It’s Wednesday, November 26. Happy Thanksgiving to everyone here in the U.S. Europe, this is your week to make up for taking the entire summer off. Sending this a little early so I can drink cozy cocktails and hang out with my kids tomorrow morning.
Google just slipped ads into AI answers, Tripadvisor says winter travel is exploding, and Expedia now has 1,500 AI agents quietly rewriting how bookings get made. Meanwhile, Actabl’s new report shows profits holding strong even as RevPAR misses.
🎧 ICYMI…last week’s Hotel Tech Insider podcast episode with Wyndham Chief Commercial Officer Scott Strickland was 🔥
TOGETHER WITH PROFITSWORD BY ACTABL
🔮 Actabl Launches 2026 Hotel Profitability Outlook Report
Hotel revenues fell short of budget in Q3 - RevPAR down 10.8% - yet profit margins held at a strong 37.7%. Midscale operators led the way, proving that lean, disciplined operations outperform flashier growth strategies in a flat market.
🎯 Why it matters: This is a clear signal: profitability in 2026 won’t come from chasing rate hikes. It will come from controlling what you can: costs, labor, and operations (and adapting fast when revenue doesn’t show up).
🔑 Key takeaway: If you want to stay ahead in 2026, now’s the time to benchmark your margins, rethink your service model, and get serious about cost discipline. Download the 2026 Profitability Outlook to see where you stand and where the smart money’s heading.
GOING DEEPER
1. Google Embeds Ads in AI Search Results
I’ve been saying all along that LLM search is just an evolution from the trends that have been going on in search for decades but that it won’t change the model. Google is now placing ads directly within its AI-generated search responses, a significant evolution from earlier tests. This integration is gaining traction, with multiple industry figures confirming increased sightings across desktop searches.
🎯 Why it matters: This move signals Google's intent to make AI Mode a core part of its advertising ecosystem. It reflects a broader industry trend: monetizing generative AI by embedding commerce into machine-generated content.
🔑 Key takeaway: For hotel operators, this means paid visibility on Google may soon extend beyond traditional search ads into AI-generated recommendations. Start watching how your property shows up in AI results and prepare budgets to test these new ad formats before competition intensifies. Read More →
2. Tripadvisor: Winter Travel Up 45% as Experiences Drive Demand
Tripadvisor reports a 45% year-over-year jump in winter travel, with 60% of travelers planning trips and over half (54%) staying five nights or more. Experiences are the priority—93% of travelers are budgeting for them, with cultural tours and day trips topping the list.
🎯 Why it matters: This surge reflects a broader shift toward experience-led travel and longer stays, echoing trends seen in leisure demand post-COVID. The strong spending confidence—despite economic uncertainty—suggests travelers are willing to pay for value, not just price.
🔑 Key takeaway: Hotels should tailor packages and upsell offers around curated local experiences and cultural activities, especially in urban and tropical destinations. Operators in markets like NYC, Cancun, and Bangkok must be ready for longer bookings and experience-hungry guests, with pricing, staffing, and amenities to match. Read More →
3. Expedia Builds AI Moat with Unified Travel Data and 1,500 Internal GenAI Agents
Expedia Group is leveraging its massive global travel dataset and AI to reshape everything from consumer booking to backend operations. With 1,500 internal GenAI agents built by employees and over 50% of customer support handled by virtual agents, the OTA is pursuing a 3-pronged AI strategy: traveler tools, partner insights, and internal automation.
🎯 Why it matters: As AI transforms digital discovery and booking, OTAs like Expedia are racing to differentiate before Google and other giants fully enter transactional travel search. Expedia’s unified platform across B2C and B2B, combined with its deep data pool from multiple brands, positions it to personalize at scale.
🔑 Key takeaway: For hotel operators, this means Expedia’s AI tools could soon offer sharper demand insights and booking behavior predictions. Those partnering via white-label or Rapid API integrations may benefit from faster, more intelligent connectivity—so staying aligned with Expedia’s tech roadmap could be a competitive edge.For hotel operators, this means Expedia’s AI tools could soon offer sharper demand insights and booking behavior predictions. Those partnering via white-label or Rapid API integrations may benefit from faster, more intelligent connectivity—so staying aligned with Expedia’s tech roadmap could be a competitive edge. Read More →
TOOLS & TACTICS
⚒️ Hotel Tech Tools You’ve Gotta Try
✅ Profitsword: Turn powerful BI data into actionable insights that maximize profits.
✅ Cloudbeds: All-in-one hotel management software at the speed of AI.
✅ Tripleseat: Manage hotel group bookings, catering and event sales with AI.
✅ Canary Technologies: Powerful but simple AI powered digital guest journey platform.
✅ M1 Intel: Purpose-built sales platform to help your hotel close more deals.
✅ Otelier: Optimize hotel budgets and forecasts with precise, data-driven insights.
✅ MeetingPackage: Simplify MICE bookings and boost event revenue.
HOTEL TECH INSIDER PODCAST
CCO of Wyndham on Scaling Innovation Across 9,000 Hotels
What happens when the Chief Commercial Officer of the world’s largest hotel franchisor rethinks the entire guest-to-tech relationship? In this episode, Wyndham CCO Scott Strickland reveals how a single global tech stack, empathetic AI, and vendor co-development are quietly reshaping hotel operations at a scale few brands on earth can match.
Key Takeaways:
How Wyndham uses one global tech stack across 9,000 hotels—and why standardizing CRS, PMS, loyalty, CRM, and marketing systems unlocks speed, cost efficiency, and innovation (including a surprising 25% drop in handle time from a co-built tool).
Actionable strategies for building high-trust vendor partnerships—including why Wyndham gives Salesforce, Oracle, Sabre, Hapi, and Adobe physical office space inside their HQ, and how that accelerates co-innovation.
The real-world playbook for operational AI—from empathetic, multi-language AI agents that guests have literally asked out on dates to omnichannel reservation automation and hyper-personalized offers that adapt to guest behavior in real time.
Lessons from other industries hoteliers rarely study—how retail, manufacturing, and airlines provide blueprints for automation, app-based journeys, and guest-centric digital experiences.
👉🏼 Check out the interview on Apple Podcasts or Spotify.
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