Full Throttle: What the Data Center Boom Is Building Beyond the Data Center

There is a reason this year’s Data Center Anti-Conference has a Top Gun theme.

The data center industry has been given a mission. Build an extraordinary amount of critical infrastructure, build it well, and build it much faster than we have historically built almost anything of comparable complexity.

Hence: Full Throttle.

AI has turned data centers from something most people rarely thought about into one of the largest infrastructure stories in the world. That new visibility has brought investment, opportunity and, understandably, scrutiny.

Data centers need power. A lot of it.

Some use significant amounts of water.

They require enormous quantities of equipment, materials and skilled labor. And after construction is complete, a facility that cost billions of dollars to build may employ fewer people locally than a similarly sized investment in manufacturing.

Those are reasonable things for communities to ask about.

But there is another question worth asking.

What are we building because data centers need to be built?

The answer extends well beyond the walls of the data center.

Constraints have a funny way of producing innovation

Construction has spent decades talking about its productivity problem.

We have also spent decades talking about the skilled labor shortage, rework, fragmented data, inconsistent quality documentation, slow technology adoption and the enormous amount of institutional knowledge carried around in the heads of experienced tradespeople.

None of these problems arrived with AI.

What changed is the cost of not solving them.

If you have plenty of labor and plenty of time, an inefficient process can survive for a surprisingly long time. If you suddenly need to deliver multiple gigawatts of mission-critical infrastructure across the country, inefficiency becomes capacity.

A missing inspection is no longer just paperwork.

Rework is no longer just an unfortunate line item.

Waiting until commissioning to discover that something was installed incorrectly is no longer acceptable when a delayed turnover can affect hundreds of millions or billions of dollars of infrastructure.

And asking already scarce skilled workers to spend part of their day manually documenting work that technology could capture automatically starts to look less like tradition and more like waste.

That is one of the quieter effects of the data center boom.

It is creating a market for doing construction differently.

Data centers may be construction technology’s proving ground

Many of the technologies being adopted on data center projects were not invented for data centers.

Reality capture existed before the current boom. Prefabrication existed. Digital commissioning existed. Automated work verification existed. Advanced project controls existed.

The problem was rarely whether the technology worked.

The harder problem was changing how people worked.

Construction is an industry where a perfectly reasonable response to a new piece of software has historically been: We built the last one without it.

That argument gets harder to make when the next project is twice as large, the schedule is shorter and there are not twice as many electricians, pipefitters, welders, commissioning agents and superintendents available to build it.

Data centers are creating an environment in which the economics of adoption change.

The question becomes less:

How much does this technology cost?

And more:

How much additional capacity can we create with the workforce we already have?

That distinction matters.

The industry does not simply need more workers. It needs to make every skilled hour more valuable.

For companies like Cumulus Quality, that means helping workers verify critical work as it happens, creating a digital record of quality without adding another administrative burden, and catching problems before they become rework.

For other companies, it means automating layout, scanning installations, improving logistics, prefabricating assemblies or turning mountains of project information into something teams can actually use.

The individual technologies matter.

But the larger story is adoption.

Data centers are giving construction technology something it has needed for a long time: urgency.

The jobs are not all inside the building

There is a similar problem with the way we talk about employment.

Look only at a completed data center and the criticism is easy to understand. These are enormous capital investments, yet the permanent workforce operating inside them can be relatively small.

But a data center does not materialize when somebody plugs in a server.

It has to be built.

Before the servers arrive there are electricians pulling cable, pipefitters assembling mechanical systems, operators moving equipment, ironworkers setting steel, engineers designing infrastructure, commissioning teams testing systems and manufacturers producing the switchgear, generators, cooling equipment and thousands of other components that make the facility work.

Then zoom out again.

Someone has to build the power infrastructure.

Someone has to manufacture the electrical equipment.

Someone has to build the pipelines, substations and generation assets.

Someone has to transport all of it.

The employment footprint of a data center is much larger than the number of badges inside the building on an ordinary Tuesday morning.

That does not mean every community hosting a data center receives the same economic benefit. It does mean we should measure the impact across the supply chain rather than stopping at the property line.

The data center boom is, in part, a construction boom.

