There was a time when simply making something look polished required a fair amount of effort.
You needed someone who could write. Someone who could design. Someone who could shoot or source an image. Someone who understood layout, typography, hierarchy and production.
AI has changed that equation very quickly.
Today, almost anyone can generate a reasonable-looking logo, a competent social post, a product mock-up, a website hero image or a paragraph of polished copy in minutes.
That is genuinely useful.
It is also why polish is becoming less valuable on its own.
When everyone can make something that looks finished, the interesting question becomes: is it any good?
More output does not mean better output
AI is extraordinarily good at giving you options.
Ask for ten headlines. You get ten. Ask for fifty logo directions. You can probably get fifty. Ask for premium packaging for an organic skincare brand and you will very quickly have beige boxes, elegant serif type, botanical illustrations and perhaps some gold foil.
It may look perfectly respectable.
It may also look like fifty other skincare brands.
The problem is no longer scarcity. The problem is selection.
Taste is judgment
The word taste can sound subjective. Part of it is.
But good creative judgment is not simply “I like this”.
It is closer to: “This is right for this business, for this audience, in this context, for this reason.”
That requires understanding the business, customer, category, medium and constraints.
And occasionally having the confidence to say: no, that looks good, but it is wrong.
AI is powerful when the brand already knows itself
Coca-Cola offers a useful contrast. Its AI experiments do not begin with a blank brand. They begin with one of the world’s most codified visual systems — contour bottles, scripts, red, decades of advertising memory.
For its Create Real Magic activations, AI was used to let people recombine and personalise established brand assets. The technology expanded participation without asking a model to invent what Coca-Cola should look like from scratch.
That is an important lesson for smaller businesses too.
AI becomes much more useful once you know what must remain recognisable.
Sometimes the most valuable decision is removal
AI tends naturally towards addition. Another headline. Another image. Another concept. Another variation.
Design often improves in the opposite direction.
Remove the unnecessary paragraph. Use one typeface instead of three. Take the gradient away. Make the logo smaller. Drop a colour. Stop trying to explain everything at once.
Removal requires priority. Priority requires context.
The same thing is happening with writing
AI can write competent copy. That means competent copy is no longer particularly rare.
Give it a hotel and it can write about timeless elegance and contemporary comfort. Give it a consulting business and it can transform challenges into opportunities. Give it a design studio and it can create meaningful experiences that connect brands with people.
All grammatically fine. All almost completely interchangeable.
The human work begins when someone asks: what would only this business say?
Use AI to create more room for judgment
The most interesting use of AI in a studio is not replacing designers. It is removing some of the things that stop designers designing.
Clean the image. Sort the notes. Explore the crop. Draft the metadata. Transcribe the conversation. Generate the rough variation. Build the first prototype.
Then spend the saved time thinking, questioning, editing and deciding.
Good enough is becoming very easy
There will be an enormous amount of work that looks perfectly competent.
Which means businesses will increasingly need something else to stand apart.
Not necessarily more complexity. Not more effects. Not more content.
More point of view. More clarity. More restraint. More understanding of what makes the business itself worth paying attention to.
AI can generate the options. Taste is knowing what deserves to survive.