Loyalty has become one of the most valuable assets on an airline’s or a hotel’s balance sheet, and one of the least examined. Delta’s SkyMiles is valued at over $31 billion. United’s MileagePlus sits near $25 billion. By the numbers, loyalty has never looked stronger.
But the story is shifting. According to McKinsey, loyalty no longer moves the needle the way it used to. Gen Z and Millennials are less likely than older generations to switch loyalty for status or spend more because of it.
The American Customer Satisfaction Index (ACSI) 2026 travel study found something counterintuitive: loyalty-member satisfaction scores have stayed flat at 78-79 for over five years, while non-member satisfaction climbed from 70 to 74, narrowing what used to be a nine-point loyalty advantage down to just four points. This means loyalty has outgrown the architecture built to run it.
The programs designed two decades ago rewarded transactions: points for miles flown, miles for dollars spent, and other qualifying activities. That model still works as a balance sheet asset, a financing tool, and a co-brand card magnet. However, it no longer creates on its own the kind of preference that survives a better fare or a smoother app from a competitor.
Part of the problem sits in the infrastructure itself. Tiers reset once a year. Rewards stay fixed until the next refresh cycle. Data moves in batches, often overnight, while the customer expects recognition in real time: at the gate, at check-in, and during the journey. Fragmentation compounds the gap. A guest’s booking history sits in one system, service interactions in another, while partner transactions, co-brand card spend and ancillary purchases each sit in their own silo. No single view captures what that customer is worth across the relationship.
The result is a disconnect. Loyalty is valued as a financial asset in investor decks and credit facilities, yet it is often managed like a marketing program every day. Banking regulations shape how co-brand card economics work. Financial compliance shapes how companies book and report points liabilities. Loyalty leaders now answer to auditors and regulators as much as marketing heads. Member expectations move in the opposite direction. Points accumulation has taken a back seat to personalization and real-time value, and instant recognition through mobile apps, AI, and behavioral data is increasingly becoming a baseline expectation/an expected part of the experience.
Closing this gap starts with a change in mindset. Airlines/hotel groups that treat loyalty as a revenue engine, a data asset, and a financial instrument will be the ones that close this gap first. The rest of this blog looks at the shift required, and what it can deliver.
AI: The Operating System of Modern Loyalty
Loyalty is moving through a clear progression: from transaction tracking, segmentation, and real-time engagement to AI-led decisioning. That last step marks a shift from rules-based execution to systems that learn continuously from every interaction.
Traditional loyalty engines processed transactions and assigned points after the fact. AI-driven programs can identify intent, predict behavior, and respond while the interaction is still relevant/still matters. Loyalty stops running on single-brand rules and starts working more like a market exchange, where airlines, hotels, banks, and retail partners trade value in real time instead of settling points in batches.
A handful of capabilities are doing most of the work. A unified customer view replaces fragmented records with one profile spanning bookings, stays, spend, and service history. Real-time profiles update as behavior happens, not overnight. Predictive models flag churn risk, upgrade potential, and lifetime value before the customer signals it. Next-best-action engines attach a data-grounded recommendation to every touchpoint instead of a generic offer. Dynamic pricing on offers and ancillaries adjusts to demand, inventory, and individual value. Continuous optimization refines recognition over time without eroding perceived value through constant discounting.
The most forward-looking technology is agent-to-agent interaction: loyalty platforms negotiating and transacting directly with partner systems, with minimal manual intervention, backed by real-time interoperability across airline, hotel, and partner networks.
Together, these capabilities create a fundamental shift in what loyalty does. Loyalty interacts with algorithms before a human enters the decision. This helps in three ways: it aligns customer experience directly with revenue outcomes, improves yield on inventory and rewards without eroding value through discounts, and replaces periodic campaigns with continuous, revenue-generating interaction.