And at a moment when much of the country is trying to figure out where the next generation of skilled tradespeople will come from, the industry is creating an enormous amount of complicated, well-paid work that cannot be performed from a laptop.

Then there is power

The easiest criticism of data centers may also lead to one of the most consequential changes.

They need an extraordinary amount of electricity.

That is a challenge.

It is also a price signal.

For years, parts of the country have struggled to justify new generation and transmission infrastructure. Now enormous customers are showing up saying, effectively: We need power, we need it reliably, and we are willing to invest to get it.

That is changing the conversation around generation.

Developers are exploring natural gas, renewables, storage, nuclear, on-site generation and combinations of technologies that would have seemed unusually ambitious only a few years ago.

In some cases, data center developers are moving beyond being passive consumers of the grid and becoming participants in building the generation that supports their facilities.

That does not magically eliminate concerns about electricity prices, transmission capacity or who bears the cost of infrastructure.

Those questions matter enormously.

But “data centers require more power” and “data centers take power away from everyone else” are not necessarily the same statement.

Demand can strain infrastructure.

Demand can also finance new infrastructure.

Often, it does both.

The important question is whether we build the market structures, generation and transmission needed to turn that demand into additional capacity rather than scarcity.

Water deserves the same nuance

Water may be the clearest example of why the conversation needs more precision.

Some data centers consume significant amounts of water. Community concern about that is legitimate, particularly in places where water is already scarce.

But not every data center cooling system works the same way.

Newer facilities are increasingly experimenting with closed-loop systems, direct liquid cooling, reclaimed water and designs intended to dramatically reduce potable water consumption.

Applied Digital, for example, has publicly discussed the closed-loop cooling approach at its Polaris Forge facilities in North Dakota, where the company says it is attempting to push cooling-related water consumption as close to zero as possible. The important distinction is not whether heat must be removed from a data center. Physics does not negotiate. The distinction is how that heat is removed.

The economic incentive here is unusually strong.

Water costs money. Energy costs money. Cooling equipment costs money.

A more efficient data center is generally a cheaper data center to operate.

So environmental efficiency and economic efficiency, while certainly not identical, are often pulling in the same direction.

That is useful.

We should want an industry where consuming fewer resources is not merely good citizenship but good business.

None of this earns the industry a free pass

There is a temptation, when an industry feels misunderstood, to respond by telling everyone outside it that they simply do not understand.

That is rarely persuasive.

Communities asking about power, water, noise, tax incentives, construction traffic and long-term employment are asking reasonable questions.

The data center industry should answer them.

With numbers.

With transparency.

With better designs.

And, most importantly, with results.

The strongest response to the misconception that data centers consume resources without giving anything back is not a marketing campaign explaining why the public is wrong.

It is building projects that leave communities with something tangible.

More generation.

Better infrastructure.

New training programs.

Skilled construction careers.

Water infrastructure where appropriate.

A stronger tax base.

And technologies and construction methods that can eventually improve hospitals, factories, power plants and every other kind of critical facility we build.

Not every project will accomplish all of those things.

The goal should be to make more of them do so.

Full Throttle does not mean reckless

Which brings us back to Top Gun.

The lesson is not that speed matters above everything else.

The mission works only because speed is paired with training, technology, information, coordination and an almost obsessive attention to execution.

That distinction feels particularly relevant to data center construction today.

We have to build faster.

But faster cannot mean accepting more rework.

It cannot mean compromising safety.

It cannot mean discovering quality problems during commissioning that could have been caught during installation.

And it cannot mean treating the communities hosting this infrastructure as obstacles standing between developers and their schedules.

Mission-critical infrastructure requires mission-critical construction.

The exciting part of the current data center boom is not simply how many data centers we are building.

It is the pressure the boom is putting on us to solve problems that construction, energy and infrastructure have lived with for decades.

Labor is scarce, so we have to make workers more productive.

Power is constrained, so we have to build more of it.

Water matters, so cooling has to become more efficient.

Schedules are shrinking, so quality has to become more visible.

Complexity is increasing, so our tools have to get better.

That is what happens when an industry goes Full Throttle.

You find out very quickly what is holding you back.

Then you build something better.

We’ll see you at DCAC.