For a long time, creative identity was closely connected with recognisable style.
- A particular way of drawing.
- A distinctive photographic treatment.
- A lettering style.
- A colour palette.
- A way of composing a page.
Those things still matter.
But generative AI makes the relationship between style and identity considerably more complicated.
If a visual appearance can be reproduced, approximated or endlessly varied through a prompt, perhaps style was never the most important part of creative identity in the first place.
My own research arrived at a similar conclusion for very different reasons.
I began by trying to improve my lettering skills and searching for an authentic visual voice.
Eventually I realised that identity was emerging less from perfect letterforms and more from the things I chose to explore, the language I used, the way I connected ideas, and the processes that helped me make sense of them.
That distinction feels increasingly useful now.
Creative identity might reside in:
- what we notice
- what we care about
- what questions we return to
- what we choose to make visible
- what we reject
- how we interpret something
- how we connect one idea to another
- why we make at all
That makes creative identity an interesting educational problem.
We certainly need to teach students how to use emerging tools.
But we also need to help them develop something that cannot simply be selected from a menu of styles:
a point of view.
The arrival of generative AI may therefore force us to separate two ideas that were previously easy to confuse:
- How my work looks
- and
- who I am as a creative practitioner
are not necessarily the same thing.
Perhaps creative identity has always lived deeper in the process.
AI has simply made that easier to see.