AI Adoption for Property and Hotel Managers

AI Agents Are Booking Hotels. Is Your Direct Channel Ready to Compete? OpenAI’s ChatGPT Agent Mode has transformed hotel bookings. AI is no longer just suggesting options. It now books directly on behalf of travelers. Instead of comparing hotels across websites, guests simply ask ChatGPT for what they want, and the AI searches, selects, and completes the reservation, often through OTAs. If your hotel content isn’t structured in a way AI systems can read and trust, your brand is effectively invisible. Traditional SEO tactics focused on human search behavior are no longer enough. Hotels must shift to Answer Engine Optimization, using structured data and clear content that AI agents can easily process. Most hotel teams are not ready for this shift and may already be missing bookings without realizing it. 📢 THE PIVOT FOR HOTEL COMMERCIAL TEAMS: Hotel commercial teams need to rethink their entire approach. This is not about improving your Google rank. It is about making your hotel visible to AI agents that now complete bookings for your guests. ⚠️ The rules of the direct channel have changed. Your content needs to be structured for AI discoverability. Your team needs to understand how AI agents make decisions. Without that, you will be bypassed without even knowing it. The direct channel is at risk unless your teams become AI-literate and start building content for machines as well as humans. FIVE ACTION STEPS FOR HOTEL TEAMS: 1️⃣ Audit and Optimize Structured Data Review your website and booking platform to ensure correct schema markup is in place. AI agents rely on machine-readable data to process your rates, amenities, and availability. 2️⃣ Implement Answer Engine Optimization Move beyond traditional SEO. Focus your content on clear, factual, structured property details across all platforms where AI agents can find them. 3️⃣ Upskill Your Team on AI Literacy Train your marketing, revenue, and sales teams on how AI agents function. AI is now a participant in the booking process. Your teams need to understand how to influence its choices. 4️⃣ Track AI Visibility and Recommendations Start measuring how often your hotel is seen or selected by AI systems like ChatGPT. Visibility is now invisible. Without tracking, you won’t know what you are losing. 5️⃣ Strengthen Direct Channel AI Readiness Ensure your website, booking engine, and voice assistants are optimized to serve both human guests and AI agents. Using AI Voice Agents can help capture direct bookings that might otherwise be lost. If your team needs help optimizing your direct channel, developing AI skills, or driving immediate revenue, reach out. Whether it’s training your team, creating structured content, or helping you track AI-driven visibility, I can support you. Consider me a gig member of your team, ready to help you drive results.

AI in hotels is not about dashboards. It is about decisions that move the P&L. The industry talks a lot about AI. Forecasting tools, BI platforms, automated reports. But let’s be honest. If AI does not impact GOP, labor cost, contribution margin, or total revenue per guest, it is just a prettier report. The real opportunity is not predictive analytics. It is predictive operations. Here is where AI actually creates value in hotels. 1. Forecast driven labor optimization When occupancy forecasts dynamically adjust housekeeping staffing, outlet scheduling, and floor closures, payroll ratios improve without cutting service. 2. Pricing based on total guest value, not just ADR Most RMS optimize room revenue. Very few optimize for TRevPAR or net contribution per segment. AI should understand Which segments overspend on F and B and spa Which channels dilute margin through high cost of sale Where elasticity differs between transient and package demand Revenue optimization without contribution logic is incomplete. 3. Energy and asset efficiency linked to demand curves Connecting occupancy forecasts to BMS systems reduces utilities per occupied room and improves flow through. That is immediate margin impact. 4. Channel mix optimization in real time When AI detects declining net contribution by channel and automatically adjusts availability or pricing, that is commercial intelligence, not reporting. But here is the uncomfortable truth. Integration is not the biggest problem. Leadership and decision discipline are. You can connect PMS, RMS, CRM, and BI, but if pricing is overridden emotionally, inventory is blocked without displacement logic, or marketing discounts without contribution analysis, AI becomes decoration. The competitive advantage in hospitality will not come from having AI. It will come from Understanding unit economics Designing automated decision triggers Aligning commercial strategy with operational execution Optimizing for profitability, not just topline AI should remove friction, not add complexity. The question every hotel owner should ask. Is your AI strategy improving flow through and margin, or just producing nicer dashboards? #Hospitality #RevenueManagement #AI #HotelPerformance #CommercialStrategy

