AI has changed the speed of creative work in a way that is difficult to ignore.
A rough image can become a polished visual in minutes. A wireframe can turn into a working prototype. Ten headline directions can appear before the coffee arrives. That is useful. Very useful.
But faster production is not the same thing as better judgment.
The difficult part of most design projects was never moving the rectangle three pixels to the left. It was deciding whether the rectangle should be there at all.
AI is very good at giving you more
Ask for ten headlines and you will get ten. Ask for fifty campaign routes and you will get something that looks like fifty routes. Ask for a premium identity for a wellness brand and you will quickly have serif type, muted colours, elegant packaging and a lot of beige.
Some of it will be competent. Some of it will be surprisingly good. Almost all of it will demand a decision from someone.
Which idea belongs to the business? Which one is simply fashionable? Which one works on a website but collapses on a 25 mm product label? Which one is easy to explain internally? Which one can survive for five years rather than five minutes on a moodboard?
A useful Indian example: Zomato’s IPL personalisation
Zomato’s 2024 IPL campaign is a good example of where AI makes genuine commercial sense. The campaign used AI to create personalised, contextual advertising for restaurant partners. But the idea was not “let AI make some ads”. The creative territory came first. AI then helped the campaign scale a concept that already had a point of view.
That distinction matters.
AI is strongest when it extends an idea. It is much less interesting when it is being asked to invent the reason for the idea.
The brief matters more, not less
If the tool can produce more, the brief has to become more precise.
“Make this look premium” was always a weak brief. With AI, it becomes a machine for producing premium-looking sameness.
A stronger brief asks different questions: What should the customer understand? What tension are we trying to resolve? What is true about this business that is not true about its competitors? What must remain recognisable? What cannot happen? Where does this identity need to work in the real world?
Speed should buy you thinking time
The best argument for AI in a studio is not that it allows us to do twice as much work in half the time.
It is that some of the time previously spent on repetitive production can now be spent on the things that deserve more attention: understanding the problem, talking to the client, testing ideas, refining language, checking applications and improving the final result.
If AI saves an hour, there are two ways to use that hour.
Make forty more options.
Or make the right option better.
We prefer the second.
AI can accelerate the work. It still cannot decide what is worth doing.