Earlier waves of AI mostly analysed and sorted: is this email spam, which ad should this person see, what does this data trend say. Generative AI creates instead. Give it a description and it produces the thing: an essay, a product photo, a video clip, a jingle, a working web page.
Everything in the current AI boom sits under this umbrella. LLMs generate text. Image models generate visuals. Multimodal models cross between formats. ChatGPT's launch in late 2022 was the moment generative AI went from research topic to household reality.
Why you keep hearing it
Because it is the polite, boardroom-safe name for the whole phenomenon. Strategy decks say "generative AI" where a chat between practitioners would just say "AI". You will meet it in analyst reports, budget lines and conference agendas more than in daily conversation, where people have largely dropped the "generative".
What it means for you
For marketing, this is not one tool but a change in the economics of making things. Content, imagery and variations that used to take days now take minutes, which moves the bottleneck from production to judgment: knowing what is worth making, and what is good enough to carry your name.