What are AI business models?

At a glance

• Three product shapes: copilots (assist a human), agents (do the work), AI-enabled services (deliver a finished result).
• Three meters: per seat, per usage (tokens, calls, compute), or per outcome (per ticket resolved, contract drafted).
• Pricing is moving from “who has access” to “what got done” — outcome pricing is the top AI frontier of 2025-2026.
• Every query burns real compute, so AI margins run ~50-60% vs 80-90% for classic SaaS — pricing is survival.

What you can sell

A copilot speeds up a person and is usually billed per seat^[1]. An agent does the whole task on its own, so it earns stronger, outcome-tied pricing^[2]. An AI-enabled service delivers a finished deliverable cheaper than a traditional vendor. Decide: are you selling a helper, a worker, or a done-for-you result?

How you charge

Per-seat is simple but breaks when one agent does ten people’s work^[3]. Usage pricing tracks your real costs but customers don’t think in tokens. Outcome pricing — say a dollar per resolved ticket — matches price to value but exposes you to cost swings^[4].

Why margins differ

One more SaaS user costs almost nothing; every AI request burns compute, dropping margins to 50-60%. So don’t price flat and hope — pick a meter that rises with your costs or your delivered value. Most teams land on a hybrid: a predictable base fee plus a usage or outcome layer.

Bottom line

Answer two questions — helper, worker, or finished result; and which meter — then favor a base fee plus a usage or outcome layer that grows with customer value.