The author argues hoteliers should focus on near-term AI confidence for 2026 rather than abstract long-range strategies, drawing on a year of deep AI research.
The AI Hospitality Alliance and HEDNA launch an open, crowdsourced catalogue of real-world hospitality AI use cases, inviting all industry professionals to contribute in 60 seconds.
Drawing on Horst Schulze's service philosophy at Ritz-Carlton and Capella, the piece argues hotels abandon AI too early by measuring the wrong outcomes on the wrong timeline.
Hospitality Daily and Destination AI launch a live survey to benchmark real AI usage across hotel organizations, covering investment priorities, measurable outcomes, and frontline employee sentiment.
Mews Senior PM Madeline Bushbeck argues that widespread AI adoption statistics mask a deeper problem: most hotels run generic, off-the-shelf AI tools that don't understand their specific operations.
The piece argues hotels deploy visible AI features without redesigning underlying operations, creating "AI Theatre" that impresses owners but fails to improve business metrics.
h2c's global AI benchmarking study is open for hotel groups to participate via interview or survey, with a deadline extended to 14 July 2026.
The piece argues that hospitality's AI challenge is not access but leadership and literacy, outlining which roles will change and how workers at all career stages should prepare.
A Hotelios Consulting perspective arguing hoteliers should treat AI as an operational team member, citing tools like Access Evo and Happy Hotel as examples of automated pricing and revenue optimisation in practice.
Cornell survey of 1,029 U.S. travelers finds AI adoption varies significantly by spending tier, with accuracy concerns cited by 60%+ as the top barrier across all segments.
PHAL launches in Singapore as an embedded advisory firm arguing that stalled hotel AI programs fail due to lack of operational execution, not software, offering 12-month retainer engagements.
A five-step framework urging hoteliers to identify high-friction, measurable workflows before selecting AI tools, rather than deploying technology in search of a problem.
Mews survey of 500+ global properties finds AI now involved in 11 of 19 common hotel tasks, yet 59% of hoteliers want check-in to remain human-led.
Key insights from hospitality AI experts emphasize solving business problems first, establishing data governance, and creating experimentation time for teams.