Episode summary
The AI Boom Is Creating a Financial System We Haven't Seen Before (Paul Kedrosky Explains)
The Meb Faber Show
· · 45 min · Hosts: Meb Faber · Guests: Paul Kedrosky
Summary
Paul Kedrosky argues that AI is not just another technology cycle but a scale event sitting at the intersection of loose credit, a great technology story, real estate, and policy pressure. He says the market is misreading AI through the lens of early coder adoption, even though that first use case was unusually narrow and has distorted projections for data center demand, token growth, and financing needs. In his view, tokens are already the fastest-deflating commodity ever, falling 70% to 80% a year, which creates a brutal economic math for frontier model companies and makes the sector unusually fragile at high valuations.
He also says the funding structure has changed in a way that should worry investors: by mid-2026, more than half of hyperscaler and data center financing is coming from outside cash flow, through ABS, private credit, sovereigns, and SPVs. Kedrosky frames that as a classic financial flywheel, where capital becomes detached from the underlying utility of the asset and starts to look more like the 2007-08 debt machine. He adds that AI infrastructure is already distorting sovereign funding markets and pushing up longer-term rates.
On competition and valuations, Kedrosky says model performance has largely flatlined and converged, with harnesses masking the slowdown. He thinks the bigger story is not better models but a coming supply wave in chips, IPOs, and data centers that will pressure the market’s winners. He also argues AI is already a major driver of U.S. GDP growth, which means many macro narratives are being misread from the wrong causal angle.
Key takeaways
- Kedrosky says AI tokens are deflating 70% to 80% a year, forcing frontier companies to grow around 400% just to stand still.
- He argues more than half of data center and hyperscaler financing in mid-2026 is coming from external capital, not internal cash flow.
- Kedrosky says the AI market now combines loose credit, technology mania, real estate, and policy pressure in one bubble-like setup.
- He believes model gains have flatlined and converged, with harnesses disguising slower underlying progress.
- He says AI-linked companies are already a large and growing share of U.S. GDP growth, so many macro explanations miss the real driver.
Notable quotes
“This moment is the first one that sits at the intersection of all of the forces that created the largest bubbles in US history”
“tokens are the first hyper deflationary commodity in the history of of modern economies”
“the projections that were made in the first four years of large language model adoption are largely useless”
“we've now in 2026, the first half of 26, we crossed over from more than half of the financing for data centers specifically”
“Tokens are the first hyper deflationary commodity in the history of of modern economies. because they're under immense price pressure”
How the episode opens
This moment is the first one that sits at the intersection of all of the forces that created the largest bubbles in US history. I joke all the time that from the standpoint of most of the lenders that I talk to, there could be hideand go seek competitions going on inside the data centers and they wouldn't give a tokens are the first hyper deflationary commodity in the history of of modern economies. Good God, I hope we don't I don't go crashing down because I I need to grow at this speed just to stand still.
Welcome to the Met Favor Show, where the focus is on helping you grow and preserve your wealth. Join us as we discuss the craft of investing and uncover new and profitable ideas, all to help you grow wealthier and wiser. Better investing starts here.
Met Faber is the co-founder and chief investment officer at Camry Investment Management. Due to industry regulations, he will not discuss any of Camry's funds on this podcast. All opinions expressed by podcast participants are solely their own opinions and do not reflect the opinion of Camry Investment Management or its affiliates.
For more information, visit kimriinvestments.com.
Summertime's over, everybody. So, we got an awesome guest today. Paul Kadski, a fellow MIT Institute for Digital Economy, partner SK Ventures, weather ski nerd. I mean, I remember him from back in the realm money street.com days, former sellside analyst, a little bit of everything. Paul, welcome to the show.
Hey, thanks, man. I'm glad to be here. — I want to kick it off with a a a quote. He says, "It's going to take a lot of AI to solve the problems of AI." What What do you mean by that?
One of the things that interests me in general, whether it's this particular episode or the global financial crisis or the dotcom meltdown, you know, take your pick your favorite implosion historically all the way back to like canals and railroads is scale.
From the episode’s captions: roughly the first two minutes, lightly cleaned. Keep watching on YouTube →
Topics
- ai economic impact
- data center financing
- ai tokens deflation
- tech debt and valuations
- ipo market effects
Companies and tickers mentioned
- SK Ventures
Watch the episode
Summary, takeaways and quote selection by Octagon. Quotes are short excerpts; the full conversation is in the episode.
More from The Meb Faber Show
-
How to Get Out of a Bubble Without Selling Too Early: Jeff deGraaf Explains -
The AI Narrative Is Hiding a Much Bigger Problem -
Vincent Deluard: Why the Stock Market Is More Fragile Than You Think -
It's a Bubble. So Why Is Citi's Dirk Willer Buying? -
36% of Your Portfolio Just Disappeared In the Last 30 Years (Andrew Ang Explains How) -
The Asset That Could Be the Market’s Biggest Mispricing
The Meb Faber Show, this episode and its artwork belong to The Idea Farm. Octagon is not affiliated with the show; this page is an independent summary.
