Users Set the Absorption Ceiling
The pace of learning is capped by how much change humans can absorb, not by how fast an AI can ship.
Before AI, creation and absorption moved at roughly the same speed. Builders and users were both human, working with similar cognitive bandwidth, so the rhythm of shipping matched the rhythm of learning. A team released what a user base could digest.
AI breaks that symmetry. An agent can produce hundreds of experiments or features in a week, yet the people on the other end are still human. When output outruns absorption the feedback loop collapses: signals get muddled, trust erodes, and validation becomes impossible. More shipped, less learned.
This erosion is not only signal loss. When wrong assumptions reach users as half-finished experiments, users lose confidence in the product. The damage is to trust, not only to measurement. Respecting the absorption ceiling is how you protect the feedback loop from poisoning itself.