This dedicated AI in Hospitality section explores how AI is reshaping the industry, from guest communication and marketing personalisation to revenue management, operations, staffing, cybersecurity, and the evolving role of data and automation across the hotel and travel ecosystem. It brings together practical use cases, expert insights, product and partnership news, leadership viewpoints, and real world lessons from properties and brands of all sizes, helping hospitality professionals separate substance from hype and make informed decisions about where AI delivers value today and what to prepare for next.
Only 6% of hotels appear consistently in AI-generated recommendations, with 82% of AI-cited content sourced from OTAs and editorial media, putting independent and unbranded hotels at severe visibility risk.
As AI assistants drive hotel discovery but not trust, the author argues hotel websites must shift from acquisition tools to verification tools, starting with transparent all-in pricing that matches OTA displays.
Research from SBS Swiss Business School and MIT suggests AI tool reliance is eroding critical thinking in junior sales reps, with the author proposing a "Protected Reps Framework" to preserve core selling skills.
A practical guide covering AI readiness essentials for hotels, including data governance, content accuracy, direct booking strategy, and the emerging role of Model Context Protocol in AI-powered search.
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.
A hospitality AI veteran argues that culture, not technology, determines AI success, offering five belief prerequisites hotels must audit before any platform rollout.
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.
Hotel marketers are falling behind OTAs in AI search fluency, risking direct bookings as AI assistants increasingly surface inaccurate or OTA-sourced property information.
Hotels loading rates into GDS have no visibility into how AI-powered corporate booking tools like Concur and Navan rewrite, merge, and rank their listings before a traveler ever sees them.
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.
Hilton launches AI Planner on Hilton.com and integrates with Google AI Mode, ChatGPT, and Claude to enable conversational trip planning, property search, and Honors Points redemption.
Google's AI Mode now lets US travelers book hotels and compare cash rates against loyalty points in one conversation, removing the friction that previously delayed award redemption decisions.
A strategic case for why hotels should prioritize open APIs, data accessibility, and AI-ready PMS flexibility over chasing today's best AI features.
OTA-provided guest emails, phone numbers, and virtual cards all expire within days or weeks, leaving hotels with no reachable guest list — and AI booking agents are set to repeat the same pattern.
Christopher Haydon, former President of SAP Procurement Solutions, takes the CEO role at BirchStreet as the hospitality procurement platform expands its AI capabilities.
An opinion from the Hotel Data Conference argues that hotels are adopting AI as a buzzword rather than a solution, confusing predictive, generative, and autonomous systems with no clear operational strategy.