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BETTESWORTHConstruction

How Data Center Building Booms Affect Local Construction Costs and Schedules

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Data center construction can intensify competition for skilled trades, specialized equipment and materials, and scarce power or permitting capacity—but the effect is local, uneven, and not automatic. A national building boom does not prove that a particular town has a labor shortage, that a nearby project raised material prices, or that one facility delayed unrelated construction. The practical question is which local trades and supplies are constrained, and whether they sit on a project’s critical path.

How can a data center affect construction in its community?

A data center affects local construction through demand for workers and inputs, plus the infrastructure and approvals needed to build and energize it. Its largest demands may be for specialized mechanical, electrical, and plumbing (MEP) work and power equipment—not simply for generic building materials. When several projects compete for the same crews, suppliers, utility capacity, or permits, the result can be higher quotes or a longer schedule. If those resources are available, a new project need not create a local shortage.

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Effects can differ by trade, project phase, and location. Electrical specialists may be in high demand while other trades have available workers. A community may have sufficient construction labor but limited access to transformers or high-voltage breakers. A building can be physically complete while waiting for grid capacity or utility work. These are separate constraints, and a delay or cost increase should not be attributed to labor alone.

The scale of the broader market helps explain why capacity is a concern, but it does not measure a specific community’s experience. Skanska reported that data centers accounted for 5.4% of U.S. private nonresidential building construction spending in 2025, compared with approximately 1.7% in 2019. CBRE reported 6,350 megawatts (MW) under construction in primary North American data center markets at the end of 2024—more than twice the year-end 2023 amount—and linked extended timelines to power constraints and supply-chain delays. These figures describe national or primary-market activity, not the effect of an individual project on local wages, bids, or schedules. Skanska’s 2026 report announcement and CBRE’s market report provide the respective context.

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Are data center projects making it harder to hire electricians?

They can increase competition for electrical and other MEP skills in markets where projects cluster, but there is no basis for assuming a nationwide or universal local shortage. Worker availability depends on the occupation, location, timing, training pipeline, and the number of competing projects.

Data centers require extensive electrical and mechanical systems, and industry sources describe pressure on skilled MEP labor as development concentrates in particular regions. JLL also reported high demand for data-center project-management staff in the United States and Canada. But a national pattern does not establish the situation in a given county, and labor conditions can change over a project’s multi-year planning and construction period.

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Washington illustrates why local evidence matters. In its preliminary 2025 workgroup report, the state said it had no overall labor shortage for data-center construction, refurbishment, expansion, upgrades, and maintenance at the time assessed. At the same time, Washington State Building and Construction Trades reported nearly 9,955 construction workers out of work at the start of 2025, with 75% of affiliated unions reporting, while IBEW data cited by the workgroup counted 1,000 electricians on data-center-related work and 300 apprentices in training as of July 2025. Those figures come from different measures and dates; they do not prove either that all trades were readily available or that a shortage existed. They show how a state can report available workers overall while data-center work draws on particular occupations and a developing apprenticeship pipeline. The report is Washington’s preliminary data center workgroup assessment; it notes that tribal consultation was in progress.

For a project or neighboring contractor, the useful labor questions are specific: Which trades are needed, when, and in what numbers? How many qualified workers and apprentices are available locally? Are other large projects recruiting the same people during the same period? A project’s labor plan should distinguish an actual shortage in a named trade from general concern about labor capacity.

Do data centers drive up construction costs near me?

They may contribute to competition for particular materials, equipment, or labor, but the available industry-wide figures cannot tell you how much one facility changes prices in its surrounding area. Check the scope and date of any cost statistic: a data-center development-cost measure, an equipment price forecast, and a local construction-material price index are not interchangeable.

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Cushman & Wakefield’s 2026 U.S. Data Center Development Cost Guide reports that development costs rose 21% per MW since its prior report. It gives an average greenfield development cost of $17.6 million per MW for the most modern facilities, while emphasizing variation by market and workload type. These are data-center development figures. The 21% increase is not a claim that local materials—or construction costs for every type of project—rose by 21%. The guide attributes the increase to factors including critical-equipment lead times, rising wages, and material-cost inflation. Read the cost guide and its market qualifications.

