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The Quiet Death of SaaS Pricing Power
AI is not only changing what SaaS products can do. It is changing the leverage customers bring to every renewal conversation.
The new question at renewal
The old SaaS renewal conversation was mostly about value, switching costs, and the inconvenience of changing a workflow that already works. AI has introduced a sharper question: how difficult would it be to build the essential part of this product ourselves?
The answer does not need to be “easy” for pricing power to change. A credible internal alternative gives buyers leverage. It turns a familiar annual increase into a negotiation about whether the product is truly worth the premium.
Feature velocity is not a moat
AI lowers the cost of turning a reasonable product idea into a working feature set. Incumbents benefit from that speed, but so do challengers and internal teams. Shipping faster is useful; it is not the same thing as becoming harder to replace.
The vulnerable products are not necessarily bad products. Many have real customers and useful workflows. The problem is that some of their value was always a mix of product quality and the friction of doing anything else. As the friction falls, the second part weakens.
Seat-based revenue has a hidden dependency
A large part of SaaS revenue is tied to the number of people at a customer who need access. When customers automate work or reduce headcount, fewer people can mean fewer seats. That is not a sales objection a better account manager can solve; it is a change in the customer’s operating model.
Founders should look beyond historical churn curves. If the economics of the customer change, the assumptions underneath expansion and renewal can change with them.
Treat it as a repricing problem
The useful response is not panic or a generic AI feature checklist. It is an honest review of where the product creates durable value: proprietary data, trusted workflow ownership, domain expertise, reliability, or outcomes that are difficult to reproduce.
A business that relies on inertia should assume inertia has an expiry date. A business that solves a painful, specific problem better than an internal team can should make that advantage obvious in the product, the pricing, and every customer conversation.
First published on Medium.