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.
Expedia Group's Explore 2026 partner conference revealed that AI is now embedded across traveler experiences and partner workflows, yet 70% of travelers still prefer trusted travel companies over AI chatbots for bookings.
Frank Trampert argues that the hospitality industry's AI ambitions are being held back not by a lack of technology, but by a data architecture problem it has largely refused to confront. Using the recurring archetype of a loyal guest who remains a stranger across ten properties of the same group, he makes the case that cross-property behavioral intelligence is the real prize — and that data discipline, not more tools, is what stands between the industry and it.
Hotels lead travel sectors in AI machine readability at 73%, but Ahrefs data across 730,000 AI responses shows YouTube mentions and earned web presence, not structured data, drive actual AI recommendations.
Daniel Doppler opens with a simple experiment — ask an AI to recommend a hotel in your city — and uses the almost universally disappointing results to make a pointed argument: most hotels are invisible to AI not because of anything the technology does wrong, but because their own data is too fragmented, inconsistent, and unstructured for a machine to trust. His four-step CUPS framework offers a practical starting point for fixing that before the window closes.
Max Starkov argues that the rise of AI platforms as travel discovery tools is reshaping hotel distribution faster than most properties are prepared to handle but that chasing AI visibility without fixing the fundamentals of guest retention is a strategic mistake. The hotels most at risk, he contends, are independents that have neither invested in the tech stack needed to feed AI systems nor built the first-party data infrastructure to keep guests coming back.
The author argues AI favors independent hotels over chains because value comes from operational clarity and data quality, not budget, shifting competition away from OTA bidding wars.
Kurt Weinsheimer draws on 25 years in online travel to argue that the shift to AI-powered discovery is categorically different from every platform change that came before it. When a search returns five options instead of fifty, being sixth is the same as being invisible — and most hotels have no idea how they appear, or whether they appear at all, on the shortlists AI systems are already building.
As automated pricing engines take over rate-setting, the revenue manager's core skill is shifting from making pricing decisions to interpreting, tracing, and defending rates across channels no single system can see whole.
Antonio Picozzi argues that the thirty-year paradigm of search-driven hospitality marketing is collapsing and that generative AI is replacing the logic of discoverability with an entirely different logic: one where being understood matters more than being ranked, and where a hotel's digital identity is only as strong as its least consistent data source.
Karen Stephens and Dylan Cole discuss how Google's Universal Commerce Protocol and AI-powered booking agents are reshaping hotel distribution, and what hoteliers must do to stay competitive.
The pre-stay booking funnel has fundamentally shifted, and most hotel tech stacks are nowhere near ready for it. Alessio Re maps the three-layer challenge hotels now face - getting cited by AI systems, owning accurate and structured data, and having a vendor stack capable of converting agent-driven discovery into actual bookings - and argues that treating this as an SEO problem with new vocabulary will not get the industry far enough, fast enough.
Outdated and conflicting hotel content across B2B distribution channels is becoming a credibility risk as AI search systems evaluate information from multiple sources to determine trustworthiness.
Grevon launched at HITEC 2026 with Kore, an MCP-based connectivity layer powering AI booking, voice, and staff intelligence tools to drive direct revenue and reduce OTA dependence.
Giuseppe Italiano examines the pre-stay journey through the lens of behavioral economics and philosophy, arguing that algorithms have become the primary architects of traveler choice — nudging, filtering, and framing decisions in ways most guests never consciously register. The danger, he contends, is not that machines are making choices for us, but that we are gradually losing the discernment to notice, or care.
Ian Millar argues that AI has already taken control of the pre-stay guest journey and that the hospitality industry's most urgent challenge is not technological adoption but the development of genuine AI literacy among its leaders. Rather than treating AI as an IT concern, Millar makes the case that understanding data, prompting systems, exercising critical judgment, and maintaining human oversight are now core leadership competencies. The hotels that will thrive are not those with the most automation, but those with the organizational discipline, shared accountability, and cultural mindset to teach machines well and know when to override them.
Revinate's Ivy is trained on 17 years of hospitality data and 1.1 billion guest profiles, currently powering chat resolution and call scoring, with planned expansion into automated guest communications.
Leonardo Caffo argues that AI and algorithmic image saturation have made pure aesthetic experience, the genuine "wow" of discovery, effectively impossible for the modern traveler. Yet rather than mourning that loss, he proposes a radical reorientation: the last virgin space of authentic experience is not the destination itself, but the friction between what AI leads us to expect and what reality actually delivers.
As AI assistants reshape how travelers discover and book hotels, properties must audit content for machine-readability and work with tech partners to expose inventory and offers to conversational search interfaces.
Marriott's AI-powered conversational search tool launches in beta on Marriott.com and its mobile apps, with a full global rollout to 283 million Bonvoy members planned later in 2025.
Zoltan Istvan challenges the hospitality industry to think beyond its most basic assumption: that its guests will remain human. From life extension drugs and brain implants to humanoid companions and autonomous AI entities, he maps a transhumanist future that renders current notions of the guest experience — and the guest itself — genuinely obsolete.