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Hotel Yearbook Article The Hotel Yearbook 2026 - Technology Edition

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.

Pablo Delgado
By Pablo Delgado, Managing Partner & CEO America, Mirai
Hotel Yearbook Article The Hotel Yearbook 2026 - Technology Edition

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.

Ira Vouk
By Ira Vouk, Hospitality Tech and AI Consultant, Hospitality 2.0 Consulting

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Hotel Yearbook Article The Hotel Yearbook 2026 - Technology Edition

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.

Are Morch
By Are Morch, Digital Transformation Coach for Hotels, Are Morch, Digital Transformation Coach
Hotel Yearbook Article The Hotel Yearbook 2026 - Technology Edition

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.

Neil Foster
By Neil Foster, Hospitality Technology Advisor, Techtonic Hospitality Services
Hotel Yearbook Article The Hotel Yearbook 2026 - Technology Edition

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.

Frank Trampert
By Frank Trampert, CRO, Revinate, Inc.
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Hotel Yearbook Article The Hotel Yearbook 2026 - Technology Edition

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.

Daniel C. Doppler
By Daniel C. Doppler, President, Quinta

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Hotel Yearbook Article The Hotel Yearbook 2026 - Technology Edition

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. 

Max Starkov
By Max Starkov, Hospitality & travel technologist and digital strategist, Hospitality Net
Hotel Yearbook Article The Hotel Yearbook 2026 - Technology Edition

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.

Kurt Weinsheimer
By Kurt Weinsheimer, President and GM Properties, Sojern
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Hotel Yearbook Article The Hotel Yearbook 2026 - Technology Edition

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.

Antonio Picozzi
By Antonio Picozzi, CEO & Founder, dAirect
Hotel Yearbook Article The Hotel Yearbook 2026 - Technology Edition

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.

Alessio Re
By Alessio Re, Co-founder, Elegia
Hotel Yearbook Article The Hotel Yearbook 2026 - Technology Edition

Choice Architecture in the Age of Algorithms

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.

Giuseppe F. Italiano
By Giuseppe F. Italiano, Deputy Rector of AI, Luiss University
Hotel Yearbook Article The Hotel Yearbook 2026 - Technology Edition

The Future of Hospitality Depends on Human AI Literacy

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.

Ian Millar
By Ian Millar, Senior Lecturer Hospitality Technology, EHL
Colin Kingsmill
By Colin Kingsmill
Expert Views (4)
Mark Fancourt
Mark Fancourt, Co-Founder & Principal Consultant, TRAVHOTECH

As the technologist in the room looking through the lens of the melding of industry workforce and the application of technology, I find this development curious for a number of reasons:AI Singling Out: It's interesting to see the specific technology of AI singled out.

Linchi Kwok
Linchi Kwok, Professor and Department Chair, CAL Poly Pomona

The recent court ruling highlights an important principle: AI adoption should not be a labor replacement solution. The more meaningful question is how AI can help employees work smarter, more efficiently, and ultimately more effectively.Hospitality has always been a people-centered industry.

Jayanti Jayanti
Jayanti Jayanti, Senior Lecturer in Hospitality Management, University of West London

Hospitality has never been just about systems, processes or efficiency. It has always been about people. The ruling highlights an important point: AI may change how we work, but it should not change what hospitality stands for.As an industry, we should not see AI only as a way to reduce labour costs.

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