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Fireside Alpha
@firesidealpha
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 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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It is a race for the best model, everyone says. Satya Nadella says the real scarce resource is compute. @satyanadella of Microsoft $MSFT: the biggest decision was not the model, it was compute concentration on one effort. That was the big bet. His frontier thesis goes further. Every company should compound its own IP over time, not just its human capital but its token capital, the proprietary tokens its own work produces. For investors: stop scoring the model leaderboard. Track who concentrates compute and who compounds proprietary token capital. The race was never for the best model. It is for token capital.
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