Industries with historically low software adoption (like trial law or dentistry) are now viable markets. Instead of selling a tool, AI startups are selling an outcome—the automation of a specific labor role. This shifts the value proposition from a software expense to a direct labor cost replacement.

The ultimate impact of AI isn't just enhancing employee productivity via software. It's about companies transitioning from selling tools to selling outcomes. For example, an HR software provider could evolve to sell the automated work of an HR professional, handling payroll queries and benefits directly.

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.

Founders are stuck in a SaaS mindset, selling tools to existing service providers. The bigger opportunity is to build new, AI-first service companies (e.g., accounting, legal) that use AI to deliver a superior end-to-end solution directly to customers.

Selling software tools puts companies in direct competition with ever-improving foundation models. Sequoia Capital's Julien Bek argues the defensible play is to build a "software business that masquerades as a services firm," selling completed work and capturing the larger services market.

The business model is shifting from selling software to selling outcomes. Instead of creating a tool and inviting users, create pre-trained agents that perform valuable work. Then, invite companies to a workspace where this 'team' of AI employees is ready to start delivering value immediately.

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.

An AI-native service provider goes directly to the end customer, bypassing intermediaries. They offer a superior result (e.g., faster, cheaper cybersecurity) at a lower price, making the switch an easy decision by solving the entire problem.

The B2B software business model is evolving from licenses and subscriptions toward outcome-based pricing, where customers pay for successful task completion. While currently limited to measurable areas like customer support, this model represents the next major disruptive wave as AI makes more outcomes quantifiable.