Using Cathay Pacific's Google AI contrail-avoidance trial as a framework, this piece argues hotels must define decision envelopes, run shadow-mode pilots, and track AI override rates before granting operational autonomy.
Drawing on Google Cloud research of 2,400+ executives, the author argues hotels are deploying AI at the edges rather than embedding it in core value-creating processes, limiting returns.
A hospitality veteran draws a direct parallel between the rise of revenue management and today's agentic AI, arguing early adopters will define the industry's next commercial era.
The author argues that hotel AI's real value is bridging the 30-year gap between revenue management analytics and frontline operations through real-time translation, not better dashboards.
With nearly half of guests preferring smartphone checkout and kiosk check-in linked to 20-point satisfaction gains, the article makes the case for PMS integration as the foundation of a modern arrival experience.
OYO parent Prism's GM Agent promises fully autonomous hotel operations, but raises unresolved questions on guest data use, Aadhaar privacy, and accountability as the company pursues a Rs 6,650 crore IPO.
A Mews podcast episode featuring Bookboost, Revinate, and Quinta explores how hotels can centralize fragmented guest data to drive direct bookings, personalization, and AI-powered automation.
SMARTLINEN's Ask Debbie AI assistant queries live RFID inventory data across 130M+ monthly scans to answer housekeeping queries, with verified circulation data cutting rewashes and extending textile life by 30–40%.
The article argues that AI agents negotiating machine-to-machine bookings will bypass OTAs entirely, and outlines steps hoteliers must take now to prepare their tech infrastructure.
The author argues hotel tech vendors should attend investment conferences like IHIF to understand what drives CEOs and institutional owners, shifting focus from incremental software upgrades to anticipating where entirely new travel demand is emerging.
A McKinsey 2025 Technology Trends Outlook analysis filtered for hospitality, arguing that agentic AI is reshaping the guest booking layer and that governance, not model capability, is now the key constraint on adoption.
A hotel advisory framework arguing AI delivers revenue gains only when deployed across three sequential phases: readiness, implementation, and operations, not as a standalone cost-cutting tool.
Hotels ranking well on Google may be invisible to AI assistants like ChatGPT, which prioritize clear, structured, consistent, and current content over backlinks and keyword signals.
As AI commoditizes coding capacity, the competitive edge in software outsourcing shifts to domain expertise and legacy system knowledge, with travel tech cited as a prime example.
GuestCentric's AI assistant Melissa shows 56% of engaged hotel website visitors have high booking intent, yet a 2% average conversion rate persists due to unanswered questions and checkout friction.
Vietnam's "1+1+34+N" tourism data governance model is held up as a template for the Philippine DOT, arguing that a data ownership framework must precede any AI or chatbot deployment.
The author argues that AI does not inherently undermine authentic hospitality; what matters is the intent behind its use and whether it empowers employees to respond more thoughtfully to individual guests.
A LodgIQ executive argues that over 50% of AI pricing recommendations are overridden industry-wide because hotels skip the trust-building stages needed before full automation, not because the technology fails.
Digital guest directories, accessible via QR code without an app, reduce front desk load, enable real-time promotions, and drive ancillary revenue across dining, spa, and local experiences.
Maestro PMS argues that multi-property hotel groups should standardize data, reporting, and controls at the portfolio level while preserving property-level flexibility for workflows and guest experience.