Brand management and generative AI: bringing the fundamentals back to the forefront

Generative AI is emerging as a new entry point in information and decision-making journeys. In this context, brand management has been the subject of numerous projections, usually radical, predicting a loss of control for brands, the complete dominance of the product, or even the end of brand strategies as we know them.

Yet such narratives echo cycles already observed during previous technological disruptions. Each time, the tools evolve and new uses emerge, but the fundamentals of brand management remain remarkably stable.

Our brand expert, Reed Fleetwood, offers in this “Point of View” a deeper reading of these issues and invites us to step back from alarmist narratives.

Access the full perspective on brand management and generative AI

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What generative AI really changes for brand management

Generative AI alters the way information is searched for, aggregated and reformulated. We are gradually moving from a search-engine logic to a conversational synthesis logic.
For brands, this raises a new question: how visible and consistent they are in the answers generated by these systems.

But fundamentally, brand management remains a well-known exercise. For more than fifteen years, brands have been operating in fragmented, conversational environments largely outside their direct control. Customer reviews, social media, influencers and online media have already reshaped how brands are discussed and perceived. Generative AI merely condenses and accelerates these existing dynamics.

The brand remains a decision anchor

Contrary to some common assumptions, generative AI does not eliminate brands in favor of purely rational decision-making.
The role of the brand remains the same: to create meaning, provide reference points and facilitate decision-making in a world saturated with choices.

Brand management still consists of preparing the ground, shaping perception and influencing how information is interpreted. When AI talks about a brand, it simply reflects what the brand has already built through conversations, content and collective imaginaries.

The real challenge: avoiding the “flattening” of brands

The main risk associated with generative AI is not the disappearance of brands, but their banalization.
AI systems tend to produce averaged syntheses aligned with category norms. As a result, brands that lack clear differentiation appear even more indistinct once filtered through these models.

Conversely, brands that embody a strong narrative, a clear emotional resonance or a distinctive cultural positioning continue to stand out. In this sense, AI acts more as a revealer of the strength of brand management than as a disruptive force.

Refocusing brand management on what truly matters

Facing generative AI, the temptation is strong to focus on technical issues or semantic optimization. But reducing brand management to the way an AI represents a brand would be a strategic mistake.

The challenge remains unchanged: to build meaning, coherence and desirability over time.
The brands that will prove most resilient will be those that never lose sight of what creates their value beyond algorithms.