Technology

A good website/ digital marketing, a decent loyalty offer, and a solid booking engine are essential for all hotels to keep a meaningful share of guest relationships. The role of the OTA should be to bring new guests to a hotel.

The debate suffers from oversimplification. First-party data is strictly contextual to the operational stage being executed—no single entity holds complete ownership.Digital Discovery & Booking: OTAs capture top-of-funnel acquisition data for indirect channels.

It is neither myth nor luxury; it is the precondition for controlling a hotel's own commercial destiny.The "myth" argument conflates two failures. Yes, most hoteliers have underinvested in direct channels for decades, and that failure lies with the industry, not the OTAs.

After years of sitting on the buying side of these conversations, five things matter most to me. First, prove you understand hotel operations. Not in theory, but in how your solution performs at 2 a.m. when a system goes down and guests are waiting at the front desk.

Operational fit, clean integration, solid data protection, and measurable value across our properties and markets — that's the minimum expectation. Beyond those fundamentals, here's what, in my view, signposts the start of a genuine partnership: Show us the product.

From our perspective, before we seriously consider a technology vendor, we expect the vendor to demonstrate the following: Clear understanding of hotel operations and the business problem being solved.The solution must address a defined operational, commercial, guest-experience, or compliance challenge.

Fix your data first. Compset, segmentation, rate mapping, etc. AI is only as good as the data behind it and most "AI failed" stories are really mapping stories. The bottleneck moves from analysis to decisions. When analysis takes minutes instead of days, the question becomes who decides, how fast, and which old meeting you can delete.

I think we're making the same mistake we make with every technological evolution (again, NOT revolution): we OVERestimate what AI will do in the next six months and UNDERestimate what it will do over the next six years. Today, I don't think there's a single killer application that every hotel should rush to deploy.

There's no shortage of AI noise, but most of it won’t tell you where to start. Here’s what I’d advise someone tackling it for the first time: Start with the problem, not the technology - The wrong question to start with is "how can we use AI?" The right one is "where does my team spend time on things that shouldn't need a human?” Repetitive guest messaging, manual reporting, rate updates, back-office admin.

The reality is much more complex than black and white. There are already many humanless hotels (mostly in Asia). So there will be: - regional differences in approach to human vs machine balance - variations between different segments (short-term rentals adopted self-service from the get go, many limited service hotel properties followed, but we won't expect to see if in the luxury segment any time soon, maybe never) It will be a spectrum.

In the future, a purely automated, no-human operational model will increasingly become the way of things. For this to fully materialize, our industry and our customer will have accepted all forms of artificial intelligence—both soft and hard.

No. Humanless hotels will become more common, but they are unlikely to become the norm.Automation and AI are excellent for repetitive tasks like check-in, payments, and guest requests, helping hotels reduce costs and improve efficiency.

United States will never adopt the same ruling. It's a capitalist country where businesses needs (not the government) dictate business actions. Smart operators will implement automation where it makes sense and where it augments "human touch".

The classic philosophy in hospitality is that guests require services provided by super nice, smiling, well-trained humans. I believe this philosophy is greatly exaggerated, especially today. A great example of why guests do not care about human-provided services comes from the vacation rental sector.Today, 20% of roomnights are consumed at vacation rentals/ short-term rentals: houses, villas, condos and apartments.

So far I haven't personally seen AI actually cut jobs. I'm not saying it hasn't but I haven't personally seen it yet. It has however empowered people to do a whole lot more, so it might slow down future hires. But I haven't seen it replace anyone that was hired, unless the person utterly refused to learn how to use AI.

Bold prediction: The PMS isn't going anywhere by 2030 — but it will look nothing like it does today. It becomes the heart of the hotel, connecting and coordinating most AI tools, agents and decisions running across the property.

The death of the PMS was mooted back in 2014 when I joined hospitality from airlines. 14 years later, we still have PMSes. Their primary all-in-one functions were:- Handle check-in/out- Manage room key cutting- Take payments- Set up the hotel room inventory and types- Assign a price per room- Link to selling channels like OTAs- Manage housekeeping- Manage facilities management/maintenance- Handle on-site eventsSeparate RMSes now do pricing and push rates to PMSes.

The Enterprise PMS will still be around in 2030. Every hotel needs a system of record to manage reservations, inventory, rates, guest profiles, financial transactions, and operational controls. AI doesn't remove that requirement.

Generally, more people with access to AI will not mean better solutions, it will mean more noise in the market, more fragmented and badly deployed technology - just like the last decades, but at a bigger scale, and the people who suffer are hotel employees and guests. I do believe that to stand out from the pack and deliver something truly remarkable, you need genuine innovators to bring all these solutions together in a coherent ecosystem that is open, collaborative, and truly end-to-end in how we serve guests. The best technology partners will build closer partnerships at the backend layer, while hoteliers can build complete AI workflows on the frontend.

By HITEC 2030, AI will not have eaten established hospitality tech. It will have eaten the repetitive workflow layer around it. Hotels will still rely on PMS, CRS, RMS, payments, distribution, and other systems of record. Those systems are too operationally critical to disappear quickly.

