Users can now prompt an AI to build a custom version of a SaaS tool, tailored to their exact needs. This marks a shift towards personal, disposable software, which increases software's abundance while simultaneously eroding the moats of traditional SaaS businesses.

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.

The rise of agentic coding is creating a "SaaSpocalypse." These agents can migrate data, learn different workflows, and handle integrations, which undermines the core moats of SaaS companies: data switching costs, workflow lock-in, and integration complexity. This makes the high gross margins of SaaS businesses a prime target for disruption.

Ubiquitous local AI agents that can script any service and reverse-engineer APIs fundamentally threaten the SaaS recurring revenue model. If software lock-in becomes impossible, business models may shift back to selling expensive, open hardware as a one-time asset, a return to the "shrink wrap" era.

While most current AI agents are just replicable instructions, a potential moat exists for tools that build truly autonomous, self-improving agents. The history and learnings of such an agent would create high switching costs, as moving to a new platform would be like training a new employee from scratch.

Enterprises no longer need to buy expensive SaaS products for tasks like customer feedback. They can now spin up custom AI agents internally, making it harder for SaaS companies to acquire new customers and leading to higher-than-modeled churn. This poses a fundamental threat to the SaaS business model.

Historically, a deep library of integrations (like MuleSoft's or Rippling's) created a powerful defensive moat. Now, AI coding agents like Devin can replicate hundreds of integrations in a month at a very low cost, making this form of defensibility obsolete.

The threat of AI models replicating SaaS features is real. Superhuman's defense isn't a superior core technology but a platform strategy. The bet is that users won't build their own tools if the platform offers a powerful network effect of pre-built, integrated agents that work everywhere, creating a defensible ecosystem.

SaaS products like Salesforce won't be easily ripped out. The real danger is that new AI agents will operate across all SaaS tools, becoming the primary user interface and capturing the next wave of value. This relegates existing SaaS platforms to a lower, less valuable infrastructure layer.