AI enables a fundamental shift in business models away from selling access (per seat) or usage (per token) towards selling results. For example, customer support AI will be priced per resolved ticket. This outcome-based model will become the standard as AI's capabilities for completing specific, measurable tasks improve.

Bret Taylor's firm, Sierra, is pioneering an "outcomes-based pricing" model for its AI agents. Instead of charging for software usage, they only charge clients when the AI successfully resolves a customer's problem without human escalation. This aligns vendor incentives with tangible business results like problem resolution and customer satisfaction.

In categories like customer support, where AI can handle the vast majority of queries, charging per human agent ('per seat') no longer makes sense. The business model is shifting to be outcome-based, where customers pay for the value delivered, such as per ticket resolved or per successful interaction.

Standard SaaS pricing fails for agentic products because high usage becomes a cost center. Avoid the trap of profiting from non-use. Instead, implement a hybrid model with a fixed base and usage-based overages, or, ideally, tie pricing directly to measurable outcomes generated by the AI.

The dominant per-user-per-month SaaS business model is becoming obsolete for AI-native companies. The new standard is consumption or outcome-based pricing. Customers will pay for the specific task an AI completes or the value it generates, not for a seat license, fundamentally changing how software is sold.

The current moment is ripe for building new horizontal software giants due to three converging paradigm shifts: a move to outcome-based pricing, AI completing end-to-end tasks as the new unit of value, and a shift from structured schemas to dynamic, unstructured data models.

The traditional per-seat SaaS model is becoming a "tax on productivity" in an agent-driven world. As companies buy agents to do work instead of software for humans, the model shifts. Sam Altman's comment that every company is now an API company reflects this move from user-based pricing to value-based, programmatic access.

OpenAI Chair Bret Taylor argues that the biggest hurdle for established software companies isn't adopting AI technology, but disrupting their own business models. Moving from per-seat licenses to the outcome-based pricing that agents enable is a more profound and difficult challenge.

AI is moving beyond enhancing worker productivity to completing entire projects, like drug discovery or engineering designs. This shift means software will be priced like a services business, based on the value of the outcome delivered, not the number of users with access.