The "SaaSpocalypse" is not an indiscriminate event. A clear divergence is emerging between SaaS companies that are successfully integrating AI to strengthen their business models and those legacy companies that are unable to pivot, becoming "sloppable."

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.

Bill McDermott argues the threat of AI replacing SaaS is not uniform. Niche applications serving a single department with low strategic value are vulnerable. In contrast, platforms that are systems of record or integrate workflows across multiple departments have a significant competitive moat.

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 "SaaS apocalypse" will target "beta" software—tools that make companies more similar to their competitors. Conversely, "alpha" software—platforms that allow a company to express its unique strategy and competitive advantage—will thrive as AI makes customization and differentiation easier.

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.

SaaS growth relies on upselling features and adding seats. AI challenges this by enabling customers to build their own integrations that were once expensive upsells. Furthermore, if AI keeps team sizes static, the "expand" motion of selling more seats vanishes.

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.

The threat of AI to SaaS is overstated for companies that own either a deep relationship with the user or a critical system of record. "Glue layer" SaaS companies without these moats are most at risk, while those like Salesforce (owning the customer relationship) are more durable.