We scan new podcasts and send you the top 5 insights daily.
With AI agents reducing the need for human users, the per-seat SaaS model is becoming obsolete. The future lies in outcome-based pricing, where vendors charge for tangible results like cost savings or tickets resolved. This aligns incentives, forces vendors to prove ROI, and creates a true partnership with customers.
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.
Wade Foster argues that fixed, seat-based pricing is dying because it doesn't align with the variable nature of AI-driven work. He sees the market splitting into two models: usage-based for commodity-like AI services and outcome-based for enterprise tools that deliver a clear, measurable result (e.g., "price per resolved ticket").
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.
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.
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 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.
The rise of AI agents enables a move away from traditional per-seat SaaS pricing. Instead of selling access to a tool, entrepreneurs can sell a specific, guaranteed outcome delivered by an agent (e.g., a daily brief of competitor activity), transitioning to an outcome-based revenue model.
As AI agents perform tasks autonomously, the per-seat SaaS model becomes obsolete. The market is shifting to outcome-based pricing (e.g., pay per resolved ticket). There is a massive opportunity for startups to either build new outcome-based solutions or create services that help large, legacy SaaS companies make this difficult transition.
As AI agents take over individual contributor tasks, the value of per-human, per-seat software diminishes. The new SaaS model will center on orchestrating human-AI workflows, requiring a fundamental shift to pricing based on outcomes delivered or compute consumed.