Technology

Hotels are better positioned for the AI era than most people think. They own something no LLM can replicate: years of proprietary guest data and a direct relationship with the customer. That's a genuine competitive moat, and agentic AI is finally what turns it into action.

The takeaway that stays with me isn't about any single technology. It's about what AI can actually do to change the way we experience travel.An example of this was the live demo I gave on stage to change my own flight home - not by calling a helpdesk, not by navigating an app - but by having a natural conversation with an AI agent that handled everything live: rebooking, seat, baggage, transfer all in one simple phone call.The audience went quiet for a moment.

What stood out to me most at ITB Berlin this year was how much the conversation around AI has shifted from theory to real, everyday use. Hoteliers and operators are no longer asking whether AI matters, but where it can make the biggest difference for guests and teams right now.

The most transformative disruption we’ll bring to the hospitality industry by 2026 lies in end-to-end workflow automation across hotel operations, not just individual tasks, but entire processes that currently require too much manual effort with too many handoffs and that may unnecessarily create security risks in today's high data security environment.

We believe AI will most profoundly disrupt operational scheduling and resource allocation across spa, wellness, and leisure departments. These areas are traditionally managed through manual guesswork, disconnected systems, or static templates.

I believe the biggest disruption isn’t a single task - it’s the entire commercial workflow behind meetings and group bookings. A third of all hotel room nights tie back to a meeting or group, yet hotels still burn thousands of hours on manual qualification, data gathering, and proposal-building.

It's abundantly clear that the US hyperscalers are unable and unwilling to regulate themselves. A $100 million pro-AI super PAC formed in August, backed by OpenAI's president, has identified its first pro-legislation target to oust.

The divergence in AI regulation is less about "innovation versus control" and more about who will define the operating system of the future economy. The US optimises for velocity and scale; the EU for rights, accountability, and systemic risk.

Yes, the gap in AI innovation and adoption will continue and expand. This disparity is less about well-intentioned policy and more about an ongoing geopolitical battlefield where technology sits squarely in the 'armed forces' of the major powers.

In my previous airline and telcoms world, we used service buses like TIBCO to sit on top of enterprise systems. The upside was the potential of plug and play (although we never actually changed back end ERPs). The downside was extra latency and cost.

The integration hub solution is different for every hotel. The easiest answer starts with new brands or independents. Heading into 2026, there are several great PMS and GEMS players that can fulfill a variety of central operations so that one-off integrations amongst disparate, single-use services aren't as necessary as they were a few years ago.

In practice, it's not that simple. A hub always depends on common integration standards — yet many systems still lack proper REST APIs to communicate effectively. For example, we dynamically manage room assignments and reassignments based on guest fit and preferences, but not all PMSs even offer APIs that allow us to do this.

The problem isn't that personalization fails on property. The problem starts much earlier: we still don't speak the right language of guest experience in the digital space. Take booking. A traveler may want a big bed, a walk-in shower, and a quiet location.

Online personalisation is easy, as it's mostly a pattern-matching algorithm between known guest preferences and available services. It isn't personalisation, rather just mass customisation. On property, a guest walking around is essentially anonymous, even after checking in.

This is a question at the heart of hospitality’s digital transformation. Hotels excel at digital personalisation (curated offers, smooth booking, and tailored communications) because online, data is structured, accessible, and actionable.

When it comes to where our Distribution landscape is headed - it's not even a question. Of course uniting our efforts is the only way to go. Otherwise we'll lose another OTA battle. But there's much more to the world of AI functionalities, it has its tenticles in every part of our tech ecosystem, not distribution alone.

I think we are in danger of running before we can walk here. MCP is Anthropic’s pitch for an open standard to let "agentic AI" bots built on next-word LLMs share data, for example, an OpenAI bot talking to a Gemini bot. Unless you are Marriott or Hilton with hundreds of in-house developers, or a big OTA like Expedia or Booking.com, this really isn’t something you need to worry about.

You could establish your own protocols instead of MCP, A2A, or other widely endorsed standards for agentic interactions. But that would be like creating your own version of HTTP. Not a great idea. The good news is I don't think companies feel the need to change that basic agent-friendly plumbing.

