The next major competitive threat isn't a rival company, but your customer's own AI agent. These agents will silently and autonomously replace underperforming software by building alternatives or switching to a better API. This churn happens without any sales cycle or warning.

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.

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.

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.

The value in software is shifting from SaaS platforms (like CRMs) to the AI agent layer that automates work on top of them. This will turn established SaaS companies into simple data repositories, or "hooks," diminishing their stickiness and pricing power as agents can easily migrate data.

The team stopped using Notion for standups after their custom AI agent began serving the same purpose more efficiently. They didn't consciously cancel the subscription, but their daily active usage dropped to zero—a "stealth churn" that usage metrics, not just billing, can reveal.

Signaling a potential threat to traditional SaaS, Curative canceled its Salesforce subscription after building a more effective, integrated internal CRM in just two months. This move suggests that bespoke AI-driven tools can offer superior performance and cost savings over monolithic SaaS platforms.

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.

Turing's CEO claims SaaS is dead for two reasons. First, powerful foundation models drastically lower the cost of building custom software internally. Second, existing SaaS products are built for human interaction via GUIs, not for AI agents that will increasingly use APIs and tool-calling functions directly.