Drawing on Amadeus survey data from 500 hotel leaders globally and 100 in APAC, this viewpoint argues hotels must sequence data unification, AI integration, and human orchestration to turn 2026 cost and tech pressures into competitive advantage.
A HITEC 2026 recap identifies agentic governance, Agent Management Platforms, and Guest Success Management Systems as the defining trends, with AI shifting from point tools to enterprise-wide orchestrated workflows.
The author argues AI favors independent hotels over chains because value comes from operational clarity and data quality, not budget, shifting competition away from OTA bidding wars.
Terence Ronson argues that falling AI software costs are shifting competitive advantage in hospitality from technology procurement to organizational judgment, and introduces TCPG as a new metric for managing AI consumption costs.
Hospitality operators are legally liable for AI failures on their platforms, as Air Canada's chatbot ruling shows, making adversarial red-teaming a regulatory and operational necessity.
Pricepoint launches a fictional AI-generated micro-drama series where five hotel revenue managers compete on pricing in the same city, using storytelling to illustrate real commercial scenarios.
HITEC day three recap covers E20X startup pitches, candid booth conversations with Oracle, HotelKey, Revinate and Shiji, and a closed-door round table with hotel CIOs and senior supplier executives.
Behavioral shift toward AI-driven question-and-answer is already complete among consumers, leaving businesses across hospitality, accounting, and healthcare racing to replace dashboards with conversational tools.
A first-person recap of HITEC 2026's opening days finds consensus that AI will transform hospitality distribution and operations, but deep disagreement on costs, brand survival, and the role of human staff.
Ahead of HITEC, this opinion piece warns hoteliers not to repeat big tech's costly "tokenmaxxing" mistakes, urging outcome-based AI evaluation over vendor-driven consumption metrics.
HSMAI's AI Advisory Board outlines a three-pillar commercial framework covering AI-driven distribution, direct channel personalization, and unified data architecture for hospitality operators.
A practical guide for hoteliers on using a structured RFP and implementation checklist to compare RMS vendors objectively and avoid post-contract surprises.
Mews Senior PM Madeline Bushbeck argues that widespread AI adoption statistics mask a deeper problem: most hotels run generic, off-the-shelf AI tools that don't understand their specific operations.
The author argues AI won't replace core hotel systems but will transform the analytics layer, eliminate spreadsheet workarounds, and let hotels use AI agents to build custom workflows without waiting on vendors.
The author proposes Token Cost Per Guest (TCPG) as a standard metric for hospitality AI spend, drawing parallels with healthcare to argue that metered, per-unit AI cost tracking is essential across all industries.
The piece argues hotels deploy visible AI features without redesigning underlying operations, creating "AI Theatre" that impresses owners but fails to improve business metrics.
Two hospitality tech experts break down why PMS selection is now driven by API openness and integration ecosystems, with practical guidance for independents and multi-property operators.
The author introduces TCPG (Token Cost Per Guest) as a discipline for hotel operators to meter AI spending, arguing most deployments fail because costs are invisible inside bundled platform contracts.
TRAVHOTECH's HumAIn Framework proposes a four-layer AI architecture for hospitality, separating data infrastructure, software automation, physical robotics, and human strategic oversight.
Maestro PMS argues that connecting PMS and POS systems is now a strategic requirement for hotels shifting from room-centric metrics to Total Revenue Management and full guest value visibility.