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Fireside Alpha
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Summary and synthesis of the best business, technology, and consumer conversations | @firesidetapes for historical archives
参加 June 2026
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Microsoft CFO Amy Hood says that if the AI build turns into an overbuild, Microsoft can throttle back quickly, because the bulk of the spend is short-lived chips it can simply stop buying, not the land and the buildings. "But when you start to think about over the duration, I try to remind people a lot of the expense, especially you see it in CapEx, you see our CapEx really pivot toward what I would call and do call short-lived assets, which really, right, that's CPUs and GPUs that have relatively shorter lead times." "And so if the demand environment changes, you just slow down what is, in fact, the largest component and the driver of COGS." "The investment into land and data center builds is actually quite flexible, right? It's a smaller percentage of the overall cost structure, and timing can be changed on much of that, especially on the builds." "Or you can stagger the timing of the build-out of some of the GPUs and CPUs that you plan to put in." "And so when you think about being able to manage through that, hyperscalers have been doing that for quite a long time in terms of having the flexibility and the understanding to manage those changes in demand."
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Microsoft CFO Amy Hood says the AI compute crunch is now showing up in the spot market, and because demand keeps outrunning supply, every efficiency gain Microsoft wrings out of its fleet gets sold almost the moment it's freed up. "There are still constraints in the system. I think we've continued to say, I think now for a number of quarters, that demand continues to exceed available supply, and that certainly remains true." "You can even see it, I think, in some of the pricing that's occurring in the spot market for assets." "So when you think about being able to deliver better, the first thing we focus on, and I tried to talk a little bit about it in my prepared remarks, is efficiency, being able to get more out of everything that we've got in the fleet. That applies to efficiency gains in the CPU fleet. It's going to be efficiency gains in the GPU fleet." "We saw a good work this quarter, in particular, from our engineering teams to make as much of that available as we could. And because of the supply-demand imbalance we've been talking about, when we can make efficiency gains, they are quickly monetized in quarter. And I think that dynamic certainly impacted the quarter positively."
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