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.
Pertlink's explainer introduces Token Cost Per Booking (TCPB) and Token Cost Per Guest (TCPG) as budget metrics, warning that AI costs accrue from the first search query, not just active guest interactions.
An opinion piece arguing that AI-native service companies will reshape hotel management by owning outcomes, pricing on margin rather than labor, and replacing headcount metrics with compute-loaded P&L lines by 2027.
Booking.com's AI answers pre-booking guest questions using listing data, photos, and reviews, meaning incomplete hotel listings can produce wrong or outdated answers before a reservation is made.
Argues that the real test of AI in hotels is not capability but performance under minimal staffing conditions.
HiJiffy's Email Copilot uses three sequential AI agents to draft hotel email replies, cutting response times from 5 days to 1 day at pilot property Oliva Nova.
Drawing on a McKinsey explainer, this piece introduces "token literacy" for hoteliers, explaining how AI billing works and why spend can nearly quadruple from pilot to portfolio rollout.
dailypoint's free 18-question AI Readiness Check helps hotels assess their data foundations, citing research showing only 13% of hotel chains achieve measurable ROI from AI despite 91% adoption.
HFTP's AI Collective will host a two-day conference on February 2-3, 2027 in Dallas covering AI governance, intellectual property, security risks, and practical adoption for hospitality leaders.
AI-powered travel agents carry a hidden token cost per booking that investors currently absorb, but hotels should expect that cost to migrate into commissions or fees as platforms seek sustainable economics.
Paathz founder Ayush Soota explains how the AI-powered hospitality hiring platform, which attracted 50,000 professionals in beta, replaces traditional CVs with structured profiles and hospitality-native matching.
OTA share of hotel bookings held flat in 2025 at ~30%, but Booking Holdings now collects guest payment on 73% of its sales, up from 25% in 2019, giving it growing control over room pricing.
A reflective post-event piece on Destination AI 2026, noting broad hotel industry readiness for AI but a persistent gap in practical implementation knowledge.
RoomPriceGenie's 2026 survey of 450 senior hoteliers finds AI pricing adoption at 53%, but trust remains low, with only 10% willing to let AI make most pricing decisions autonomously.
A detailed recap of Destination AI Summit 2026 in Washington D.C., covering key sessions on AI adoption, distribution visibility, frontline gaps, and insights from major hotel brands including Hilton, Hyatt, Marriott, and Wyndham.
Cloudbeds integrates with Meta's Muse AI agent to let hotels surface live rates and availability to AI-assisted travelers, routing bookings directly into the Cloudbeds PMS, rolling out in the US in Q1 2027.
Terence Ronson outlines a 2027 AI budgeting framework for hoteliers, covering usage-based cost tracking, workforce investment, rolling forecasts, and governance tools like Decision Envelopes and AI Override Rates.
Article examines whether the hotel industry is resisting or embracing AI agents, though no body content was provided for detailed analysis.
Six AI startups competed at the Destination AI Conference, spanning hotel underwriting, voice booking, F&B dietary matching, ops intelligence, and AI-native PMS, with Stayfull sweeping both awards.
A Barcelona study of 27,360 AI travel answers found independents are 8x more likely than chains to be invisible to AI, with hotel websites supplying only 7% of what AI says about properties.
A year-over-year comparison across IHG, Hilton, Marriott, Hyatt, Wyndham and Choice shows brands have shifted from AI experimentation to scaled deployment in search, booking, and revenue management.