New h2c Study: AI Adoption Is Widespread Among Hotel Chains, but Enterprise Readiness Remains Limited

Ratingen, Germany - October 1, 2026 - Artificial intelligence is now widely used across hotel chains globally, but implementation remains largely tactical rather than enterprise-wide, according to h2c’s new AI Opportunity Study 2026: Real Wins for Guests, Staff, and Hotel Operators.

The study finds that 91% of participating hotel chains are already using AI, while a further 8% plan to adopt it within the next 12 to 24 months. However, only 28% report having a company-wide AI strategy led by senior leadership. Most organizations are still operating through pilots, departmental initiatives, or fragmented use of individual tools.

Based on 122 responses from 113 unique hotel chains—including 101 online survey responses and 21 executive interviews—the research covers Europe, the Middle East and Africa, Asia Pacific, and the Americas. The participating hotel groups collectively represent more than 8,200 properties and approximately 1.3 million rooms, averaging 73 properties per chain.

The study also moves beyond stated plans and perceptions. Seventy-eight participating hotel chains shared 230 examples of implemented AI use cases, giving h2c a granular view of what is already happening in practice. The cases span guest communication, reputation management, revenue management and forecasting, internal productivity, marketing, reservations, personalization, operations, finance, and technology automation.

“The industry has moved beyond asking whether to use AI,” said Michaela Papenhoff, Founder and Managing Director at h2c. “The more pressing question is how hotel chains turn widespread experimentation into connected, governed, and scalable capabilities. AI is already generating practical benefits, especially in efficiency and productivity, but the foundations for sustained enterprise value are still being built.”

AI Delivers Productivity Gains First

The clearest benefits reported by hotel chains are operational. Nearly seven in ten respondents cite improved operational efficiency and automation, while 59% say AI enables staff to focus on higher-value tasks. Improved guest experience is also a leading outcome, reported by 32% of organizations.

Yet financial results are less established. Just 13% report measurable ROI from AI so far, reinforcing that hospitality organizations currently view AI primarily as a productivity and capability tool rather than an immediate revenue-growth solution.

Hotel chains rate AI’s contribution to overall business performance at an average of 5.6 out of 10. The result indicates moderate impact, but suggests that many organizations have not yet achieved compelling or broadly scalable business outcomes.

Although adoption is widespread, the organizational, strategic, and technical foundations needed to scale AI consistently across the enterprise are still developing.

Skills, Integration, and Strategy Are the Main Barriers

AI knowledge and organizational readiness remain major constraints. Hotel chains rate their overall internal AI knowledge at only 3.4 out of 10. The leading barrier to adoption is a lack of AI expertise, training, or skills, cited by 56% of respondents.

Other leading challenges include:

• Integration challenges with existing systems: 38%.

• No clear AI strategy or roadmap: 32%.

• Corporate data-security and privacy concerns: 29%.

• Data governance and access-management issues: 28%.

• High costs or budget constraints: 22%.

Compared with the previous year, cost concerns, uncertainty around ROI, organizational resistance, and lack of staffing have declined. This suggests that the sector’s focus is shifting away from whether AI is affordable and toward whether organizations have the skills, data, governance, and technology architecture needed to implement it effectively.

Vendor Solutions and Public Tools Shape Adoption

Hotel chains are increasingly relying on external technology providers and publicly available AI tools. In day-to-day work, external AI tools such as ChatGPT account for 60% of reported usage, while AI embedded in vendor systems accounts for a further 27%. Internally developed or hosted AI tools represent just 12% of use.

When asked about their overall implementation approach, 31% of hotel chains say they primarily rely on vendor-provided AI solutions, up from 21% in 2025. A further 25% use a hybrid approach combining internal and vendor solutions. The proportion still exploring its AI approach has fallen sharply, from 29% in 2025 to 12% in 2026.

“The findings underline the strategic role of hotel-technology vendors,” said Christin Haensel, Director at h2c. “Hotels do not simply need more AI features. They need connected systems, accessible and well-governed data, and interoperable platforms that enable AI to work reliably across commercial, operational, and guest-facing workflows.”

AI Agents and AI Booking Drive Expectations

The study points to growing interest in more autonomous and guest-facing AI applications. AI agents and bookings via AI platforms are the two most frequently cited areas of expected innovation over the next two years, each named by 70% of respondents.

Among organizations that are already using or planning to use AI agents, 70% say agents are used or planned for staff-facing applications, compared with 55% for guest-facing applications. The leading staff-facing opportunities are reporting and operational insights, finance and administrative automation, and internal communication and coordination. On the guest-facing side, respondents see the greatest value in upselling and cross-selling offers, handling booking requests, and responding to guest inquiries.

However, hotel chains remain cautious about autonomous decision-making in guest interactions. The most common concerns include unclear liability in the event of AI errors (56%), data privacy and security (54%), guests’ willingness to share the necessary personal data (53%), and concerns over accuracy, reliability, and potential bias in AI outputs (52%).

Direct Booking Potential and AI Visibility

AI-driven discovery and booking channels are also becoming a strategic priority. Seventy percent of respondents expect AI-driven booking channels, including platforms such as ChatGPT and Gemini, to increase direct booking volume over the next one to two years: 47% anticipate a moderate increase and 23% a significant increase.

Despite this expectation, only 22% of hotel chains systematically monitor how their brand or properties appear in AI-generated search and recommendation results. Another 48% monitor this occasionally, while 20% do not monitor it at all and 10% are unsure.

The study finds that hotel chains are beginning to pursue answer-engine optimization, generative-engine optimization, structured data, and real-time availability and booking capabilities. But 33% have not yet implemented any specific measures to improve visibility and bookability in AI-driven channels.

About the Study

h2c’s AI Opportunity Study 2026: Real Wins for Guests, Staff, and Hotel Operators examines AI adoption, implementation models, business outcomes, barriers, AI agents, data readiness, guest personalization, AI search visibility, and future technology priorities among hotel chains worldwide. Supported by eight hospitality technology sponsors, the research also analyzes 230 implemented AI use cases shared by participating hotel chains, providing detailed practical insight into current applications across hospitality.

The research is based on 122 responses from 113 unique hotel chains, comprising 101 online survey responses and 21 executive interviews. Participating hotel chains operate across Europe, the Middle East and Africa, Asia Pacific, and the Americas. The overall results are based on responses and are not weighted by hotel-chain size.

The Hotel Chain Tech Report, a publicly available extract of h2c’s full AI Opportunity Study 2026, is available for download at h2c.de. It highlights selected key findings for the wider hospitality industry and is intended to support education, discussion, and informed decision-making around AI adoption. The complete study is available exclusively to study sponsors. Participating hotel chains receive an executive summary of the findings.

The study was made possible by its sponsors (in alphabetical order): Apaleo, Aven Hospitality, Busy Rooms, Cendyn, dailypoint, D-EDGE, Shiji, and Sirma Travel & Hospitality.

Media Contact

Michaela Papenhoff

Managing Director [email protected]