When people ask what it takes to build a data center, they are usually thinking about cost. And cost is certainly a major factor — a single data center can represent an investment of hundreds of millions of dollars. But money alone does not build a data center. You need the right workforce, the right equipment, the right expertise, and enough time to bring it all together.
This article breaks down the resources required to build a data center across four dimensions: capital, workforce, equipment, and expertise. For the step-by-step construction process, see our guide on how to build a data center.
Capital Requirements
Data center construction costs are typically expressed in dollars per megawatt (MW) of IT load capacity. Current market rates range from $7-12M per MW for traditional builds to $10-15M+ per MW for AI-optimized facilities with liquid cooling.
Cost Breakdown by System
Understanding where the money goes helps explain why data centers cost what they do:
| System | % of Total Construction Cost |
|---|---|
| Electrical distribution | 35-45% |
| Mechanical / cooling | 20-25% |
| Structural / building envelope | 15-20% |
| Site work and civil | 5-10% |
| Fire protection | 3-5% |
| Controls and BMS | 2-4% |
| Low voltage / cabling | 3-5% |
The electrical system dominates because data centers are fundamentally power delivery facilities. Switchgear, transformers, UPS systems, generators, and distribution equipment are expensive, and the labor to install them is the largest single scope on the project.
Total Project Cost Examples
To put this in practical terms:
- 5MW facility: $35-60M construction cost
- 10MW facility: $70-120M construction cost
- 50MW facility: $350-600M construction cost
- 100MW+ hyperscale campus: $1B+ construction cost
These figures cover construction only. Add land acquisition, design fees, utility interconnection costs, permits, financing costs, and IT equipment, and the total investment grows substantially.
Cost Drivers
Several factors push costs up or down:
Market conditions: Construction costs in Northern Virginia or Silicon Valley are significantly higher than in secondary markets due to labor competition and material demand.
Tier level: A Tier III (concurrently maintainable) facility costs more than a Tier II because redundancy requires more equipment, more space, and more labor to install.
Cooling design: Liquid cooling for AI workloads adds 15-25% to mechanical costs compared to traditional air cooling.
Schedule compression: Accelerated schedules require overtime, shift work, and premium pricing for expedited materials — all of which increase costs.
Workforce Requirements
The workforce needed to build a data center is the single most underappreciated resource requirement. Data centers are labor-intensive construction projects, and the specialized skills required are in chronic short supply.
Peak Workforce by Facility Size
The number of workers on site peaks during the MEP (mechanical, electrical, plumbing) installation phase. For more detail on workforce sizing, see our article on how many workers it takes to build a data center. Here are typical peak headcounts:
| Facility Size | Peak Workers on Site |
|---|---|
| 5 MW | 200-350 |
| 10 MW | 400-600 |
| 20 MW | 600-900 |
| 50 MW | 800-1,200 |
| 100 MW+ (campus) | 1,500-3,000+ |
These numbers represent the peak — the total number of unique workers who cycle through the project over its life is typically 2-3x the peak count.
Trades Breakdown
The workforce is distributed across trades, with electrical work dominating:
| Trade | % of Total Labor Hours |
|---|---|
| Electricians | 30-40% |
| Pipefitters / plumbers | 15-20% |
| Ironworkers / structural | 10-15% |
| Sheet metal workers | 5-10% |
| Concrete / civil | 8-12% |
| Cable technicians | 5-8% |
| Controls / BMS technicians | 3-5% |
| Commissioning specialists | 3-5% |
The Workforce Challenge
Finding these workers is increasingly difficult. The data center construction boom has created intense competition for skilled trades in every major market. Electricians who understand medium-voltage distribution, pipefitters who can build precision cooling systems, and commissioning specialists who can test complex redundant systems are all in short supply.
This is not a problem you can solve by offering higher wages alone, although competitive compensation helps. You need access to a network of workers who have data center experience and are willing to travel to where the work is. This is precisely what a specialized data center construction staffing partner provides.