Everyone wants the hotel tech stack to be more guest-centric and hopes AI will help to deliver a more personalized experience. This future will be centered around the PMS as the hub for rooms-centric operations and the CRM/CDP for repeat-visit-oriented relationships with guests.A strong connection between these two systems is vital to have the CRM/CDP ingest the most information about guests so that ML has big and accurate data sets by which to recommend segments, retool rates, create suggested packages, A/B upselling offers and so on.But both of these systems are back-of-house.

There is really no difference between preparing data for Gen AI and for other tech tools: structured data must be normalised, deduplicated, and governed, while Gen AI is best applied to unstructured sources like reviews, transcripts, or free-text notes.

AI in hospitality cannot be reduced to a fixed list of use cases, because the technology and its applications evolve too quickly and vary too widely across companies. Each organisation runs on its own mix of operations, tech stacks, data flows, and structures, which means their AI opportunities will always be unique to their context and business challenges.

The age of the hotel brand is ending. For decades, franchises have scaled by selling sameness, consistency over individuality. AI breaks that logic. AI reshapes the vectors of discovery. Instead of guests defaulting to familiar logos or loyalty programs, intelligent systems surface the properties that best match a traveler's needs, preferences, and context.

This is part of a bigger question, I think. As a marketing guy, let me explain it through distribution, using Booking.com as the example. Booking spends billions on advertising, dominates search, builds the user experience that has become the industry template, and runs a multilingual customer service that often outperforms independent hotels.

Yes. It's not limited to franchises and is a pretty long standing clause in agreements. There largely because it was not as prominent a consideration back in the day from a data and technology perspective - harder to get data out of a peice of on premise technology that the owner paid for.

About 18 months ago, some people on LinkedIn touted that Conversational Interfaces would kill off websites. Current status? Tumbleweed. Visuals sell things, text supports. Websites enable owners to portray their brand and products/services as they see fit.

The rapid advancement of AI, especially agentic technologies, is fundamentally changing hotel distribution and guest engagement. Recent data shows that only about 25% of AI-generated hotel information now comes from hotel websites; the rest is sourced from OTAs, public databases, and proprietary data.

I don't believe AI will make hotel websites obsolete. If we learn anything from the past, every obstacle creates opportunity. Technology's direction isn't a single script; there are multiple paths and approaches. Where a problem needs to be solved, a tool will emerge to solve it.

What's always amazed me is the lack of real-time coordination between the hotel and dining teams in terms of already knowing guest preferences the moment they identify themselves at the restaurant host station. Precisely because there isn't typically quick coordination between these two silos, that leaves a ton of room for wow moments that technology can execute in an automated, scalable and real-time manner.

Seamless Data: The Truth About Why Your Organization Isn't There Yet In the dynamic landscape of hospitality, the growing momentum towards unified hotel technology and seamless data flow across departments and guest touchpoints is undeniable.

The idea of crafting experiences around a centralized, real-time guest profile represents more than a technical upgrade; it signals a paradigm shift. We are moving from an analog conception of hospitality to a computational one, where data no longer serves the experience but is the experience.

Our work with clients on personalization is rooted in the fundamental view that we've always aimed to better match what we have to offer with what a guest truly desires. This is particularly crucial when a property offers a diverse range of products beyond just rooms, where strategic personalization can genuinely elevate the guest's enjoyment by more accurately aligning offerings with their individual preferences.

The real threat today isn't personalization creating an echo chamber, it's hotels failing to meet the expectations of generations raised on TikTok, Spotify, and Instagram. Gen Alpha and Gen Z aren't marveling at algorithmic recommendations; they expect them.

Let's be blunt: most hotels haven't even reached personalization, let alone hyperpersonalization. And while Booking.com, Netflix, and Amazon are masters of knowing what you want before you do, many hotels still worship the PMS like it's the digital holy grail.

All-in-one, hands down. Advantages are: Fewer vendors to talk to, saving time Fewer dashboards to look at, preventing dashboard fatigue Fewer interfaces to maintain Better data streaming (not guaranteed though) Steamlined billing There are exceptions to this, especially for emerging categories, but in a world of "satisficing", keeping it simple rules the day.

