Why most AI branding looks identical, and how we use AI without the slop
Coffee shop branding for a business that wants to stand out in a crowded market and who wants to normalise the girl grip.
AI branding isn't bad. I want to be honest about that before I say anything else, because most of the discourse around this treats "AI-generated" as an insult, and I don't think that's fair. I've seen far worse branding done entirely by humans.
But here's the real problem, and it's not the one most people are naming. AI branding doesn't look bad. It looks beige.
Beige, not slop
Everyone's calling it "AI slop." I'd push back on that word. Slop implies mess, chaos, something visibly wrong. What AI branding actually produces, left to its own devices, is the opposite: clean, safe, competent, and completely interchangeable. You can spot it instantly, not because it's ugly, but because you've seen the same button shape, the same "friendly but professional" typography, the same rounded card layout on a hundred other Shopify and Squarespace templates before it. It's not sludge because it's broken. It's sludge because it's the same sludge, everywhere, wearing a different logo.
If you're launching direct-to-consumer and trying to build genuine trust with customers, that's a real problem. A beige brand doesn't fail immediately. It fails slowly, by never quite standing out enough to be remembered.
Why it happens
AI branding looks templated because it is templated, structurally. A model trained on the average of everything produces the average of everything, unless something outside the model is pushing it toward a specific point of view. Without a founder's actual story, a genuine strategic position, and someone directing the tool with intent, AI defaults to the safest, most statistically common output it can generate. Safe is the entire problem. A brand's job is to be recognisable, and recognisable is the opposite of average.
What we actually do differently
The tools I use, Adobe Firefly and Express among them, aren't the differentiator. Everyone has access to the same tools now. The differentiator is what goes into them before a single asset gets generated: a real strategic foundation, the founder's actual why, the specific story that got the business built in the first place, all worked out through proper brand strategy before AI ever touches the visual output.
Used that way, AI becomes a production accelerant for a genuinely distinct idea, not a replacement for having one. That's the entire difference between a brand that looks AI-assisted and one that looks AI-generated. One has a point of view feeding the tool. The other is just asking the tool to decide.
This is also exactly why I built Women in AI House, and why I speak on this at universities, founder events, and industry stages: the adoption question isn't "should creative teams use AI." It's "who's teaching creative teams to use it with a point of view instead of just a prompt." That's the gap actually worth closing.
If your brand looks like it could belong to anyone, that's not an AI problem. That's a strategy problem AI happened to make visible faster.
