AI in Hospitality

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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.

When AI Becomes the Travel Agent

Pablo Delgado argues that AI assistants are not simply adding another channel to hotel distribution — they are compressing the entire travel funnel into a single conversation, potentially owning discovery, consideration, and transaction in one pass. The hotels that wait for certainty before adapting, he warns, risk repeating the same mistake they made when OTAs arrived.

Do You Think You’re Ready for A2A Commerce?

Ira Vouk challenges the industry's comfortable assumption that agentic AI is still a distant, chatbot-adjacent phenomenon. The real disruption, she argues, is not travelers talking to AI assistants, it is machines negotiating directly with machines, and a hospitality infrastructure built entirely around human browsing behavior that is nowhere near ready for it.

The Signal Was Always There. We Just Had No Way to Capture It.

Drawing on a career that moved from reservation phones to housekeeping supervision to manager on duty, Are Morch argues that the real pre-stay challenge has never been technological — it has always been a signal problem. The guest intent is there, the data exists across departments, but without a system to capture and connect it, every interaction starts from scratch and the intelligence is lost.

Synthetic Persuasion: AI and the Evolution of Marketing

Neil Foster maps the collision between hospitality's two tectonic forces — human connection and operational optimization — and argues that AI has become the primary mechanism through which synthetic persuasion now operates: shaping discovery, engineering desire, and guiding decisions through systems so seamlessly embedded that they no longer feel like persuasion at all. The critical question he leaves open is whether that same technology can amplify genuine care rather than replace it.

Data Isolation Is AI's Biggest Obstacle in Hospitality

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.

Poor Hotel Data Is Killing Direct Bookings. C.U.P.S. Can Fix It

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.

The Distribution Layer in the AI-First Era

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 Invisible Shortlist

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.

The Death of Blue Links: Hospitality Marketing After Search

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.

From Search to Synthesis: Visibility in an Answer-Based Internet

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.