Dutch hotels face a tough 2025 as ADR falls, operating costs rise to 68%, and a VAT hike from 6% to 21% cuts demand, with 43.6% of hoteliers planning to reduce investment.
An advisory perspective on why Latin American hotel developers frequently misread investor expectations, covering capital structure, pre-opening budgets, brand agreements, and risk transparency.
A leadership philosophy essay arguing that sustainable success in business, community, and life depends on consistently creating more value than one receives.
A hospitality-focused breakdown of Anthropic's August 2026 Risk Report flags four findings relevant to operators: agentic task drift, faster vendor release cycles, prompt injection risks, and data retention requirements on frontier AI models.
Despite RevPAR growth in H1 2026, hotel profitability remains under pressure as labor, distribution, and operating costs rise faster than revenue, forcing operators to rethink channel mix, productivity, and cost structure.
Research on the Swiss Beer Awards and World's 50 Best Restaurants shows how award recognition travels beyond individual winners to shape partner businesses, industries, destinations, and future standards of excellence.
A Swiss restaurant losing CHF 129,600 annually to food waste cut losses by 40% using a four-step method: measure, staff questionnaire, collective workshop, and follow-up.
Google has stripped live pricing, date filters, and budget tags from its EU hotel search unit to comply with the DMA, leaving hotels with only a name, link, and address in the box built for them.
Meyer Jabara Hotels outlines a 2027 strategy centered on capital discipline, ancillary revenue capture, and profitability as STR forecasts RevPAR growth slowing to 2.1%.
With 94% of hotels failing to appear in AI search results, venues must adopt structured, detail-rich content strategies to stay discoverable to event planners using tools like ChatGPT and Claude.
The article argues that the real operational cost isn't missing data but the management effort required to connect disparate hotel data into actionable explanations, particularly for labor variances.
A study of 148 luxury hotels finds Forbes Travel Guide ratings and Michelin Keys explain 55% of AI recommendation frequency, while website schema and llms.txt files show near-zero correlation.
Opinion piece argues that great service requires both the right attitude (mindset) and trained language skills (word set), including how to reframe negative responses.
The author argues hotels must reframe corporate sales around outcomes like productivity, flexibility, and frictionless travel, not just room rates and availability.
AI assistants are billed per web search, capped by developers, making hotel queries expensive and favoring already-known chains and OTAs over independent properties.
A hospitality AI veteran argues that culture, not technology, determines AI success, offering five belief prerequisites hotels must audit before any platform rollout.
A hospitality sales strategist argues that digital reputation now functions as a pre-sales tool, with buyers forming opinions via LinkedIn, podcasts, and AI long before any direct outreach occurs.
Mirai argues hotel distribution is splitting into two ecosystems: the traditional web and an emerging AI agent ecosystem requiring structured knowledge, MCP endpoints, and new optimization strategies beyond SEO.
Mews analyzed 6,000+ hotels using causal inference and found that enabling its RMS Autopilot feature for 9+ months drove a 13% lift in revenue per square meter over 18 months.
Using Cathay Pacific's Google AI contrail-avoidance trial as a framework, this piece argues hotels must define decision envelopes, run shadow-mode pilots, and track AI override rates before granting operational autonomy.