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Prices can also be affected by the specialized systems a data center needs. Relevant inputs include generators, chillers, transformers, switchgear, high-voltage breakers, HVAC equipment, steel, copper, and aluminum. A shortage in a component with few available suppliers or limited manufacturing capacity can matter more to a project’s budget and schedule than a change in a widely available commodity. Supplier capacity, the purchase date, specifications, and whether an acceptable substitute exists all affect exposure.

Skanska USA Building’s Summer 2026 report forecast larger-generator prices rising 8–10% in 2026 and HVAC equipment pricing rising 10–12%, depending on manufacturer. It also cited 40–50 week structural-steel lead times in some markets and HVAC-equipment lead times of up to 52 weeks. These are report forecasts and examples, not universal outcomes or current quotes for a specific job. A forecast should not be used as a substitute for a dated bid from the supplier serving the project. Skanska’s report announcement provides the scope and manufacturer qualification.

For a local comparison, look for current supplier quotes, bid tabs or cost indices, escalation clauses, and project-specific purchase dates. Ask whether a quoted price is fixed, how long it remains valid, and what happens if the specified component is unavailable. A national or industry forecast signals possible exposure; it does not establish that a nearby project caused a particular contractor’s price increase.

What materials and equipment are holding data center projects up?

Long-lead electrical and mechanical equipment can be a bottleneck because it must be specified, manufactured, delivered, installed, and integrated before a facility can operate. The exact constraint varies by market and project, so lead-time figures should be treated as warning signs rather than guaranteed delivery dates.

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JLL’s 2024 U.S. midyear construction outlook cited lead times of 120 to 200 weeks for high-voltage circuit breakers in its data-center discussion. That is a reported range from 2024, not a current vendor commitment for a particular breaker. Skanska’s Summer 2026 report gave examples of 40–50 weeks for structural steel in some markets and up to 52 weeks for HVAC equipment. Together, the examples show why procurement planning needs to identify the actual component, supplier, and required delivery date—not rely on a single generic “data center lead time.”

Some inputs are highly specific to the facility’s design and electrical load. Generators, chillers, transformers, switchgear, breakers, and HVAC systems have to meet project requirements and coordinate with other equipment. An alternative may not be interchangeable without design, approval, or schedule consequences. Materials such as steel, copper, and aluminum also matter, but a general price movement in those materials does not on its own reveal whether a project’s critical equipment can be delivered on time.

Owners and contractors can reduce avoidable exposure by identifying long-lead items early, confirming supplier capacity and quoted delivery windows, and deciding whether an approved substitution is possible. Early purchasing can secure a place in a production schedule, but it cannot guarantee a delivery date if manufacturing, transport, or other dependencies change. The project team should keep supplier commitments current and connect each delivery date to the construction schedule.

Why are data center construction projects delayed?

Delays can arise from labor, long-lead equipment, power availability, grid connections, permitting, or commissioning—and several constraints may overlap. A project schedule slips when a dependency on its critical path is late, not simply because one industry-wide pressure exists.

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CBRE tied extended construction timelines in primary North American markets to power constraints and supply-chain delays. JLL’s 2024 outlook described grid-connection timelines of up to three years, as well as the 120–200 week breaker lead-time range. Those reports document market conditions at the time; they are not a guarantee that every site will wait three years for power or that those breaker timelines still apply to a current order. A site’s utility plan, location, equipment order, and permitting status determine its own schedule.

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Foley & Lardner’s 2026 developer survey found that 95% of respondents reported significant (17%) or noticeable (78%) project delays or cost overruns due to macroeconomic pressures. The pressures included construction costs, labor availability, supply-chain delays, renewable-energy incentives, and tariff policies. The 95% figure is a broad, self-reported survey result; it does not mean that 95% of projects were delayed by labor or materials alone, nor does it isolate data-center construction’s effect on other local projects. The Foley survey report gives the combined context.

