The author argues that fragmented, siloed hotel data undermines AI's effectiveness, and that structured institutional memory must come before AI deployment can deliver reliable guest experiences.
Meta's approach to capturing employee workflows as AI training data could transform hotel operations by preserving tribal knowledge and expertise, but raises significant trust and governance concerns.
Long-tenured staff accumulate invaluable guest insights, but hotel structures fail to capture this intelligence for operational decisions.