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Azure vs. Google Cloud, same quarter: Azure: $33.17B, +48%; Google Cloud: $30.71B, +103%. A year ago, Google Cloud was 68% the size of Azure. Now it's 93%.
It's not a perfect comparison. Google Cloud includes Workspace, and Azure doesn't include Microsoft 365. But the direction is clear.
If the gap keeps closing at anything like this pace, Google Cloud passes Azure in quarterly revenue sometime in 2027.
Google Plunges After Ugly Top And Bottom Line Miss, As AI Cannibalizes Search And Ads
Source: zerohedge (X)
GOOGL in charts: Cloud was the only big beat. Cloud came at $30.7bn vs $29.1bn expected (+103% y/y), but Search, YouTube, Subs, and Services all missed. Two speeds. Cloud doubled; Search grew 12% (vs ~14% buy-side bogey), YouTube 9% (below 10% tolerance line), and Network just 1%
Source: zerohedge (X)
Marc Andreessen on one of the best tells that a technology will change the world: it makes a chaotic entrance.
Source: Andreessen Horowitz (LinkedIn)
Google (Alphabet) Q3 earnings report: Revenues growing at 25%.
- AI investments are driving overall Search query growth, including commercial queries;
- Google Cloud revenue grew 103%, powered by extraordinary demand for our AI infrastructure and AI solutions. Our 1P model APIs now process nearly 32B tokens/min (up 40% QoQ).
- Strong momentum in model progress, with Argon and Carbon leading the frontier, and Genie 4 our most advanced new world model yet
BofA: Ahead of Alphabet and Microsoft later today and Amazon on Thursday BofA notes consensus has the five hyperscalers (Microsoft, Amazon, Alphabet, Meta and Oracle) spending $1.11 trillion on capex in 2027, per BofA.
That’s now slightly more than the other ~495 S&P 500 companies combined ($1.09 trillion). Their share of S&P 500 capex has climbed from 16% in 2023 to a projected 51% in 2027, and 2027 estimates are up nearly 90% this year.
Chamath's views on Neoclouds
1. Neoclouds are disorganized and poorly capitalized. Some are definitely better than others, however.
2. Hyperscalers are intractable, bureaucratic organizations that take 3 months to do an NDA and want 18-month escrow periods. We built our portfolio by competing against these terms because of our speed and simplicity. The more future assets orgs like ours win, the bigger the problem for the hyperscalers downstream (see 3).
3. There are delays in the existing pipeline that will catch people off guard in 2027. Hyperscalers will (obviously) react by focusing on their own internal compute needs over any third party. If the third party is a model company, they will tell them to go through their model router, where they will also take a non-trivial vig.
All of this is to say that it does look like there will be a lot of partially stranded compute and compute sitting in inventory in 2027 than is currently forecasted. This is bought and paid for but effectively under-earning (below total cost of capital) or collecting dust. We see this as true for everyone - model companies, hyperscalers, neoclouds except ONE (you can guess which one).
This dislocation will benefit two kinds of orgs: the non-bureaucratic big scalers who can build industrial scale quickly and the nimble, well-capitalized players feeding them.2027 will be a turbulent year because it will clear out a bunch of wrong/bad bets. It will also be a consolidation year for a few.
UKMTO says ship ablaze in Hormuz off of Oman
Free cash flow estimates for Big Tech continue to deteriorate.
Many investors had expected free cash flow to stabilize in 2027 after its sharp decline. But the latest estimates suggest that the pressure will continue, with the anticipated recovery being pushed further into the future.
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Gnosly Live Signals | AI is getting cheaper
At a given level of performance, cost has fallen ~47%/quarter since 2023.
Gnosly Live Signals - China is seeing a historic boom in exports due to AI.
China outsmarts the world - Source The Kobeissi Letter