Data center demand and rising costs define commercial construction in early 2026

Data center construction demand jumped sharply in the first quarter of 2026, and it is pulling specialized labor and materials away from the broader commercial market at a pace that is complicating schedules and budgets across sectors. That is the headline finding from the Q1 2026 Commercial Construction Index published by CBIZ, which tracks conditions across the U.S. commercial construction market each quarter.

The index points to four forces defining the current environment: accelerating data center work, chronic labor shortages, climbing material prices, and the knock-on effects each has on the other. For project owners, developers, and the facilities and procurement teams that support them, those forces are not abstract. They show up in bid prices, subcontractor availability, and delivery windows.

Data centers are absorbing specialized capacity

Hyperscale and enterprise data center development has been running hot for several quarters, and Q1 2026 was no exception. The surge in AI infrastructure investment has created a durable pipeline of large, complex projects that demand electrical, mechanical, and structural trades at scale. When those crews are committed to data center sites, they are not available for hospitals, offices, or manufacturing facilities competing for the same talent.

That capacity crunch extends to materials. Power distribution equipment, specialty steel, and cooling systems are all subject to longer lead times when data center developers are placing large orders ahead of schedule. Commercial construction buyers who have not built procurement buffers into their project timelines are feeling that pressure directly in Q1 results.

Labor shortages are not easing

The CBIZ index reinforces what most project managers already know: the skilled trades shortage is not a short-term problem. Demand for electricians, pipefitters, ironworkers, and concrete specialists continues to outpace the qualified workforce, and the data center boom is intensifying that imbalance rather than creating conditions that would resolve it.

For operators managing construction programs, the practical consequence is schedule risk. Subcontractors with strong books of business have less incentive to compress timelines or hold bids open long. Project owners who treat labor availability as a fixed assumption are consistently surprised by the reality on the ground.

Material costs keep the pressure on

Alongside labor, material costs continued rising through Q1 2026 according to the CBIZ report. Cost escalation is not uniform across categories, but the directional trend is consistent enough that fixed-price assumptions in project budgets carry real risk. Teams that locked in pricing late in the design or pre-construction phase are better positioned than those still estimating off older benchmarks.

The combination of labor and material cost pressure is compressing margins for general contractors and creating difficult conversations with owners about scope, schedule, and contingency. Procurement and finance teams that stay close to current market indices, rather than relying on historical cost data, are making better-informed go/no-go and value-engineering decisions.

What this means for your team

• Audit subcontractor availability early: in markets where data center work is concentrated, specialty trades are thinly available. Begin outreach and pre-qualification well ahead of typical lead times.
• Revisit material procurement strategy: evaluate whether escalation clauses, early buy programs, or alternative suppliers can reduce mid-project cost exposure given continued price increases identified in Q1 2026.
• Stress-test project schedules against labor assumptions: build in float for trades in high demand, and identify which scopes are most vulnerable to subcontractor scheduling conflicts.
• Use current market indices for budgeting: the CBIZ Commercial Construction Index and comparable benchmarks should inform live budget assumptions, not replace them with figures from prior cycles.