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.
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.
Inn-Flow's new integration connects its Accounting and Procurement modules, giving hotel teams real-time budget, forecast, and open PO data within the purchasing workflow alongside AI-driven guidance.
Only 7% of teams use GenAI in meetings despite 49% individual daily use, and the article maps two citable HBR book case studies directly onto hotel leadership and strategy session formats.
The third edition of the State of Distribution report, based on 270+ hotel brands and 58,000+ properties, finds AI adoption widespread but transformational impact rare, with OTAs still dominating over direct channels.
AI systems on Booking.com, Google, and Tripadvisor now use guest reviews to answer queries and drive bookings, making specific, detailed reviews more valuable than star ratings.
AIHA and HotelLogic audited 343 PMS vendors globally, finding only 7% publish fully public API documentation, with 18 platforms scored across 10 dimensions including AI readiness and developer experience.
CHTA's third AI Guidebook edition focuses on workforce implications, offering Caribbean hospitality leaders templates, road maps, and tools to integrate AI responsibly into people management and operations.
AAHOA, Folio, and Avendra International have launched the AAHOA Marketplace, a free mobile-optimized procurement platform offering members AI-powered purchasing, a unified catalog, and access to negotiated supplier savings.
An industry keynote speaker argues that as AI automates routine hospitality tasks, the human capacity for empathy, judgement, and connection becomes more valuable, not less, and offers a practical leadership framework to balance both.
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.
I see AI as a tool, not a strategy in itself. Today, its greatest value for us is business intelligence: helping our teams analyze information faster, identify patterns, challenge assumptions and give owners better insight into performance.
Chris Nassetta was right to call this AI’s “early days.” However, we are seeing consistent evidence that shows great promise for owners and operators.First, AI improves data consolidation and presentation. For decades, we have been trying to organize and bring data into clear, actionable reports.
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.