SaaS (Software as a Service)

What is SaaS?

SaaS (Software as a Service) is a software distribution model in which applications are hosted in the cloud and accessed by users over the internet, typically through a subscription. Instead of purchasing and installing software locally, customers pay a recurring fee — monthly or annually — for access. Salesforce, Slack, Notion, and HubSpot are canonical examples.

SaaS became the dominant model for business software over the past two decades, replacing on-premises installations with lower upfront costs, automatic updates, and anywhere access. The model’s economics — predictable recurring revenue, high margins, low distribution costs — made it the foundation of the modern enterprise software industry.

Why SaaS Matters in the AI Context

SaaS is significant in AI discussions not because it is an AI technology, but because it is the business model most directly threatened by AI’s rise. The disruption operates on multiple levels.

Seat-Based Pricing Under Pressure

Traditional SaaS charges per user seat. When AI agents perform work that previously required human users, the per-seat model breaks down. A company that replaces five support agents with an AI system no longer needs five Zendesk seats. This forces a fundamental rethinking of how software is priced — from per-seat to consumption-based or outcome-based models.

AI-Native Competitors

Startups built from scratch around AI capabilities are challenging established SaaS incumbents. These AI-native products do not bolt intelligence onto existing workflows — they reimagine the workflow entirely. An AI-native sales tool does not just help reps write better emails; it conducts the entire outreach autonomously.

Switching Costs Eroding

AI is lowering the cost of migrating between software products. When an AI agent can extract data from one system and configure another, the data lock-in that protected SaaS incumbents weakens. Sebastian Siemiatkowski predicts this erosion of switching costs will be “when the real threat to SaaS comes.”

The Transformation Imperative

Established SaaS companies face a choice: transform into AI-native products or be displaced by startups that are. This transformation is not cosmetic — adding a chatbot or “AI-powered” badge is insufficient. It requires rebuilding core product architectures, rethinking pricing models, and often cannibalizing existing revenue streams.

Related Reading

• Enterprise AI - The market category emerging from SaaS transformation
• Workflow Automation - How AI automates the processes SaaS tools support