Simon Ornelis, Director Brand Development and Corporate Identity, duThe disruption of the brand-customer relationship by artificial intelligence (AI) won’t happen in the future; it has already happened – through AI inserting itself between intent and action.
Recently, I was happily using the help of ChatGPT to plan our next family vacation, when it suddenly dawned on me: my decades-long brand relationships with Lonely Planet and Booking.com had changed fundamentally. I was no longer sifting through articles or reviews on these websites to devise our holiday plans. Instead, I was asking an AI tool – a single source of truth – to decide where we should stay, eat and go. Decision-making
had moved.
While full consumer adoption of agentic AI is still ahead of us, the implications for brand relationships are immediate. When customers start delegating decisions to AI agents, brands stop competing for attention. Instead, they start competing for moments when customers override their agents’ recommendations.
From persuasion to delegation
In traditional marketing, the core objective is to persuade a human to perform an action in a specific moment. The brand relationship is driven by awareness and message consistency.
In an agent world, our preferences, values and constraints will be pre-encoded. This means that as customers outsource discovery and decision-making to AI, and algorithms summarise, compare and recommend on the customer’s behalf, decisions will increasingly happen without conscious human attention, and at times even before the brand message is ever seen.
As a consequence, the new relationship with the customer isn’t: “Convince me.” It is: “I trust you enough to let my AI choose you.”
Brands win when humans override their agents
In the future, competitive success in branding will be measured by one thing: how often customers choose to overrule their agent in your favour.
This is especially important knowing strong brands gain significant advantages in AI-mediated interactions. When AI systems trained on billions of data points make recommendations, they naturally favour well-known, trusted brands. This creates a compounding effect where established brands become even more prominent in AI responses.
Companies with rich, consent-based customer information, can also train more sophisticated AI agents that deliver superior personalised experiences. So, to compete, challenger brands will need to give people a reason to step into an AI response and say, “No, I want that one.”
Where overrides happen: the new battlegrounds
What are the likely areas where consumers will overrule their agent’s recommendation in favour of a preferred brand? They are all intentionally human – identity, risk meaning and delight.
First, when a brand is part of self-image, and its choice becomes an identity. No agent can fully optimise for self-image or taste.
Second comes risk, when a past experience outweighs logic. This is where long term brand investment suddenly pays off again. In essence, trust acts as a strong risk reducer.
Then comes meaning. When a brand is tied to an emotion, a purpose, maybe even a life stage, meaning becomes a reason to break the rules. Finally, delight. Given that agents are conservative by design, delight becomes a competitive advantage in a world designed to eliminate it. The more AI trains us to expect the expected, the more valuable surprise will become as a key differentiator.
How to drive brand preference in an agentic world
While adding meaning and being intentionally human become more important than ever, winning brands will do a few things consistently well.
Winning brands will treat brand as behaviour, not communication. In an automated world, what matters isn’t what a brand claims. It’s what its systems actually do: how it responds, resolves and adapts. Encoding brand elements such as identity, behaviour and personality are key.
They are machine-readable, providing clarity on price, availability, product performance and reliability in a structured way, because the least risky choice is the easiest choice.
They design for preference, not persuasion. While persuasion happens in moments, preference is built over time through differentiation, consistent positive experiences and meaningful interactions. And when decisions are delegated, preference is what survives. They recognise brand experience is delivered by operating models rather than campaigns. Companies must rethink whether traditional, siloed structures can meet AI-mediated expectations.
I believe an agent-to-agent economy will make marketing faster, fairer and more efficient than anything we’ve seen before. AI won’t kill brand relationships. It will expose them.
The upside is clear: when AI handles the rational, brands are finally free to focus on the meaningful. The brands that win will be the ones still worth choosing, consciously, emotionally, deliberately – even when no one has to.
By Simon Ornelis, Director Brand Development and Corporate Identity, du
