AI-generated content is text, images, audio and video that artificial intelligence has created from an instruction – from drafts and illustrations to entire campaigns. In other words, the first draft has become free.
That changes the economics of content work. When production is cheap, volume goes up – and the value of the generic goes down. What becomes more valuable is what the machine cannot deliver on its own: the sharp angle, the genuine experience, the recognisable voice and the courage to hold an opinion.
For organisations, this raises two decisions: a quality decision – what does it take before something may be published in our name? And a transparency decision – when and how do we say that AI has been involved in the work?
In practice
A rule of thumb I often pass on: use AI to raise the floor – research, drafts, variation – but never let the machine define the ceiling. The final layer, where voice and judgement live, is human work.
»AI can produce our content – but not our meaning. From now on, we compete on the sender, not on volume.«
I unfold this point in the article When the machine writes first and on the page about AI in creative work.
The concepts in this glossary run through my AI courses and workshops, where we work with them on your own tasks.