A framework for GMs to decide when AI should act autonomously, recommend, or defer to a human, using reversibility, cost of mistakes, and data readiness as the key criteria.
Drawing on a McKinsey explainer, this piece introduces "token literacy" for hoteliers, explaining how AI billing works and why spend can nearly quadruple from pilot to portfolio rollout.
The author maps 40 AI trip planning products across four categories and questions whether AI will transform travel booking or simply replicate the transactional convenience of OTAs.
Hoteza argues that hotel guest Wi-Fi is the critical foundation of all digital guest touchpoints, sharing scale metrics and two recurring failure patterns across its 52,000+ concurrent session network.
AI-powered travel agents carry a hidden token cost per booking that investors currently absorb, but hotels should expect that cost to migrate into commissions or fees as platforms seek sustainable economics.
A reflective post-event piece on Destination AI 2026, noting broad hotel industry readiness for AI but a persistent gap in practical implementation knowledge.
A detailed recap of Destination AI Summit 2026 in Washington D.C., covering key sessions on AI adoption, distribution visibility, frontline gaps, and insights from major hotel brands including Hilton, Hyatt, Marriott, and Wyndham.
Article examines whether the hotel industry is resisting or embracing AI agents, though no body content was provided for detailed analysis.
Six AI startups competed at the Destination AI Conference, spanning hotel underwriting, voice booking, F&B dietary matching, ops intelligence, and AI-native PMS, with Stayfull sweeping both awards.
A year-over-year comparison across IHG, Hilton, Marriott, Hyatt, Wyndham and Choice shows brands have shifted from AI experimentation to scaled deployment in search, booking, and revenue management.
Independent live tests using Claude and ChatGPT found that Marriott, IHG, Accor and Choice allow AI agents to reach checkout, while Hyatt, Hilton and Wyndham show inconsistent results depending on the agent and route.
Key takeaways from Destination AI 2026 in Washington D.C., where 500 hospitality leaders signaled a shift from AI experimentation to live operational deployment across hotel distribution.
Gilad Berenstein, founder of Utrip and investor at Brook Bay Capital, outlines practical AI use cases for hoteliers, from daily habit-building to agentic concierge systems and AI-led guest discovery.
Siloed security systems create blind spots and waste 78 minutes per manager per shift; the fix is integrated operations that connect access, video, occupancy, and network data to enable proactive response.
Cactus Cove Inn owner Matt Marrs shares how migrating to Mews PMS helped scale a mixed portfolio of hotels, STRs and RV parks while enabling creative, family-focused guest experiences.
Marriott's nine-year Alibaba partnership gave it exclusive AI agent commands on Fliggy, letting agents book rooms and F&B packages, while rival chains and independents remain limited to a basic five-field room search.
The author questions whether agentic AI in travel is ready for real-world disruptions, arguing that booking trips is the easy test and true accountability comes when things go wrong.
The article argues that robotics and automation have become standard hotel infrastructure by 2026, shifting human labor toward high-touch guest experience roles that technology cannot replicate.
A former hotelier turned Mews employee shares hard-won advice on PMS procurement: start with operational pain points, involve all staff, and use the switch as a chance to rethink workflows.
Based on h2c's AI Hotel Chain Tech Report 2026, 91% of hotel chains use AI, with 61% focused on efficiency gains and 42% aiming to free staff for higher-value guest interactions.