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CTS Field Notes

Field Notes

The Server Has Escaped the Server Room

Cloud computing taught us to ignore where technology lives. A $16 billion data-center project in Saline Township shows why AI is making the physical infrastructure visible again.

Drive through Saline Township, just outside Ann Arbor, and much of the landscape still looks like the Michigan countryside: corn and soybean fields, silos, grain elevators.

And then there are the cranes.

Behind construction fencing, a project known as The Barn is rising on more than 250 acres. Reuters describes the $16 billion development as part of the Stargate AI infrastructure buildout involving Oracle, OpenAI, Related Digital, Blackstone, and Walbridge. It has also turned a township of roughly 2,400 people into one of the country’s more visible arguments over data centers.

Residents have raised questions about farmland, groundwater, noise, traffic, taxes, electricity, and whether a project this large belongs there at all. The township board rejected the requested rezoning in September 2025. The developers and landowners sued two days later. A consent judgment eventually allowed the project to proceed.

All of which sounds like a land-use dispute—until you get to one number.

1,383 megawatts.

That is the electric service covered by DTE’s special contract for the facility. Suddenly, this stops looking like a building with a great many computers in it. It starts looking like infrastructure.

The cloud’s disappearing act

For most of the history of business computing, technology had an obvious physical location. There was a server in the closet, then several servers in a room. Someone worried about the air conditioning. Someone else worried about the generator. There were racks, cables, blinking lights, and a handwritten warning taped to something important.

Then came the cloud. One of its great conceptual achievements was making all that machinery disappear. Microsoft 365 is not somewhere in the way the old Exchange server was somewhere. Salesforce does not appear to have an address. ChatGPT arrives through a browser window.

Except nothing disappeared. We moved the computers, and then we put millions of them together.

That distinction mattered little to most people while the buildings housing those computers were simply another industrial load on a vast electrical system. AI is changing the scale. Lawrence Berkeley National Laboratory now estimates that data centers could account for 11.8% of U.S. electricity use by 2030, with scenarios ranging from 9.5% to 15.3%. Those are modelled scenarios, not destiny, but even the range shows how quickly the assumptions are changing.

PJM, the regional grid operator serving all or parts of 13 states and Washington, D.C., says data-center growth in its footprint could add roughly 30 gigawatts of demand between 2025 and 2030. The U.S. Energy Information Administration reports that national electricity demand grew about 0.1% annually from 2005 through 2019, then about 1.7% annually from 2020 through 2025, with data centers driving part of the newer growth.

The cloud had not become weightless. We had simply stopped looking at what it weighed.

A computer now needs an infrastructure plan

Technology moves quickly. Infrastructure does not. A company can order thousands of AI processors. A utility cannot necessarily produce another substation, transmission line, power plant, or storage project on the same schedule.

Electricity must travel through particular equipment to a particular place. Transformers have lead times. Transmission projects require planning. Generation and storage have to exist when the load arrives. Choosing where to put computing capacity has therefore become different from choosing where to put an ordinary commercial building.

DTE did not simply plug The Barn into the wall. It sought Michigan Public Service Commission approval for special contracts governing electric service. The commission imposed conditions intended to keep existing customers from bearing unrecovered project costs. Those protections include financial commitments, minimum billing, early-termination provisions, and a requirement that the data center’s load be reduced before other customers during an emergency load-shed event.

That is a remarkable journey for the server room. It has moved from the IT department to township boards, utility executives, state regulators, and regional grid planners.

Who owns the risk?

There are reasonable arguments for building facilities like this. They represent enormous private investment. Developers promise construction work, permanent jobs, and substantial tax revenue. AI may create real economic and scientific value.

There are also reasonable questions:

  • Who pays for the infrastructure required to serve the project?
  • What happens if the projected demand does not materialize—or arrives faster than expected?
  • Can existing customers be insulated from the cost and reliability risk?
  • How much land and water will the project require?
  • How confident should anyone be in a five- or ten-year forecast for an industry changing this quickly?

Those questions are not anti-technology. They are the questions communities ask about every other form of consequential infrastructure.

For years, technology policy mostly dealt with what computers did: privacy, cybersecurity, communications, and automation. Communities are now dealing with what computers physically require:

  • buildings and land;
  • transformers, generators, and storage;
  • fiber, cooling, and water;
  • electricity and people.

The digital economy has become large enough that its physical foundations are visible again.

The server room was always somewhere

There is a useful lesson here even for companies that will never build a data center. Businesses increasingly depend on infrastructure they cannot see. Their email, applications, backups, and artificial intelligence all live somewhere else.

We describe those relationships in digital terms: uptime, redundancy, cybersecurity, recovery time, and service levels. Beneath them is a physical supply chain. That does not mean businesses should abandon the cloud or worry about the electric grid every time they open Outlook. It means technology did not become less physical when we moved it to the cloud. It became so convenient that we stopped noticing the physical part.

AI may be bringing that era to an end.

In Saline Township, the server room is no longer hidden behind a locked door at the end of the hallway. It covers hundreds of acres and has its own electric-service agreement.

Now the neighbors know exactly where it is.