Every generation of marketers encounters a technology that promises to transform the business. And every generation wonders whether this time the creative craft is truly at risk.
The conversation quickly turns to replacement: Will algorithms do the work once reserved for writers, art directors, and designers?
A more realistic question is what happens after the technology becomes ordinary.
The history of creative industries proves that tools rarely settle the question of quality. They change the economics of making things. They compress timelines, lower costs, expand access, and reshape expectations. What they do not do is explain why one idea captures people’s imagination while thousands of others disappear almost immediately.
Every campaign begins with an idea, yet much of the work happens after that moment. Concepts become presentations. Storyboards become shoots. Assets are reformatted, revised, localized, resized, tested, and adapted for an expanding collection of channels. An enormous amount of creative energy is devoted to moving work from one stage to the next.
Artificial intelligence has the potential to change that part of the process in meaningful ways. It can organize information, accelerate production, simplify repetitive tasks, and reduce the time between a concept and its execution. Those capabilities deserve attention because they give creative people something that has become increasingly scarce in modern marketing: time.
There is a useful comparison in the arrival of digital photography. When cameras became digital, photography became faster and more accessible. Technical barriers fell away. More people could make photographs, and they could make many more of them. The result was not the end of photography as a craft. If anything, the craft became easier to recognize. Once technical competence became widely available, attention naturally shifted toward perspective, composition, timing, and storytelling. The camera remained essential, yet the photograph still depended on the person standing behind it.
Advertising now finds itself in a similar moment. As artificial intelligence makes production more efficient, execution itself becomes less remarkable. The qualities that distinguish one campaign from another will have less to do with the mechanics of production and more to do with the originality of the thinking that guided it from the beginning.
AI is at its best with the repetitive, error-prone work that sits between a concept and its final form. Reformatting, versioning, localizing, checking for consistency across dozens of assets: this is exactly the kind of tedious, high-volume production where it excels and where people tend to make mistakes. Those strengths make it an extraordinary production partner. None of that, though, tells you what the idea should be.
This technology will undoubtedly make it easier to create more marketing materials across more platforms than ever before. Yet the abundance of content only increases the value of ideas that invite people to stop, reflect, smile, or see something familiar from an unexpected angle. As more messages compete for the same moments of attention, originality becomes easier to appreciate.
For agencies, the opportunity here is creative before it’s technological. It isn’t really about how much of the workday AI can take over. What matters is whether the time it frees up goes back into the thinking. A tool that shortens the production schedule is only worth something if you spend what it gives you on making the idea better. That part, deciding what’s worth making in the first place, is still on us.
The author, Avi Cohen, is the Co-Founder & Activation Lead, at Folk Devils