The Airline Industry Built Smarter Passengers. It Forgot to Build a Smarter Relationship with Them.

The same AI revolution that gave passengers real-time rebooking options, fare transparency and rights awareness also gave airlines chatbots and queue deflection. The asymmetry is showing up in loyalty data.

The Asymmetrical Relationship 

Something recently shifted in the relationship between airlines and their passengers, and it happened gradually enough that most carriers missed it. AI arrived in commercial aviation as an operational tool. It was an obvious solution to manage disruption, monitor service volume and personalize offers. Airlines invested heavily and realized very heavy returns. Predictably, costs came down, queues became more manageable and yield management came into focus. What the investment thesis did not account for was what was happening on the other side of the transaction. 

Passengers gained access to a version of the same technology through their phones, third-party apps and traveler communities who began pooling and publishing what they learned. They discovered their rights under Rule 240 and EC 261, along with how to find the same seat for less on a partner carrier. They also learned when to call, which number to call and what to say when they got there. They learned to screenshot the fare before it changed and screenshot the delay notification before it was revised. All of this led to the collapse of the information asymmetry that had governed airline-passenger relationships for decades (the airline knows everything; the passenger only knows the price on the ticket). What replaced it was something the industry has not yet fully designed around — a passenger who knows as much as, and sometimes more than, the agent across the counter. 

It’s easy to see how this asymmetry is not a technology problem. Airlines have more data on their passengers today than at any point in the history of the industry. The asymmetry is a strategy problem. Industry AI was deployed to optimize the airline’s side of the relationship. But nobody redesigned the relationship itself. 

Three Tensions Worth Noting 

Automation vs. The Moments That Matter 

The first tension is between automation and the moments that matter most. Airlines have concentrated AI deployment at the highest-volume, lowest-stakes touchpoints — check-in, baggage tracking, routine status updates. These were sensible places to start. But the unintended consequence is that the moments of highest passenger stress — the missed connection, the cancellation, the upgrade that didn’t clear — are now routed through systems optimized for deflection rather than resolution.  

A passenger who has just watched their connection evaporate doesn’t want to be told by a chatbot that a human agent is available at the gate. They want the rebooking done before they stand up. The technology to do this exists. The organizational will to deploy it in service of the passenger, rather than the operation, has been slower to arrive. 

Personalization vs. Trust 

The second tension is between personalization and trust. Airlines have invested significantly in personalization engines — systems that know the traveler’s seat preference, their meal selection history, their status level and their likelihood to upgrade. That data is being used primarily to increase revenue per passenger. Passengers know this. The in-app offer is understood to be a commercial proposition, not a service gesture.  

This gap between what airlines know about their passengers and what passengers feel airlines do with that knowledge is where loyalty erodes. Personalization that serves the airline’s yield is table stakes. Personalization that demonstrably serves the passenger (anticipating the connection risk before the passenger checks, flagging the lounge access they didn’t know they had) is where the relationship can be rebuilt. 

Loyalty Programs vs. Value 

The third tension is between loyalty program architecture and the way more and more travelers actually think about value. Points programs were designed for a traveler who trusted the long game — accumulate now, redeem later, build status over time with a single carrier. That architecture is under structural pressure from a traveling population that has more options, more price transparency and less inclination to defer value to an institution they’re still deciding whether or not to trust. The programs that are gaining ground are the ones that deliver something real in the moment that they have the passenger’s attention — not in the hypothetical future when enough miles have accumulated to make redemption feel worthwhile. 

Reframing in Service of the Passenger 

The industry’s strategic reframe starts with a simple question airlines have not yet asked clearly enough: what would it look like to deploy AI in the service of the passenger rather than in the management of the passenger?  

The distinction sounds subtle but the executional implications are profound. It means using disruption intelligence to rebook proactively rather than responsively. It means surfacing the upgrade, the lounge access or the compensation before the passenger asks — rather than after they escalate. It means designing the AI layer to resolve the problem the informed passenger already knows they have, rather than routing them toward a human after the system has failed. 

For marketing and loyalty leadership specifically, it means auditing whether the personalization infrastructure is generating trust or merely generating revenue. These are not always in opposition, but knowing where they diverge is the work. A loyalty program that delivers genuine value at the moment of friction (not just at the moment of booking) will outperform one that delivers more points in the long run, because it’s speaking the language of a traveler who’s already decided that later is not the goal.  

For customer strategy, it means accepting that the informed passenger is not an issue that needs to be managed. Rather, it is the baseline condition of the category. The brands that design around that reality — that build service models which honor what the passenger already knows, rather than attempting to override it — will earn a different quality of relationship than the ones still optimizing for the pre-AI traveler who no longer exists. 

Build a Smarter Relationship 

It’s time to build a smarter relationship with your passengers. Material works with airlines at the level of CX data — connecting feedback signals to operational performance and financial outcomes, building the measurement architecture that makes the gap between passenger intelligence and airline responsiveness visible and actionable. 

What we bring to this conversation is not a technology recommendation. It’s a strategic one. We help airline leadership teams understand what their passengers have already concluded about them — before those conclusions harden into churn — and design the product, service and loyalty experiences that close the gap. The passenger who knows their options is also the passenger who will tell you exactly what would earn their loyalty. 

We help you hear that clearly and act on it before the window closes. 

Reach out today and let’s start the conversation.