Ask a room full of
hotel commercial leaders whether artificial intelligence(AI) will change their
business and almost every hand goes up. Ask whether they feel ready for it and
watch those same hands disappear.
That hesitation is
the real story of AI in hospitality right now. In our 2026 survey of 761
commercial leaders, two-thirds said they expect AI to reshape how they run
their business over the next five years. One in 10 said they feel ready to do
it. Technology is not the thing holding them back. It’s the difference between
what they expect and what they are doing.
There is a quieter
fear under the hesitation: that this technology is here to do the job, not help
with it. That has the story backward.
I lead AI at a
company that processes more than 3 billion market signals a day. I spend my
time around models, data and the people who have to act on both. So let me be
direct about where I think the industry has the problem backward.
The gap is not capability
For most of the last
decade, the hard part of commercial strategy was knowing—getting the data,
cleaning it, building the report and waiting for the analyst. By the time the
picture was clear, the week was half gone.
The hard part has
shifted. The models are quite good now, the data is abundant and the dashboards
are everywhere. What is scarce is not insight, it’s the ability to act on the insight and move the needle
in commercial results.
The bottleneck is no
longer "can we see it." It is "can we act on it before the
moment passes." That is the gap between knowing and actually doing, and it
is where most commercial teams are stuck.
Commercial leaders
don't need anyone to explain that their tools are disconnected. They live it
every day. Six tabs open, three logins, one number that does not match the
other two. We spend too much time on looking at data, moving data around,
presenting data to others and too little making decisions, both tactical and
strategic, using that data.
Decisions are
priceless
The loudest pitches
promise AI that runs without you, but that misses the point. The decision was
never the part you wanted automated away, it is the part you were hired for.
The unit of value in
commercial strategy is not the insight. It is the decision. Insights you can't
trust are just another opinion on the pile. Insights you can trust but fail to
act on are just a regret. Decisions are where value is created.
Useful AI does the
opposite. It meets the team inside the workflow, not in another tool they have
to remember to open. It understands the commercial context, the comp set, the
pace, the market, so the answer is about this hotel and not hotels in general.
And it shows its work. Every number traces back to its source, so a skeptical
revenue manager can check the logic in seconds and act with confidence rather
than faith.
Picture a revenue
manager on a Monday morning. Instead of building the weekly packet by hand, she
asks a plain question and gets the full picture back. Occupancy, rates, parity,
where the comp set moved over the weekend and why. Every figure linked to where
it came from. She reads it, trusts it and makes the call. The work that used to
fill her morning takes minutes. The decision is still hers.
This should be the
standard. Not AI that decides for you, but AI that gets you to the decision
faster, with the evidence in hand, and leaves the judgment where it belongs.
Closing the gap
If the industry's
challenge is moving from knowing to doing, then AI must be designed
differently. This is the thinking behind what we built. We call him Ernest. He
is Lighthouse's AI, and he works inside the commercial operating system for
hotels.
We say "he"
on purpose. Ernest is the teammate your commercial team asks, not the dashboard
they dread. Ask him a question in plain language, and he answers with a
suggested next step you can verify, grounded in live market data rather than
general knowledge, with every signal traced back to its source. He sees what
almost no single system can: tens of thousands of hotels across 185 countries,
billions of market signals a day, structured for action instead of just
reporting.
Today Ernest does
more than get you to the decision. With your approval and inside the guardrails
you set, he acts on the work that used to eat up your week. The reports, the
alerts, the repetitive scanning. The judgment stays yours. The grind does not.
The demand shift that
used to be a story for the Monday meeting becomes a Tuesday decision. Now you
can move while the moment is still yours.
The hotels that win
the next few years will not be the ones with the most AI. They will be the ones
who act first. Speed has always been the commercial advantage in this business.
AI does not change that rule, it changes who gets to play by it.
The capability is
here. The work now is to close the gap between knowing and doing, and to do it
without taking the decision away from the people who were hired to make it.
Speed still wins in this business, as it always has. But speed was never the
prize. The real prize is the time back to do the work you were hired for: The
judgment, the strategy, the guest on Thursday.
Ernest takes away the
grind. Now you can do the job you were hired to do.
Learn more
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About the author...
Juanjo Rodriguez is chief
AI officer at
Lighthouse.