A very topical question which also came up at the HFTP Barcelona CIO Summit recently. There was no single answer as it will always depend on the particular situation. For a small hotel/BnB, a combo PMS/POS/IBE product like Avon Data, Heart or BookAssist may suffice and would do a very good job.

In a word, yes. All the major players in industry are working towards a hospitality 'platform' solution. Yes, you may be able to purchase the pieces separately, which is purely commercial. But they are designed and intended to support across business operations.

"Hand-thought is the new hand-built. In luxury, human-curated service — powered by AI — is the next premium." The CIO role has moved far beyond infrastructure. We’re no longer just maintaining networks — we’re shaping the future of the guest experience.

"Forget the hype — the true power of AI lies in the back office, not in guest-facing gimmicks." Technology has become central to our business planning. IT is no longer a support function — it’s a strategic pillar. I’m increasingly involved in shaping commercial roadmaps, evaluating distribution platforms, and making long-term investment decisions.

Every department is becoming its own tech expert — our job is to enable, not dictate." We’re witnessing a cultural shift in how technology is adopted within hospitality businesses. End users are increasingly tech-literate — they’re evaluating tools on their own, consulting peers, and coming to IT with clear preferences.

We focus on using technology to create seamless and personalised guest experiences while also improving performance. One example is how guests can easily add extras such as late checkout or breakfast directly from their phone at check-in.

One simple example that recently impressed me was receiving a WhatsApp message allowing me to check in online. It was seamless and aligned with what many guests now expect. In fact, we know that around 63 percent of millennials prefer the option to check in online.

At Staypineapple, we use Mews across all of our properties and have started incorporating AI to help us better understand our guests before they arrive. We combine this with other data—like reviews and past preferences—to build a more complete picture of who is staying with us.

In my opinion AI and robotics will disrupt the industry's jobs on a few different levels. The guest transactional experience will be the first to be affected and the first jobs to go will be in customer service, especially call centers, reservations, operators, etc.

A couple of key considerations impact the outcome and this will come down to a per business environment. These are - What is your philosophy toward the delivery of hospitality, which is a human to human condition? What 'level' of product are you offering to the market - do you currently deliver hospitality (service and care) with your existing product?

Technologies like AI, robotics, automation, mobility and IoT are called upon to solve a number of issues in hospitality: Solve dull, repetitive, dirty or dangerous jobs. Solve high turnover of trained employees (20%-30%) Solve problems like poor discipline, lack of motivation, etc.

... Back office. In all its flavours, from finance reconciliation (via Predictive AI/ML based RPA tools), guest feedback analysis (via Gen AI tools), Revenue Management (via Predictive AI, which has been in place for over a decade already), and marketing SEO/PR copywriting (via Gen AI text and graphic tools), HR (eg tools to auto read/select/deselect CVs based on Gen AI tools), and some staff productivity (eg via Copilot for email filtering).

I believe that the single biggest impact AI will have on hospitality is in REVENUE MANAGEMENT. Today's hospitality revenue managers navigate an increasingly complex environment shaped by shifting consumer preferences and remaining competitive.

Transitioning hospitality from Mobile-first to AI-first will be the greatest transformation of our industry since the advent of the Internet. Within this AI transformation, I believe agentic AI will have the single biggest impact on our industry.

The first observation is that things are developing very quickly. As compared to Moore's law, the pace of next generation AI capablities are developing at a speed that is hard to fathom based upon our species past technical endeavours.

AI Agents are a fundamentally different way to interact with data and knowledge. We are now in the phase of replicating the current status with agents (for example, to build a travel itinerary), like the first TV programs were radio shows with a camera, but pretty quickly we'll evolve to find new ways of doing the same things.

No, most hoteliers are not ready for the new era of personal AI agents. Hotels have historically been cautious about new technology, and for good reason. But AI-driven hotel discovery isn't necessarily about tech adoption. It's about storytelling.AI relies on natural language processing, so hotels should publish blog posts and substantive content that answer traveler queries on their websites.