Boom is a two-year-old AI-powered hospitality management platform whose latest funding round is a shot across the bow for every CXM platform with a foot in hospitality. The Bay Area-based company just raised $12.7 million to weave AI into the operational fabric of hotels. If you recall, Medallia started with Hilton as its first customer, so this is a particularly interesting story to follow. Boom isn't offering a chatbot in the lobby. On the contrary, they're promising conversational AI, hyper‑personalization, and predictive analytics that can learn, adapt, and autonomously manage complex tasks. Why does this matter for Qualtrics, Medallia, Sprinklr, and every other CXM vendor with hospitality clients? Because the data plumbing and decision‑making layers are moving deeper into the hotel. They're not going to live on a dashboard or inside a GenAI capability that a hotel manager uses to automatically generate a response to a low-NPS guest. This stuff will go by the way of the dodo bird. Imagine what this could look like: At Hilton, their Watson‑powered concierge “Connie” (now nearly 10 years old) answers questions about amenities and local restaurants. With Boom's AI capability, Connie could remember your running route from your last stay, pre-book your gym slot, and push a personalized offer through your loyalty app before you even unpack. Marriott Hotels has tested in‑room voice assistants that let guests control lighting and temperature. Layer predictive analytics on top, and the system could anticipate when you typically request room service, ask if you’d like your favorite snack delivered, and feed that behavior back into Qualtrics or Medallia for real‑time NPS tracking if you're into that sort of thing. Here’s how hospitality brands can turn this technology into magic: Connect your feedback loop. Integrate AI‑driven interactions with your CXM platform so every guest preference and sentiment automatically informs product and service tweaks. Train employees to be AI translators. Your staff should know how to interpret AI signals and add the human touch, whether it’s a concierge upselling a spa package or a manager smoothing out a glitch. Pilot, then scale. Start with a single property or service (e.g., check‑in) and use tiger teams to refine the experience before rolling it out chain‑wide. Frankly, I think Boom is ripe for a CXM provider looking for a nice tuck-in acquisition to boost their action-focused future and valuation. Because the future is not about delivering thermometers. The future is about enabling action at scale. Boom’s vision hints at a future where hotel stays feel bespoke at scale. If you were running Hilton or Marriott’s CX program, what’s one AI‑driven experience you’d implement tomorrow? #customerexperience #hospitality #ai #futureofwork #cxm #saas

Conventional wisdom assumes AI will gut property management. The data says the opposite, and it's turning the industry's least wanted job into its most valuable one.   That's the argument Daniel French, CEO of Northpoint, makes in this week's Thesis Driven letter, and the numbers behind it are hard to argue with.   Start with how people end up in the job. Property management employs roughly 900,000 people in the US, yet only a handful of universities offer a degree in it while hundreds teach real estate finance. So the industry has filled the gap by accident, recruiting people who never planned to be there and letting the work suck them in.   For decades that arrangement was fine, because the prestige and the money lived on the buy side with the developers, the acquisitions teams, and the capital markets crowd. The property managers changed toilets and fielded complaints.   Three things are breaking that pattern at the same time.   The first is capital. Alpine Investors manages more than 70,000 units with a stated target of 300,000, and Asset Living's roll-up is being recapitalized north of $2 billion at a multiple pushing 18-20x. Private equity doesn't pay those numbers for a back-office function.   The second is the sheer volume of new housing. More than a million apartments were delivered in 2023 and 2024, and at traditional staffing those units created roughly 20,000 new on-site management jobs that the existing talent pipeline was never built to handle.   The third, and the most misunderstood, is AI.   Most people assume AI thins out white-collar operational roles like this one, but the evidence points the other way. Property management employment has grown about 2% a year since 2014, through a decade of AI tools, and a recent AppFolio/IREM survey found 10% of owners expect AI to cut headcount while the other 90% expect it to reshape the role.   It's the Jevons paradox at work: make a resource more efficient and you tend to consume more of it, not less. AI clears out the spreadsheet work and the manual data entry, and what's left is the part owners care about, which is asset management.   The elevated property manager starts doing things most owners have never seen from one, like biannual asset management reports, proactive property tax grievances backed by real comp analysis, ancillary income programs, and insurance claims handled by someone who prepares before the disaster rather than after it, in a world where the five biggest home insurers didn't pay out on 44% of claims last year. That's the whole shift in a sentence: from vendor to financial partner.   For investors, the takeaway is simple. Cap rate compression and acquisition arbitrage have gotten harder, and operations is where the next edge lives. The firms that win the next decade may not be the ones with the best buildings, but the ones with the best people running them.   Daniel's full letter is worth your time, and I've put the link in the comments.