Equipment Requirements
Data centers require specialized equipment with lead times that can stretch well beyond a year. Procurement planning is a critical path activity.
Long-Lead Equipment and Typical Lead Times
| Equipment | Typical Lead Time |
|---|---|
| Utility transformers | 12-24 months |
| Medium voltage switchgear | 16-30 weeks |
| UPS systems | 16-24 weeks |
| Generators | 20-40 weeks |
| Chillers | 16-30 weeks |
| Cooling towers | 12-20 weeks |
| Static transfer switches | 16-24 weeks |
| Bus duct | 12-20 weeks |
| Power distribution units | 12-20 weeks |
The Lead Time Challenge
The single most common schedule risk on data center projects is long-lead equipment. Utility transformers have been especially constrained, with lead times stretching to 18-24 months or longer in some cases. Switchgear and UPS systems have also experienced extended lead times due to global supply chain constraints.
The implication is that equipment procurement must begin during the design phase — often before construction documents are complete. Delaying procurement until the design is 100% finalized can add months to the project schedule.
Material Requirements
Beyond the major equipment, data center construction consumes enormous quantities of commodity materials:
- Copper: A 10MW data center might use 500,000+ pounds of copper in cables, bus duct, and grounding systems
- Steel: Structural steel, reinforcing steel, pipe, conduit, and cable tray
- Concrete: Foundations, slabs, equipment pads, and site work
- Pipe: Miles of pipe for chilled water, condenser water, and fire protection
- Cable: Hundreds of miles of power and control cable
Material costs fluctuate with commodity markets, and large data center projects can strain local supply chains for concrete and aggregate.
Expertise Requirements
Building a data center requires deep expertise across multiple disciplines. This is not a project you can learn on the fly.
Design Expertise
Data center design is a specialty within the broader architecture and engineering profession. The MEP engineering firm, in particular, must have deep data center experience. Design decisions around electrical topology, cooling architecture, and redundancy strategy have enormous implications for construction cost, operational efficiency, and reliability. A firm without data center experience will make mistakes that are expensive to correct.
Construction Management Expertise
The general contractor or construction manager must understand the unique characteristics of data center construction:
- Quality standards: Electrical connections, piping joints, and welding must meet standards significantly higher than typical commercial construction
- Cleanliness requirements: Data halls must be delivered to clean room standards — a challenge during construction when dust and debris are constant
- Coordination complexity: The density of MEP systems in a data center requires precise coordination between trades to avoid conflicts
- Testing and commissioning integration: Construction must be planned and executed to support the commissioning process, which requires systems to be completed and tested in a specific sequence
Commissioning Expertise
Commissioning is the process of verifying that every system works as designed — individually and as an integrated whole. It requires engineers and technicians who understand power systems, cooling systems, controls, and the interactions between them. Commissioning is not something you can hand off to the general contractor's quality team; it requires independent specialists.
Workforce Management Expertise
Managing a workforce of 500-1,000+ tradespeople across multiple trades on a congested site requires logistical skill. Safety management, tool and material logistics, scheduling, and trade coordination all require experienced supervision.
Putting It All Together
Building a data center requires the convergence of capital, workforce, equipment, and expertise at the right time and place. A deficiency in any one of these dimensions will constrain the project:
- Capital without workforce: Your money cannot build the facility if you cannot find the workers.
- Workforce without equipment: Workers standing idle waiting for switchgear or chillers is expensive and demoralizing.
- Equipment without expertise: Having all the components is useless if the design is flawed or the installation is poor.
- Expertise without capital: The best design in the world stays on paper without funding.
The organizations that build data centers successfully are the ones that plan across all four dimensions simultaneously and proactively address constraints before they become crises.
Cortex Construct addresses the workforce dimension — we provide the skilled, experienced tradespeople that data center builders need to turn capital, equipment, and expertise into operational facilities. From electricians and pipefitters to commissioning specialists, we deliver the people who do the actual building. Contact us to discuss your next project.
Expert insights from the Cortex Construct team — the specialized staffing partner for data center construction projects across the United States, Australia, and Europe.