AI Branding Drifts Toward the Average. These 3 Things Keep Your Brand Distinct.

An Adobe keynote on AI and branding

We recently sat in on a keynote from a speaker at Adobe, a company that builds some of the most widely used AI creative tools on the market. Her core point stuck with us: when founders and established companies lean on AI for branding and other public-facing creative, the work tends to regress to the industry average. That's the exact opposite of what a brand is supposed to do.

She also named three things that truly separate brands, and that AI can't build for you. In a market filling up with AI slop, she called them the new moat. We agree, and they're worth walking through.

Why does AI-generated branding drift toward average?

AI creative tools are built to produce the most likely answer to a prompt, and the most likely answer is whatever the category already looks like. Ask for "a logo and color palette for a calm, premium sleep supplement brand" and you'll get something polished and competent. You'll also get the median of every sleep brand the model has seen: soft lavender and navy, a thin sans serif, a crescent moon somewhere.

There's research behind this. A 2024 study in Science Advances by Anil Doshi and Oliver Hauser found that writers using AI ideas produced stories rated about 8% more novel on their own, but those stories were also more similar to one another. Branding works the same way. Each AI-made asset can look fine in isolation while the category blurs together, and a brand that looks like everyone else ends up competing on price.

What separates a brand when AI makes everything look the same?

Three things: a point of view, a customer relationship, and a creative signature. If a human hasn't defined, designed, and put each of these in place, a brand's use of AI will always land on average.

A point of view

A point of view is a position your competitors would disagree with. It isn't a mission statement. "We believe in clean, effective ingredients" is something every brand in the aisle would sign. A real position takes a side, and it gives every campaign something to say. Without one, AI has nothing to work from except the category, so that's what it gives you back.

A customer relationship

Your relationship with customers is built from first-party data, community, and trust you've earned over time. The speaker was especially firm on first-party data: what you learn directly from your own customers, through purchases, email, reviews, and conversations, is something no competitor can copy. None of it can be sourced from a supplier, and time can't be compressed. AI can help you use that relationship. It can't create one.

A creative signature

A creative signature is the visual and tonal design that makes you recognizable without a logo: color, type, graphic language, photo direction, and voice working together. This is where brand guidelines earn their keep. Specific guidelines (real color values, real type rules, real examples of on-brand and off-brand) give AI tools constraints that pull output back toward your brand. "Modern, clean, approachable" gives a model nothing to hold onto, and without a defined signature, AI regresses to the aesthetic average.

AI is still a useful creative tool

None of this means brands should avoid AI. Used well, it's fast, cost effective, and genuinely helpful for ad variations, resizing assets across formats, quick mockups, and repetitive production work. We use it in our own work for those reasons.

Some work should stay off the table entirely. Supplement labels carry FDA-required statements and strict Supplement Facts formatting, and getting those wrong creates real compliance risk. That's work for a designer who knows the regulations, not a prompt.

Who should be in the driver's seat?

An experienced designer should be steering any AI tool used for creative work. Spotting that an output has slid toward the category average takes someone who knows the category and has the taste to edit hard. AI can generate a hundred options in a minute. Knowing which one is right, and which ninety-nine to toss, is still a human skill.

The biggest risk shows up when AI is used to build the foundation itself. If the point of view, signature, and identity come out of a prompt, the average gets baked in from day one, and fixing it later means a rebrand.

So the order matters. Do the foundational work first, with experienced people making the calls. Then use AI to produce more, faster, inside that system. AI makes average creative cheap, and that makes a brand that looks and sounds like itself worth more than ever.