In an environment of AI disruption, the most durable software businesses are vertically integrated into critical sectors like finance or healthcare. Furthermore, companies with usage-based pricing models are more resilient than those with seat-based models, as their revenue is tied to utilization, not just headcount.

The 2020 debate over Figma's per-seat pricing versus Slack's variable active-user model was a key step in SaaS evolution. It signaled the move toward aligning cost with value, a trend that has accelerated into today's token-based pricing for AI and the emerging concept of outcome-based pricing.

As more companies integrate AI, their costs are tied to variable usage (e.g., tokens, inference). This is causing a profound, economy-wide transformation away from predictable seat-based subscriptions towards more dynamic usage-based models to align costs with revenue.

As AI agents reduce the number of human "seats" required to use software, vendors are accelerating their move from seat-based licenses to usage-based models. The revenue lost from fewer users is expected to be offset by higher consumption, as automated workflows interact with platforms far more intensively than human employees.

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.

Twilio's usage-based pricing seems resilient, but it faces a unique AI risk. If AI makes customer service calls more efficient and shorter, it could decrease total platform usage and therefore revenue. This 'efficiency paradox' is an under-discussed vulnerability for consumption-based business models in the AI era.

With SaaS, a lack of value might not be exposed until renewal. With consumption, customers can "turn the light switch off" instantly, forcing vendors to prove their worth continuously and re-earn the business every day.

To combat concerns over shrinking corporate headcounts due to AI, ServiceNow is moving towards hybrid consumption-based pricing. Bullish investors argue this could be more profitable than per-seat models, as effective AI tools will drive significant usage and lead to higher overall customer spending.

The shift to usage-based pricing for AI tools isn't just a revenue growth strategy. Enterprise vendors are adopting it to offset their own escalating cloud infrastructure costs, which scale directly with customer usage, thereby protecting their profit margins from their own suppliers.