2030 is a long time from now, especially in AI-years, which are only about 60 days long!If I think about the current trajectories and strategies of the bigger companies that will lead this movement, I see larger travel enterprises implementing foundational agentic backbones like Frontier from OpenAI or Claude Enterprise from Anthropic.

The AI platforms need to monetize their traffic, since AI computing is exceptionally expensive! The quickest way to do so is to partner with well-established travel brands and to start earning affiliate commissions from them. To achieve that, AI connectors play a crucial role, but what kind of connectors?The keyword here is “invisible B2B connectors” that service well established hotel and travel brands, but remain invisible in the background.Ex.

The question lands precisely where the industry tends to look away. Travellers do not wake up wanting orchestration. They want outcomes: the right option, at the right price, with minimal friction and maximum trust. The moment a connector introduces one extra decision — which system to link, whether it is safe, whether it will work — adoption collapses outside a narrow power-user segment.Where connectors genuinely solve a problem is on the supply and enterprise side.

At least in their current form, I think AI connectors risk solving more of an industry problem than a real user need.The idea of a unified journey makes sense, but it breaks when it assumes that travelers will actively connect tools, authorize systems, and manage infrastructure they’re not familiar with.

Specific to the thrust of Max's question, in this context we are referring to search/find from the booking/transaction perspective. In that light...For me it is the next generation of search.Depending upon the user, we can now be far more specific with the input to get more targeted output.We will be able to speak and converse, which is more natural and a next gen over multiple queries or filters.I do believe that when the buying time comes after the research phase the customer will still 'come' to the point of booking.

The Internet enabled you to find things yourself. Agentic AI will do everything for you. That’s why it’s: Much bigger than blockchain or the metaverse. And closer to how big the Internet was.

“When your grandmother can use a new technology, that’s when you know it will reach widespread adoption.” I’m paraphrasing this Kevin O’Leary here but the principle is nevertheless highly instructive for why blockchain and metaverse technologies didn’t have prominent adoption in the travel sector.

Guest preferences for automation vary significantly by region. Business heavy markets in Europe and North America lean toward automation, while the Gulf and Far East tend to favor human interaction, partly driven by lower trust in technology.Regardless of hotel tier, certain roles will always remain in human hands, e.g., chefs, spa therapists, maintenance engineers, duty managers, and any function centred on safety, emotional intelligence, or complex judgment.

Replace - very junior level "support" roles who mainly answer "how do I do this" type of questions. AI agents will be trained on SOPs and do this. Help desk staff can be reduced or upskilled for more complex work.Reshape - Contact Center Agents: As above, simple questions can be answered by AI Agents, and an AI powered PBX will answer the phone for high volume restaurants and make the bookings on a phone call via integration to table booking system, and send confirmation by SMS or WhatsApp.

AI won’t replace hospitality, but it will reduce the number of people needed to run it.In the next 3 years, we’ll see 30–60% productivity gains across call centers, guest messaging, revenue management, distribution, loyalty, back office, and even parts of development.This is not just automation, it’s a redefinition of roles.

OpenAI just admitted what Google already learned with "Book on Google" back in 2022: people use AI to discover, not to buy. I fully agree with Simone the reason is structural, not technical. A hotel booking is not a single transaction.

Conversational platforms will complete bookings, but not by simplifying hospitality's complexity. They will succeed when they can orchestrate it. Today a single reservation touches PMS, CRS, channel management, payment processing, cancellation logic etc.

I’d agree. A retail transaction, even a high value one, is much simpler than a hotel or flight booking. Shopify is a top retail IBE, but its funnel is much simpler (view products, select product, pick colour, select size SMLXL, add to basket, add an upsell box of chocs, set delivery address, etc), than the well-converting IBEs in hospitality like Journey, Net Affinity, P3, Profit Room, Allora etc.

Optimising AI literacy in F&B operations starts with a simple principle: buying technology is not the same as building capability.Too many operators still approach AI as a procurement exercise rather than an operational transformation discipline.

AI investments in F&B deliver value only when adoption is treated as seriously as the technology. The implementation gap is rarely caused by weak tools. It is usually caused by weak translation between strategy, tech implementation and frontline execution.

AI literacy in F&B does not start with tools. It starts with understanding what the operation actually produces.Most teams I see try to adopt AI before they can even describe what their workflow does step by step – mostly for the lack of SOP.

In a word, no. Websites were designed to entice humans to view, discover, consider, buy. They are heavy with images, HTML, JavaScript, etc. to entice us in and encourage us to dwell. APIs were invented for M2M, machine to machine, transactions.

Agents will be everywhere, but behind the scenes. Booking agents are a short-term solution; using AI to simulate human behavior is like asking for a faster horse. Agents that behave as people, visiting websites and simulating human behavior (clicking on links, filling forms) are an incredible technological feat, but are a poor solution to most real-word problems: - Agents are very slow, because they have to replicate user paths built for humans- They fail often, because every website they visit is differentThe future will be MCP- and API-based, with agents interacting with those MCP/API.

Crystal ball time. 5 to 10 years i think we will quite similar to where we are today. the slow pace of change will not change and traditional tech stacks will still be around. lack of motivation to change, contracts and low investment will hinder the change.

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.