Demis Hassabis is stepping down as DeepMind CEO, Apple is facing a structural memory constraint that is limiting its AI ambitions, and Microsoft is pulling back on AI datacenter spending while quietly routing that capacity through OpenAI and Anthropic. Alex Kantrowitz and M.G. Siegler from Spyglass break down what each move signals about where the industry is actually heading, not where the press releases say it is.
The Apple segment is the sharpest part of this conversation. The discussion goes beyond tariff-driven price hike speculation to ask a harder question: did Apple misread the AI hardware moment, and how much can it raise iPhone prices before it starts bleeding the services revenue that now props up its margins? Those two threads, device economics and services dependency, are worth your time even if you skip the rest.
The Microsoft angle has a wrinkle the headlines missed. Spending cuts look like retreat, but the money is being redirected through cloud contracts with OpenAI and Anthropic, meaning Microsoft stays exposed to AI infrastructure demand without owning the risk directly. The conversation also quantifies how much of current hyperscaler cloud growth is driven by those two companies alone, a number that reframes the entire AI investment narrative.
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