When Every Hotel Has AI, the Competitive Edge Will Be the Hotel Itself
That is why I believe we are entering a far more interesting stage of Artificial Intelligence applied to Hospitality. I am no longer particularly impressed that a hotel has a chatbot, generates content automatically, analyses reviews or has an assistant connected to certain systems. All of this will eventually become relatively commonplace. What will truly matter is seeing what context that intelligence knows, which decisions it can improve and how much it genuinely understands about the business behind it.
A hotel contains an enormous amount of knowledge that is rarely fully reflected in a procedure. We know which rooms work best for certain profiles, which guests require different attention, when it is advisable to accept a group, which incidents tend to anticipate a complaint, which employees handle certain situations particularly well, which supplier lets us down when August arrives, which small decisions quietly undermine breakfast, or which apparently attractive rate ultimately proves unprofitable. That, too, is business knowledge, even though it has traditionally lived in people's heads.
And here, in my view, lies the major change. If all hotels end up using similar AI models, the competitive advantage will not lie in the model, but in the hotel's knowledge that model is able to understand, connect and turn into better decisions. Put another way: we will be able to buy artificial intelligence, but we will still have to build hospitality intelligence.
AI can be bought. Hotel knowledge is built over years
There is one strategic concept I have always found particularly useful: a true competitive advantage emerges when an organisation possesses resources and capabilities that its competitors do not have or cannot easily replicate. In Hospitality, that rarely depends on a single factor. It is the combination of location, product, people, reputation, processes, culture, commercial knowledge and execution capability that ultimately creates a position that is difficult to copy.
Artificial Intelligence introduces a fascinating paradox.
The better the models become and the more accessible they are, the less differentiating it will be simply to have them.
Your hotel already generates the data. HotelGEX turns it into decisions.
Connect guests, operations, Revenue, F&B, Groups & Events and Management with AI that understands the real context of your hotel.
A competitor may subscribe to a tool similar to yours tomorrow. They may access the same language model. They may use equivalent revenue systems. They may automate responses, produce commercial campaigns or analyse reviews.
But they will not be able to download from the internet ten years of knowledge about your guests.
Nor will they be able to buy, in a single afternoon, your organisational culture, the learning accumulated after thousands of stays, the experience of your teams, relationships with specific markets, your commercial criteria or that multitude of small decisions that explain why two apparently similar hotels produce completely different results.
This is where the real debate begins.
According to a BCG study published in 2025, 60% of organisations reported only minimal revenue and cost benefits from AI and lacked sufficient capabilities to scale it, while the group in approximately the top 5% was significantly widening the gap with the rest.
We are not, therefore, in a race to have AI.
We are in a race to turn organisational knowledge into decision-making capability.
In Hospitality, this seems even more important to me because our business has a particular characteristic: we generate enormous quantities of information, yet much of the knowledge that truly determines our decisions remains informal.
The PMS knows that a room was occupied.
The Executive Housekeeper knows that a certain type of guest tends to request an extra pillow.
Revenue knows the pickup.
Front Desk knows that certain events increase a particular type of request.
Maintenance knows which rooms repeatedly present certain issues.
Food and Beverage knows which products disappear from the buffet depending on the predominant nationality.
Sales knows which companies negotiate heavily but deliver little.
And General Management ends up mentally connecting many of those pieces.
The problem is that the hotel knows far more than its systems know the hotel knows.
I find that nuance fundamental.
For years, we have confused data with knowledge.
Then we confused information with intelligence.
Now we risk confusing Artificial Intelligence with business knowledge.
And they are not the same thing.
Knowing that tomorrow we have 92% occupancy is information.
Knowing that this 92% includes a particular guest mix, that it coincides with a specific event, that historical data points to arrivals concentrated between 18:00 and 20:00, that Front Desk staffing has been reduced, that some rooms will have late check-outs and that certain guests have special requests is context.
And understanding that we should probably adjust room assignments, schedules, room preparation, staffing, upselling and certain processes before the problem arises is operational intelligence.
That is far more interesting.
Because the next leap for AI in hotels will probably not simply involve answering questions better.
It will involve understanding relationships.
From storing information to building organisational memory
In my experience, many hotels suffer from a kind of recurring corporate amnesia.
We solve a problem.
We learn something.
The season ends.
Some people change.
The next season arrives.
And we rediscover exactly the same thing.
Sometimes even with the intellectual satisfaction of believing we have just found an innovative solution.
We do not merely need better algorithms. We need organisations that learn better.
That is why I believe that any hotel seeking to turn Artificial Intelligence into a genuine advantage should begin by working on five assets that are far less spectacular than a technology demonstration, but considerably more important:
- Structured operational knowledge. Procedures, incidents, solutions, exceptions, preferences, decisions and lessons learned should stop disappearing into conversations, messages or the memories of certain individuals. This is not about documenting absolutely everything—we could end up managing a library rather than a hotel—but about identifying which knowledge can improve future decisions.
- Cross-departmental context. Guests do not experience departments; they experience a hotel. Yet our information remains fragmented between Front Desk, Housekeeping, Food and Beverage, Maintenance, Sales, Marketing and Revenue. True intelligence emerges when we can understand the relationships between that data.
- Decision-making criteria. An organisation does not only need to record what it decided, but why it made that decision. This distinction will be fundamental. An AI that only observes results learns correlations. An organisation that also retains the reasoning begins to build knowledge.
