AI in Hospitality

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Afterword: Loving the Alien. Hospitality at the Edge of the Human Era

There is a tendency, whenever a new technology emerges, to describe it using the language of those that came before it. The automobile was initially called a horseless carriage, early cinema was dismissed as photographed theatre, and the internet was variously described as a global library, a digital encyclopedia, an electronic newspaper, or, in one now-famous 1995 Bill Gates television appearance, something that even David Letterman struggled to distinguish from a particularly sophisticated radio.

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The Remains of the Stay: Memory, Identity, and the Afterlife of the Guest

Edmondo Grassi approaches the post-stay phase as a sociologist rather than a technologist, and the perspective is unsettling. When a guest checks out, he argues, their stay does not end — it migrates into a data infrastructure that remembers with absolute precision what the guest themselves only vaguely recalls, raising a question the industry rarely asks: who has the right to hold that memory, and on whose behalf?

The Ethics of the Traveler: Responsibility in an Intelligent Ecosystem

Jonathan MacDonald reframes the post-stay phase (typically dismissed as administrative afterthought) as the moment where the ethical stakes of AI-mediated travel become most visible. Once a guest checks out, their experience dissolves into data, and the central question becomes not what they remember, but who owns the narrative, and on what terms.

Panem, Circenses, and Prompt Engineering: What Ancient Rome Already Knew About AI

Andrzej Wajda traces the AI revolution back to Antiquity, arguing that what we call automation today is structurally indistinguishable from what ancient Romans achieved through slavery — and that Aristotle essentially predicted it. The real lesson for hospitality, he contends, is not technological but perennial: if you cannot manage people and operations well today, no tool, ancient or artificial, will save you.

Beyond Bias: AI and the Reconstruction of Perception

Rita Jusztina Varga raises an uncomfortable question the industry is only beginning to grapple with: when AI summarizes guest reviews at scale, whose experience actually gets represented? Drawing on her own decade-old stay as a case study, she argues that AI bias in review aggregation systematically amplifies certain voices while quietly erasing others — and that the hospitality industry urgently needs to rethink how it collects, segments, and trusts feedback data.

How Brand Identity Evolves in an AI World

Martin Soler argues that AI does not threaten brand identity by making bad content — it threatens it by making an overwhelming volume of acceptable content, which over time erodes the distinctiveness that makes a brand worth remembering. In a world of infinite iteration, he contends, consistency and taste become scarcer and therefore more valuable, not less.