I saw a post on X along these lines:

NVIDIA had proposed a massive scheme to raise capital using its AI chips as collateral — but the poster doubted its cutting-edge chips or the infrastructure around them were really worth that much, said Wall Street was cold on it too, and concluded AI is an overvalued bubble likely to cool off eventually.

I’d been curious about the AI bubble question for a while, so I decided to check this claim myself.

1. The NVIDIA GPU-collateral financing scheme is real

The first half of the post — NVIDIA’s actual proposal — checks out.

In August 2026, NVIDIA announced a framework with six major financial firms — Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR — to raise up to $500 billion over the long term, using AI compute (GPUs) as collateral.

Here’s roughly how it works: a special-purpose vehicle backed by NVIDIA’s GPUs issues debt to banks and institutional investors. The money raised builds data centers, fills them with GPUs, and leases the compute to NVIDIA’s customers. If the GPUs’ collateral value comes in lower than expected, NVIDIA itself has agreed to backstop up to 25% of the shortfall — as much as $125 billion.

In short: NVIDIA is using the very chips it makes as collateral to pull in other people’s money.

2. Wall Street being skeptical is also real

The second claim — “Wall Street is cold on this” — also holds up.

On October 1, 2026 (the day before the post I saw), an article ran with this headline:

Nvidia’s bet that its chips can finance the AI boom gets a Wall Street reality check

Named finance professionals voiced specific concerns:

  • Tony Trzcinka, Impax Asset Management: “Wall Street is much more conservative.” While NVIDIA claims its GPUs can keep earning for a decade, banks typically underwrite GPUs on a 3–4 year depreciation schedule.
  • Andrew Chang, S&P Global Ratings: states they take a “conservative view” of GPU value.
  • Brian Gelfand, TCW: “The creditor community does not subscribe to long average lives for these assets.”

Banks reportedly want more than NVIDIA’s own 25% guarantee — they’re looking for the deals to be backed by revenue streams from investment-grade customers too.

So far, both halves of the post check out as fact.

3. “AI is a bubble” is where it jumps the rails

The post ends with: “AI is an overvalued bubble, and the odds are high it’ll cool down.” I checked this too.

First: “Wall Street is conservative about how long GPU collateral will hold its value in this specific financing structure” and “AI as a whole is a bubble that’s going to collapse” are two different claims. The first is a narrow, technical concern from finance professionals about the design of one financial product. The second is a much bigger claim about the entire AI sector’s market cap being disconnected from reality.

The person who wrote the post is not a finance or semiconductor professional. Their “it’s a bubble” conclusion should be read as personal opinion, carrying nowhere near the weight of the named finance professionals quoted above.

That said, the “AI bubble” thesis isn’t baseless either, so I looked into it separately.

Evidence supporting a bubble

  • The S&P 500’s Shiller CAPE ratio stood at 40.6 as of September 2026 — above the pre-1929-crash level (32.6) and closing in on the all-time dot-com peak (44.19, November 1999). A multi-month stretch above 40 has, historically, only happened once before: during the dot-com bubble.
  • Ruchir Sharma, Chairman of Rockefeller International (who spent 25 years at Morgan Stanley Investment Management as Head of Emerging Markets and Chief Global Strategist), argues the AI boom checks every box of his own “four Os” framework: overinvestment, overvaluation, over-ownership (US household equity allocation at an all-time high), and over-leverage (Meta, Amazon, and Microsoft have each become among the largest corporate bond issuers in recent months). He warns that rising interest rates could be “the one trigger” that sets off a collapse.
  • Major AI stocks like NVIDIA and Broadcom are trading at price-to-sales ratios above 30, a level that has historically preceded sharp corrections.
  • An MIT study found 95% of companies that implemented AI solutions saw no measurable ROI.
  • There’s a “duration mismatch”: AI infrastructure spending exceeds $400 billion a year, while enterprise monetization lags far behind.
  • Capital Economics, a research firm, says AI “has many of the characteristics of a bubble.”
  • Per CNBC (September 10, 2026), one Wall Street firm believes the AI stock boom is “nearing an end.”

Evidence against a bubble

  • Dan Ives, Senior Managing Director at Yorkville Ives, describes the current AI trade as “a 1997 moment, not a 2000 bubble.” His reasoning: the projected $4-5 trillion in AI infrastructure spending is only about 15% complete, suggesting an early-stage long cycle rather than a peak; today’s AI leaders already generate substantial cash flow and high operating margins, unlike the unprofitable startups of 1999; and NVIDIA’s P/E ratio (around 19x) is far below Cisco’s during the dot-com era (over 100x).
  • Savita Subramanian, Bank of America’s head of US equity strategy, has argued against a full bubble-collapse scenario, instead warning investors to brace for a temporary “air pocket” driven by data-center debt piling up, rather than a dot-com-style bust.
  • 2026 corporate earnings growth is projected at 12.9%, and 12.7% for 2027 — the underlying business performance is solid.
  • Unlike the unprofitable dot-com-era startups, today’s major AI companies are built on already-established, highly profitable businesses.
  • Even Capital Economics, despite listing bubble-like traits, doesn’t expect a collapse within 2026.
  • Goldman Sachs and J.P. Morgan argue the growth is fundamentally justified by earnings.

Laid out side by side, it’s clear the “is it a bubble” question isn’t settled among experts right now. A post that states “the odds are high” is asserting more certainty than the actual state of the debate supports.

Summary

  • NVIDIA’s GPU-collateral financing scheme: fact
  • Wall Street being skeptical of it: fact, backed by named finance professionals
  • AI being an overvalued bubble likely to cool soon: the opinion of one author/individual investor, on a question experts themselves haven’t settled

When fact and opinion get mixed into the same post, the credibility of the fact ends up lending itself to the opinion too. That’s the clearest thing this fact-check turned up.

Sources