Hospitality AI in 2027: It’s time to move beyond the hype

Artificial intelligence has dominated technology conversations for the past few years. It seems like AI can do everything and anything.  (At least that’s the hype.)  But as the hospitality industry looks towards 2027, conversations are becoming noticeably more practical.

The question is moving from “What could AI do?”  to “What should AI do?”

That was one of the clearest messages to emerge when 14IP recently brough together senior hospitality technology leaders in London to discuss the opportunities and challenges shaping technology strategy.

The audience included CTOs, IT Directors, Group Heads of IT and Cybersecurity, technology managers and hospitality technology consultants. Alongside presentations, we asked attendees to discuss their own experiences, concerns and priorities.

When it came to AI, the message was clear: hospitality is interested but wants reliable outcomes rather than hype.

AI projects must demonstrate reliability as well as business value

Hospitality technology leaders aren’t short of enthusiasm for potential AI projects. AI initiatives are emerging across finance, HR, operations, customer service and almost every other part of the business.

Our presentation on the evolution of “AI” and its role in work and safety prompted considerable discussion.  Attendees raised concerns around emerging technology, the quality of AI-generated information, cost and how guests themselves will respond to increasing levels of automation.

Aside from the importance of ROI- obviously an important selling point for any AI initiative–many other factors were discussed: reliability, consistency, guardrails, as well as the human experience.

AI should support hospitality, not degrade experience

Key discussions concerned the relationship between AI and people.

Except in niche scenarios, hospitality is still a human business… Guest loyalty is strongly shaped by interactions with staff who make a guest feel recognised, understood, and looked after.

Symbiotically, hotel staff is critical to the guest experience—particularly the front desk.  When employees are distracted by ringing phones or tied up on calls, they can’t focus on the guests in front of them.

Participant consensus was that AI has proven well suited to handle routine questions, call transfers, housekeeping requests, and other repetitive tasks.

Reservations could be a significant opportunity

One application for AI that repeatedly surfaced during the discussions: reservations.

As part of the briefing, 14IP shared findings from a recent analysis of 20,000 guest conversations handled by its hospitality AI technology. Reservation-related requests exceeded every other call topic analysed, which resonated with attendees.

In many operations, if a current guest wants to book another stay or change their reservation they’ll be transferred to a remote call center.  That conversation isn’t necessarily just about a booking though. Guests may also want to arrange airport transfers, request a cot or extra pillows, ask questions about the property or organise other elements of their stay. Depending on the hotel group, those interactions can cross central reservations, online booking systems and individual hotel operations.

Which raises another important issue for hospitality AI.

Another technology silo isn’t the answer

The potential of AI increases considerably when it works with the technology hotels already use. PMS integrations, amenity booking systems, existing contact-management systems and call routing were among the practical issues raised during our conversations.

This is an important consideration.

Hotels don’t need yet another standalone platform containing another set of information to maintain. They want products capable of becoming part of their existing ecosystem which streamline process—without requiring a crippling platform migration.

That’s also why keeping AI knowledge accurate and current matters. Attendees specifically questioned how information would be maintained without creating another database or additional administrative burden for hotel teams. For AI to become genuinely useful at scale, integration and ease of management will be critical.

Conversations are important

Every day, hotels have thousands of conversations with guests. Both individually and collectively, those conversations have insights which go unnoticed.

What are guests repeatedly asking for? Are there issues with facilities or amenities?  What services cause confusion? When AI is used, which interactions are still being transferred to people? And what are guests asking for that hotels perhaps don’t currently provide?

14IP’s current Xivea AI analytics already look at areas including call volumes, call containment, interaction topics and service requests. The 14IP roadmap explores taking that considerably further, using conversation data to identify trends and actionable insights at both property and group levels.

That potentially moves the conversation beyond AI as automation towards AI analysis and actionable insights.

Listen first, develop second

While the conversations in London reinforced some of our existing thinking at 14IP, they also highlighted areas where hospitality technology leaders want more. Reservations, integrations, property-level personalisation, analytics, emergency handling, IT security, as well as how to keep information current all featured in the discussions. That feedback matters.

Technology roadmaps created in isolation often miss the point. 14IP’s relationships with hotel groups, operators and technology leaders allow us to listen directly to the people responsible for deploying and managing this technology every day–and use those conversations to directly inform where we take our products next.

As hospitality’s focus moves to 2027 and beyond, AI hype will no doubt continue. Success won’t be measured by who deploys the most AI, or even the most advanced AI. It will be defined by those who implement AI strategically.

What else are hospitality technology leaders prioritising for 2027?

AI was only part of our discussion.

Our new white paper, What hospitality technology leaders are prioritising in 2027: Opportunity. Risk. Resilience., brings together insights from our conversations with senior hospitality technology leaders, exploring AI alongside cybersecurity, insurance, operational resilience and the risks associated with aging technology.

Download the whitepaper