Most users do not want more AI. They want less friction. That is a completely different product brief.
An AI feature earns its place when it shortens the distance between intent and output. If it adds setup, ambiguity, or rework, the novelty wears off fast.
The most useful AI tools are usually narrow. They help with extraction, cleanup, summarization, classification, or drafting inside a workflow that already exists.
That narrowness is a strength. It keeps the user model simple and makes quality easier to evaluate in production.
Trust also matters more than cleverness. If a tool saves three minutes but introduces doubt, people will stop using it the moment pressure rises.
This is why product teams should ask a stricter question than “can AI do this?” They should ask “does AI make this step meaningfully faster, clearer, or safer?”
If the answer is no, the right move is restraint. Not every task needs a model in the middle of it.