Frustration with a mediocre, AI-lacking vendor drove the decision to build a custom replacement, even when a commercial option existed. This signals a major vulnerability for incumbent SaaS players who fail to innovate with AI, as customers may choose to build rather than renew.

AI isn't just a feature; it's a fundamental UI/UX shift. B2B software that isn't conversational or agent-driven now feels "terrible" and dated. This shift is causing a potential "terminal decline" for incumbents who can't adapt, as value accrues to the new agentic layer.

The next phase of enterprise AI will involve autonomous consolidation. Agents will begin identifying redundancies within your own systems and propose taking over the functions of other agents they deem less efficient, creating an internal 'survival of the fittest' among your AI workforce.

Software that is priced per seat and easy to replace, like Zendesk for customer support, is under existential threat from AI. Customers can run AI agents in parallel to perform the same tasks, directly comparing performance and cost, making it easy to reduce seats and switch providers.

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.

The primary moat for many SaaS companies was the complexity and high cost of migrating away from their product. AI agents can now automate this process, eroding that advantage, increasing competition, and giving buyers significant leverage to renegotiate contracts.

AI coding agents will make migrating between complex enterprise systems like SAP and Oracle dramatically easier and cheaper. This erodes the moat of high switching costs, forcing incumbents to compete on product value rather than customer lock-in, where they once held customers as "hostages."

The friction of learning a new user interface often prevents customers from switching vendors. This 'UX moat' disappears when an AI agent is the primary user. The agent can instantly master any new system, making migration decisions purely about API quality and cost, not human usability.

While Salesforce seems difficult to disrupt externally, its large Fortune 500 customers have the resources to build their own tailored solutions using AI. They can bypass paying for a bloated software suite they only partially use, posing a significant "insourcing" risk.