🧠 AI, Money, and the Communist Paradise That Will Probably Never Happen

I was recently putting together a post for LinkedIn about AI and the future of business. But the more I thought about it, the more uncomfortable the implications became.

Let’s start with something obvious.

Why are companies investing hundreds of billions in artificial intelligence?

To reduce costs, improve efficiency, and ultimately make more money.

Individuals want pretty much the same thing.

We all probably know someone building AI trading agents with Claude, Hermes, or another model. Apparently, some people are even making money with them. Or so I’ve heard.

But what happens when AI becomes significantly better at making money than humans?

🔬 The Age of Autonomous Entrepreneurship

AI is already helping researchers solve difficult mathematical problems, accelerate discoveries in biology, and explore scientific questions that would otherwise take years of human effort.

There’s little reason to assume that identifying profitable business opportunities will remain an exclusively human advantage.

Imagine a future with billions — perhaps hundreds of billions — of autonomous AI agents operating continuously.

Not just answering questions or generating presentations.

Actually building businesses.

Analyzing markets. Discovering underserved niches. Writing software. Launching products. Testing pricing strategies. Acquiring customers. Optimizing operations.

And doing all of this simultaneously, at a speed no human organization could possibly match.

Now let’s take this thought experiment a little further.

⚡ The One-Hour Corporation

Imagine a technology giant operating an enormous army of AI agents.

• After one second: One million business ideas generated and virtually evaluated.

• After one minute: The thousand most promising opportunities identified.

• After ten minutes: A hundred products launched, with some already generating their first revenue.

• After one hour: Ten functioning businesses operating in real markets.

• After ten hours: Several have already been shut down because the agents discovered better opportunities.

Of course, this is a hypothetical scenario, not a technological capability we possess today.

But the underlying idea is fascinating.

What happens to our understanding of entrepreneurship when the lifecycle of a company shrinks from years to hours?

What happens to competitive advantage when discovering a profitable opportunity takes milliseconds — and thousands of competing agents discover exactly the same opportunity?

And what happens to human entrepreneurs when intelligence itself becomes an industrial resource?

🌍 Welcome to the Communist Paradise?

Here’s the paradox.

If everyone has access to AI capable of creating successful businesses, shouldn’t everyone have an equal opportunity to become wealthy?

Unlimited intelligence. Unlimited entrepreneurial potential.

A wonderful technological version of a communist paradise.

(A little hello to Elon Musk and his vision of Universal High Income.)

Except I don’t believe this paradise will ever arrive.

Because access to intelligence and control over intelligence are two very different things.

The companies developing the world’s most powerful AI models will sell increasingly capable systems to millions, perhaps billions, of customers.

But why would they necessarily give everyone the same capabilities they possess internally?

The most advanced models, enormous GPU clusters, specialized infrastructure, and the ability to deploy millions of agents simultaneously could remain concentrated among a relatively small number of companies.

Yes, there’s open source.

Yes, there’s China.

Yes, technological competition will continue.

But even if two companies have access to exactly the same AI model, their economic capabilities may differ enormously.

One can afford ten agents.

Another can afford ten million.

And those ten million agents can continuously experiment, compete, learn, and improve their strategies.

The future may not be determined by who has access to AI, but by who can afford to deploy intelligence at scale.

🏢 Now Think About Your Own Business

Imagine you’re running a successful technology company.

Not a small startup. A serious organization with 5,000 or 10,000 employees.

You have customers, a platform, intellectual property, revenue, and an established market position.

You compete with other companies of comparable size.

But what happens if one of the AI giants, equipped with dramatically superior computing infrastructure, decides to enter your industry?

What if it can create, test, and scale ten competing businesses faster than your management team can organize a strategy meeting?

Your company may have spent ten years building its competitive advantage.

An AI-powered competitor might attempt to replicate much of that advantage in a fraction of the time.

Of course, real-world businesses have regulatory barriers, relationships, physical infrastructure, trust, and other advantages that cannot simply be generated by an LLM.

And AI companies may find it more profitable to sell intelligence than to compete directly in every industry.

But what if they decide otherwise?

💰 The New Economics of Intelligence

For centuries, economic inequality has been shaped by unequal access to land, capital, education, information, and technology.

Artificial intelligence introduces another possibility: inequality based on access to computational intelligence.

The paradox is almost beautiful.

A technology that promises to democratize knowledge could simultaneously enable an extraordinary concentration of economic power.

And perhaps the most important competitive advantage of the future won’t be your education, your talent, or even the size of your company.

It will be how much intelligence you can afford.

Anyway, as someone once suggested, perhaps it’s time to buy some land, grow corn, raise goats, and start making wine.

At least until AI figures out how to do that better, too. 🍷

🙂 Not a bug. A feature.