Amazon Bought the GPUs Before Finding the Power -- AI Brief October 25

Good day %%first_name%%. Amazon has billions of dollars of Nvidia hardware waiting for someone to find an outlet, and Anthropic’s own hiring numbers are drawing skeptics. Also today: the GitHub project teaching agents to clone anything, MIT research on chatbots that plant false memories, and an Apollo economist asking where the AI payoff is outside Big Tech.

Amazon Bought the GPUs. Outlets Pending. Business Insider (paywalled)

* What happened: Business Insider reports that Amazon’s cloud arm expected to receive roughly $5 billion of Nvidia’s GB300 server racks at US facilities before final deployment, under a new “Early Rack Receipt” process, with roughly $3 billion more projected every month “for the foreseeable future,” according to August internal emails. Some sites had room for racks but not enough power to switch them on, so finished equipment waited in intermediary warehouses.

* Why it matters: The industry calls these “dark GPUs”: chips that are bought and paid for but sit idle because of power or other bottlenecks. Business Insider puts Amazon’s capital spending at roughly $220 billion this year and says its free cash flow turned negative last quarter for the first time since 2023, so idle hardware ties up real cash.

* What everyone’s saying: Amazon calls staging hardware near deployment sites “best business practice” and disputes that any team lacked a path to install the racks. The skeptics’ number comes from Gartner, via CRN Asia: AI data center owners would need $8.5 trillion in cumulative revenue through 2030 to earn a 12% return, against a forecast of no more than $3.6 trillion.

* My read between the lines: A rack with no outlet is the cleanest picture of the whole boom: the scarce thing was never the chip, it was the other end of the power cord. Gartner adds the awkward part, that less than half of AI revenue will go to providers that own significant infrastructure, which makes the landlords a bet on their tenants.

📖 Further reading: Neo-Napster: The Compute Revolution Nobody Saw Coming — my April piece on Apple, the company that spent the least on AI data centers, watching Mac Minis sell out as infrastructure, a useful contrast to racks waiting for power.

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Anthropic’s Junior Tech Hiring Fell to 9% Anthropic

* What happened: In its report “How employment is changing at Anthropic,” the company says the junior share of its technical hires fell from 27% to 9% since early 2025, and juniors’ share of its technical departments slipped from 21% to 14%. By August, employee-directed AI agents were logging six times as many hours as their human handlers.

* Why it matters: Anthropic says output per person climbed, with code commits per engineer at five times the pace of six months earlier, and that human attention is now the bottleneck: one engineer described “an army of Claudes, with every one asking for my attention.” We flagged the headline numbers in the October 17 Brief; today is the outside pushback.

* What everyone’s saying: The Guardian, via Yahoo, quoted skeptics. Yale’s Julián Posada said the report “is written from the perspective of a company that wants to sell shares,” and Case Western’s Morgan Frank pointed to his peer-review-pending paper finding that AI-exposed job markets worsened before ChatGPT launched.

* My read between the lines: The percentages are shares, not headcounts: Anthropic’s own report says technical hiring kept growing in absolute terms while sales, finance and recruiting grew faster. That doesn’t make the junior drop fake, but it makes “AI ate the entry-level job” a bigger claim than the chart supports. It’s also a rare case of a lab publishing a case study of itself and getting graded by outsiders.

📖 Further reading: The Tools That Just Replaced 40% of Block’s Workforce Are Free in Your Browser — my March piece on Block cutting 40% of its staff and why I argued the layoff panic is better news than it sounds, relevant to anyone asking what happens to entry-level work.

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