Loyalty was built to win a person’s attention. Now an algorithm often decides first — and most programs aren’t built to be seen by it.
For thirty years, loyalty has been built to win a person’s attention. Points, tiers, status, the well-timed offer: all of it assumes a human is sitting there, looking, ready to choose. We got good at earning that choice, but that assumption is quickly evolving.
More customers are handing the decision to an AI assistant. They ask it to plan the trip, compare the options, and complete the purchase. McKinsey has forecast that AI agents could mediate $3 trillion to $5 trillion of global consumer commerce by 2030 and become the first stop in the shopping journey. When that happens, a loyalty program is no longer making its case to a customer. It is being read, or skipped, by software that decides in milliseconds what is worth surfacing, which is why program teams must adapt.
I’ve spent more than two decades in marketing and loyalty, and I think this is the most consequential shift the field has faced. It’s also the most misunderstood. Too many brands are filing agentic commerce under “someday.” It is becoming live infrastructure now.
The New First Audience Is AI
Consider where loyalty enters an AI-mediated purchase. A traveler asks an assistant to book a hotel for a trip abroad. The assistant weighs price, location, cancellation terms, and availability. If it cannot read that the traveler holds points, status, or a redeemable reward with your brand, that value does not exist in the decision. The customer earned it, the program holds it, but the agent never sees it.
This is the part that should get every loyalty leader’s attention. A reward your customer cannot use through the channel they are actually buying in is not a benefit. It is a liability you are still paying to maintain. And here is why it is so easy to miss. When you lose this way, nothing looks broken. There is no abandoned cart to chase, no lapsed-member email to send. The customer asked, the agent delivered, a competitor won the booking, and everyone moved on. You lost quietly, and you didn’t get the data to know it had happened. You cannot fix what you cannot see.
Also Read: The Loyalty Assumptions Holding Marketers Back
Why Most Programs Are Not Ready
The problem is not that loyalty programs lack value. It is that the value is trapped in the wrong place. Balances, status, and redemption rules live inside systems built to serve a brand’s own apps and partners. They were never built to be read by a third-party agent acting for the customer.
Being legible to an AI agent means three things. The agent has to read your loyalty value. It has to trust that value enough to act on it. And it has to do both in real time, without a custom integration built brand by brand. The middle one is the hard part. Reading a balance is simple, but trusting it enough to transact on it in front of the customer is not. The day an agent acts on your data, a wrong balance, or an expired offer still showing as active, becomes a failure at the point of purchase, and accuracy and fraud protection stop being a back-office problem and become a customer-facing one.
Structure For The Machine, Recognition For The Human
Loyalty does not stop being human. The opposite is true. The brands that win will treat the agent as the first audience without abandoning the relationship underneath it. The agent may become the gatekeeper at the moment of purchase, but the human is still the reason the relationship exists at all. You have to serve both, and they need different things.
The machine needs your data structured, accessible in real-time, and interoperable, expressed in a form an agent can parse and act on instantly. The human still needs to feel recognized and understood.
The mistake is treating these as a trade-off. Structure is what lets the emotional value reach the customer in the moment that now matters most. If the agent cannot see the reward, the customer never feels the recognition.
Also Read: Too Much Data. Not Enough “Why.”
What Marketing Leaders Should Do Now
Start with a plain question about your own program: if a customer tried to use their points or status through an AI assistant today, could they? For most brands, the honest answer is no.
Three moves should be taken into consideration:
- Get your data legible: real-time and structured so an outside agent can use it, not locked in an app or an overnight batch.
- Get it governed: treat accuracy, trust, and fraud protection as part of the product, because the day an agent transacts, your data quality is your customer experience.
- Keep earning the human preference, because that relationship is the one thing the agent cannot manufacture.
Emerging standards are making it possible to do this without a separate build for every assistant. The Model Context Protocol, an open standard for exposing data and tools to AI agents, is one such mechanism. The brands that adopt open standards early will be present in the conversation. The ones that wait will find their programs have quietly gone invisible at the exact moment customers are deciding what to buy.
Throughout the history of this industry, the first call in a purchase was made by the customer, and our job was to influence it. Agents are starting to take that action on the customer’s behalf. This is not the end of loyalty. It is its evolution: a new audience we have to earn, sitting in front of the one we already know.
