Cost of Intelligence

Cost of Intelligence is the blog where I write about things I find interesting at the intersection of economics and AI. Some posts are short, some go deeper, all of them start with something that made me curious enough to dig in.

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06POLICY · 14 MIN
Generative-art cover image for the Europe AI catch-up essay.

Subsidising the Build, Losing on the Bill: Why Europe's AI Catch-Up Targets the Wrong Cost Line

Europe's response to the AI gap is a capex instrument. The race is being lost on opex, where a one-time grant cannot reach a power-cost disadvantage that compounds for a decade.

05AI · 09 MIN
Hand holding a phone with the home screen showing five AI apps: Gemini, DeepSeek, Claude, ChatGPT, Auren.

The Adversarial Stack: When Cross-Model Routing Becomes a Spec, Not a Hedge

Six papers across 2024-2026 converge on the same finding: same-family verification breaks down at scale. The reframe is technical. What it implies for foundation-model margins is not.

04FINANCE · 12 MIN
Black-and-white line illustration of a hyperscale data center aisle, server racks receding to a vanishing point.

The Hyperscaler Capex Stress Test

Part 4 of a four-part series on AI infrastructure financing. Big-4 hyperscaler capex guidance for 2026 has moved past free cash flow. The bond market is filling the gap.

03FINANCE · 13 MIN
Generative-art cover image for the $250B Footnote essay.

The $250B Footnote: Off-Balance-Sheet Compute Commitments

Part 3 of a four-part series on AI infrastructure financing. A quarter-trillion in compute commitments lives in 10-K footnotes — not on the balance sheet, not in the headline capex number.

02FINANCE · 13 MIN
Generative-art cover image for the Vendor Financing Loops essay.

Vendor Financing Loops: What 1999 Telecom Tells Us About 2026 AI

Part 2 of a four-part series on AI infrastructure financing. The vendor-financing loops between NVIDIA and its largest customers rhyme uncomfortably with Lucent and the CLECs in 1999.

01FINANCE · 12 MIN
Generative-art cover image for the Stranded GPUs and SPV Problem essay.

Stranded GPUs and the SPV Problem

Part 1 of a four-part series on AI infrastructure financing. The SPV structures funding GPU clusters look healthy on paper. Underneath, the residual-value assumptions are not.

Enron's 500k leaked emails (2003) are still the standard training set for email NLP — Smart Reply, spam filters, Gmail autocomplete trace back to Skilling's accounting fraudUPS trucks don't turn left — ORION routing avoids oncoming-traffic waits, saving ~38M liters of diesel a yearCommon Crawl, a <10-person nonprofit, has scraped the web since 2008 and gives it away — GPT-3 was ~60% trained on it; LLaMA, Claude, Gemini too. Budget: a few hundred grand a yearMNIST, the handwritten digits every ML student trains their first model on, comes from 1980s US Census workers and Maryland high schoolers — an 80s census has been ML's “Hello World” for 30 yearsreCAPTCHA was never just a bot test — phase 1 digitized Google Books and NYT archives back to 1851; phase 3 labels Waymo training data. Humanity solves ~200M CAPTCHAs a day, worth ~$3.6B/yr in free labelingEnron's 500k leaked emails (2003) are still the standard training set for email NLP — Smart Reply, spam filters, Gmail autocomplete trace back to Skilling's accounting fraudUPS trucks don't turn left — ORION routing avoids oncoming-traffic waits, saving ~38M liters of diesel a yearCommon Crawl, a <10-person nonprofit, has scraped the web since 2008 and gives it away — GPT-3 was ~60% trained on it; LLaMA, Claude, Gemini too. Budget: a few hundred grand a yearMNIST, the handwritten digits every ML student trains their first model on, comes from 1980s US Census workers and Maryland high schoolers — an 80s census has been ML's “Hello World” for 30 yearsreCAPTCHA was never just a bot test — phase 1 digitized Google Books and NYT archives back to 1851; phase 3 labels Waymo training data. Humanity solves ~200M CAPTCHAs a day, worth ~$3.6B/yr in free labeling