Recently, Hospitality Net asked their Digital Marketing in Hospitality panel how hotels could use AI to shift bookings from OTAs to their direct channels. You might find this answer interesting: In the near term, the biggest opportunities AI provides for driving direct revenue revolve around creating richer, more personalized experiences at each stage of the guest journey. Hotel marketers can use AI to better segment potential guests based on behaviors and deliver content and offers — at scale — that match those segments’ intent. Increasingly, you can let the AI select and orchestrate campaign messages, images, and offers that align with the needs of potential guests, and drive conversion. Similarly, these tools can provide intelligent rate displays and offer attractive upsell opportunities to guests to improve the revenue you achieve during each stay. Real-time guest service during the booking process, including chat, can help improve that experience and increase conversion rate.  Of course, the guest journey doesn’t end at time of booking. Again, savvy hotel commercial teams are beginning to put AI to work to upsell and cross-sell on-property experiences during the pre-arrival and on-property stages of the guest journey to drive greater share of wallet. And, of course, intelligent, automated post-stay campaigns are beginning to produce results in driving repeat bookings from past guests.  In the longer term, we’ve not yet seen how universal access to AI assistants will shape guest behavior. These tools are likely to shift the way guests interact with information and experiences every bit as much as the internet, mobile, and social media have. We should expect to see new marketing and distribution channels that make it easy for us to reach guests directly — and new gatekeepers who seek to insert themselves into that process. Every silver lining comes wrapped in its own cloud.  Regardless, these benefits come with a cost. Hoteliers must take a serious look at their existing tech stack and team skills to ensure they’re ready to put these tools to work. Take a look at the partners you work with. Do they make it easy to connect with new sales and marketing partners? Do they have a well-articulated vision for how they’ll incorporate AI into their products? Have they begun to deliver on that vision? If so, you’re in great shape. If not, it may be time to start looking at alternatives.  And, finally, don’t ignore your people. Does your team have the skills, the resources, and the vision needed to adapt to a changing customer and technology landscape? You will want to give them the support they need to quickly adjust as guest behaviors — and those of your competitors — evolve. The hoteliers who are able to learn the fastest, and put those learnings to use, are the ones most likely to succeed at driving more direct business as AI becomes more common. And there’s nothing artificial about that. #AI #hospitalitymarketing

"Hotel websites will die soon!" That’s what many are saying with the rise of AI agents like ChatGPT and Google Gemini. And honestly, part of this makes sense: 👉 Trip planning through AI is becoming the norm. 👉 If you've already decided, AI can search and book for you. 👉 Apparently more convenient with fewer clicks and less time. But does that mean your hotel website is dead? Not at all. Google and OTAs didn’t kill your website traffic, they just changed how travelers find you. AI will do the same. People dreaming about their next trip still love browsing photos, watching videos, and feeling the hotel vibe before booking. And yes, if a traveler has already chosen the hotel, they might book directly through the AI conversation. But for the vast majority, these agents will be used much more for search and discovery than for completing the booking itself. In my opinion, ChatGPT and other AI tools threaten Google search traffic far more than direct bookings. The habit of verifying prices, deals, and credibility through the hotel’s own channels will remain strong. But one thing is clear: If you want your website to stay relevant, it can’t just be a brochure anymore. It needs to be alive, and here’s what the new generation of hotel websites must offer: 📸 Immersive storytelling: real images, videos, and experiences (rooms, F&B, local life). 🎁 Exclusive offers: seasonal deals and perks for direct bookers. 💳 Flexible payments: smart checkout for both local and international travelers. 💬 Instant communication: WhatsApp & chat powered by AI and humans together. 🧠 Structured content for LLMs: to ensure AI agents understand and promote your property correctly. 🔒 Trust & design: because great UX still builds confidence to book. And remember: those frequent guests who already know your property should always have an open communication channel with you via WhatsApp. Your conversational channel can be even more attractive than any AI agent if you create unique relationships, personalized offers, and direct negotiation opportunities for your returning guests. Feel free to disagree with me. ;) #hotelwebsite #hotelmarketing #directbooking #conversationalbookings

