Based on HVS reviewing actual developers’ budgets, as well as preparing the annual HVS U.S. ... Reprinted from the Hotel Business Review with permission from www.HotelExecutive.com .
He earned his J.D. from the University of California, Berkeley School of Law, Order of the Coif, where he also served as editor of the California Law Review . ... He has litigated and prosecuted patents across a range of technical fields, including AI, machine learning, algorithms and software, optical and optoelectronic devices, computer networks and databases,
Regulatory Fines: New FTC rulings on fake reviews mean hotels can be held liable for AI-generated reputation efforts. ... It is now illegal to buy or share reviews generated by AI. This also applies to reviews from people who have not stayed at the property. The financial consequences are significant for any business.
Traditional SEO feeds AI overviews. AI overviews feed traveler decisions. ... Trend 5: MCP Turns AI Into an Operational Force Multiplier The industry has discussed AI for years. The shift happens when AI can act.
Smith describes the shift from managing what happens in one hotel to leading through goals, structured reviews, mentorship, and accountability across many properties. ... He discusses aligning incentives through performance-based fees and selective “sliver equity,” and he frames AI as the next major industry shift, with third-party operators best positioned to win by focusing
AI is not coming to hospitality. ... The real shift is not AI tools. It is an AI judgment.
And when someone asks an AI assistant "Where should I stay in Barcelona?", that AI isn't browsing hotel websites. It's pulling from structured data, review sites and OTAs. ... Not scraped from a review site. Not filtered through an OTA. The hotel controls what AI knows about it, and the booking stays direct. Regardless of what tools you use, the reality is the same.
The company reported more than 1 billion reviews and opinions across roughly 9 million listings and analyzed 31 million new reviews and opinions in 2024. ... (SCMP, 2025; Andover, 2025) AI Answer Engines Are the New Gatekeepers The discovery layer is shifting from search results to AI-generated answers across Google AI Overviews, ChatGPT, and Perplexity.
Here’s how hotels are using it: AI review analyzers (like Revinate) detect manipulative language or repeated fraud patterns Guest incident tracking systems log previous complaints to spot serial manipulators ... Influence Survey, 2023 The New York Times, “The Dark Side of Online Reviews”, 2024 Reprinted from the Hotel Business Review with permission from www.HotelExecutive.com .
The joys of AI! ... This includes the broader web, but specifically social media, reviews, third-party databases, etc.
Industry research reveals that 78% of hotels today now use AI for mobile check-ins, guest services, or chatbots, with 84% planning to expand AI-based communication within the next two years. ... Use AI for Threat Detection and Response: If the bad guys are using AI to advance threat tactics, then hotels can take advantage of the technology, too.
AI is exposing the weaknesses in ATS applicant ranking and selection. ... Artificial Intelligence (AI) Related to Talent Acquisition The impact of AI on the labor market is a controversial topic.
It is not a booking platform, review site, or pricing engine. ... Leaders who once reviewed raw data - guest commentary, operating reports, comp-set performance - now increasingly receive AI-curated summaries, benchmarks, and recommendations.
Analysts are projecting AI platforms could capture up to half of all travel‑search share by 2026. ... This shift has real implications for traditional review sites and search behavior, making it more important than ever for hotels to ensure their content is structured, accurate, and easy for AI tools to
Club Quarters showcases their Amenti AI platform while outlining how AI transforms hotel operations from booking through post-stay engagement. ... AI also optimizes how and when those conversations happen.
Ensure your Hotel’s Unique Story is Visible Everywhere Reality: AI-assisted discovery and faster decision-making is on the rise. ... (Source: SiteMinder) Action: Trust signals should go beyond ratings and reviews.
So, of course, everybody is talking about AI, AI. That’s the number one. I just got back from high tech here in the United States. And AI is the big buzzword. So how do you see that coming on? ... And towards this, it’s AI-to-AI commerce commerce, humans talking to bots, like I said, not bots pretending to be concierge, which is what we see, but actual AI agents negotiating with intelligence between
AIs would become the front-end UI. After all, most AIs don’t want to deal with cancellations and refunds. Google already proved that with hotel ads. AIs pull data from GDS instead. ... If GDSs review their business model and become API-first, they could leapfrog the OTAs. But they missed the internet revolution, can they catch the AI wave? AI becomes the new metasearch.
The study Blockchain-Driven Food Supply Chains: A Systematic Review for Unexplored Opportunities from the University of Otago examined the diverse applications of blockchain technology in the food supply ... It’s remarkable how it can be applied across the entire journey — from farming, where it helps reduce waste and water use while improving crop yields, to the kitchen, where AI-driven menu planning enables
Maestro's GuestXMS now uses AI to automatically route guest tickets to appropriate staff, replacing keyword-based triage with smart learning capabilities. ... What many hoteliers may not realize is that these tools incorporate third-party review signals behind the scenes and may directly influence which properties rise to the top when travelers ask AI to recommend