AI Isn't a Brand Strategy — It's Just a Faster Way to Sound Like Everyone Else
Type the same prompt into the same AI tool that a hundred other businesses are using this week, and you'll get something that looks a lot like what they got too. Not identical — close enough. Same three logo directions. Same confident, slightly generic tone of voice. Same stock phrases about "innovation" and "customer-first values" that could belong to literally anyone. That's not a flaw in the technology. It's what the technology is actually built to do: find the average of everything that's already out there and hand it back to you, faster than a person could.
Which is a genuinely useful tool for a lot of things. It's a bad foundation for the one thing a brand is supposed to do — be different from the businesses standing next to it.
The tool got faster. The problem didn't change.
Before AI, the shortcut to a forgettable brand was a cheap template or a rushed logo contest. Now it's a chatbot that can produce a full identity brief before lunch. The speed changed. The underlying risk didn't — a brand built from what already exists will always resemble what already exists, no matter how quickly it gets made.
We use AI ourselves, constantly, for research, drafts, and speeding up the parts of the process that don't need a human's judgment. The difference is where it sits in the process. AI is genuinely good at execution once direction already exists — drafting variations, speeding up production, handling the repetitive parts of getting an identity out into the world. It's not good at deciding what a business should stand for in the first place, because that decision has to come from something AI doesn't have: an actual point of view, built from real conversations with real customers, real constraints, and a real reason the business exists.
What AI can't see
A generative model can tell you what's trending. It can't tell you what your business is actually right about that your competitors are wrong about — because that insight usually isn't written down anywhere for it to learn from. It lives in founder conversations, customer complaints, the thing your team keeps explaining over and over because nobody else in the category does it that way. AI can help you say that thing more clearly once you've found it. It can't find it for you.
This is the quiet trap in AI-assisted branding: it's very good at making mediocre ideas look polished, which makes it harder to notice when the underlying idea was never distinctive to begin with. Polish isn't positioning. A well-formatted version of an average idea is still an average idea.
Where this actually helps
None of this is an argument against using the tools — it's an argument about sequencing, the same one that shows up everywhere else in branding. Strategy first, execution second. Know what makes the business genuinely different before anything gets generated, written, or designed. Once that's defined, AI becomes a legitimate accelerant: drafting more variations to choose from, speeding up content production, handling the volume work that used to eat weeks. It just can't be handed the one decision that actually determines whether the brand is worth remembering.
The businesses that will stand out over the next few years aren't the ones avoiding AI. They're the ones who used it to move faster on a distinct idea, instead of using it to arrive at the same average idea slightly quicker than everyone else.
This is an Express post — the second of our four stages: Define, Express, Build, Grow. If your business is using AI to move faster but still sounds like everyone else, Express is where that gets fixed.
