This dedicated AI in Hospitality section explores how AI is reshaping the industry, from guest communication and marketing personalisation to revenue management, operations, staffing, cybersecurity, and the evolving role of data and automation across the hotel and travel ecosystem. It brings together practical use cases, expert insights, product and partnership news, leadership viewpoints, and real world lessons from properties and brands of all sizes, helping hospitality professionals separate substance from hype and make informed decisions about where AI delivers value today and what to prepare for next.
The hotel robotics market, valued at $0.76B in 2026, is expanding rapidly as labor costs hit 33% of revenue and turnover stays 76% above pre-pandemic levels, driving adoption of delivery, housekeeping, and concierge robots.
We didn't go to HITEC 2026 for the demos. We went for the conversations. We sat down with exhibitors right there on the show floor. No script, no prepared questions, just one starting point: tell us what you do, in plain language. This is where it went with Brett Kohn, Chief Marketing Officer at Lighthouse.
Sean Anderson makes the unglamorous but financially compelling case that post-stay commission reconciliation is one of the most overlooked revenue levers in hospitality. Using the example of a 400-property European group quietly overpaying up to $40,000 a month simply because no one was checking, he argues that the post-stay funnel deserves the same operational discipline as guest acquisition — because the money is already earned, and much of it is silently leaking away.
A Pertlink white paper translates eight AI engineering signals from MIT Technology Review into property-level implications, with a 12-month readiness roadmap for hoteliers navigating chip costs, agent orchestration, open-source models, and AI-enabled fraud.
The author argues that AI citation share, not just AI query costs, is the next major distribution battleground, with data showing visibility concentrating among a small group of hotel brands across AI platforms.
Stanislav Ivanov reframes the automation debate by shifting the unit of analysis from jobs to tasks — and in doing so, arrives at conclusions that challenge common assumptions. Physical tasks, he argues, are often harder to automate than cognitive ones, which means low-paid housekeepers may be safer from replacement than high-paid marketing managers, and the future of hospitality labour is not fewer people but differently assembled teams of humans and machines.
An explainer on how AI co-pilots, dynamic housekeeping routing, and IoT-based predictive maintenance can shift hotel operations from reactive firefighting to proactive service delivery.
ChatGPT's top hotel recommendation changes 45% of the time when the same question is asked twice, with only 60% of named hotels reappearing, challenging how hotels approach AI visibility strategy.
We didn't go to HITEC 2026 for the demos. We went for the conversations. We sat down with exhibitors right there on the show floor. No script, no prepared questions, just one starting point: tell us what you do, in plain language. This is where it went with Jerimi Ford, Chief Innovation Officer at Actabl, and Rob Bahl, SVP AI Asset Management at Actabl, who'd recently joined the tech company from Marriott.
Jamie Lane of AirDNA joins an STR Global Unlocked podcast episode to explore how AI-driven economic shifts, including job displacement and income redistribution, could reshape who travels, how often, and where.
Mark Fancourt delivers a blunt, experience-backed argument against the industry's growing temptation to hollow out technology leadership in the name of AI efficiency. With 37 years in hospitality and 13 as a CIO, he makes the case that adding AI on top of fragmented, underfunded, and poorly governed tech stacks does not simplify anything — it compounds the chaos, and removing the people who understand the system is precisely the wrong response.
Navan becomes the first TMC to integrate directly with Hilton's Central Reservation System via Booking and Content APIs, enabling real-time rates, rich property content, and streamlined virtual payments for corporate customers.
A strategic white paper arguing that rising labor costs will split the hotel industry into automation-enabled winners and legacy properties forced to convert to short-term rentals, with Europe leading adoption.
Davide Bernasconi reframes the AI conversation in hospitality around a problem the industry rarely names directly: operational hypercomplexity. As hotels become more digitally interconnected, the cognitive load placed on staff has quietly become unsustainable — and the most important thing AI can do is not replace people, but give them their cognitive bandwidth back.
Lighthouse outlines how its AI platform moves beyond descriptive dashboards to prescriptive guidance, with Ernest and Revenue Agent turning real-time data into executable commercial decisions.
Adam Mogelonsky makes the case that the longevity revolution is no longer a luxury niche but a structural shift in guest expectations and that the most overlooked opportunity lies not in spas or fitness centers, but in the guestroom itself. For time-poor travelers who rarely make it to hotel amenities, the room is the only wellness touchpoint that reaches everyone.
James Watson argues that AI's most promising role in hospitality design is not to generate atmospheres autonomously, but to give human designers the precision and responsiveness needed to make spaces that genuinely breathe — adapting in real time to occupancy, mood, and moment. The risk, he warns, is not that AI replaces designers, but that without strong human vision guiding it, it flattens the industry into an algorithmically pleasant, characterless sameness.
A panel discussion with four industry executives on where hotel robotics is generating real ROI, barriers to wider adoption, workforce implications, and what lies ahead.
Drawing on Horst Schulze's service philosophy at Ritz-Carlton and Capella, the piece argues hotels abandon AI too early by measuring the wrong outcomes on the wrong timeline.
Major hotel loyalty programs, with hundreds of millions of members, may become the critical data asset that AI booking agents depend on, giving chains structural leverage in the agentic travel era.