TCPG: Token Cost Per Guest
Pertlink proposes TCPG (Token Cost Per Guest) as a new hotel KPI measuring generative AI spend per guest served, drawing parallels to OTA commission and calling for USALI adoption.
Pertlink proposes TCPG (Token Cost Per Guest) as a new hotel KPI measuring generative AI spend per guest served, drawing parallels to OTA commission and calling for USALI adoption.
Cornell survey of 1,029 U.S. travelers finds AI ranks 4th in travel planning tools, with accuracy concerns cited by 60%+ as the top barrier, and adoption motivations varying sharply across Budget, Premium, Aspirational, and Luxury segments.
Google's commission-free Universal Cart is a placement play: by owning the AI surface where travel decisions are made, Google charges for consideration rather than transactions, shifting auction dynamics against hotels and OTAs alike.
A new h2c study finds 86% of European hotel chains use AI but 80% lack a formal strategy, with skills gaps and poor data infrastructure blocking meaningful outcomes.
Google's agentic booking partners include Booking.com and Expedia, suggesting agentic AI adds a new distribution layer above OTAs rather than bypassing them, shifting who owns the traveler relationship.
Pope Leo XIV's 42,300-word encyclical calls for government regulation of AI companies, worker retraining, and safeguards to keep humans in control of decisions involving weapons and children's online safety.
Revinate CMO Karen Stephens and Highgate VP of CRM Aaron Miller discuss how hotels can adopt AI for search, discovery, and personalization without sacrificing the human connection guests expect.
Google's Universal Commerce Protocol now lists hotel booking as a retail vertical alongside Nike and Walmart, raising structural questions about whether lodging's complex cancellation, pricing, and merchant-of-record rules can survive a retail-shaped commerce rail.
The author argues hotels don't have a data shortage but a signal interpretation problem, with GMs overwhelmed by metrics that lack the intelligence layer needed to drive daily decisions.
Part two of a series examining AI and robotics in hospitality through expert perspectives on workforce impact, job displacement concerns, and industry preparation for technological transformation.
An analysis of Pope Leo XIV's 2026 encyclical examines its moral framework around AI, labor, and human dignity, with specific implications for hospitality automation, workforce ethics, and guest data practices.
The guide provides eight essential questions hotel executives should ask AI vendors to avoid common pitfalls and ensure responsible implementation.
Cornell survey of 1,029 U.S. travelers finds AI adoption varies significantly by spending tier, with accuracy concerns cited by 60%+ as the top barrier across all segments.
HSMAI Foundation research finds hospitality students self-teach AI through experimentation but rate their academic programs' preparation at just 2.78 out of 5, signaling a readiness gap for employers.
PHAL launches in Singapore as an embedded advisory firm arguing that stalled hotel AI programs fail due to lack of operational execution, not software, offering 12-month retainer engagements.
Google's 2026 agentic search overhaul, built on Gemini 3.5 Flash and autonomous agents, threatens OTA dominance by routing high-intent travelers directly to brand.com via structured hotel data APIs.
The concept argues AI works best when it enhances human interactions invisibly, providing staff context without disrupting guest connections.
The author argues that fragmented, siloed hotel data undermines AI's effectiveness, and that structured institutional memory must come before AI deployment can deliver reliable guest experiences.