The old benchmarks for data center construction costs don’t account for the needs of AI-optimized facilities.
You used to be able to expect to spend $7-12 million per MW and build your budget from there, but now you need to accommodate GPU-dense workloads, liquid cooling, and high-voltage distribution, all of which drive costs up and add new variables to the equation.
So, how much does it cost to build an AI data center?
This guide breaks down every major cost behind new AI data center construction, including site origination, power procurement, electrical systems, cooling infrastructure, and labor. We’ll flag the variables that cause delays and cost increases, giving you everything you need to set a realistic budget for your build.
What does it cost to build an AI data center?
We measure data center construction costs in cost per megawatt rather than per square foot. The reason why is that square-footage estimates are misleading. Two buildings with identical footprints can have vastly different electrical and mechanical capacities. MW-based pricing reflects what actually drives cost: how much power the facility can deliver and sustain.
AI-optimized data centers typically cost $20 million or more per MW. At the campus scale, hyperscale AI buildouts are modeled at $45-55 billion per GW for a fully built-out ecosystem.
Read more: Understanding data center power capacity planning
There are two key reasons AI data centers are so much more expensive to build than traditional data centers:
- AI workloads: GPU clusters generate significantly more heat than traditional compute, which changes your cooling strategy, electrical sizing, floor layout, and water service requirements. All of these changes drive up cost.
- Land development: With multiple developers competing for large land parcels with available power, land is getting harder to find and more expensive to secure. In most markets, the challenge isn’t acreage, but available megawatts.
With this key context in mind, let’s explore each major cost factor in an AI data center build. We’ll explore each cost bucket, the percent of your total budget to allocate for that expense, and the best ways to keep costs as low as possible.
1. Budgeting for electrical systems
Electrical infrastructure is one of the most significant expenses in any data center build. You can expect your electrical system to account for 40-50% of your total construction cost. This cost includes:
- Substation transformers
- Switchgear
- Padmount transformers
- Redundancy configurations
- Grid interconnection equipment
In terms of cost per square foot, electric-heavy scopes are commonly estimated at $280–$460/sq ft. It's the largest single line item in the build and the longest lead item in the supply chain.
Transformer lead times from legacy manufacturers can stretch to 50+ weeks, especially if you need custom configurations. Your procurement timeline can throw off your entire construction schedule, so accurate specifications and the right manufacturing partner are critical to keeping costs down and timelines on schedule.
At Giga, we manufacture our own transformers, switchboards, and critical AI infrastructure. Our prefabricated, pod-based system allows us to stand up greenfield AI data centers in under nine months, with all the electrical infrastructure and grid interconnection you need.
2. Planning mechanical and cooling systems
Mechanical scope for a traditional air-cooled data center build typically costs about 15-20% of your total construction budget, but that number can fluctuate quite a bit when it comes to AI data centers.
GPU clusters generate significantly more heat than traditional compute. The current generation of GPUs is designed for roughly 165 kilowatts per rack, and the next generation will require even higher densities and cooling performance. What was spec'd for enterprise IT racks 18 months ago doesn't cut it for today's AI hardware, let alone tomorrow's.
The advanced liquid cooling systems required for AI data centers impact layout, electrical sizing, piping, and water service, all of which can drive costs up. At Giga, we construct all our data centers in prefabricated, plug-and-play pods.
Each GigaPod is a 1.4 MW compute module that ships from our factory pre-built with both power and cooling already integrated. The water and electrical infrastructure arrive commissioned, meaning that on-site, only the power and cooling connections are made. That approach dramatically reduces the field labor and coordination complexity that drives cost overruns in traditional builds.
Read more: How Giga builds AI-ready data centers in 9 months
3. Site selection and power availability costs
Site selection is another major factor that impacts cost and timeline. If you’re building an AI data center designed to scale, you’ll need a significant plot of land.
A 100 MW facility typically requires 50+ acres. Land costs vary widely by region, but land price is increasingly secondary to a more important question: Is power available, and how fast can you access it?
Power availability is the number-one constraint on AI infrastructure expansion. Interconnection queues and permitting can add months or years before construction starts. In short, when a site already has power on it and a utility relationship in place, you can move to a data center build very quickly. When you're starting cold, you're at the back of a long line.
Other factors that impact site selection costs are:
- Whether or not the site is inside a city boundary
- Existing utility relationships
- Whether land is already permitted for data center construction
Giga's land portfolio comes pre-permitted and grid-connected. Our origination team works directly with utilities to source available megawatts, and our existing utility relationships accelerate permitting and interconnection. When you work with our team, the front end of the project is already taken care of.
4. Interior fit-out and IT equipment costs
Interior fit-out, like raised floors, fire suppression, security systems, and operational rooms, typically accounts for a relatively small portion of your total construction cost. But if you want to bring your data center online once construction is complete, you, of course, also need to invest in the IT equipment an AI data center needs to run.
At a 100 MW scale, servers, networking gear, and GPUs can run $2.5-4 billion or more. This is a separate line item from the overall construction costs we’ve been discussing throughout this post.
"How much does it cost to build an AI data center?" and "How much does it cost to deploy AI compute?" are two different questions with very different answers. The construction budget is what we’ve been discussing throughout this guide, and it covers the infrastructure layer. What goes inside is its own capital plan, so be sure to allocate a significant amount of additional capital for your GPUs and servers.
5. Hidden costs: Labor and timeline
Finally, you need to consider your labor costs.
Traditional field-built data centers at 40 MW scale require 400–500 electricians on-site. That's according to Giga's own CTO, Angad Sandhu, who has built these projects for years. When you’re looking for that many qualified electricians in the specific market where you’re building, you’re not only looking at labor costs but potential delays. Labor availability in key markets is increasingly unpredictable, and when labor slips, everything else slips with it.
The smarter model attacks labor risk at the source: manufacture as much as possible before anything touches the site.
Giga's prefabricated data center infrastructure system brings a 40 MW online with only about 30–40 electricians over three or four months. That's a 10x reduction in MEP construction labor versus a traditional field build. With Giga’s model, pod-based units arrive pre-built, pre-tested, and pre-commissioned from the factory, so the only on-site work that needs doing is your power and cooling connections.
Get in touch with our team today to see how we can help you stand up a brand-new data center in nine months.
Keeping the cost of building an AI data center down
The cost of building an AI data center is around $20 million per MW or more, plus the cost of your GPUs and IT equipment. Using this breakdown, you should be able to see where those costs fall and set your budgets accordingly.
The faster you can get your new data center construction project completed and online, the sooner you can start generating revenue and seeing a return on that initial investment. The teams that build fastest are the ones with the fewest handoffs. Every interface between vendors is a place where timelines slip, so when you’re working with half a dozen different contractors, suppliers, and teams, you run the risk of your project going sideways.
Instead, you need a single accountable partner with a system in place to build AI data centers faster and more efficiently.
Giga Energy is the only partner you’ll need from spec to site. We handle site origination, equipment manufacturing, installation, and operation. Our pod-based construction process gets your GPUs powered and generating revenue faster than any other AI construction company.
Ready to talk through your project? Get in touch with our sites team.
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