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  • NVIDIA just teamed up with 6 Wall Street giants to unlock over $500 billion for AI computers

  • How the new financing plan actually works, and why NVIDIA needed Wall Street's help

  • What Jensen Huang and top analysts are saying about "circular financing" worries

  • 3 stocks that could benefit most, unlocked inside The Profit Academy

"In AI, compute is revenue."

- Jensen Huang, Founder & CEO of NVIDIA

NVIDIA Just Recruited Wall Street's Biggest Names

On August 10th, NVIDIA announced something big. It signed deals with six of the largest money managers on the planet, Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR, to raise more than $500 billion to help build the data centers that power artificial intelligence.

Think of it this way: NVIDIA builds the "engines," which are its computer chips. Now six of the richest banks and investment firms in the world are lining up to help pay for the "factories" that house those engines.

That is a big shift and it changes how AI infrastructure gets built from here on out.

Sound familiar?

Over 4 million people have had the same lightbulb moment.

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The Deal, Explained Like You're In 5th Grade

Building an AI data center is incredibly expensive. Just one site can cost tens of billions of dollars once you add up the chips, the buildings, and the power. Until now, NVIDIA's customers mostly had to pay for that themselves, out of their own pockets.

NVIDIA just changed that entirely.

It signed agreements with six of the largest money managers on the planet, Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR, to build brand new "financing platforms." Think of these like giant, dedicated loan programs built only to fund AI computer warehouses, which NVIDIA calls "AI factories."

The goal is to raise more than $500 billion from big investors like pension funds and insurance companies, then lend that money to NVIDIA's customers so they can build faster without draining their own bank accounts.

How The Deal Is Structured

Here is the simple version of how the money is supposed to move:

  • The six firms create dedicated pools of money aimed only at AI infrastructure.

  • NVIDIA's chips and data centers act as collateral, the thing a loan is backed by, similar to how a house backs a mortgage.

  • Companies building AI factories, like cloud providers and AI labs, can borrow from this pool at attractive rates instead of tapping their own balance sheets.

  • NVIDIA may guarantee a slice of qualifying loans too (up to 25%), which gives lenders extra confidence to say yes.

Meet The Money Behind the Deal

Firm

Approx. Size

Their Role In The Deal

Apollo

~$1.05 trillion AUM

Credit and retirement-savings capital

BlackRock

~$15.3 trillion AUM

World's largest asset manager, long-term capital

Blackstone

~$1.3 trillion AUM

World's largest alternative asset manager

Brookfield

~$1 trillion AUM

Infrastructure and real assets specialist

Goldman Sachs

Global investment bank

Underwriting the new credit market

KKR

~$796 billion AUM

Long-duration infrastructure capital

Why NVIDIA Needed This

Here's what critics have been pointing out: NVIDIA's biggest customers already spend enormous sums of money buying NVIDIA chips. If NVIDIA also helps finance those same purchases, some worry it starts to look like NVIDIA is lending money to itself in a circle.

That is called "circular financing" and it has made some investors nervous.

NVIDIA's answer is that these six firms are independent. Each one does its own due diligence before deciding to lend, and each one takes on the risk itself, not NVIDIA.

Wells Fargo analyst Aaron Rakers said the company is playing "a much bigger game than just a supplier in AI infra build-outs."

The market's first reaction was mixed. $NVDA ( ▼ 2.32% ) shares actually fell nearly 3% on the day of the announcement, as some investors worried about credit risk.

By The Numbers

Metric

Figure

Capital goal

$500 billion+

Financial partners

6 (Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, KKR)

NVDA move on announcement day

~ -2.9%

NVDA move the day after

~ +1.3%

NVIDIA's potential loan backstop

Up to 25% of qualifying loans

What It Means For The Future of AI

If you zoom out, this is about more than one company's balance sheet. NVIDIA just took a first step toward turning computer chips into an investable asset class, similar to how office buildings, toll roads, and apartment complexes get financed today. If it works as planned, here is what could change:

  • More companies, not just giant tech firms, could get easier access to AI computing power as financing gets simpler.

  • AI infrastructure could get built faster, since builders will not need to save up cash first.

  • A brand-new credit market could form around "compute-backed" loans, similar to how mortgages get bundled and sold to investors today.

It is not all upside though.

Nobody has said yet who absorbs the loss if a borrower cannot pay, and the entire plan depends on AI demand staying strong enough to make the debt worth it.

If headlines like this one make your head spin, that is exactly why I put together The Retail Investor's Playbook. It walks you through exactly how to read news like this and decide what it means for your own portfolio.

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The Bottom Line

NVIDIA did not just sell more chips this week. It built a bridge between Silicon Valley and Wall Street, one that could unlock hundreds of billions of dollars for AI infrastructure over the next several years.

Whether you own NVIDIA or not, this deal will likely shape how every AI-adjacent stock gets valued from here on out.

Below I’ll name 3 stocks I think could benefit most as this financing machine ramps up, and exactly why.

Join our Premium tier to keep reading below.

Alex (The Dividend Dominator)
Founder and CEO of Dividend Domination Inc.
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🔓 3 Stocks That Could Ride This Wave

Now that you know how the deal works, here is the part I think matters most for your portfolio. Below, Profit Zone Premium members get my breakdown of 3 stocks that could benefit most as this $500 billion financing machine ramps up, and exactly why each one made the list. Upgrade below to keep reading.

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