Generative AI refers to AI systems that create content — text, images, audio, code — by learning patterns from existing data and generating new output based on those patterns. Unlike systems that select from predefined responses, generative AI produces dynamic, novel output in response to each input.
Large language models are the most widely deployed form of generative AI in enterprise contexts. They can draft communications, summarize documents, write code, extract information, and generate analysis — tasks that previously required significant human time and expertise for every instance. The shift from "select from options" to "generate contextually appropriate content" is what gives generative AI its productivity impact.
