PG Prof G Markets

Podcast

Prof G Markets

Prof G Markets is your daily briefing on the news moving markets — from earnings and geopolitics, to Big Tech and AI. Hosted by Scott Galloway and Ed Elson, we cut through the noise with no-BS analysis. Tune in to understand what's happening, why it matters, and how to stay ahead. Fast takes. Clear insights. No jargon — just signal. Have a question or comment for us? Reach out to markets@profgmedia.com. Part of the Vox Media Podcast Network.

Website ↗ Last published 3 November 2026 447 posts collected by Sputnik

Said on Prof G Markets

“Total AI-linked debt issuance, the numbers come from Bank of America: in 2025 it was nearly $400 billion. This year it's going to be about $655 billion. And next year's forecast is $1 trillion. … Those debt payments are due whether or not the AI investments are paying off. So it leaves less room for mistakes, and it makes any kind of slowdown more painful.” — Deirdre Bosa, Prof G Markets
Deirdre Bosa · 3 Nov 2026 Listen →
“The quarter-on-quarter growth rate for revenue has fallen to something like 47, 48% in these latest Q3 numbers, but the quarter-on-quarter growth in compute costs went up almost 80%. So at the moment, that's increasing more quickly than their revenue.” — John Foley, Prof G Markets
John Foley · 3 Nov 2026 Listen →
“My issue with this IPO from the beginning has been that it is almost impossible to predict with any certainty where these revenue numbers are going to go. … They may be getting very close to or have passed what they described as the moment of dramatically accelerated progress attributable to AI, which is like when AI starts basically improving itself more broadly. And when that happens, then they are supposed to step on the brakes in certain ways to make sure that AI is being developed safely. What does that do to the revenue? It really is impossible to say at this point.” — John Foley, Prof G Markets
John Foley · 3 Nov 2026 Listen →
“Average annual infrastructure spending as a percentage of GDP: railroads, 1870 to 1890, on average every year, 2.2% of GDP. Highways, 1956 to 1973, 1.13%. Telecom and fiber, 1996 to 2003, 1.1%. The AI era, so far, 3.6% of GDP. The railroads did transform the world, but along the way there was a ton of bankruptcies.” — Scott Galloway, Prof G Markets
Scott Galloway · 2 Nov 2026 Listen →
“I believe NVIDIA has agreed to purchase or participate in the debt offering of Meta. And some of that money will be used to buy NVIDIA chips. So NVIDIA is not only selling the picks and the shovels, they're financing the mine, and they own the bank that's loaning the money to finance the mine to buy those shovels. It is literally the mother of all circular deals.” — Scott Galloway, Prof G Markets
Scott Galloway · 2 Nov 2026 Listen →
“Apple does not get enough credit. They're constantly second-guessed: why don't you have a cheaper computer? Why aren't you in AI? They have more discipline around what not to do than any company of that size. They put one chip down on VR. I think they spent a billion dollars on it. Meta spent 60 on it. They are better at saying no. They pulled the plug on the car. … The only Mag 7 company that has not decided to play in traffic in the AI arms race is significantly outperforming the others who are in this AI arms race.” — Scott Galloway, Prof G Markets
Scott Galloway · 2 Nov 2026 Listen →
“Reinforcement learning as a problem was solved actually faster than we anticipated. We thought it would take years. It took less than a year, both within external labs, but even within our own experiments.” — Misha Laskin, Prof G Markets
Misha Laskin · 1 Nov 2026 Listen →
“When something is not the core strategy of the company, you tend to not pay as much attention to it. And you tend to open source, you know, maybe like a lesser version of the thing that you're actually kind of monetizing. And that's kind of what we've seen from open source launches from Google… similar when OpenAI launched GPT-OSS.” — Misha Laskin, Prof G Markets
Misha Laskin · 1 Nov 2026 Listen →
“Compute is scarce because the amount of intelligence you can pack sort of per watt, let's say, keeps growing. So these models get smarter faster than our ability to stand up compute. And when you're in the intelligence market, that's kind of like the market of artificial labor.” — Misha Laskin, Prof G Markets
Misha Laskin · 1 Nov 2026 Listen →
“It's very rare to see Chinese open models go into production in Fortune 500. And what that means is that our domestic enterprises do not have the same competitive edge, let's say, as the startups that are able to assume the risk and don't care about it… Our largest enterprises, our public sector agencies are operating at a competitive disadvantage to Chinese companies and also to other companies within our own ecosystem who are willing to take the sort of risk around it.” — Misha Laskin, Prof G Markets
Misha Laskin · 1 Nov 2026 Listen →
“The fact that there are great open models out there, period, doesn't matter where they come from, is a gift to us all… If you were to take away open source models altogether because of some geopolitical worries, it would actually hurt the American innovation ecosystem.” — Misha Laskin, Prof G Markets
Misha Laskin · 1 Nov 2026 Listen →
“I think that the way we probably need to reposition our thinking about AI is that the models are a commodity like electricity or water… So I think what's happening in terms of margin compression on the model side is a healthy thing because intelligence should be viewed as foundational and fundamental as electricity, water. It's a commodity.” — Misha Laskin, Prof G Markets
Misha Laskin · 1 Nov 2026 Listen →

Hosts

Prof G Markets is hosted by Ed Elson , Scott Galloway , Claire Miller and Chris Anderson .

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Guests

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