The Philippines' DICT launched AI assistant "Kuya A" inside the eGovPH Superapp for 40-60M users, already answering tourism queries with no connection to DOT's data or accreditation registry.
A strategic opinion piece arguing that AI's real value for hotels lies in surfacing hidden demand signals across the guest journey, not just automating tasks, with readiness assessed across leadership, data, team skills, and governance.
Fliggy's open-source "flyai" travel skill is now live in Huawei, Xiaomi, OPPO and Honor native skill stores, enabling AI-driven bookings without a user ever opening the Fliggy app, just as Chinese AI orders surged 800% during Spring Festival.
A practical explainer on ontology as an AI concept for hotels: structuring rooms, staff, tasks, and SOPs into a connected data layer that enables meaningful operational optimization.
An educational piece exploring how generative AI can transform the hotel daily operations meeting from a status broadcast into a pattern-spotting, decision-driving tool across all departments.
Six operational red flags, including front desk bottlenecks, manual workarounds, and reactive guest service, that signal an independent Caribbean hotel's PMS can no longer support its operation.
The "AI handles logistics, humans handle feeling" narrative in hospitality lacks governance teeth: audit trails, decision envelopes, and board-level oversight of AI agents are the missing layer.
Conversational AI is poised to disrupt OTA dominance by enabling natural-language hotel search, but current ARI-based distribution infrastructure lacks the data granularity needed to deliver meaningful results.
hivr.ai CEO Felix Undeutsch breaks down what "AI-enabled" actually means for hotel venue sales teams, separating hype from practical application.
A hospitality-focused breakdown of Anthropic's August 2026 Risk Report flags four findings relevant to operators: agentic task drift, faster vendor release cycles, prompt injection risks, and data retention requirements on frontier AI models.
AI assistants are billed per web search, capped by developers, making hotel queries expensive and favoring already-known chains and OTAs over independent properties.
Mews analyzed 6,000+ hotels using causal inference and found that enabling its RMS Autopilot feature for 9+ months drove a 13% lift in revenue per square meter over 18 months.
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%.