To diagnose a delay, identify the schedule dependency and its evidence. Is a crew unavailable, a component not yet manufactured, a utility connection not approved, a permit still pending, or commissioning waiting on power? Comparing the planned date with the current supplier, utility, and permitting milestones is more informative than assigning the setback to “the data center boom” generally. A single project can face several independent constraints, and resolving one may not remove another.

How can a community or contractor assess local effects?

Compare the same evidence in each market or project, and separate direct records from broad forecasts. The available industry sources do not establish a comparable causal estimate of how much one facility changes local wages, material prices, or the completion dates of unrelated projects.

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  • Labor: Identify the trades in demand, especially electrical and MEP roles; check current local wage and apprenticeship data, workforce availability, and competing project schedules. Make sure the evidence is local, recent, and relevant to the occupation in question.
  • Materials and equipment: Identify the components on the critical procurement path. Compare dated supplier quotes, bid tabs or cost indices, escalation terms, delivery commitments, and substitution options. Keep forecasts separate from actual bids.
  • Power and site readiness: Verify grid capacity and the expected energization date, along with the status of land, water, utility plans, and permits. A site with construction crews and equipment available may still be unable to proceed as planned if infrastructure or approvals are not ready.
  • Schedule: Trace dependencies such as crew availability, procurement, grid interconnection, permitting, installation, and commissioning. Record which milestone moved, when it moved, and what evidence supports the cause.

For owners and contractors, early planning means checking local, regional, and national labor and supply-chain capacity, then placing long-lead orders when the design and procurement strategy support it. Skanska recommends monitoring those capacities and considering early purchase of long-lead materials and equipment. For communities comparing locations, workforce availability should be considered alongside powered land, water, and permitting readiness. None of those steps guarantees cost or schedule certainty, but they make constraints visible earlier and help distinguish a local bottleneck from a national trend.

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What should readers take from the national cost and delay figures?

Use them as context, not as a forecast for a specific job. Cushman & Wakefield’s 21% per-MW development-cost increase has a defined data-center scope and comparison with its prior report. Skanska’s generator and HVAC figures are 2026 forecasts qualified by manufacturer. JLL’s grid-connection and breaker figures are from 2024. Foley’s 95% result reflects developer reports about multiple macroeconomic pressures. Dates and measures matter because they describe different things.

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Skanska’s Steve Stouthamer summarized the wider capacity issue in the Summer 2026 announcement: “As we move into the second half of 2026, the construction market is being defined less by concerns for lack of demand and more by the industry’s capacity to deliver.” That statement reflects the report’s market framing; it does not mean every local construction market lacks capacity. Its practical implication is to check the people, equipment, power, and approvals a project actually needs, in the place and at the time it needs them.

Frequently Asked Questions

Can one new data center be shown to raise prices for nearby construction projects?

Not from the national and industry-wide evidence cited here. To support that conclusion locally, compare dated bids or cost indices before and during the project and account for other price drivers; the reviewed sources do not quantify a single facility’s causal effect on nearby project prices.

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What local records are useful for checking whether a project is delaying construction?

Useful evidence includes project schedules and change logs, supplier order and delivery commitments, permit timelines, and utility interconnection records. Pair those records with current local wage and apprenticeship information to distinguish a documented bottleneck from a broad market concern.

Does a large data center cost-per-megawatt figure apply to every facility?

No. The 2026 guide’s $17.6 million per MW figure is an average for the most modern greenfield facilities, and the guide says costs vary significantly by market and workload. It is not a quote for an existing-building expansion or a substitute for a project-specific estimate.

Why might a completed data center still not be ready to operate?

Construction completion and operational readiness are different milestones. The facility may still need power delivery, equipment integration, or commissioning; the schedule depends on the project’s utility arrangements and the status of those final dependencies.

Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply. Prices as of November 13, 2026 8:21 am GMT+0000.

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