Guest communication is shifting rapidly toward messaging platforms, and hotels need to respond accordingly. Today’s travelers expect fast, conversational, and mobile-first interactions, often preferring WhatsApp over traditional channels like email or phone. This shift is not just about service—it directly impacts conversion, upselling, and guest satisfaction. For hoteliers, WhatsApp is evolving into a strategic touchpoint across the entire guest journey.

Key takeaways

Guest expectations are changing: Travelers increasingly expect hotels to be available on WhatsApp, making it a baseline communication channel rather than a differentiator.
A new conversion channel: WhatsApp is not just for service; it can influence booking decisions, handle inquiries, and drive direct reservations.

Travel scams are becoming more sophisticated, targeting travelers across the entire journey — from booking hotels to contacting airlines and managing loyalty accounts. The New York Times highlights how misleading websites, fake customer service numbers, and hacked airline accounts can lead to significant financial losses and disrupted travel plans. These issues are often driven by intermediaries that mimic trusted brands or exploit moments of stress and urgency. As digital travel ecosystems grow more complex, travelers must become more vigilant in how they search, book, and manage their trips.

Key takeaways

Deceptive booking sites: Some online travel agencies mimic official hotel websites, leading travelers to unknowingly book through intermediaries that add hidden fees, upgrades, or restrictive conditions.
Search engine manipulation: Paid search results often place third-party booking sites above official hotel websites, increasing the risk of users clicking on misleading links.

"IMG has released the results of its 6th annual Travel Outlook Survey that gathered 1,000+ responses from IMG customers about their 2026 travel plans.

Travel planning support: advisors and AI

Findings reveal travelers are relying on expert guidance from both human and digital sources.

• 41% of respondents use a travel advisor or agent for at least some of their trips
• 33% of respondents say they are likely to use AI tools (ChatGPT, Gemini, Copilot, Claude, etc.) to help plan travel in 2026

Among those likely to use AI, travelers expect to rely on it for:

• Recommendations – 75% of respondents
• Itinerary planning – 70% of respondents
• Discovery and ideas – 69% of respondents
• Comparisons – 55% of respondents
• Booking – 13% of respondents"

The travel industry is shifting from isolated AI tools toward a model where artificial intelligence acts as an orchestration layer across complex systems. Rather than relying on a single, all-purpose model, companies are increasingly deploying multiple specialized AI agents that handle distinct tasks and coordinate them across booking, distribution, and servicing workflows. This approach reflects the reality of travel’s highly interconnected ecosystem, where accuracy, reliability, and collaboration between systems are critical. As AI adoption scales, orchestration is becoming the defining factor that separates experimental deployments from operational impact.

Key takeaways

AI as an orchestration layer: The most effective AI strategies in travel focus on coordinating multiple specialized agents across systems, rather than relying on a single model to handle all tasks.
Specialized agents improve reliability: Smaller, task-specific AI agents (e.g., search, booking, disruption handling) tend to produce more accurate and consistent results than broad, general-purpose models.

Artificial intelligence is transforming how travelers discover and choose hotels, shifting search from a manual comparison process to an intelligent, guided experience. Instead of browsing multiple websites, travelers increasingly rely on AI to interpret their intent, filter options, and recommend the most relevant stays. This evolution reduces friction in the booking journey but also changes who controls visibility and demand. For hoteliers, the implication is clear: success will depend less on ranking in traditional search and more on being understood, structured, and surfaced by AI systems.

Key takeaways

Discovery is moving beyond traditional search: AI assistants increasingly shape which hotels travelers see and consider, reducing the role of classic keyword-based search rankings.
Visibility depends on structured and accessible data: Hotels that provide rich, well-organized content—rates, availability, amenities, policies—are more likely to be surfaced accurately by AI systems.

When OpenAI announced it was stepping back from in-chat hotel checkout, the reaction in distribution circles was relief. One less competitor at the point of transaction. The OTAs could breathe again.

That reading misses what is actually happening.

Whether or not ChatGPT processes your guest's credit card is not the question that should be keeping you up at night. The question is whether your hotel gets mentioned at all — before the traveler opens Booking.com, before they type anything into Google, before they have formed an opinion about where they are going to stay. That earlier moment, the one where a shortlist gets built and everything else gets filtered out, is where the real competition is now being decided.

Hotel marketing is not failing because of a lack of tools or channels, but because most hotels operate with fragmented guest data. While hotels collect large volumes of information across PMS, CRM, and on-property systems, this data is rarely unified into a single, actionable view of the guest. As a result, marketing remains generic, reactive, and less effective than it could be. The real opportunity for hotels is to connect and activate existing data to drive more relevant communication, stronger guest relationships, and higher revenue.

Key takeaways

Fragmented systems limit revenue growth: When guest data sits across disconnected platforms, hotels cannot build a complete guest profile, reducing their ability to personalize and convert demand effectively.
Hotels already have enough data: The issue is not data scarcity but data activation. Most hotels underutilize the data they already collect across bookings, stays, and on-property interactions.
Guest understanding remains incomplete: Without integrating data from F&B, spa, and guest feedback, hotels miss critical context that shapes guest preferences and future booking behavior.

Booking Holdings’ CEO Glenn Fogel is warning that AI platforms like Google’s Gemini and ChatGPT could reshape hotel distribution in ways that disadvantage smaller hotels. The irony is difficult to ignore. Booking.com itself played a central role in shifting power away from hotels over the past two decades, aggregating demand and becoming a dominant intermediary. Now, as AI platforms begin to sit on top of search, discovery, and booking, Booking is raising concerns about a similar dynamic unfolding again—this time with even fewer players controlling the customer relationship.

