The Return of the Great Hotelier
AI may take hospitality back to a surprisingly old-fashioned idea: the best experience wins.
🎙️ New episode of AI Lobby Talk ✨
This essay accompanies my conversation with Joe Pettigrew, Group Chief Commercial Officer at L+R, owner of Iconic Hotels & Resorts - a global portfolio that includes Cliveden House, Chewton Glen and Nobu Hotel London Portman Square.
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If you’re shaping the future of AI in hospitality (and have the scars to prove it), I’d love to hear your story on AI Lobby Talk ✨. Please contact me at jason@d3x.ai
For most of the internet era, the best hotel did not always win.
The most visible hotel often did.
Get onto the right platforms. Rank near the top. Choose the right photographs. Bid on the right keywords. Offer the right discount. Make the booking button impossible to miss.
None of this was irrational. When travellers were presented with hundreds of options, attention became the scarce resource. Hotels had to fight their way onto the screen before they could compete for the guest.
An entire commercial discipline grew around winning that fight in the attention economy.
AI is about to change the rules.
The shelf is disappearing
Imagine asking an AI assistant to find a quiet hotel in London, close to a particular office, with a proper desk, an excellent breakfast and enough space for two children.
You probably don’t want 253 results.
You want three good answers.
The AI does the browsing, filtering and comparison before you see anything. By the time a hotel reaches the traveller, much of the consideration process has already happened behind the scenes.
That is a profound change.
Today, a hotel can become visible and then persuade the traveller that it is a good choice. Tomorrow, it may need to prove that it is a good choice before it becomes visible at all.
The shelf is shrinking from hundreds of listings to a handful of recommendations.
And when there are only three places on that shelf, simply being present everywhere will no longer be enough.
You can optimise a listing. You cannot optimise away reality.
The internet created a discipline around how hotels present themselves digitally. AI will become increasingly good at understanding what they are actually like.
It will look beyond the polished homepage. It will interpret the language inside thousands of reviews, compare recurring complaints, notice what guests consistently praise and weigh the opinions of travellers, journalists and other trusted sources.
A tired and impatient traveller might choose the first attractive photograph.
An AI does not get tired.
That creates an uncomfortable possibility for mediocre hotels: the gap between the promise and the product becomes much harder to hide.
But for great hotels, it is incredibly exciting.
A brilliant breakfast is no longer only a nice moment during the stay. It’s no longer merely listing picture #5 and #6 on an OTA. It becomes a signal.
A front-desk team that handles a difficult arrival with genuine care creates more than guest satisfaction. It creates a story that may influence the next recommendation.
A room designed around how people actually sleep, work and live becomes more than an operational decision. It becomes a commercial advantage.
The experience moves from the end of the funnel to the beginning of the next one.
Hospitality becomes distribution
This challenges one of the industry’s most persistent divisions.
Commercial teams create demand. Operations deliver the stay.
One team gets the booking. The other takes over when the guest arrives.
AI makes that separation increasingly difficult to defend.
If the quality of tonight’s stay influences whether the hotel is recommended tomorrow, operations is no longer downstream from distribution. It is part of distribution.
The guest request that nobody answers, the maintenance problem that moves between departments and the strangely complicated breakfast policy with unfair child prices are not only operational issues. They are future commercial signals.
The same is true in reverse.
When a hotel remembers why a guest is visiting, resolves a problem without making them repeat it three times or delivers something unexpectedly thoughtful, that experience can travel far beyond the property.
It travels through reviews, videos, articles, recommendations and conversations. AI gives those signals a new audience and potentially a much longer life.
A surprisingly old-fashioned future
The strange thing about this very futuristic technology is that it may reward a very old-fashioned kind of hotelier.
The hotelier who cares about how the room feels at 2am. Who notices that the music is too loud at breakfast. Who understands that efficiency and hospitality are not opposites. Who knows that a memorable hotel needs character, and that consistency should never breed factory-like sameness. Who gives teams enough structure to deliver reliably and enough freedom to behave like human beings.
For years, these qualities could feel frustratingly difficult to connect to a commercial result. Everyone agreed that guest experience mattered, but visibility, placement and acquisition often received the more immediate attention. Guest experience was seen as a cost center with questionable ROI.
AI may make the connection far more direct.
That does not mean distribution disappears. Hotels will still need accurate information, sensible pricing, availability, trusted partners and an easy path to booking. A wonderful hotel that machines cannot understand or travellers cannot confidently book can still remain invisible.
But technical eligibility merely gets a hotel into the race.
“Experience” gives the AI a reason to recommend it.
The return of the great hotelier
This is not a story about replacing hospitality with technology.
To the contrary - it is a story about technology making hospitality matter more.
AI can coordinate requests, remove repetitive work and help teams see operational patterns that were previously hidden. It can raise the minimum standard of execution. But it cannot manufacture the soul of a great hotel.
If every property gains access to similar automation, the meaningful difference will still come from human factors such as judgement, taste, empathy, imagination and care.
And there you have it - the answer to the AI revolution all was something we all knew deep inside right from the beginning. And perhaps that is the most optimistic possible outcome of AI in hospitality.
A new episode of AI Lobby Talk
This post summarizes what I have learned from my latest conversation with Joe Pettigrew, Group Chief Commercial Officer at L+R Hotels and creator of Inverse Distribution Theory.
Joe has spent two decades thinking about how hotels create demand. What makes his perspective so interesting is that he does not treat AI as another marketing channel or isolated technology project. He looks at what happens when discovery, commercial strategy, operations and guest experience begin to collapse into one connected system.
It was a candid, practical and occasionally provocative conversation about what hotel performance could look like when the traveller is no longer the only one deciding which properties deserve consideration.
Most importantly though, this conversation left me optimistic. If AI pushes our industry to care more deeply about the product, the experience and the craft of hospitality, that is a future worth being excited about.
Joe, thank you for joining me and for sharing your thinking so openly.
🎥 Watch on YouTube
🎙 Listen on Spotify
ABOUT THE GUEST
Joe Pettigrew is Group Chief Commercial Officer at L+R and the creator of Inverse Distribution Theory.
Joe: https://www.joepettigrew.com/
Inverse Distribution Theory: https://www.joepettigrew.com/inverse-distribution-theory/
ABOUT THE HOST
Jason Noronha is co-founder and CEO of D3x, the AI orchestration layer for hotel operations.
D3x: https://www.d3x.ai/
Blog and podcast: https://blog.d3x.ai/
Connect with Jason: https://www.linkedin.com/in/jasonnoronhareal/