The Liberty Daily 
The AI Data Center Revolt Bus in Arizona. The tour has now come west and is scheduled to finish in Silicon Valley on Monday.
By Brooke McGowan
I went looking for answers about what was happening to communities.
Trending: Democrat Governor Who Sued Exxon Over Climate Change Asks Trump Admin to Fast-Track Gas Pipeline
I ended up learning how a global infrastructure boom is being financed.
I had no idea this world existed.
Most Americans probably don’t either.
So let me show you what I found.
And before I do, I want to say something important.
None of this is difficult because ordinary Americans are stupid.
It is difficult because most of us were never taught how global infrastructure finance works.
My own mother is 74 years old. She is a smart woman. But her education and life experience were not built around private credit, infrastructure funds, bond markets, semiconductor supply chains, or the financial structures now helping fuel America’s artificial-intelligence buildout.
Neither was mine.
So as I began trying to understand all of this, I gave myself a simple test:
Could I explain it to my mother at the kitchen table?
If I couldn’t, I probably didn’t understand it well enough yet.
That is what I am going to try to do here.
Where Most Americans Enter the Story
For most people, this story begins somewhere very ordinary.
A county commission meeting. A board of supervisors. A planning board. A city council. A zoning board. A public hearing where local officials are asked to approve a data-center project.
Then come numbers that hardly sound real.
Two billion dollars. Five billion dollars. Ten billion dollars.
When people hear numbers like that, it is natural to imagine some giant technology company somewhere simply writing one giant check.
But once I began looking at how these projects are financed, I realized that picture is often far too simple.
Behind one local proposal can sit a whole network of developers, utilities, banks, private lenders, infrastructure funds, pension funds, bond investors, technology companies, and some of the largest asset managers in the world.
The building may be local.
Its economic address can be global.
Project Delta footprint in Stokes County, North Carolina — approximately 1,848 acres. A local board decision can sit at the front end of a much larger capital story.
How a Farm Becomes a Financial Asset
Start with the land. Imagine two similar pieces of property.
One is simply rural acreage.
The other has a path to industrial zoning, enough electrical capacity nearby to support an enormous computing campus, and the fiber and road access needed to make the project practical.
To somebody driving by, both may still look like fields. To an investor, they may represent completely different things.
Data centers need something increasingly difficult to obtain: power at extraordinary scale. They also need fiber connectivity, suitable land, infrastructure, permits, and a location where construction can actually happen.
Once those pieces begin coming together, the value proposition changes. The land is no longer valuable merely because of what is sitting on it today. It becomes valuable because of what somebody believes can be built on it tomorrow.
Who Actually Pays for These Things?
A multibillion-dollar project does not necessarily have one source of money.
A developer may contribute capital. Investment partners may provide equity. Banks may lend. Large investment firms may lend directly. Infrastructure funds may invest. Bonds may be issued. A major customer may contract for future capacity. Sometimes pension money is somewhere in the chain. Sometimes several of these things happen at once.
That is why hearing the phrase “five-billion-dollar investment” does not tell you, by itself, how the project is financed.
In plain English, private credit simply means lending done by big investment pools instead of a traditional bank alone. Infrastructure funds are large pools of money used to own or finance long-lived assets expected to produce returns over time. Pension funds are retirement money invested to meet future obligations.
A plain-English map of how a local proposal can connect to land assembly, project finance, customer revenue, and investor returns.
A Bastiat Test
At this point, Bastiat starts whispering in my ear.
In The Law, Frédéric Bastiat argued that the proper purpose of law is to protect person, liberty, and property — not to become a mechanism for taking from some people for the benefit of others.
That matters here.
If a private company wants to buy land, build a facility, and assume the risks and costs of doing so, that is one thing.
But once public power enters the picture — through rezoning, tax treatment, infrastructure commitments, utility cost allocation, or eminent domain — a different question appears:
Are we protecting people and their property, or are we asking some people to surrender something so someone else can gain?
That is not an argument against trade, technology, or investment. It is a reminder to ask who is acting voluntarily, who is assuming the risk, who is using government power, and who may bear the cost if the assumptions are wrong.
Matt Kibbe’s kitchen-table version of the same instinct is still hard to beat:
Don’t hurt people. Don’t take their stuff.
A classic title-page-style Bastiat visual for The Law, used here as a moral lens on property, consent, and the proper use of public power.
Why Wall Street Wants In
Standing outside one of these campuses, you see buildings, concrete, transformers, cooling equipment, server halls, and transmission infrastructure.
An investment manager can see something different: potential future cash flow.
