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Today Monday, September 14, 2026
An illustration representing AI and data analysis in hospitality
technologyHospitalityNet··1 min·For: Owner, GM, Revenue, Ops, IT

Why Most Hotels Are Approaching AI Strategically Backwards

Many hotels fail with AI by treating it as a strategy rather than a tool; success requires identifying high-friction tasks and testing AI against specific KPIs.

Key Takeaways

  1. 1Focus on friction-heavy workflows such as repetitive reports or data consolidation rather than starting with AI technology first.
  2. 2Evaluate potential AI projects by calculating the cost in hours and euros to identify high-impact automation opportunities.
  3. 3Implement a 30-day measurable trial for a single workflow before scaling to ensure the technology delivers a tangible ROI on the P&L.

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Source: HospitalityNet

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