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.

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.

AI is splitting software into two categories: "access products" and "work products." While access tools can stick with seat-based pricing, work products (e.g., AI that processes legal contracts) must adopt outcome-based pricing, as value is tied to output, not the number of users.

Traditional per-seat SaaS models are failing as AI agents can access services via APIs without needing a paid seat. Bolt's CEO argues companies must shift to usage-based pricing that bills for value delivered, not just access. This aligns cost with utility in an agent-driven world and represents a fundamental business model shift.

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 traditional per-seat SaaS model is losing relevance. As AI allows for the completion of discrete workflows, customers expect to pay for the outcome ('do this thing for me'), not for access. This per-task model is a significant competitive advantage against legacy players.

As AI agents become the primary "users" of sophisticated software, the traditional per-seat licensing model becomes obsolete. Pricing will inevitably shift to a value-based model, tied to outcomes the AI delivers—such as cycle reduction or performance gains—rather than human operators.

The next major business model shift in software is from seat-based pricing to outcome-based pricing (e.g., paying per task completed). This favors AI-native newcomers, as incumbents will struggle to adapt their GTM and financial models.

As AI agents make developers more productive, companies may need fewer of them. Pegging revenue to developer headcount is therefore a losing long-term strategy. Future pricing models for AI developer tools will decouple from seats and focus on usage, overages, or outcomes.