If a large, financially strong customer signs a long-term agreement to use a data center, those payments can become a dependable revenue stream. And once something produces income, financial markets can begin building structures around it.
That helps explain why giant financial firms are paying attention. The AI race is not only a technology story. It has become a capital story too.
When Investment Becomes a Bet on Tomorrow
This brings us to speculation.
That word can sound sinister. It does not have to be.
Speculation, at its simplest, means somebody is putting money at risk today because they believe something will be worth more — or produce more income — in the future.
Investors in AI infrastructure are making assumptions about tomorrow. They may believe AI usage will keep rising, companies will require more computing power, customers will keep signing long-term contracts, power-connected land will remain scarce, and future lease revenue will support today’s investment.
Those assumptions may prove correct. They may even prove conservative. But they are still assumptions about the future.
And when hundreds of billions — potentially trillions — of dollars are being allocated around a set of assumptions, it becomes very important to understand what those assumptions are.
The Michael Burry Lesson
This is where Michael Burry becomes interesting — not as an oracle, but as a reminder.
The lesson of The Big Short was not that every exciting market is doomed. It was that when almost everyone is excited about the same future, somebody should ask what has to be true for the investment to work.
Housing in 2008 and AI infrastructure today are not the same thing. But the underlying question is timeless: what assumptions are hiding underneath the price?
Then I Thought About a Pencil
Somewhere in the middle of all this research, I kept thinking about Leonard Read’s famous essay I, Pencil. He used something as ordinary as a pencil to show how many unseen people, places, skills, and materials can stand behind one simple object.
The pencil looked simple. The system behind it was anything but.
A modern data center may be a twenty-first-century version of that lesson — except instead of a pencil, we are talking about infrastructure that can cost billions of dollars.
The chip may be designed in one place. The leading-edge semiconductor manufacturing may happen in Taiwan. Memory may come from South Korea. Some networking or optical components may come from China. Capital may come from American investment firms, Canadian pension money, or global asset managers. And the entire system may end up behind a fence outside a small American town.
The project may have a local address. Its supply chain does not stop at the county line, the state line, or even the national border.
An I, Pencil-style visual: one local data center can depend on a much larger network of supply chains, capital sources, and customers.
And Yes, There Is a China Question
We need to be careful and accurate here.
It would be misleading to tell Americans that China simply supplies the advanced AI chips inside American data centers. Much of the leading-edge semiconductor manufacturing that powers this boom is tied to Taiwan’s world-class ecosystem.
But China still matters in parts of the broader hardware chain, including some optical and related components that help modern data centers move huge amounts of information at high speed. That reality creates a strategic tension worth understanding.
America may want AI leadership to be a national strength, but the physical infrastructure behind that goal can still depend on an international supply chain.
Why the Rush Feels So Intense
Once I followed the money, the speed of the buildout made more sense.
Cloud computing had already created enormous demand for data centers. Then generative AI dramatically increased expectations for future computing needs. Technology companies began planning much larger capital expenditures. Powered sites became more valuable. Financial markets began finding more ways to fund the buildout.
And then competition reinforced the cycle. Technology companies do not want to build too little computing capacity. Developers do not want to lose strategic sites. Investors do not want to miss what could become one of the defining infrastructure opportunities of a generation. Utilities see giant customers. Communities see giant investment announcements.
Everybody has a reason to move. That does not mean everyone has the same reason.
Back to the Kitchen Table
After following the money from local boards to global capital markets, I keep coming back to the family sitting at the kitchen table a mile from a proposed site.
They were never supposed to become experts in private credit, pension funds, semiconductor supply chains, or bond markets. They simply want to understand what is happening down the road from their home.
And yet, increasingly, understanding that one local project requires understanding a system that stretches far beyond the county line.
That is why I wanted to write this. Not because every data center is bad. Not because every investor is greedy. Not because every projection will fail.
I wanted to understand why this is happening, who pays for it, who hopes to profit from it, what assumptions the investment depends on, and how something decided by local boards can ultimately connect to Wall Street and far beyond.
I wanted to be able to sit across from my mother at the kitchen table and explain it.
Because before a community makes a decision that may shape its future for generations, its people should at least be able to see the whole machine.
The project may be local. The system behind it is anything but.
Brooke McGowan is a longtime grassroots activist, former congressional candidate, and former Tea Party News Network staff contributor whose work has spanned Oklahoma, Hawaii, North Carolina, and national movements. She serves as North Carolina State Director for Humans First and travels nationwide with the Data Center Revolt Bus Tour, documenting the human and economic questions surrounding America’s rapidly expanding AI infrastructure.
