markets where multiple billion-dollar data-center projects operate simultaneously, wage pressure increases and subcontractor availability tightens. Competing commercial projects, including healthcare and industrial facilities, may experience longer timelines and higher bids as labor is diverted toward digital infrastructure.

Equipment procurement presents additional challenges. Transformers, switchgear, and high-capacity generators have experienced extended lead times compared with pre-2020 conditions. When multiple large campuses place orders concurrently, equipment delivery schedules can become binding constraints.

In this environment, execution reliability and procurement strength matter more than incremental cost savings.

Impact on the Broader U.S. Construction Market

When adjusted for inflation, nonresidential construction outside of data centers is expected to show little or no real growth in 2026. Financing remains expensive relative to recent history. Tenant demand remains uneven in certain property categories. Developers are increasingly disciplined in capital deployment.

Meanwhile, data centers are absorbing a growing share of national construction capacity. In regions with concentrated digital infrastructure development, labor and equipment are pulled toward these projects, affecting the broader commercial ecosystem.

States that align workforce training, utility expansion, and regulatory clarity are positioning themselves as long-term infrastructure hubs. Construction employment rises. Utility capital expenditures increase. Secondary development in logistics and industrial sectors often follows.

Strategic Implications

The divergence between slowing commercial categories and expanding data-center construction reflects a broader economic shift. Compute capacity has become foundational infrastructure, similar in importance to telecommunications networks or transportation systems in earlier decades.

For construction firms, specialization in electrical systems, cooling integration, and complex commissioning is becoming increasingly valuable. For developers, energy access and interconnection timelines must be evaluated before land pricing considerations. For investors, underwriting models must incorporate rising cost per megawatt, energy contract stability, and execution risk.

U.S. commercial construction is not broadly expanding in 2026. It is reallocating toward digital infrastructure.

Data centers are no longer a niche asset class. They are becoming one of the central growth engines within the U.S. construction market, reshaping labor markets, energy planning, and capital allocation decisions for the remainder of the decade.