AI is turning data-center construction into an electricity-and-infrastructure program, not merely a building project. New facilities must secure high-capacity, continuous power and a grid connection, then solve siting, cooling, water, equipment, supply-chain and workforce constraints. The result is added construction well beyond the data-center shell.
Why AI changes the construction brief
AI workloads increase demand for data-center capacity. Although the available forecasts cover data centers overall rather than AI alone, AI is a major growth driver. Each new facility links a building schedule to utility planning, network requirements and local resource limits.
U.S. Department of Energy analysis describes data-center electricity demand as fast-growing and geographically uneven. Latency can restrict where a facility is built, while a large, continuous load can require regional grid planning. A project therefore cannot be evaluated only by the cost or speed of constructing the building.
Electricity becomes a site-selection requirement
A viable site needs enough present or planned capacity, a credible interconnection path and firm power for continuous operation. Depending on the location and project design, enabling work may include generation, transmission, substations, distribution upgrades, storage or on-site generation. Those facilities can have their own permitting, procurement and construction schedules.
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Power delivery and heat removal are core design questions. Electrical distribution, backup and operating flexibility must be coordinated with the computing equipment and the utility connection. Cooling design, water sourcing and water-reuse plans must be developed alongside the building rather than treated as late-stage services.
How large is the electricity buildout?
The International Energy Agency’s 2025 base case estimates that data centers used 460 TWh of electricity globally in 2024, rising to more than 1,000 TWh in 2030 and 1,300 TWh in 2035. These are scenario projections, not measured future outcomes, and they describe data centers as a whole.
| IEA 2025 base case | Projected data-center electricity | How to interpret it for construction |
|---|---|---|
| 2024 | 460 TWh globally | Reference year for the projection |
| 2030 | More than 1,000 TWh globally | Growth that can drive new generation and grid projects |
| 2035 | 1,300 TWh globally | Longer-term scenario, not a guaranteed buildout |
In that base case, renewables grow at an average annual rate of 22% from 2024 through 2030 and supply nearly half of the increase in data-center electricity demand. Natural gas and coal together supply more than 40% of the additional demand over the same period. The balance differs by geography, so no single generation or construction model applies everywhere.
What the U.S. estimates mean for builders
A 2025 Lawrence Berkeley National Laboratory update, summarized by the U.S. Department of Energy in 2026, models data centers reaching 11.8% of total U.S. electricity use by the end of the decade. Its scenarios range from 9.5% to 15.3%.
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|---|---|---|
| Lower scenario | 9.5% | Modeled scenario, not an observed current share |
| Central estimate | 11.8% | Based on projected equipment shipments |
| Upper scenario | 15.3% | Modeled scenario, not a project-completion forecast |
The equipment-shipment-based model does not directly account for possible growth in grid supply or on-site energy supply. It should therefore be used as an indicator of potential demand pressure, not as a prediction of how many buildings will be constructed or when they will connect.
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Which construction systems expand beyond the data-center shell?
Grid interconnections and power infrastructure
Developers must establish available capacity, study the interconnection, identify required upgrades and obtain a path to firm service. Utility-scale work can include new generation, transmission and distribution assets. Storage or on-site generation may also be part of a reliability strategy, but the appropriate mix depends on local conditions and project requirements.
Land, network access and permitting
Site selection balances latency, land availability, network connectivity, energy infrastructure, permitting and community context. A parcel with inexpensive land is not suitable if it cannot meet latency requirements or obtain power on the project’s schedule. A location near generation may still face transmission limits or a lengthy interconnection queue.
Cooling and water planning
AI-related computing density makes heat removal a central engineering and construction issue. Cooling innovation and water-reuse work are active areas, but available evidence does not support one universal water-use figure. The relevant questions are the cooling design, water source, reuse capability, local availability and operating profile.
Equipment, materials and batteries
Rapid growth places pressure on supply chains for construction equipment, electrical materials, cooling components and batteries that can support continuous operations and grid reliability. Lead times and manufacturing capacity can become schedule constraints even after a site and power strategy are selected.
Skilled workforce
Large programs require workers for civil, structural, electrical, mechanical, controls and commissioning activities. The Department of Energy identifies workforce availability as a potential constraint, but there is no reliable universal labor-per-project or peak-workforce number; those values vary by design, location and delivery method.
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What is slowing data-center construction?
Interconnection queues and network upgrades
A project can have land and financing yet wait for studies, approvals, transformers, substations or transmission work. The building schedule is then coupled to utility milestones outside the contractor’s direct control.
Continuous-load requirements
Data centers need dependable power rather than occasional availability. A regional system may need new generation, storage or operating flexibility to serve a large load without compromising reliability. This can extend planning and permitting beyond the facility boundary.
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Water resources can limit growth, especially where several facilities compete for the same supply. Cooling and reuse plans must be assessed against local availability and community expectations, not copied from another region.
Supply-chain and labor bottlenecks
Equipment and material capacity, plus competition for skilled workers, can delay otherwise permitted projects. Early procurement and realistic sequencing matter, but no single schedule applies across markets.
Forecast and pipeline uncertainty
Forecasts are scenarios, and announced projects are not completed capacity. A proposal should not be described as under construction or operational until its status is verified. Builders and communities should separate signed commitments, permitted work, active construction and energized facilities.
A practical framework for comparing sites and projects
Use the same questions for each candidate location, then verify the answers with the relevant utility, authority and project documents.
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Quick Recap
| Evaluation area | Questions to answer | Why it changes construction demand |
|---|---|---|
| Power and interconnection | What capacity is available, how long is the queue, what upgrades are required, and is firm service defined? | Determines utility work, schedule risk and possible generation or storage construction |
| Location | Does the site meet latency, land, permitting, network and community requirements? | Determines whether a technically buildable parcel is operationally viable |
| Supply strategy | What comes from the grid, on-site generation, renewables or storage, and what is available now versus planned? | Separates current capability from future commitments |
| Cooling and water | What cooling system and water source are proposed, what can be reused, and is local supply adequate? | Shapes mechanical construction, approvals and operating resilience |
| Delivery capacity | Are equipment, materials and skilled workers available when needed? | Reveals procurement and labor risks that a site plan can hide |
What this means for construction planning
- Test the site before detailed design. Confirm latency, land, permitting conditions, water availability and the likely interconnection route.
- Map the entire power dependency. Identify utility studies, generation, transmission, substations, distribution, storage and on-site systems that must be delivered before energization.
- Design cooling and water as enabling infrastructure. Evaluate local supply, reuse options and the facility’s operating profile rather than applying a generic water assumption.
- Secure long-lead equipment early. Align procurement for electrical, cooling and battery-related components with utility and building milestones.
- Plan for workforce availability. Match the construction sequence to the skilled trades and commissioning resources available in the region.
- Report project status precisely. Distinguish an announced proposal from permitted, under-construction, energized and operational capacity.
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