Why AI Products Need a Data Strategy, Not Just a Feature Strategy

Companies like to talk about AI products as if they were ordinary software. You define a feature, build it, launch it, and improve it. That language is familiar. It is also misleading. In ordinary software, a new feature is mostly a matter of logic and implementation. In AI, a new feature often depends on something far less visible: new examples, new corrections, new evidence about where the system fails, and new ways of turning those failures into something useful. That changes the nature of product design. An AI product is not just something that performs tasks for users.