Alphabet Inc.

Chamath support ×2 ▲ on 🤖 Own AWS, Azure and GCP and nothing else — the clouds capture the AI application dollars E296 · 2026-11-07 ▶ 1:10:41

To the extent that that happens, maybe you'll get some regulatory capture on the one end, but you're going to constrain the supply so severely on the other, that the real people that will be in control of it are Meta, Amazon, Google, Microsoft, and SpaceX.

Chamath oppose ×2 ▲ on 🤖 Anthropic IPO (~Oct 2026) is attractively priced at $1.5-2T E296 · 2026-11-07 ▶ 1:10:41

You have to remember, the foundational model companies are not home-free. What does home-free mean? That they have a fortress balance sheet, a profitable business model, and quasi-infinite compute for their own ambitions. Right now, they are renters, and the renter class in data centers as of Tuesday is very much at risk.

Sacks support ×2 ▲ on 🤖 Frontier AI labs keep durable premium pricing (not commoditized) E296 · 2026-11-07 ▶ 1:10:08

What's going to get legislated is the quid pro quo. The quid pro quo is this. The government gets more power, and the duopoly of closed model companies get more regulatory capture or moats around their business. That's going to be the quid pro quo.

Chamath oppose ×2 ▲ on 🤖 Frontier AI labs keep durable premium pricing (not commoditized) E296 · 2026-11-07 ▶ 57:54

Why? Because if you constrain the amount of assets that can actually generate compute, and a smaller surface area of it is available to the leading companies, those leading companies will have to pay more, the user experience will decay, and then other products can have time to catch up.

Chamath support ×2 ▲ on 🤖 Independent frontier-model labs lose to hyperscaler capital E296 · 2026-11-07 ▶ 57:54

And now that is important because Anthropic and OpenAI are in a very fast recursive loop. They're on a 60 to 90 day loop in improving their models. So now all of a sudden, without an infinite amount of supply coming online, you can slow these folks down.

Chamath support ×1 ▲ on 🤖 Google wins consumer AI via distribution E296 · 2026-11-07 ▶ 57:54

So Google has a ton of capacity coming online. They could say, I'm going to give it to Gemini. What does that do? It actually allows Gemini to catch up in quality relative to the foundational models.

Jason support ×3 ▲ on 🤖 Google wins consumer AI via distribution E295 · 2026-10-30 ▶ 1:13:24

So for me, I just literally bought some shares. So I'm long. I just bought more shares of Google while doing the show.

Sacks oppose ×2 ▼ on 🤖 ChatGPT takes Google search share and the market starts pricing the decay E295 · 2026-10-30 ▶ 1:11:34

So Google search is still thriving, I think you could say. It's not growing that fast relative to other businesses, but you're not seeing it deteriorate yet.

Chamath support ×2 ▼ on 🤖 ChatGPT takes Google search share and the market starts pricing the decay E295 · 2026-10-30 ▶ 1:07:49

Because I think if this momentum builds, this idea that this franchise is essentially robbing Peter to pay Paul, pulling money from the future into the present to smooth out earnings, the market will react badly to it. You're seeing it today.

Friedberg oppose ×2 ▲ on 🤖 Google wins consumer AI via distribution E295 · 2026-10-30 ▶ 1:05:29

So it's a really hard question of what do we want to be at Google right now? I don't think that they have a great answer, and I don't think it came across well in the earnings report.

Friedberg support ×2 ▲ on 🤖 Own AWS, Azure and GCP and nothing else — the clouds capture the AI application dollars E295 · 2026-10-30 ▶ 1:03:30

When I say it's complicated, I think there's a story you can build in the Cloud business that shows the next couple of years of really progressive growth in that business.

Friedberg support ×2 ▼ on 🤖 ChatGPT takes Google search share and the market starts pricing the decay E295 · 2026-10-30 ▶ 1:03:30

As some people have pointed out, this may largely be driven by a change in the pricing algorithm for ads and how Google is now, in some cases, over earning for those clicks. And over time, advertisers will see that, they'll experience that, they'll reduce spend, they'll attrit some dollars, and it won't look as good of a business.

Jason support ×1 ▲ on 🤖 Frontier AI labs keep durable premium pricing (not commoditized) E295 · 2026-10-30 ▶ 52:55

Well, in the face of new evidence, you would have to say that they are lowering the prices and the opportunity in the enterprise is so great that they're not being dramatically impacted by it.