Prediction #10 for Hotels for 2026: Hotels & Brands Lost Distribution When the Internet Arrived. AI Gives Them a Second Chance — Or Finishes the Job Fully. When the internet moved hotel distribution online, most hoteliers hesitated. OTAs didn't, and brands & owners gave up too much margin & too much control to the OTAs then. That hesitation handed distribution to middlemen for over two decades now. Now AI is here. And it's the most disruptive force in hospitality since we first put a hotel room on the internet. But here's what makes this moment different: AI cuts both ways. The internet primarily disrupted distribution. AI simultaneously rewires operations, revenue management, guest experience, labor economics, and the very definition of what a "hotelier" does. AI, AI Agents & eventually AI Robots will strengthen the adaptive and destroy the complacent — across EVERY stakeholder group in Hotels. And owners that rely on the Brands to solve the issue will only see their margin erode faster & further... Here's what I believe happens next: 𝗕𝘆 𝟮𝟬𝟮𝟲: → AI-driven revenue management becomes table stakes for any manager → 50% of travel search shifts from traditional engines to AI platforms — fundamentally rerouting hotel discovery → OTAs embed inside every major AI assistant (ChatGPT, Gemini, Claude, Alexa+) — but Google's AI booking tool begins eroding their dominance → Brands that structure content for AI agents gain direct booking share over those still optimizing for traditional SEO → Back-office AI automation delivers the first measurable margin lift — EBITDA moves a few bps → Hotels that treat 2026 as a "planning year" lose ground — the preparation window closes in 2027 𝗕𝘆 𝟮𝟬𝟯𝟬: → Hotels operate with staffing 25–75% below 2019 levels depending on segment — budget deepest, luxury shallowest → AI agents (traveler-side and hotel-side) negotiate rates autonomously, compressing the booking funnel into a single conversation → "What's your AI stack?" becomes as important as "What's your flag?" in hotel transactions → Management companies run 300+ hotels with corporate teams sized for 60. MASSIVE organic consolidation in management happens 2027 - 2035. → Brands that can't deliver AI-integrated tech stacks to franchisees lose market share to those that can; some go out of business → The OTA duopoly either evolves into AI infrastructure providers or faces disintermediation from Google, Apple, and vertical AI travel agents This time, AI doesn't just threaten distribution — it offers to fix operations, margins, and guest experience simultaneously. The stakeholders who figure this out in 2026–2027 will define the industry for the next decades. The next 5 years will deliver a rate of change that Humans have never seen, and Humans (esp. non-Tech Humans) are historically terrible at understanding exponential factors. #Hospitality #HotelIndustry #AI #HospitalityTech #Hotels #RevenueManagement #HotelOwnership #NotDone #Expedia #Booking

Many investors think AI will kill software. 🏨 Hotels might prove the opposite. Over the last few weeks especially after Anthropic’s latest Claude release — the narrative has been simple: “If managers can just tell an AI what to do… why do we need the software underneath?” Fair question. Wrong industry. In hospitality, software isn’t a dashboard. It’s the cash register. Take a modern PMS. It controls room inventory, rate rules, taxes, payment settlement, OTA sync with Booking.com and Expedia Group. If it breaks, you don’t lose productivity. ❌ You lose money. Immediately. ❌ Double bookings. ❌ Incorrect tax filings. ❌ Unreconciled night audits. ❌ Failed settlements. ✅ AI can suggest raising prices for a busy weekend. ✅ It can flag suspicious refunds. ✅ It can draft a response to a guest. 👉 But it still has to operate inside the system that actually moves the money. And here’s the part most investors miss: Hotel software isn’t priced per employee. It’s priced per room. Per property. Per transaction volume. If a 300-room hotel automates check-in and runs leaner ops, the software vendor doesn’t shrink. The rooms are still there. The revenue still flows. The recent funding announcement from Mews highlights what's actually happening. In 2025, it processed ~$19.7B in transaction volume and handled over 42M check-ins while growing SaaS gross profit by 55%. That growth wasn’t tied to how many staff logged in. It was tied to how much economic activity moved through the platform. AI doesn’t remove the application layer when the application layer controls inventory, pricing logic, tax enforcement, and payment reconciliation. It increases the leverage of the system that already sits closest to the money. And hospitality still has a long way to digitize. Compared to fintech or e-commerce, hotels underinvest in tech. Many independents still reconcile manually. Labor planning lives in spreadsheets. Pricing rules are fragmented across tools. In highly digitized industries, AI can replace surface-level workflows. In partially digitized industries, AI accelerates modernization. Very different outcome. The winners in hospitality won’t be the companies with the flashiest chat interface over a commoditized app. They’ll be the ones who: 🏆 Control inventory 🏆 Reconcile payments 🏆 Embed themselves in daily operations 🏆 Sit directly in the revenue flow Because intelligence can float upward. But money still has to move somewhere. And the system that moves it becomes more valuable, not less. The AI reset will not be uniform. This will widen the gap between the best hotel software companies...and everybody else. To be clear there will be a lot of losers who have underinvested in innovation, in customers and in their brand. 📊 But...the winning platforms will reap bigger gains than ever. Who do you think will be the winners and losers of this next revolution?

