RateGain, NYU and HEDNA Report Highlights AI ROI Deficit
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The gap between high AI adoption and low operational impact shows that buying isolated AI tools cannot overcome fragmented data architecture. Most hotel commercial teams remain trapped manually stitching reports together because underlying PMS, RMS and CRM databases don't communicate cleanly; adding generative AI on t…
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- Hospitality TechnologyRateGain, NYU and HEDNA Report Highlights AI ROI Deficit
RateGain, the NYU SPS Tisch Center of Hospitality and HEDNA released The State of Distribution 2026 report, analyzing operational and commercial tech data across 270 hotel brands and 58,000+ properties to evaluate AI adoption, reporting efficiency and distribution performance. Findings: over 50% of hotels have adopted or are procuring generative AI tools, but under 10% report a >30% reduction in manual labor; over 80% of commercial teams spend 1–2 days weekly manually compiling reports across siloed systems, while fewer than 30% have invested in dedicated business intelligence software; and 55% of hotels have made minimal or no updates to distribution strategies for AI-driven zero-click dis…