When users access SaaS tools through their own AI environments like Codex, they use their own AI model tokens, not the SaaS vendor's. This eliminates a huge cost center for SaaS companies, shifting their business model toward making their apps agent-friendly rather than paying for AI features.

AI agents often default to "build it yourself" because SaaS products aren't designed for them. To stay relevant, SaaS companies must create agent-friendly CLIs, APIs, and even add hints in help text to guide agents through complex workflows.

A new trend sees AI-native companies leveraging their own AI-assisted developers ('vibe coders') to create internal software that replaces their subscriptions to commercial SaaS products. This represents a significant threat to the traditional SaaS business model, as companies opt to build rather than buy simple tools.

Companies are now rejecting expensive SaaS contracts because their internal teams can build equivalent custom solutions in days using AI coding tools. This trend signals a fundamental threat to the traditional SaaS business model, as the 'build vs. buy' calculation has dramatically shifted.

Users are leveraging AI agents to build their own bespoke software, stripping away unused features from SaaS giants like Notion. This trend toward hyper-personalization threatens the one-size-fits-all SaaS model as users create cheaper, more effective personal tools.

For decades, buying generalized SaaS was more efficient than building custom software. AI coding agents reverse this. Now, companies can build hyper-specific, more effective tools internally for less cost than a bloated SaaS subscription, because they only need to solve their unique problem.

The rapid growth of AI startups is partially fueled by a pre-existing business culture accustomed to paying for software. Decades of SaaS adoption have removed the friction, making companies eager to pay for new AI tools that boost productivity for existing high-performers.

Contrary to the "SaaS-pocalypse" theory, AI agents will become a new, high-volume user base for SaaS tools. This will drive massive growth for companies that adapt their products to be usable by both humans and AI agents simultaneously.

The narrative that AI will kill SaaS is flawed. While anyone can now use AI to build custom tools, established companies retain value through brand and distribution. The real impact is deflationary: SaaS companies must lower prices to compete with the new "build-it-myself" alternative, compressing margins across the industry.