Key takeaways

A familiar pattern repeating: Booking highlights the risk of AI platforms concentrating power, echoing the same structural shift that OTAs themselves once drove in hotel distribution.
From disruptor to incumbent: Booking.com, once a challenger to hotel direct channels, is now positioned as a player potentially threatened by a new layer of aggregation.
AI as the next aggregator: Platforms like Google and ChatGPT could become the new gatekeepers, sitting above both hotels and OTAs in the customer journey.

The rise of generative AI is changing how travelers begin their journey, with a growing number starting without a specific destination in mind. Instead of searching for places and dates, users increasingly describe moods, motivations, or personal preferences, allowing AI tools to suggest tailored travel ideas. This shift reflects a broader move from transactional search to exploratory discovery, particularly among younger travelers. As adoption of conversational AI accelerates, destinationless search is becoming a defining trend in how travel demand is shaped.

Key takeaways

Destinationless search emerges: More travelers now begin trip planning without a fixed destination, relying on AI to guide discovery based on intent and preferences.
Intent replaces location as a starting point: Queries increasingly reflect emotions, needs, or identities rather than specific places or dates.

The travel industry is entering a new phase of disruption as major technology companies develop competing AI systems for travel planning and booking. Amazon, Meta, and Google are building distinct ecosystems with different architectures, data sources, and commercial models. These systems do not interoperate, meaning travel companies cannot rely on a single integration for visibility across platforms. As a result, fragmentation is emerging as the next major distribution challenge for the industry.

Key takeaways

Fragmented AI ecosystems: Amazon, Meta, and Google are developing separate AI-driven travel environments, each with its own logic, partners, and user experience, limiting cross-platform visibility.
Platform-specific visibility: Travel brands integrated into one ecosystem (e.g., Google) may not appear in others (e.g., Alexa or Meta), forcing companies to manage multiple distribution strategies.

"Booking.com has confirmed a data breach in which unauthorized parties accessed certain customer booking details. The company stated that financial information was not compromised, but personal data such as names, contact details, and reservation information may have been exposed. After detecting suspicious activity, Booking.com took steps to contain the issue, reset reservation PINs, and notify affected customers. The incident reflects a broader pattern of increasing cybercrime and fraud attempts targeting online travel platforms.

Key takeaways

Scope of exposed data: Hackers accessed booking-related information including names, email addresses, phone numbers, addresses, and reservation details, but not financial data.
Unclear scale of impact: Booking.com has not disclosed how many customers were affected, leaving uncertainty about the full extent of the breach."

Chinese online travel agencies are leveraging a decade of domestic technological innovation to expand aggressively into global markets. By integrating artificial intelligence across their platforms, these companies are enhancing personalization, operational efficiency, and customer engagement. Their experience in China’s highly competitive and mobile-first environment is now becoming a strategic advantage abroad. As a result, global travel distribution is entering a new phase where Chinese players are increasingly influential.

Key takeaways

AI as a competitive advantage: Chinese OTAs are embedding AI across search, pricing, and customer service, enabling faster and more personalized user experiences.
Domestic scale as a testing ground: Intense competition and large user bases in China have allowed these companies to refine technologies before deploying them internationally.

The conversation about Google and agentic travel keeps returning to the same question: when agentic hotel booking goes live inside AI Mode, who wins and who loses?

It is a fair question. But it is also a narrow one.

The booking moment is one point in a journey that begins weeks before arrival and ends weeks after checkout — when the experience gets processed, rated, remembered, and eventually shapes the next booking decision. Google's infrastructure touches every one of those stages. The question worth asking is what happens when Gemini becomes the interface that ties them together.

The post-pandemic rate surge gave independent hotels a comfortable story to tell. RevPAR climbed. ADR held. Occupancy came back. For several years, the top line moved in the right direction and most operators were content to watch it.

That period is over. Global RevPAR fell 5.4% among independent hotels in 2025, with ADR down 5.8%, according to Cloudbeds' analysis of 90 million bookings. The rate-led recovery has stalled. And as it stalls, something that was always true but easy to ignore is now impossible to avoid: the revenue recovery and the profit recovery were never the same thing. For a significant number of independent hotels, the profit recovery never fully happened at all.

This is not a temporary gap that will close when demand picks up. It is the result of structural cost shifts that took hold during the recovery years and show no sign of reversing. Understanding why — and changing what you measure — is the most important commercial decision an independent hotelier can make in 2026.

Agilysys outlines 30 key technology trends expected to shape the hotel industry in 2026, highlighting a shift toward more integrated, data-driven, and guest-focused operations. It argues that artificial intelligence is becoming foundational across the hotel tech stack, influencing everything from pricing and marketing to operations and guest experience. At the same time, fragmented systems are giving way to more unified platforms that enable real-time decision-making and personalization. The overall direction points toward hotels operating more like connected digital ecosystems than standalone properties.

Key takeaways

AI becomes core infrastructure: Artificial intelligence is moving from experimental use cases to a central role in revenue management, marketing automation, customer service, and operational decision-making.
Shift to platform ecosystems: Hotels are increasingly adopting integrated platforms rather than standalone tools, enabling seamless data flow across departments and improving efficiency.
Real-time data drives decisions: Access to live data is becoming critical for pricing, distribution, and operations, allowing hotels to respond faster to demand fluctuations and market changes.
Personalization at scale: Technology is enabling hotels to deliver tailored guest experiences across the entire journey, from pre-booking to post-stay engagement.