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The vertical AI revolution belongs to firms with proprietary data, not to the tool makers

Rich Fairbank · Capital One's 2024 letter from Rich Fairbank · 2025

The idea

Capital One's 2024 letter splits the effect of artificial intelligence in two. The horizontal revolution is off-the-shelf tools used across every industry, and its gains are shared by everyone. The vertical revolution, inside each industry, Fairbank expects to be driven not by the technology companies but by firms with deep proprietary data about their own customers and their own risks. For a lender that means decades of credit outcomes. The letter also describes credit discipline as zigging while the market zags, flagging score inflation in 2022 and pulling back when others did not. It is a frame for thinking about which banks a technology shift favours.

In any industry, ask who holds the data the models need; the shift favours them more than the vendors of the models.

When it works

Bank and fintech coverage, the question of who wins from AI in finance, and any moat built on data.

When it may fail

Proprietary data can be made less valuable by better public data or by regulation, and the letter is a chief executive describing his own firm's advantage.

How to use it

For a company claiming an AI advantage, ask what data it holds that competitors cannot buy, how far back it goes, and whether it includes outcomes rather than just activity. A data moat with no outcomes is a log file.

Where it came from

Letter Capital One's 2024 letter from Rich Fairbank · Rich Fairbank

What the source says. Fairbank splits AI's effect into a horizontal revolution of off-the-shelf tools and a vertical one driven by companies with deep proprietary data in their own industry, and describes Capital One flagging credit score inflation in 2022 and pulling back in some segments.

Open the source at page 3 (opens in a new tab)Written from L3VLUP’s own notes on the work · reviewed 2026-10-16

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