The world just shifted, and most of the hospitality industry hasn’t even blinked. OpenAI just launched a browser that can book travel. Not search. Not compare. Book. With Agent Mode, it can complete entire reservations on your behalf. Flights. Hotels. Transportation. Everything. This isn’t a future scenario. It’s live right now. That means how people book travel is changing, and it’s changing fast. Let’s be real. If someone can just tell an AI to book them a beachfront hotel with great Wi-Fi and strong reviews, they won’t be scrolling through your website or getting impressed by your Instagram feed. They won’t be reading your brand story or weighing five different options. The AI will make the decision for them. And if your property isn’t integrated into the digital ecosystem that these AI agents are pulling from, you won’t even make it onto the list. That’s not losing market share. That’s becoming invisible. This is where hospitality needs to wake up. You need to stop treating AI like a buzzword and start treating it like the next distribution channel. You need to make sure your property is discoverable and bookable through AI. That starts with structured data, clean pricing integrations, accurate availability, updated descriptions, and machine-readable content. If your hotel still runs on outdated systems and clunky legacy tech, you’re handing your future to your competitors on a silver platter. Think about what happens next. AI agents will prioritize brands with the best digital infrastructure, clear guest value, verified reviews, and seamless booking capabilities. If your property isn’t optimized for that, the AI won’t “consider” you. It will skip you. Full stop. Here’s what you should be doing now: 💡 Audit your digital presence. Make sure everything from your website to your OTA listings is structured for machine readability. 💡 Tighten your data. Your pricing, inventory, and room categories need to be clean, accurate, and consistent. 💡 Invest in infrastructure. If your systems can’t integrate with AI-driven booking platforms, you’re already behind. 💡 Train your marketing team to understand AI search behavior. This isn’t traditional SEO. It’s a different game. The hospitality brands that win in the next two years will be the ones that position themselves at the front of this AI booking wave. The ones that sit back and wait will find out too late that their guests have already booked somewhere else, without ever seeing their name. This is not the time to be passive. It’s time to build for what’s already here. --- If you like the way I look at the world of hospitality, let’s chat: scott@mrscotteddy.com.

Over the past months - across several interviews and industry conversations, I’ve spoken about how AI is reshaping commercial strategy in hospitality. Not as a tool, but as a structural force changing where competition is decided. This article expands that thesis. Large language models, ranking systems, and emerging agentic interfaces are mediating the earliest stages of evaluation — translating intent into constraints, filtering alternatives, and constructing shortlists before a guest ever reaches a booking engine. This does not remove human choice. It relocates it. The competitive frontier is moving upstream. In the piece below, I introduce a framework I call Algorithmic Confidence — the likelihood that a machine will trust your enterprise enough to recommend it. It reframes performance around five structural determinants: ▶️ Product and policy codification ▶️ Data and identity coherence ▶️ Operational reliability ▶️ Reputation authority ▶️ Economic discipline Together, they shape whether an organization is statistically safe to surface. In AI-mediated markets, visibility is earned twice — first by machines, then by humans. If market access increasingly depends on machine-mediated trust, then enterprise design — not messaging — becomes the true lever of advantage. This is not a theoretical exercise. The framework is being implemented at Minor Hotels in collaboration with some of the most advanced organizations shaping travel technology today. The structural impact will become evident in the months ahead. Informed debate is welcome. #HospitalityStrategy #AIinTravel #CommercialArchitecture #DigitalTransformation #Leadership