One Company, $5 Trillion, Circular Money

I need to tell you something that's going to make you uncomfortable.

On October 29, 2025, Nvidia became the first company in history to reach a $5 trillion market valuation.

The same week, analysts started asking a question nobody wanted to answer:

"Wait... is all this money just going in circles?"

And they're right to ask.

Because when you follow the money trail in AI, you don't find a thriving ecosystem.

You find a closed loop where the same handful of companies are passing billions back and forth—creating the illusion of explosive growth while the fundamentals tell a very different story.

This is the AI money wheel. And today, I'm going to show you exactly how it works, why Wall Street is starting to panic, and what you need to do before the wheel stops spinning.

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Nvidia's stock surged on October 29th, making it the first publicly traded company to ever hit $5 trillion in market capitalization.

Here's the scale we're talking about:

But here's what makes this different from every other tech milestone you've seen.

This didn't happen because of revolutionary new products.

This didn't happen because AI suddenly started printing money.

This happened in just three months while the company was engineering the most elaborate financial daisy chain in Silicon Valley history.

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Here's how the AI money wheel actually works.

And I'm warning you—this is going to sound insane.

The OpenAI-Nvidia Loop:

In September 2025, Nvidia agreed to invest up to $100 billion in OpenAI to finance massive AI data center buildouts.

Sounds great, right?

But here's the catch:

In exchange for Nvidia's funding, OpenAI committed to purchasing millions of Nvidia GPUs for those same data centers.

Translation: Nvidia is literally bankrolling its own future sales.

They give OpenAI $100 billion, and OpenAI immediately spends it on... Nvidia products.

The complete loop is visible above.

Every dollar spent by one company becomes revenue for another in this closed system.

Bloomberg calls it "an increasingly complex and interconnected web" fueling a trillion-dollar AI boom.

But is it real growth? Or just money going in circles?

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Remember when I showed you exciting AI tools in my last newsletters?

The ones that can build apps in minutes?

This is the other side of that coin.

Investment analysts are explicitly comparing this to the late 1990s, when tech companies used "circular financing" to inflate valuations right before everything crashed.

Here's what the experts are saying:

Here's the uncomfortable reality that Built In just exposed:

CEO John Kim from Sendbird put it perfectly:

Translation: The numbers literally don't add up.

Companies are spending money they don't have on infrastructure that may not generate returns for a decade—if ever.

The real problem: Many of the biggest AI investors don't have the cash flow to support their spending.

Companies going into debt for AI:

One analyst compared this to 2008: "Homes were being sold to people who absolutely could not afford them."

Sound familiar?

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Yale researchers identified the pattern.

When investment into a craze is fueled by high-risk or circular sources, it corresponds to the end of the cycle.

Every. Single. Time.

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Here's what makes this so insidious.

The circular deals make it look like explosive growth is happening.

Nvidia reports: "Record quarterly revenue from AI infrastructure!"
Reality: Much of that "revenue" came from companies Nvidia itself funded.

OpenAI reports: "Massive data center expansion!"
Reality: Built with Nvidia's money, buying Nvidia's chips.

CoreWeave reports: "Billions in cloud contracts!"
Reality: Primary customer is OpenAI (funded by Nvidia), with Nvidia as backup buyer.

Bernstein Research found something fascinating.

Despite massive AI spending by Big Tech's "Magnificent Seven," their actual profits aren't coming from AI.

Their real profit sources:

AI spending? Pure cost center. No significant revenue yet.

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While we're obsessing over valuations, here's something that should terrify you.

Nvidia—the world's first $5 trillion company—ranked DEAD LAST in supply chain decarbonization, according to Greenpeace East Asia.

The shocking data:

The grades:

The report found: "Nvidia hasn't set ANY renewable energy goals for its supply chain."

Think about that.

The company driving the entire AI revolution—worth more than most countries—has zero commitment to sustainable manufacturing.

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Yale researchers identified three scenarios for how the AI bubble could pop:

Scenario 1: Technological Disruption
A breakthrough in chip design or quantum computing makes current infrastructure obsolete overnight.

Scenario 2: Concentrated Collapse
A small group of companies is securing most deals. If one major player can't pay its debts, the entire web of circular financing unravels.

Scenario 3: Capital Exhaustion
Investors eventually demand actual returns, not just capacity announcements. Spending spree ends abruptly.

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Where are you in this matrix?

If you're in the red zone (top-left), start your exit plan today.

If you're yellow (top-right), diversify immediately.

If you see 3+ of these signals at once, the bubble is popping.

Don't wait.

Your 60-Day Timeline:

Weeks 1-2: Assessment

Weeks 3-4: Skill Diversification

Weeks 5-6: Income Diversification

Weeks 7-8: Network Expansion

If you're positioned right, the crash creates opportunities:

When the bubble pops, buy:

Skills that become MORE valuable post-crash:

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Here's what I think happens next.

The bubble WILL pop.

The math doesn't work. The circular financing can't sustain itself.

As Yale researchers noted, this pattern has failed every single time it's been tried.

Pitchbook reported that nearly two-thirds of deal value in the U.S. went to AI in first half of 2025, up from 23% in 2023.

That's not sustainable growth—it's mania.

But AI itself isn't going away.

Just like the dot-com crash killed hundreds of companies but gave us Amazon, Google, and the internet infrastructure we rely on today—the AI bubble will burst, companies will fail, but the technology will survive and eventually transform everything.

The difference this time?

The stakes are higher.

AI-related spending drove 1.1% of GDP growth in first half of 2025.

When this unwinds, it won't just hurt tech workers—it could trigger a broader economic slowdown.

❓ If Nvidia is so confident, why do they need to fund their own customers?

❓ If AI is so revolutionary, why isn't it generating real revenue yet?

❓ If this is the future, why does it need circular financing to survive?

❓ If OpenAI is worth $80 billion, why are they losing $12 billion per quarter?

The harsh reality:

The $5 trillion valuation is built on expectations, not results.

The circular financing creates an illusion of demand.

Many AI companies will not survive the correction.

Nobody is coming to save you when it crashes.

But also:

You now know what to watch for.

You have time to position yourself.

The best opportunities come AFTER bubbles pop.

Those who prepare now will thrive later.

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Which position are you in?

Hit reply and let me know:

I read every single response. Seriously.

To your unfair advantage,
Dan Rice from AI Signal

P.S.If this newsletter opened your eyes to what's really happening in AI, forward it to one person who needs this reality check. The people who see the bubble coming position themselves toprofitfrom it. The people who ignore it lose everything.

P.P.S.Next week: "The AI Companies That Will Survive (And The Ones That Won't)" - I'll name names and show you exactly which companies have real business models vs. which ones are smoke and mirrors. Subscribe now so you don't miss it.