Generative AI
What is Generative AI?
AI that creates new content: text, images, audio and code. Earlier systems could only sort or analyse data that already existed. A generative model produces something that wasn't there before. It's the technology behind today's AI assistants and most of the business AI tools in use now.
Why it matters
Earlier business software could sort, score and retrieve what already existed. Generative AI writes the first draft, the summary, the code, the image. That changes where people spend their time. Instead of producing routine text or artwork from scratch, they edit and sign off on what the model made. For most companies this is the first AI they can put in front of staff without a data-science team, which is part of why it spread from research demo to everyday tool so quickly. A generative model sounds just as sure of itself when it is wrong, so its output still needs a human check before it counts as done.
In practice
A marketing team briefs the model on a product and gets three campaign angles back in a minute instead of a day. A developer describes a function and gets working code to adjust. A support lead pastes a long complaint thread and gets a plain summary. The model does the rough first pass and a person owns the final call.
