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AI Assistants Rewire Hotel Discovery as 37% of Travelers Already Use Them, NYUBCG Report Finds

A new NYU SPSBCG analysis says hotels must rebuild data foundations to stay visible to AI assistants.

Overview

  • Discovery is shifting from search-and-scroll to ask-and-book, pushing hotels to compete for inclusion on AI-generated shortlists built from consistent, machine-readable content.
  • Distribution economics are evolving beyond traditional OTA commissions of 15%–30% as prominence is priced on algorithmic relevance, with observers citing Google’s new Universal Commerce Protocol as a potential catalyst.
  • Operational strain remains acute in North America, where 65% of hotels reported staffing shortages in 2025 and labor costs rose 11.2% year over year.
  • Early AI pilots report measurable gains, including roughly 20% faster room cleaning through AI-synchronized scheduling and about 50% food waste reduction within eight months from kitchen analytics.
  • Scaling AI depends on tighter system integration and skills, as nearly half of hoteliers struggle to access critical information and only 2.9% of travel-and-tourism employees have AI capabilities.