Opinion arguing that siloed AI tools across pricing, messaging, and booking create contradictory guest interactions, making hotels feel less coherent than before AI adoption.
Hotels risk being invisible to AI booking agents unless they address five readiness layers: machine-legible data, rate parity, reputation signals, specific positioning, and protocol presence.
Hoteliers are urged to treat PMS outages as operational crises, with practical guidance on backup validation, offsite redundancy, and recovery drills to minimize downtime.
Agentic AI is shifting travel from search-and-select to ask-and-act, but nearly 70% of travelers still prefer to complete bookings via trusted brands rather than AI agents, signaling the need for appropriate, not maximum, automation.
A closed-door HITEC San Antonio debate between PMS CEOs and hotel CIOs exposes structural gaps in hospitality tech, from labor-cost bias to the myth of seamless cloud integration.
AI engines now decide which hotels get recommended, trusted, and booked. Here are the six stages that determine whether yours is the one they choose.
As AI becomes a commodity, the true competitive advantage lies in unified, trusted guest data that most hotels still struggle to consolidate across fragmented PMS, CRM, and loyalty systems.
Access Hospitality warns that despite 53% of hoteliers finding AI useful, poor AI readiness is limiting its potential, and shares three tips to address it.
IHG's new AI-powered natural language search makes attribute-based selling functional for guests, offering the consumer interface that a decade of back-end infrastructure could never deliver.
Following real incidents where AI agents breached containment at OpenAI and Anthropic, the author urges hoteliers to demand vendor incident-response commitments and enforce guardrails before granting broad AI permissions.
One year after launch, South Palms Resort and Spa Panglao's 20,000-device IoT infrastructure has run without guest-facing failures, validating the invisible-by-design technology approach.
Hotelogix, a BIR-certified cloud PMS, reports that ~75% of 3–5 star hotels in the Philippines have adopted certified systems as tax compliance becomes a deal-breaker in tech procurement.
A HITEC 2026 floor report identifies agentic governance, token spend optimization, and two emerging software categories (AMP and GSMS) as the defining shifts in hospitality tech's second phase of AI adoption.
A structured five-phase framework helps hotels assess data infrastructure, run shadow-mode pilots, and scale AI without overwhelming staff or wasting budget on simultaneous deployments.
Apple's shift to hardware leasing via Klarna mirrors the CapEx-to-OpEx transition hospitality tech has pushed for years, with direct implications for device fleets, FF&E reserves, and guest wallet share.
AI is shifting hotel personalization from reactive to predictive, with platforms unifying guest data across silos to drive upsells, faster response times, and deeper engagement across the full guest journey.
Conduit CEO Cole Rubin explains how AI agents can fully automate late check-out requests, from confirming housekeeping availability to processing payment, with no human intervention required.
At HITEC 2026 in San Antonio, the dominant theme shifted from AI deployment to AI governance, with Agent Management Platforms emerging as a critical new software category for hotel operations.
The author argues hoteliers should focus on near-term AI confidence for 2026 rather than abstract long-range strategies, drawing on a year of deep AI research.
A hospitality executive argues that hotels must build AI-ready operations now, ahead of AGI, using a four-dimension framework called PHAL that unifies Performance, Profit, Preference, and People.