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Principle AI Product Building Future of AI Business Models

The system of work is the moat, not the model — the model is fungible underneath

A vertical app company wins by owning the surface where a company's work actually executes — data capture, workflow system of action, and governance — while each new model generation flows through underneath

@joeschmidtiv (Joe Schmidt IV, a16z) — Avoiding Death on the Yellow Brick Road · · 14 connections

In Joe Schmidt IV’s Oz framing, the labs own the model and the distribution, but a vertical app company can still win by owning the system of work — the surface where a company’s actual work executes and the data it generates gets captured. He is explicit: “The model is fungible underneath; the system of work is not.” The durable layer owns three things at once — data capture, the workflow system of action, and governance — and becomes the layer that integrates each new model generation and delivers it to the customer.

This is a workflow-specific cousin of When products and models converge, the moat is the institution — how a company attracts people, distributes authority and compounds judgment: when models commoditize, the moat moves to what they can’t copy. It extends Context is the product, not the model from data and skills to the whole operating surface, and it is why Sell the work, not the tool — the services budget dwarfs the software budget, and every model improvement helps whoever sells the outcome holds and why the surviving defenses in LLMs selectively destroy vertical software moats — 5 fall, 5 hold — system-of-record status, regulatory lock-in — remain. The deterministic When non-deterministic AI feeds a deterministic system, the deterministic layer governs — software that owns coordination and accountability keeps its place is part of this system, not a competitor to it.

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