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AI in Hotels
What the term means, where AI enters hotel operating decisions, what current evidence supports, and what remains unknown.
Explore AI in hotelsAI in Hotels • Operations • Decision Science
How should hotels divide decision authority between managers and AI?
Hotel Decision Lab is a research-informed publication on AI in hotels, focused on how hotel managers and intelligent systems should share decision authority in operations. The current research program examines AI-supported labor decisions, managerial judgment, calibrated reliance, and human oversight.
Current research question
How should decision authority be divided between hotel managers and intelligent systems?
The current application is AI-supported hotel labor decision-making. The recommendation instance remains the primary unit of analysis, but authority should be designed before a live recommendation appears.
Start here
A research gateway, an agenda, and the flagship argument.
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Research Agenda
The canonical question, evidence position, decision architecture, research boundaries, and five priority questions.
Read the research agenda03
Manager Overrides
Why a human approval step should not be assumed to make an AI-supported hotel labor decision safer or more accurate.
Read the flagship articleResearch focus
The decision layer of AI in hotel operations.
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Comparative capability
How a system and available human alternatives perform for the relevant decision class and operating regime.
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Human contribution
When manager knowledge adds distinct information or catches consequential errors, and when judgment adds noise or bias.
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Decision rights
How authority, modification bounds, pause triggers, escalation, monitoring, feedback, and accountability should be assigned.
Latest article
Research-informed thinking for hotel operators.
Published August 6, 2026 • Research-informed conceptual essay
When Hotel Managers Override the Algorithm
Human review is not automatically a safety feature. Hotel Decision Lab proposes that review is more likely to add value when the manager contributes information the system lacks, can detect consequential errors, and has real authority and time to intervene. These conditions remain unvalidated in hotel labor operations.
Read the articleFounder and author
Drew Potter
Drew Potter has a background in hotel operations and hospitality technology and is completing an MBA focused on business analytics and digital marketing.
Professional experience helps identify meaningful operating questions and interpret practical implications. It is not presented as empirical research evidence.