Generative AI produces new content — text, images, audio, code, video — rather than only classifying or ranking existing content. It learns the statistical shape of its training data and samples new outputs that fit the prompt.
Generative systems are why AI suddenly touches creative and knowledge work directly. They can also produce fluent nonsense, which is why verification habits matter more than ever.
Asking a model to draft a product announcement, generate a logo concept, or write a database migration are all generative AI tasks.