Behind every AI chatbot sits a physical structure, and that structure looks more like a mill than an office. Data center construction for AI infrastructure has become a heavy industrial building race. Indeed, the numbers make the point. The U.S. Department of Energy has tracked the climb. Power use rose from 58 terawatt-hours in 2014 to 176 in 2023. Moreover, the agency projects that figure could double or triple again by 2028. For owners, that scale changes what a build means. We have spent decades delivering steel structures in demanding industrial settings. As a result, the patterns behind this surge feel familiar: heavy loads, tight schedules, and remote sites.
Why Is an AI Facility an Industrial Build, Not an Office Build?
An AI data hall is an industrial structure, not an office. It carries factory-scale power, weight, and heat loads from day one.
The scale explains the difference. Hyperscale sites now exceed 100 megawatts of capacity. Moreover, their power densities run far above an ordinary office, according to technical references on data center design. That single fact ripples through every discipline on the project. Because the power is concentrated, the support systems grow with it. Transformers, switchgear, and generators take space that rivals the compute hall. In addition, the frame must carry equipment loads an office never sees. Floor loading can run several times a standard commercial spec. Likewise, roof framing carries rows of heavy rooftop units and cable trays.
The work also demands skilled crews. These crews must know structural steel and heavy mechanical coordination. The capital behind these builds reinforces the point. Major technology firms are pouring hundreds of billions of dollars into compute capacity. As a result, much of that money lands on buildings, power systems, and the trades that assemble them.
Power Density Has Become a Structural Problem
The shift to liquid cooling shows this clearly. Air alone cannot remove the heat that dense racks produce. Instead, operators use direct-to-chip loops, rear-door exchangers, and immersion tanks. However, these systems add concentrated weight that the floor and frame must hold. Slab thickness and beam spacing must then follow the cooling plan from the first sketch. Retrofitting that capacity later costs far more than designing for it up front.
Steel framing offers a real edge here. It carries heavy point loads and spans wide bays for equipment movement. Furthermore, it adapts as cooling hardware changes across generations. Water adds another layer. A single large facility can draw millions of litres a day. Therefore, treatment skids, storage tanks, and drainage all need support. Leak containment and maintenance access must sit inside the frame, not bolt on later. These are the integrated problems our teams solve on processing plants every day.
Vibration and clearance deserve attention as well. Pumps, chillers, and fans run constantly, so the structure must damp their motion. Tall clear heights also let crews route piping and cable trays overhead. Consequently, the building must plan for service access from the start. Otherwise, later upgrades grow slow and costly.
Speed to Energization Favors Steel and Modular Methods
Capital is moving fast, and schedules move with it. Owners want to energize racks and earn a return early. As a result, build speed now drives design rather than following it. Specifically, this is where pre-engineered steel and modular methods earn their place. Steel fabricates off site while foundations cure on site. That overlap compresses the timeline. Modular units arrive factory-built, then set in sequence as each section reaches readiness.
Several advantages stack up for industrial owners on this route:
- Parallel work: shop fabrication and sitework advance at the same time.
- Predictable quality: controlled shop conditions cut field rework and weather delays.
- Scalable phasing: additional bays or pods bolt on as power allocation grows.
- Material efficiency: standardized steel sections reduce waste and simplify procurement.
The table below sums up how the two routes compare.
| Factor | Conventional Site Build | Pre-Engineered Steel and Modular |
|---|---|---|
| Schedule | Sequential trades | Parallel shop and field work |
| Quality | Variable field conditions | Controlled shop conditions |
| Scaling | Rebuild and disrupt | Add bays as power grows |
Our Interfor Adams Lake sawmill project shows these methods in practice. It used the same fast, structurally demanding approach.
Building Where the Power Is
Location strategy has flipped. Developers used to place sites near users. However, the binding limit now is electricity. Projects therefore follow grid capacity into rural and industrial corridors. That shift suits crews who already work far from cities.
Still, remote sites bring real complications. Crews, materials, and gear must travel long distances. In addition, weather windows are short and local infrastructure is thin. These are the exact conditions heavy industrial builders manage as routine. Mines and energy plants rarely sit beside a highway. The same grid pressure pushes some operators toward on-site power and phased energization. Our work across remote northern and high-altitude sites reflects that logistics discipline. For the full range, see our completed project portfolio.
Grid connection often sets the real timeline. A new campus may wait years for transmission capacity. Therefore, developers increasingly build their own substations and feeders. That work is heavy civil and structural in nature. Consequently, a builder who understands both the facility and its power tie-in keeps the project moving. Otherwise, the shell sits finished while the racks stay dark.
What Owners Should Demand From a Builder
The gap between a generic contractor and a heavy industrial firm keeps widening. Therefore, owners should look for a few clear strengths. First, structural depth matters most. The builder must read cooling and electrical loads as structural inputs. Second, single-source delivery cuts risk, since design, supply, and installation sit under one roof. Third, proven remote-site execution separates serious contenders from the rest. Finally, a strong safety and quality record protects the schedule when work gets complex.
Ultimately, the surge in data center construction for AI infrastructure is a test of industrial building skill. Owners who treat these projects as heavy structural work will move faster and spend more wisely. We are ready to discuss those structural realities early, when the choices matter most. To start that conversation, reach out through our contact page.