- Feedback on outcomes. Every decision should be able to close the loop: decision, execution, outcome and learning. The principle is remarkably simple and aligns with classic models of business excellence: execute, assess, review and improve. AI can greatly accelerate that cycle, but only if the discipline to measure it already exists.
- Human knowledge. This is probably the most undervalued asset. An experienced receptionist, Executive Housekeeper, maître d', maintenance technician or reservations professional accumulates patterns that no manual fully captures. Hospitality remains a business in which team performance has an immediate impact on the guest experience. Our opportunity lies in ensuring that some of this learning remains within the organisation without attempting to turn people into walking forms.
This even changes the way we should think about a hotel Knowledge Base.
A basic knowledge base answers:
“What are the spa opening hours?”
A slightly better one answers:
“What is our policy when a guest requests access outside standard opening hours?”
But truly contextual intelligence should be able to answer:
“What should we do today, taking into account who is making the request, their history, our occupancy, the resources available, our policies and how we resolved similar situations in the past?”
That is where another category of tool begins.
And that is also where the risks emerge.
Because a poor automated decision is still a poor decision, even if it arrives in 0.8 seconds accompanied by a brilliantly written paragraph.
Speed has never turned a mistake into strategy.
That is why I believe that the more AI is involved in commercial, operational or guest-related decisions, the more important traceability, oversight, data quality and human accountability will become.
We should not ask only:
“Can AI do it?”
We should immediately add:
“What information is it using to make the decision?”
“Does it understand the context sufficiently?”
“Who validates the decision?”
“Can we explain why it was made?”
“Will we learn from the outcome?”
These questions are far less attractive in a sales presentation, but vastly more important when your hotel is full.
The competitive advantage will be everything competitors cannot copy by clicking “subscribe”
I believe that over the coming years we will see strong technological convergence in Hospitality.
Hotels will progressively gain access to similar capabilities: content generation, reputation analysis, forecasting, internal assistants, personalisation, translation, automated service, commercial analysis, process optimisation and probably agents capable of carrying out certain tasks.
This means that some current advantages will disappear quickly.
If a tool can reduce a particular administrative task from three hours to ten minutes, excellent. We should take advantage of it.
But when all our competitors can do exactly the same thing, we will have improved productivity, not necessarily differentiation.
This distinction seems essential to me for any hotel innovation strategy.
Efficiency answers:
“Can we do it better, faster or more cheaply?”
Competitive advantage answers another question:
“Can we do something valuable that is difficult to replicate?”
They are different challenges.
And here we inevitably return to organisational capabilities.
A hotel with twenty years of perfectly structured history, excellent teams, consistent processes, in-depth knowledge of its segments, commercial culture, continuous learning and the ability to connect all that information through AI will have a considerable advantage over another hotel that has simply subscribed to the same model.
The difference will not lie in the AI.
It will lie in everything that feeds the AI.
It is something Revenue Management taught us quite some time ago. Having a system never guaranteed good revenue management. It takes segmentation, history, demand knowledge, forecasting, market interpretation and organisational discipline to turn information into decisions.
With Artificial Intelligence, exactly the same thing will happen, but on a much larger scale.
We may have technologically sophisticated hotels that are organisationally mediocre.
And hotels with relatively simple tools but an extraordinary capacity to learn.
I would put my money on the latter.
Because there is another dimension I consider especially important in Hospitality: the experience.
Hospitality is not merely about executing processes correctly.
It is about interpreting people.
Hospitality research and practice have reminded us for decades that guest satisfaction depends to a great extent on the attitudes and actions of teams, and that a service culture is built through recruitment, training, feedback and organisational behaviour.
AI can help us enormously in all of this.
It can remember.
It can connect.
It can detect.
It can anticipate.
It can recommend.
It can free up time.
But we will still have to decide what kind of hotel we want to be.
And this is probably the most important part.
Because when we can all generate a fantastic campaign in seconds, respond to reviews perfectly, adjust prices continuously and personalise communications, something will become scarce precisely because it cannot be generated with a prompt:
judgement.
Judgement to decide when to maximise revenue and when to protect a relationship.
Judgement to distinguish a reasonable exception from poor practice.
Judgement to know when to automate and when a person needs to step in.
Judgement to understand which guest we want to attract and which guest will probably never fit our positioning.
Judgement to decide what deserves our attention.
And judgement to say no.
That is why, if I had to prepare a hotel for this new stage today, I would not begin by asking how many AI tools we have subscribed to. I would begin with a far more uncomfortable inventory: what we truly know about our business, where that knowledge resides, how much we lose each time someone leaves the organisation and which decisions we continue to make without retaining the learning they produce afterwards.
Then I would try to build something like a living corporate memory. Not a vast repository where nobody can find anything, but a system able to progressively incorporate decisions, incidents, procedures, outcomes, commercial knowledge, guest preferences and operational learning. The aim would not be to store more information. It would be to ensure that each season makes the hotel slightly more intelligent than the previous one.
And finally, I would protect what no AI should allow us to forget: Hospitality remains a business of people looking after people. Technology can help us know the guest better, eliminate absurd tasks, anticipate problems and make more informed decisions. Excellent. But all that recovered time should return to where it truly creates value: talking, observing, caring, selling, resolving, developing teams and improving the product.
Before long, asking whether a hotel uses Artificial Intelligence will probably be as irrelevant as asking today whether it uses email.
The interesting question will be another one:
Is your hotel learning faster than its competitors?
Because when we all have access to the same artificial intelligence, our true competitive advantage will be the intelligence we have managed to build around our own business.
And that, fortunately, is still not included in any subscription.
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