Use AI. Don’t Need AI.
Why the creative skills we had before generative AI may matter more than ever.
AI has changed creative work remarkably fast.
Things that once took hours can happen in minutes. A rough visual can become a polished concept before lunch. Ideas can be explored, challenged, expanded, and visualized at a speed that would have sounded ridiculous just a few years ago.
For those of us working in marketing and branding creative departments, learning how to use these tools isn’t optional. We need to understand them. We need to experiment with multiple variations, and we need to keep getting better at directing them.
But there’s another skill we need to use and protect at the same time:
The ability to create without them.
Talent vs Tool
There’s a strange thing happening in creative work right now. The better AI becomes, the easier it is to skip some of the messy parts of creativity. The very rough sketch on a sticky note. That first headline that gets the point across, but comes off like an old dad-joke. The hours-long Photoshop experiment that goes nowhere. These things may be time consuming, but they were once immensely important. I’d argue that they still are! They are the foundation at the beginning of the creative process. By today’s standards, the idea of going through that process seems tedious, but you know what? It didn’t seem tedious back then, in the before-times. It was just how it was done, and we looked forward to it.
I remember a time when it was common to show clients pencil-drawn storyboards, ads, and logo ideas. For the kinds of projects that lend themselves to that approach, there’s something valuable about presenting creative work before it looks finished. It creates an opportunity to collaborate with the client, speak frankly about what’s possible and what isn’t, and remove some of the pressure that comes with showing an idea that already looks fully produced. When everyone can clearly see that the work is still being shaped, both agency and client can be a little more relaxed, a little more open to additional ideas, and more willing to explore different directions. It can also give clients a greater sense of involvement in the creative process, if they want it. Thinking back to when this was common, it doesn’t really seem that long ago. Of course, we also used design software and stock images, but designers spent hours manipulating them, building original compositions, and trying things that got the concept closer to reality—or simply to see what happened. Sometimes the best inspiration comes from unexpected results and mistakes. For writers it may have been even more of a lift, staring at blinking cursors until that breakthrough concept came to them, and then exploring ways to express the idea.
A designer should still understand typography, composition, hierarchy, color, and photography. A writer should be able to find an idea, organize an argument and write a compelling headline without asking a model to take the first swing. A strategist should be able to recognize an insight without relying on an algorithm to tell them what matters.
Even when using AI, those abilities are still highly important. Prompting is absolutely a creative skill. Knowing how to direct AI, give it context, recognize potential, and push past an average result takes judgment.
But the important word there is judgment.
The tool can generate. The human still has to know what’s good.
AI Fatigue Is Coming
There’s another reason these muscles matter. At some point, people are going to get tired of seeing AI. In fact, I think early onset AI fatigue is already happening to many of us. A wider feeling of it, one that starts to affect businesses and the way we communicate, may take a little longer to fully set in. Maybe that point is two years away. Maybe it’s only a few months away. Nobody knows.
What we do know is that there are certain visual patterns, phrases, and composition styles that are becoming recognizable as AI-generated. Individually, they can be impressive. Collectively, they can begin to feel strangely familiar.
And familiarity eventually becomes sameness. In fact, the marketing world is already discussing “AI fatigue” as brands wrestle with the tension between producing more content and maintaining authenticity and trust.
My hunch is that the pendulum eventually moves toward things that feel unmistakably human again.
A photograph someone actually took.
An illustration with imperfections.
An unexpected phrase that hits just right.
A strange little idea that doesn’t make perfect algorithmic sense but somehow makes perfect human sense.
Not because AI-generated work will disappear—I don’t think it will—but because realness will become more valuable as artificial content becomes more abundant and identifiable.
What Happens When the Tool Isn’t There?
There’s also a more practical question worth asking. What happens when AI isn’t available?
That possibility doesn’t require some science-fiction collapse. Systems go down all the time. Platforms change. Access changes. Regulations evolve. Companies make decisions about their technology that affect how and when we can use it. And right now, prominent leaders within the AI industry are openly debating whether the development of the most advanced systems should intentionally be slowed in order for safety measures to catch up. Yikes.
Whatever happens, creative professionals shouldn’t be in a position where “The AI tool isn’t working today” means the work doesn’t get done today. We should still be able to concept, design, write, and strategize. We should still be able to solve the problem and, crazily enough, hit the deadline.
And there may be another reason not to hand over too much of the thinking. A recent BBC Future article, AI chatbots could be making you stupider, explores emerging research around “cognitive offloading”—essentially, what can happen when we allow AI to do too much of the mental work for us. One MIT study discussed in the article found that participants using ChatGPT showed considerably less brain activity while writing and had more difficulty recalling their own work afterward. The research is still developing, but the takeaway feels relevant: AI may be at its best when it helps us think, not when it does the thinking for us. Read the BBC Future article.
This isn’t just nostalgia for the way work used to be done. It’s professional resilience. Mostly, it’s about maintaining human relevance.
Design Like It’s 1999
There’s something appealing about imagining an exercise where we take away generative AI for a day and give a creative team a brand problem, a campaign assignment, or a blank sheet of paper. Bring out the sketchbooks, cameras, stock libraries, and fonts. Sharpies. Photoshop. Whiteboards. Whatever it takes.
Then make something.
Not because those methods are inherently better, but because those creative muscles still matter. The goal isn’t to retreat from technology. We should always continue learning the newest tools, improving our prompts, and discovering ways AI can remove friction from the creative process. But we should be just as deliberate about maintaining the organic, uniquely human skills at the heart of it all.
A camera is more useful when you understand composition.
And AI is much more powerful in the hands of someone who already knows how to think, design, and create.
Use AI. Don’t Need AI.
That may ultimately be the balance creative professionals need to find. Use AI when applicable, get really good at it, but don’t become helpless without it.
Technology will keep changing and the platforms we depend on today may look completely different tomorrow or not be there at all. The creative profession will adapt, just as it always has.
What shouldn’t change is the thing underneath all of it. Human curiosity, judgment, taste, and ingenuity. The ability to look at an empty page and see something that isn’t there yet. That will always be the thing people come to us for.
And every once in a while, it might be worth making sure we can still do it the way we did when Friends was America’s top TV show… only not with that font.
