Capital & Compute

AI markets

Adoption, productivity, publishing and national strategy show where AI creates value and where it only moves it from one balance sheet to another. Measured gains rarely match the claims, search referral traffic is repricing entire publishing models, and countries subsidize compute for reasons that are strategic before they are economic.

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36 analyses
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The featured guide stays above; the stream below moves as new analysis is published.

What this topic covers

AI adoption, productivity, publishing, national strategy, funding and the markets being reshaped.

This topic collects 36 analyses, and they are written to be read together rather than one at a time: the featured guide sets out the shape of the problem, and the pieces below work through the individual numbers, tradeoffs and edge cases behind it. Every figure is attributed to a primary source at the point it is used and carries the date it was verified, because prices and benchmark results in this area go stale in weeks rather than years. Where a number is modeled rather than measured, the assumptions are stated so the arithmetic can be checked.

The topics on this site overlap by design. This one runs into Compute infrastructure and AI costs, and a question that starts in one usually ends in another: a pricing decision turns into a hardware decision, a benchmark result turns into a cost question. Follow the links inside the posts rather than treating these archives as separate shelves.

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