• by Chase Howell , April 17, 2026

Today’s consumers expect every brand interaction to feel personally relevant. If I live in a four-season climate, I expect a retail brand to recommend hoodies in winter, not tank tops. AI has made this level of personalization not just possible, but scalable. Brands can now generate thousands of content variations based on behavior, location, purchase history, and more.  

But there’s a catch: The more you personalize, the easier it is to fracture your brand identity. (And importantly, this isn’t a model quality issue. Even perfectly trained systems can produce content that’s individually on-brand, but collectively incoherent.)  

Brands, by definition, are communal experiences. They’re shared truths that connect us culturally. Think of Coca-Cola’s holiday campaigns or “Built Ford Tough.” These work because nearly everyone recognizes them. They’re consistent enough to become reference points.   Your brand could speak to 10,000 micro-audiences tomorrow. But should it? And if it does, how do you ensure those 10,000 variations still express the same underlying truth? 

Personalization is scaling. Coherence isn’t.

This tension is already showing up in the data. According to VML’s Future Shopper Report 2025, 45% of consumers think brands do a poor job of personalization, and 49% say recommendations feel random or irrelevant.   In other words, the industry isn’t failing to personalize; it’s failing to do it coherently.  

Consider a brand that emphasizes performance to one audience, sustainability to another, and safety to a third. Each message is accurate. But if those audiences overlap -- or simply compare notes -- the brand starts to feel as if it stands for nothing in particular.  

A brand can be technically consistent in execution and still inconsistent in what itmeans.  

That’s the real risk: optimizing for short-term relevance while slowly eroding long-term distinctiveness.  Historically, consistency meant repetition. Say the same thing everywhere and enforce it through guidelines and approvals.   That model breaks down at scale. Programmatic media, dynamic email, and real-time content systems don’t wait for approvals. But handing everything to AI without guardrails isn’t the answer either.

Consistency today isn’t about sameness. It’s about coherence: the feeling that, across dozens of touchpoints, everything still comes from the same place -- not identical, but unmistakably connected. 

A more practical way forward

The brands getting this right aren’t choosing between consistency and relevance. They’re designing for both.  A useful way to think about it: 

Core: Your non-negotiables. Positioning, voice, key messages, and “campfire moments.” This is the shared layer that builds brand equity, and it should not be personalized.

Adaptive: Where most campaign work lives. Content flexes by audience and channel, but stays grounded in the same core truth. Humans define the logic; AI helps scale it.

Dynamic: Real-time personalization. AI handles execution at speed, while humans define boundaries and monitor for drift.   The brands that win won’t be the ones that personalize the most. They’ll be the ones that use AI to become more relevant without becoming unrecognizable.