Respondents cite fragmented systems and a gap between AI promises and real-world value as major challenges and call for more collaboration, education, and measurable outcomes in AI adoption across the hospitality industry.
Survey Overview and Respondent Profile
The AI Hospitality Alliance (AIHA) conducted a member survey in April–May 2026 to understand stakeholders’ needs and priorities regarding artificial intelligence in the hospitality sector. The survey received 100 responses from a diverse group, including technology vendors (27%), hoteliers (26%), consultants (23%), academics (14%), and a smaller number from investment companies, media, and other roles.
The purpose was to identify stakeholders’ expectations of AIHA, how they want to engage, their main frustrations with AI in hospitality, and their aspirations for the future. Email addresses were excluded from analysis to maintain anonymity, and results are reported in aggregate.
Key Findings: Stakeholder Needs and Aspirations
Survey results indicate a strong demand for AIHA to provide leadership on AI trends and deliver practical, actionable guidance. The majority of respondents (78%) want AIHA to help them stay ahead of AI trends shaping the hospitality industry. Other top priorities include contributing to the industry’s future (66%), learning about practical AI use cases (65%), accessing high-quality research (60%), and connecting with peers and leaders (59%).
Respondents are less interested in abstract discussions about AI and more focused on how to apply technology in real hotel operations. There is a clear call for AIHA to become a trusted knowledge hub that offers standards, case studies, education, benchmarking, and opportunities for community engagement.
Engagement Preferences
The survey shows that stakeholders prefer active involvement over passive information consumption. The most popular engagement modes are attending events or workshops (71%), participating in research or surveys (66%), and contributing content or insights (61%). While 58 respondents are interested in staying informed, a significant number (39%) also express interest in partnerships or sponsorships.
This pattern suggests that the audience wants to be part of a working alliance that shapes the direction of AI in hospitality, rather than simply receiving updates.
Main Challenges: Frustrations with the Current AI Landscape
Stakeholders report several frustrations with the current state of AI in hospitality. The most common concerns are the gap between AI hype and real operational value, difficulties keeping pace with technological change, fragmented systems, and inconsistent standards. Other issues include readiness for adoption, the impact on guests and staff, trust and governance, and workforce training.
Each stakeholder group has its own focus: – Technology vendors emphasize the need for standards and credible use cases. – Hoteliers are concerned about practical implementation and the usefulness of AI for guests and employees. – Consultants focus on clarity of value, readiness, and effective implementation. – Academics highlight the need for education, guidelines, and responsible use.
Aspirations for the Future: What Stakeholders Want AIHA to Achieve
When asked about their ideal future for AI in hospitality, respondents consistently envision AIHA as a platform for setting industry standards, providing practical education, and fostering collaboration. The most frequently mentioned aspirations are for AIHA to become a trusted knowledge hub (41 mentions), to improve the guest experience and operations (31), and to facilitate collaboration and community (29).
Other key themes include improved data and analytics, common standards and interoperability, practical use cases with measurable return on investment, responsible AI practices, workforce training, and sustainable AI infrastructure. The overall sentiment is constructive, with stakeholders seeking ways to make AI more operational and less abstract.
Implications for AIHA and the Industry
The survey results provide a clear mandate for AIHA. Stakeholders expect the organization to:
– Act as a translator and standard-setter for AI in hospitality
– Convene the ecosystem and identify credible use cases
– Publish practical guidance and case studies – Align AI adoption with measurable business outcomes
Specific recommendations by stakeholder type include:
– For technology vendors: Develop interoperability working groups and vendor-neutral guidance
– For hoteliers: Focus on operational case studies and implementation checklists
– For consultants: Build benchmarking tools, maturity models, and practitioner forums
– For academics: Create teaching cases and research collaboration pathways
Methodology
The survey was conducted among 100 founding members of AIHA between April 24 and May 6, 2026. Respondents answered both multiple-choice and open-ended questions. The analysis used keyword-based theme coding and a simple sentiment lexicon to assess the tone of responses. The four main stakeholder groups accounted for 90% of responses, with the remainder included in aggregate analyses.
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