Anyone can generate a passable logo in about ten seconds now. Type a business name and a vibe into an AI image tool, and out comes something clean, colorful, and completely forgettable. That's not a knock on the tools — it's the actual argument for why real brand identity work is worth more today, not less.

What got cheap, and what didn't

AI made the production of a logo cheap — the pixels, the color palette, the icon. It did nothing to make the thinking behind a logo cheap: understanding what a business actually stands for, who it's competing against, what its customers associate with quality in this specific category, and what will still look right in five years, not five months.

That thinking was always the expensive, valuable part. Production was just the visible output of it. When production gets automated, the market doesn't stop valuing the thing that was actually driving the value — it just gets clearer about what that thing was.

Why "looks fine" is now a liability, not an achievement

Here's the uncomfortable part: because AI-generated marks are everywhere now, "competent and generic" is no longer a safe, invisible choice. It's a visible signal that a business didn't think hard about its own identity — and increasingly, customers can tell.

A logo that looks like it could belong to any of your competitors used to be a forgettable mistake. Now it's an obvious one.

What still requires an actual human decision

What this means practically, if you're starting or rebranding a business

AI tools are genuinely useful for the parts of the process that used to eat time without adding much value — quick mood boards, rough concept sketches to react to, color palette exploration. Use them there. But treat the actual identity decision — the mark you'll put on every invoice, storefront, and product for the next several years — as a strategic choice, not a generation task.

The practical takeaway: the bar for "acceptable" design has dropped to near zero. The bar for "actually distinctive" has, if anything, gone up — because it's now competing against an ocean of AI-generated sameness instead of a handful of human competitors. That's the argument for investing in real identity work now, not despite AI, but because of it.