General tools impress everyone. Specific tools get adopted.
The general-purpose assistant is a marvel — and, for most businesses, a starting point rather than a destination. Ask it to run a real workflow — reconcile a site logbook, audit a carbon claim, chase a restaurant no-show — and the gap between “can answer” and “can be trusted” shows.
Vertical AI closes that gap by giving up generality. It encodes the rules of one domain: how a construction group talks across its sites, what a registry accepts as proof, the etiquette of a guest message at 11pm. Narrow scope is the feature — it is what makes the output dependable enough for production.
The pattern repeating across 2026: the broad model supplies the intelligence, and a thin, opinionated layer supplies the judgment — domain knowledge, guardrails, and the integrations into the systems of record. Buyers pay for the layer, not the model.
So the lesson for operators is simple. The most valuable AI in your business will not be the one that can do anything. It will be the one that does your specific, repetitive, expensive work — the same way every time.