The AI cloud arms race is heating up, with big tech pouring a 💵 staggering $106Bn into infrastructure in just six months.
Is it a calculated strategy, and who's poised to win?
☁️ Hyperscalers are Going All-In
Capital spending in the first 6 months of 2024:
Microsoft: 78% increase to $33Bn
Amazon: 27% jump to $32.5Bn (includes e-commerce infrastructure)
Alphabet Inc.: 90% surge to $25Bn
These aren't just incremental increases. Add Meta and Tesla to the mix, and big tech companies have boosted their spending by 50% to more than $100bn this year. And the leaders are unapologetic about their stance.
Google CEO Sundar Pichai puts it bluntly:
"In tech when you are going through transitions like this... the risk of underinvesting [in AI] is dramatically higher than overinvesting."
⚖️ Long Game vs. Immediate Returns
While Wall Street may be concerned about ROI, tech giants are committed to playing the long game. Meta's Zuckerberg estimates the computing power required for their next large language model will be "almost 10 times more" than the previous version.
This isn't reckless spending – it's calculated risk-taking. Unlike the VC-fueled bubble of 2021, hyperscalers operate with far more discipline:
✔️ They require robust business cases
✔️ Board approval is essential
✔️ They face constant scrutiny from public markets
Plus, this is backed by real customer demand. Microsoft reports being constantly under capacity, suggesting the infrastructure can't be built fast enough.
Amazon highlighted that AI is already a multi-billion dollar business for them.
💡 AI Dominates the Conversation
In this quarter earnings calls of Amazon, Microsoft, and Alphabet, AI was mentioned a whopping 📌 168 times!
That's more than 4X the mentions of capital expenditure. The focus has shifted dramatically and is staying squarely on AI.
Amazon's CEO reminds us of the massive potential: "In the generative AI space, it's going to get big fast and it's largely all going to be built from the get-go in the cloud..."
🎯 Infrastructure or Applications? Both
As clouds scale their AI infrastructure even faster in H2 2024, they're closely watching where demand emerges. The brilliant move here is how they're positioning themselves to win regardless of where the surge happens.
Microsoft's CFO highlights their "consistent architecture" that can support growth "regardless of whether the demand is at the platform layer or at the app layer or through third parties and partners or, frankly, our first-party SaaS, it uses the same infrastructure."
🔄 Will Partners Win Too?
As clouds build out AI infrastructure, there's huge potential for partners who can help enterprises leverage it.
This includes industry-specific solutions, implementation, etc. AI is here to stay.
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