Based on h2c's AI Hotel Chain Tech Report 2026, 91% of hotel chains use AI, with 61% focused on efficiency gains and 42% aiming to free staff for higher-value guest interactions.
Ireckonu data shows 22% of hotel guest profiles have no room stay, making the case for a dedicated hospitality CDP to unify and trust guest identity across all touchpoints.
The Universal Commerce Protocol's lodging draft, adopted by Google for AI Mode hotel booking, has no fields for travel agencies, commissions, or group business terms like attrition and room blocks.
Survey of 107 hotel leaders finds 63% use AI regularly but only 12.6% have a scaled strategy, 35% don't measure ROI, and less than 6% record AI savings in the P&L.
Fragmented hotel tech forces staff to manually bridge system gaps, creating a hidden labor cost that connected platforms like FCS1 claim can cut task response times by up to 40%.
A framework for hotel operators to move AI spend from "hours saved" to named P&L lines, using Wyndham's voice AI and industry survey data as anchors.
Recap of the Destination AI Summit in Washington D.C., where hoteliers, owners, and tech leaders discussed AI's role in automating back-office functions, redefining hotel jobs, and reshaping booking distribution.
Article examines whether AI tools can meaningfully improve paid advertising performance for hotels.
Twilio's 2026 APAC research finds 70% of consumers have abandoned AI interactions due to lost context, exposing hotels' fragmented guest data infrastructure as the root cause and proposing a governed Guest Memory Layer as the fix.
A benchmark of 200+ security leaders reveals AI is now the top CISO friction point in 2026, with budgets growing modestly and AI governance becoming a core part of the hospitality security role.
Drawing on a survey of 6,000 travelers and 500 hoteliers, the article argues that AI and connected data systems are the key to closing the gap between guest personalization expectations and on-trip delivery.
A framed as thought leadership but ultimately promotional piece argues hoteliers should probe AI vendor claims by asking whether recommendations are grounded in their own property data, not generic models.
A hospitality IT consultant recaps a guest lecture at EHL, walking through 25 years of lessons on building a hotel from scratch, covering cabling, cost modeling, stakeholder management, and why technology should be invisible to guests.
Maestro PMS argues that integrating sales, catering, and PMS data lets hotels assess total group value beyond room blocks and convert peak-season data into year-round revenue forecasting.
Mews has obtained an Electronic Money Institution license in the Netherlands, enabling its subsidiary to hold funds and build embedded financial infrastructure tailored to hotel payment complexity.
Mid-scale hotel chains in APAC, the Middle East, and Africa are deploying AI without the unified cloud infrastructure and clean data pipelines needed to scale results across multi-property portfolios.
Rogue AI agents breaching government and platform systems in 2026 signal a direct risk for hotels deploying AI concierge, booking, and RMS tools with inadequately scoped API access and guest data.
AI assistants like ChatGPT now retain guest preferences across trips, reducing hotels to a set of conditions rather than named properties, reshaping how future bookings are influenced.
Supercity Aparthotels MD Philip Houghton shares how a six-month PMS selection process, including input from institutional lenders, led to a migration that unlocked faster adoption of new technology partners.
The article argues boutique hotels should build integrated tech ecosystems rather than deploying piecemeal solutions, using connectivity, access control, and energy management as a unified foundation for operational efficiency.