Episode summary
The True Cost of AI Hidden in Big Tech's Financials | WSJ’s Take On the Week
The Journal
· · Hosts: Telis Demos, Miriam Gottfried · Guests: Jonathan Weil, Kevin Koharki
Summary
The discussion argues that the biggest AI hyperscalers may look far more profitable than they really are because standard free cash flow calculations miss part of the cost of stock-based compensation. The guest says that for companies like Meta and Alphabet, the cash spent to withhold taxes and buy back shares to offset dilution can wipe out most of the reported free cash flow, turning what looks like a large surplus into something much smaller once the full compensation cost is included.
The host and the analysts also argue that this matters because the AI buildout is forcing companies to move from asset-light models toward debt-fueled, asset-heavy businesses. They say firms such as Microsoft, Meta, Alphabet and Nvidia are funding data centers, engineering talent and other infrastructure at a pace that may outstrip the cash their legacy businesses generate, especially if buybacks slow and borrowing rises. The guest says the market and many sell-side models are not properly reflecting that shift.
They also question whether current valuation metrics, including EBITDA-based multiples and forward earnings estimates, are capturing the lag between today’s revenue from AI chips and tomorrow’s depreciation, reinvestment and dilution costs. The guest says the long-term picture could also include life-cycle expenses such as energy and water use, making the reported numbers an incomplete guide for investors trying to value these businesses.
Key takeaways
- The guest says Meta’s 2025 free cash flow falls from about 46 billion to 5 billion after adjusting for stock-based compensation and related buybacks.
- The guest says Alphabet’s 2025 free cash flow drops from 73 billion to 24 billion once similar adjustments are made.
- The analysts argue that EBITDA-based valuation can understate leverage because stock-based compensation is often added back into adjusted EBITDA.
- The guest says the AI buildout is pushing hyperscalers from asset-light balance sheets toward more debt and potentially more share issuance.
- The host says the market is still pricing these companies as if the cash generation will rebound quickly, but the guest doubts that assumption.
Notable quotes
“You take those two elements and now you're down to like almost no earnings, almost no free cash flow”
“For Meta, it went for 2025, free cash flow went from 46 billion to 5 billion”
“all of these companies, Microsoft, Meta, Alphabet, you name it. Now, they're taking on a lot of debt”
“I think I I very concerned, and uh with a lot of the consulting work I do, I get to work with a lot of engineers that are involved in building some of these things or using this technology”
How the episode opens
All of these companies, Microsoft, Meta, Alphabet, you name it, they now have to go use their balance sheet to a degree they wouldn't have had to otherwise, technically. And so, I have no problem with that, run your business the way you want to, but present it a little more cleanly so people understand, well, okay, part of this is not just AI data center build out or whatever it is, part of this is compensation. And as an investor looking to value the business, I need to know what the real number is that I should use.
Hi, I'm Telis Demos. Today's show we're going to be talking all about the Knicks. We're going to go over every basket No, I'm kidding. Actually, today's show is about AI hyperscalers and free cash flow, but don't worry, it will be just as exciting as all the NBA playoff games were. Uh first, I want to introduce Kevin Coharki. Kevin, say hi.
How you doing, guys? A real pleasure to be here. Thanks for having me. — Kevin is a long-time financial analyst and a principal at CAE Consulting. He's also a professor at Purdue University. And over here we've got the WSJ's own Jonathan Weil. John, say hi.
Hi, Telis. Hi, Kevin.
Uh John works with me at Heard on the Street, and for those of you who aren't already familiar with John's work, he is basically the goat of accounting-driven reporting. Uh and he's been doing it since the days of Enron and WorldCom. Uh all right, so why why have I got these guys here today?
I know that a lot of you out there in the audience are very worried about whether or not we're in some sort of AI-driven bubble.
From the episode’s captions: roughly the first two minutes, lightly cleaned. Keep watching on YouTube →
Topics
- ai capex
- stock-based compensation
- free cash flow
- shareholder dilution
- financial transparency
Companies and tickers mentioned
- META
- MSFT
- NVDA
- GOOGL
- GOOG
- Meta
- Microsoft
- Nvidia
- Alphabet
Watch the episode
Watch “The True Cost of AI Hidden in Big Tech's Financials | WSJ’s Take On the Week” on YouTube
Summary, takeaways and quote selection by Octagon. Quotes are short excerpts; the full conversation is in the episode.
More from The Journal
-
Nvidia Built Its AI Empire on Jensen Huang. What Happens Without Him? | WSJ Tech News Briefing -
What Happens When Everyday Investors Buy the Dip? | WSJ’s Take On the Week -
How North Korean Hackers Pulled Off a $6.3 Billion Crypto Heist -
Why Apollo’s CEO is Betting Billions on a 'Global Industrial Renaissance' | WSJ Leadership Institute -
Tech Stocks and AI Bonds Are Tumbling. Is the AI Trade in Trouble? | WSJ’s Take On the Week -
Why Anthropic Needs $100B More to Keep Growing | WSJ Tech News Briefing
The Journal, this episode and its artwork belong to The Wall Street Journal & Spotify Studios. Octagon is not affiliated with the show; this page is an independent summary.
