Agentic AI use cases — like having ChatGPT watch Zillow for you and email you the moment a listing matches — consume far more compute than a simple search, so if these use cases take off, the compute crunch gets dramatically worse than what the market prices in today.
Cantz and the hosts point out that real agentic use — ChatGPT checking Zillow every 30 minutes and flagging matching listings — is just beginning, and each such action costs far more compute than answering a search query. With 5-10 million people on agentic ChatGPT today and everyone using Gemini inside Google Search, these use cases scaling up means a much bigger compute crunch is coming — and we'll look back at today's use cases as primitive. ✦ AI generated
Josh Brown · The Compound · 2026-07-31 · original ↗
starts at this moment · 67:41
“They're not going to be able to make enough because it's a shortage of everything. If 2% of the world is use is adopting this technology, how is the shortage of everything going to be solved?”
I think this is a really good point that it's worth worth highlighting. We're about, it seems like we're about to go into this moment where if this use case takes off, where if people start to trust AI, like for instance, I have AI, I used to check because we're trying to get a bigger apartment. So, I used to check Zillow every day. I had my specs, I had my safe searches, I would check it. Now, I have chat GPT search it every 30 minutes and when something new hits that I want in my chat GPT, it shows up with a link to it. And by the way, uh the next thing is I was going to say the next thing the next thing I'm gonna have it do is, you know, every time it hits this send an email because it has access to my email. So doing these things takes far more compute than giving an answer on Google. And so if these use cases take off, you are looking at a a much bigger crunch for that compute than you have already.
verbatim transcript · starts at 67:41
67:31business. You can't they can't not do this. >> Oh, you're looking at 82% growth on from Google at 43% growth from Microsoft. Even if you have a much higher base, you can't you cannot afford to sit still at 17 18%. >> So, here's what they said in the report. They exceeded a $2 billion annual revenue run rate for AWS's AI business. >> That's a lot of money.
67:51>> Holy >> A lot of that is probably coming from anthropic. >> Why are the why are these three businesses treated differently than Oracle? >> Uh that's a good question. I mean, I don't know. >> It's just a question of scale. >> Well, isn't it because Oracle is just so wholly dependent on OpenAI and people are worried if OpenAI is going to make good on its commitments? Whereas if
68:10you're Amazon and >> I don't know. Is that the reason? >> That's what I believe. Okay, >> so if you're Amazon, I mean not wholly dependent, but largely dependent on open AI. >> If you're Amazon and you say, "Well, we're going to build the compute. Everybody can bring their models." >> There was a time in the stock market 6 months ago where if there was bad news,
68:29bad news, if there was something questionable reported about OpenAI, Microsoft stock would fall. And if the same thing happened with Anthropic, Amazon would fall. >> But I don't think it's that cut and dry anymore. >> No. because anthropic is everywhere >> and opening eye and Microsoft broke up and I just I just don't think it's quite as uh black and white who's on whose side or you know which hyperscaler is
68:54rooting for which model. I think that's over. It's just a a battle royal now. >> But Oracle and OpenAI are very linked and to build to build what Open AI needs. I think Oracle just kind of yoloed >> and said if this works out we're going to be a much bigger company. If this doesn't work out, God help us. >> They probably regret uh that contract. >> Only if it doesn't work out. Only if it
69:15doesn't work out, but the user growth for Open AI is exploding. >> But the stock is down 70%. >> This is Go ahead. Go ahead, Mike. >> So, all right, enough about that. I want to get your take on this. So, >> can I just say one more thing about this? Like, I had a conversation with Paul Kadski, who's a investor analyst. >> We know we know Paul.
69:33>> Paul, he's great. And basically like what we came to was um for a lot of this bet it's just that you have a call option on AGI. So if AGI is achieved you're going to do well and if AGI is not achieved you're going to be in trouble very expensive call option. >> It's extremely it's the whole the whole farm call option and I think for no one
69:53is that more true than Oracle. >> This is what I wanted to get your your your thoughts on. Did you read Darkh's >> Yes. >> Okay. So Josh listen to this. So he wrote a blog post why compute might get 10 times more expensive in the coming years. And he said revenue has 10xed year-over-year. 10x. >> That's right. >> Enthropic likely ends the year with a hundred to $150 billion of revenue for