AI-Driven Partner Loyalty Exchange
Today, an airline’s / hotel’s loyalty currency generally cannot be used across an arbitrary hotel, retail or fuel ecosystem unless the airline has established a specific partnership or redemption arrangement with that merchant/program. Platforms such as Points.com can provide the infrastructure to facilitate exchanges between participating loyalty programs. This creates a dependency on third-party networks for connectivity, transaction orchestration and, in some cases, exchange economics. An AI-native model could allow airlines to establish and manage more direct partner-to-partner exchanges, giving them greater control over their loyalty currency, customer data, exchange economics and partner ecosystem. An AI-native model would also allow an airline’s / hotel’s Loyalty AI Agent to discover partners, understand their APIs, loyalty currencies, eligibility rules and transfer mechanisms, and automatically establish the required connectivity.
An airline’s or hotel’s AI agent can manage the complete exchange journey: member validation, eligibility, exchange-rate calculation, fraud checks, point debit/credit, notifications, and reconciliation. The airline / hotel remains the system of record for its loyalty currency while AI determines the optimal exchange economics based on customer value, demand, liability, partner economics and redemption behavior.
In essence, AI can replace the need for the intermediary’s orchestration and integration role, allowing airlines/hotels to connect more directly while maintaining control of their customers’ data and loyalty economics.
The Infrastructure Behind the Scenes
None of this runs on legacy infrastructure, which is why infrastructure is the real point of focus. It takes real-time data platforms instead of batch processing, API-first architecture connecting airlines, hotels, financial partners, and distribution channels, and AI and machine learning decision making embedded directly into pricing, inventory, and engagement workflows rather than added afterward. It also takes omnichannel delivery across direct, indirect, and partner ecosystems, along with identity, consent, and governance frameworks strong enough to support secure operations at scale. This is the layer most loyalty programs underinvest in, and the one that decides whether everything built on top of it works.
Loyalty: The Compounding Engine
Get that infrastructure right, and loyalty starts creating value at every interaction. Dynamic offers, upselling, and ancillary monetization turn every interaction into a revenue moment instead of a point transaction. Always-on engagement replaces campaign spikes, so members hear from the brand because their behavior calls for it, not because a quarter is ending. Loyalty systems allocate seats, rooms, and rewards inventory to the right customer at the right moment, lifting yield without discounting value away.
How that value moves is also shifting. Stablecoins and blockchain-based rails are moving from experiment to infrastructure, with industry analysts now counting stablecoin volumes in the trillions, rivaling major payment networks. Some travel companies are also exploring tokenized loyalty currencies and digital travel credentials. Tokenized points are like digital assets: a mile earned on one brand can move toward a stay on another, which raises perceived value while reducing the liability that unused points create on the books. That portability also strengthens partner economics, expanding co-brand card and banking alliances as loyalty becomes easier to exchange across networks.
The effect: better data improves offers, better offers improve engagement, and better engagement improves yield.
Real Examples of Airlines and Hospitality Programs
The Next Frontier: Loyalty in an AI-Mediated Market
The travel market is moving from customers making decisions themselves to AI agents planning, comparing and booking on their behalf. Partnerships such as Sabre, PayPal and Mindtrip are already bringing agentic AI into real travel bookings. For airlines/hotels, this means they will need to engage not just travelers, but the AI agents making decisions for them.
For loyalty, this changes the game. Loyalty needs to become part of the booking journey—not something added later. Broader partner ecosystems, easy access to loyalty data, and real-time rewards and redemption will become increasingly important.
As AI agents make more decisions and transactions, identity, consent and trusted customer data will also become critical. If an airline or hotel cannot make its loyalty benefits visible and accessible to an AI agent, it risks being left out of the customer’s decision altogether.
Loyalty has outgrown its original mandate. It now drives revenue, customer ownership, and enterprise value, standing alongside fleet and real estate as a core asset.
The leaders who pull ahead will be the ones who run loyalty as a real-time, enterprise-wide capability, integrated with pricing, inventory, finance, and partnerships, while preserving the human connection at its center. It is time to stop managing loyalty as a program and start leveraging it as the enterprise asset it has already become.
Key Contributor: Dolly Krithika Srinivasan, Dy. Manager – Content/ Research & Sales Enablement