AI is not killing creativity; it is killing mediocrity
If everyone reaches the same models, where does the difference come from? In the age of AI, you separate on direction and judgement — not on tools.
AI is not killing creativity; it is killing mediocrity
The debate over whether AI will end creativity asks the wrong question. The models are open to everyone, the cost is close to zero and production speed is near limitless. Under these conditions what loses value is not creativity; it is average work. Output that used to pass as "good enough" is now one keystroke away.
Tools levelled; direction did not
When two teams reach the same model and one produces work that matters while the other collects folders of output, the difference is not the tool. The difference is in what was asked, what was chosen and what was thrown away. AI produces endless options; reducing the options is still human work.
Speed is not a strategy
"We produce faster" is not a position on its own. Speed only means something once it is pointed in the right direction. Moving fast in the wrong direction takes a brand further away in less time. So we put speed at the service of strategy, never in its place.
AI + human: the division of labour
We keep a clear division: AI for scale, variation and speed; human intelligence for direction, judgement and meaning. The model produces a hundred options, the team makes three of them defensible. When that split is unclear, what comes out is not production but noise.
The end of average, the return of craft
As average work becomes free, value shifts back to craft: framing the idea, finding the right reference, knowing why a frame is that frame. AI does not make this skill unnecessary; it makes it the thing that separates you.