Jason support ×2 ▲ on 🤖 Anthropic IPO (~Oct 2026) is attractively priced at $1.5-2T E295 · 2026-10-30 ▶ 51:08

It's possible Anthropics business is bigger than the top three franchises in the history of business put together.

Chamath support ×2 ▲ on 🤖 Anthropic IPO (~Oct 2026) is attractively priced at $1.5-2T E295 · 2026-10-30 ▶ 32:06

And so the demands they're going to put on the capital markets into the IPO are going to be less, which means that they'll have more pricing power. They'll be able to manage the float better. All of these dynamics, I think, give you a constructive read going into the IPO.

Sacks reversal ×2 ▲ on 🤖 Independent frontier-model labs lose to hyperscaler capital E295 · 2026-10-30 ▶ 31:19

So you add it all up, and this is a company with over 300 billion of dry powder or it will soon have that. So then you've got all these Anthropic bears who are saying they've made all these CapEx commitments in the future, that they're never going to be able to live up to. Actually, this secures those commitments because they've got the capital now to basically back up all of those compute orders, all the forecasts of CapEx spending till, I don't know, 2030

Friedberg support ×2 ▲ on 🤖 Frontier AI labs keep durable premium pricing (not commoditized) E295 · 2026-10-30 ▶ 15:51

But I think what Claude is showing is that they have such a high margin. They actually have good elasticity on pricing. So they could push price down, and you could start to see them start to segment the market a little bit, where they could start to be more competitive, perhaps, with cheaper tokens for cheaper, easier tasks, and then premium tasks charge a higher price for intelligence, and start to stratify the value of the intelligence that they're providing by changing the price points.

Friedberg support ×3 ▲ on 🤖 Anthropic IPO (~Oct 2026) is attractively priced at $1.5-2T E295 · 2026-10-30 ▶ 11:19

So if you just say, hey, look, Anthropics customers that could spend $100,000 or more, and have it be less than 1% of their total spend, the addressable customer base is about a million customers. So they're only, call it 1% of total customer penetration potential.

Sacks support ×3 ▲ on 🤖 Frontier AI labs keep durable premium pricing (not commoditized) E295 · 2026-10-30 ▶ 5:52

And I think it is a little bit of a refutation to all the people who have been saying over the past year that they're getting commoditized away, that open models are basically are putting them on a hamster wheel where they're basically going to zero on gross margin, or that it's a business that only works because it's heavily subsidized by venture capital. In fact, I think there's a lot of reasons to believe that Anthropic has a pretty big lead. And if you believe that recursive self-improvement has kicked in, as they are claiming it has, then their lead could actually grow.

Sacks support ×3 ▲ on 🤖 Anthropic IPO (~Oct 2026) is attractively priced at $1.5-2T E295 · 2026-10-30 ▶ 5:52

It could very well be. I mean, I think this is probably going to be the biggest venture outcome of all time, especially given the time in which this was created. I mean, this is only a six-year-old company.

It all depends on where you shift the profit pool. Today, they all live in NVIDIA and the memory industry, and they're being shifted towards the hyperscalers, people who have large compute available because at one, it will become less about the chips, it will become more about the availability of compute

We can only get that with open-source, open-weight models. We can interrogate chain of thoughts. That's kind of one reason we're gravitating towards them, as opposed to getting caught into the closed race.

Chamath oppose ×2 ▲ on 🤖 Frontier AI labs keep durable premium pricing (not commoditized) E294 · 2026-10-23 ▶ 4:50

the rose-coloured box is LLM traffic. That's the typical spend you're going to spend on the big frontier labs, closed models effectively, either through things like Bedrock on AWS or what have you. What's really interesting is that the blue box is taking up. The blue box is people buying their own GPUs because they're moving to open source.

Chamath oppose ×2 ▲ on 🤖 Own AWS, Azure and GCP and nothing else — the clouds capture the AI application dollars E294 · 2026-10-23 ▶ 4:50

They said, we have decreased our spend on AWS and GCP. We now have six completely independent ground up data centers that we've built from scratch for ourselves.

Sacks support ×2 ▲ on 🤖 Frontier AI labs keep durable premium pricing (not commoditized) E293 · 2026-10-17 ▶ 1:00:12

So they definitely have a duopoly when it comes to revenue and market share. I would argue they have a duopoly when it comes to frontier capability.