This “Solo” AI Billionaire Runs a Company On Us

Yesterday The New York Times wrote about How A.I. Helped One Man (and His Brother) Build a $1.8 Billion Company — Let me help you calculate what his company owes us in a Data Dividend.

There is a new fairy tale moving through the business press.

A man with a laptop. A handful of A.I. tools. A tiny payroll. And suddenly, hundreds of millions in revenue.

The story is supposed to make us gasp at efficiency. It is supposed to make us bow before the machine. It is supposed to make us believe that labor is becoming optional, that scale no longer needs people, and that the old rules of production have been shattered for good.

Not so fast.

What has actually happened is something older than Silicon Valley likes to admit. A man has found a new way to stand on top of other people’s inputs without paying their full price.

That is not magic. That is not invention from nothing. That is extraction with better software.

The recent New York Times profile of Medvi, the telehealth company built by Matthew Gallagher with just a brother, a few contractors, and a stack of A.I. tools, is being treated like proof that the age of the one-person billion-dollar company has arrived. The numbers are designed to dazzle: $401 million in 2025 sales, roughly $65 million in net profit, and a 2026 sales pace reportedly headed toward $1.8 billion.

But the real story is not that one entrepreneur created all of that value alone.

The real story is that he used artificial intelligence to compress an enormous amount of human contribution into almost no payroll.

That is where my Data Cap Table comes in.

For years, I have argued that modern economics has been misstating production itself. We still pretend that output is mostly a function of capital and labor, as if the digital economy did not exist. As if personal data, behavioral data, preference data, language data, image data, health data, and all the rest were just ambient noise floating around the marketplace for free. As if information were not a factor of production in its own right.

But in the age of A.I., that fiction gets harder to maintain by the day.

The better mathematical way to describe production now is simple:

Y = F(K, L, I) Capital. Labor. Information.

And in this new class of company, information is doing far more work than the books admit.

Look at what Medvi reportedly used to get off the ground: ChatGPT, Claude, Grok, Midjourney, Runway, voice tools, telehealth platforms, customer-service automation, ad systems, and conversion optimization. That is not a story about one man replacing a company. That is a story about one man renting access to a giant industrial stockpile of human knowledge, human language, human images, human behavior, human need, and human response patterns.

Every one of those systems works because human beings fed them, trained them, shaped them, or continue to generate the data that keeps them useful.

The code assistants did not teach themselves to code. The language models did not teach themselves to write. The image systems did not invent human aesthetics. The ad systems did not create human desire. The telehealth workflows did not discover patient behavior on their own.

People did.

That is why I reject the framing of the “solo” A.I. entrepreneur. He is not solo. He is surrounded by invisible labor. The difference is that the labor has been relabeled as data, the data has been treated as free, and the balance sheet has been arranged to hide the bill.

That hidden bill is what I call the Data Cap Table.

A cap table tells you who made the enterprise possible and who has a claim on its value. In the old world, that usually meant founders, investors, and employees. In the real digital economy, that table is incomplete. It leaves out the people whose informational inputs made the enterprise functional, scalable, and profitable in the first place.

So let us say plainly what the business press will not say plainly: if your company is powered by A.I., then your company is powered by us.