Why AI-generated design often feels generic

It predicts a familiar answer

Generative tools are good at producing a plausible version of a common pattern. That is useful when a team needs a starting point. It is not the same as understanding what a person is trying to accomplish, what information they already have, or what can safely wait until later.

The brief is usually too thin

Ask for a dashboard and you may get cards, charts, and a sidebar. The result can look finished while avoiding the real question: which decision does this dashboard help someone make? A design direction becomes specific when it is tied to the work, the audience, and the moments that carry risk.

Screens are not the product

An interface also has loading states, empty states, permissions, errors, and consequences after a click. AI can draft many of these quickly, but someone still needs to decide which states are possible and what a person should be able to do in each one. That is product and engineering work.

Use AI as material, then apply judgment

We use AI to compare directions, explore wording, and move faster through routine work. The review asks tougher questions: does this solve the right problem, fit the system we have, and give people control? The answer rarely comes from a prompt alone.