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$650B Revenue Gap: Can AI Spending Ever Pay Off?
Audio is available on Spreaker — see link below.
JP Morgan reveals hyperscalers need $650B in annual AI revenue to justify 2026 capital spending — but they're currently generating just $25B. From Microsoft Copilot's Fortune 500 lock-in to DeepMind solving 50-year-old math problems, today's briefing tracks where the money is and where it isn't.
Audio is available on Spreaker — see link below.
The numbers don't add up. That's the cleanest way to put it.
The closest thing to a real answer on the revenue side is Microsoft. Over five hundred and forty thousand enterprise customers purchased Copilot for Microsoft 365 in the second quarter of twenty twenty-six.
The Alphabet exit is worth sitting with for a moment. This isn't a small portfolio shuffle.
Away from the balance sheets, DeepMind published something genuinely significant. AlphaProof Nexus autonomously solved nine Erdős problems, some of them open for fifty-six years.
The Vatican entered the debate. Pope Leo the Fourteenth issued a formal encyclical warning that AI risks creating what he called second-class humans and describing the pace of technological buildup as a modern Tower of Babel.
The through-line across all of this is the same tension. Spending is real.
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