Matt Cochran co-authored this article.

Key takeaways:

• AI in the travel industry runs the risk of commoditizing historical loyalty levers by making price, convenience, benefits and alternatives easier to compare.
• Loyalty programs must rapidly evolve their capabilities to help brands deliver emotional, experiential and contextual value, not just points, perks or economic rewards.
• Travel loyalty programs must shift from brand-driven rewards to value-driven relationships that influence choice before, during and after the trip.

Historically, loyalty programs were built around brands—rewarding repeat stays, encouraging direct booking and locking in long‑term value through points, tiers and perks. But in today’s AI-mediated world, loyalty survives only if it delivers something an algorithm can find but can’t replicate: clear, genuine and personal customer value.

For travelers, planning a trip has never been easier, or more abstracted from the brands they ultimately book with. Generative AI and intelligent travel agents are rapidly reshaping how trips are discovered, compared and purchased. Ask a large language model (LLM) where to stay, when to fly or how to optimize a trip, and it can assemble options instantly across brands, platforms and price points.

But as AI becomes a larger part of the front door to travel planning, a critical question emerges for travelers: What is loyalty’s role when decisions are increasingly made by machines on our behalf?

3 traditional loyalty pillars and how AI is changing their impact

For decades, travel loyalty programs delivered value to travelers across three core pillars. What we are seeing is that while AI doesn’t eliminate these pillars, it does fundamentally change the value they drive in the digital world and where they show up.

Loyalty as a switching cost

Loyalty once worked because leaving felt costly. Travelers risked losing the points they had earned, the status they had built and the familiar habits that made choosing the same brand feel seamless and worthwhile. AI eliminates that friction entirely, optimizing each trip on its own merits. Loyalty now has to earn its place on every single booking, not bank on the last one.

Wyndham’s integration of LLM connectors into its booking experience is an early signal of where this goes. AI doesn’t have to bypass brand loyalty; it can be the mechanism that delivers it.

Loyalty as personalization

Loyalty programs built their personalization edge on data nobody else had—your booking history, your preferences, your tier. AI now infers more from a single conversation than a loyalty profile built over years. To stay relevant, programs need to offer context AI can’t access: the human texture of a traveler’s relationship with a brand.

Airbnb’s investment in intent-based machine learning goes beyond predicting what a traveler will book. It’s an attempt to understand why, pulling signal from behavior far upstream of search. That’s a personalization gap that legacy loyalty programs, anchored to past stays, are structurally unlikely to close.

Loyalty as value optimization

For years, direct booking gave travelers a clear value equation through better rates, confirmed upgrades and redemption value that compounded over time. AI compresses that comparison to milliseconds and will increasingly surface cross-brand options that match or beat it. Points alone won’t hold attention. Access, guaranteed benefits and experiences that can’t be comparison-shopped will.

Hyatt’s guaranteed suite upgrade awards reframe what loyalty value actually means, not a promise of future reward but a confirmed benefit visible at the moment of booking. That’s a direct response to AI comparison shopping. The loyalty advantage has to be concrete enough that an algorithm can see it too.

Where loyalty value needs to show up across the journey

To remain meaningful for travelers, loyalty in the AI era must evolve beyond discounts and free nights. The strongest programs will focus on value that extends past the booking moment and experiences that AI alone can’t replicate.

Winning programs will lead less with points and more with access that can’t be replicated elsewhere, such as premium inventory, distinctive room attributes, experiences that only exist inside a direct brand relationship. Above that sits something harder to copy: human moments, curated local access and recognition that follows a traveler across the entire journey rather than resetting at checkout. All of this ultimately leads to everyday relevance. It leads to partnerships that make loyalty worth something even when no trip is on the calendar.

In other words, loyalty becomes less about accumulation and more about continuity and care, delivering premium experiences that drive value beyond AI.

What all of this means for the customer

In an AI‑first world, loyalty doesn’t disappear, but it must earn its place. The programs that win won’t ask travelers to stay loyal out of habit. The programs that will win will be the ones that make travel meaningfully easier, deliver benefits that feel personal and timely well beyond the trip itself and create experiences that AI can help surface—but can never replicate.

For travelers, that means differentiated access, experiences money can’t buy, recognition that travels with you and everyday relevance beyond the trip. It’s about protecting value, recognition and meaning in a world where AI increasingly makes the choices. Over time, loyalty becomes less about accumulation and more about continuity. The program should help travelers feel recognized, protected and better served across the trip and beyond, not just rewarded after the fact.

How brands must respond and evolve their loyalty approach

It’s very clear that this is not a marginal threat. It challenges the core mechanics of how loyalty programs create differentiation. If AI can dynamically surface the “best option” for a consumer at any given moment, regardless of brand affiliation, then loyalty as we know it risks becoming less sticky and more interchangeable.

For travel and hospitality leaders, the mandate is more practical than philosophical. Loyalty programs cannot remain static while AI-driven experiences evolve around them. They must be reimagined from the ground up, shifting from fixed rewards and tier structures to adaptive, AI-powered value systems that personalize benefits, pricing and experiences in real time.

This will require meaningful operational change, but that shift is not optional. The next generation of loyalty programs will not compete on points. They will compete on how intelligently they use AI to deliver value at the individual customer level.