AIHA 2026 Member Survey Report
Themes, stakeholder priorities, engagement patterns, and implications for the future of AI in hospitality
Executive Summary
The AI Hospitality Alliance (AIHA) member survey shows a market that is highly interested in AI, but hungry for practical guidance. Respondents are not asking for abstract AI commentary. They want a trusted convening body that can separate signal from noise, translate technology into hotel operations, and help the industry create shared standards before fragmentation hardens.
AIHA is being asked to become a de facto authority rather than another source of generic AI benefits; Hoteliers want help moving with the pace of innovation as smoothly as possible; and clarity plus broad automation remain important technology-vendor asks.
- AI trend leadership is the clearest demand: 78 of 100 respondents selected staying ahead of AI trends as a reason to engage with AIHA.
- The survey audience is broad but concentrated in four stakeholder groups: Technology Vendors, Hoteliers, Consultants, and Academics account for 90 of 100 responses.
- The dominant frustration is the distance between AI promises and operational value, reinforced by concerns about fragmented systems, weak standards, and uneven readiness.
- The strongest aspiration is for AIHA to become a practical, trusted knowledge hub: standards, case studies, education, benchmarking, and community are recurring asks.
- Engagement appetite is active rather than passive. Workshops, research participation, content contributions, and partnerships all drew high interest.
AIHA has permission from this respondent base to act as a translator and standard-setter: convene the ecosystem, identify credible use cases, publish practical guidance, and keep AI aligned with measurable hospitality outcomes.
Survey Purpose and Respondent Base
The survey is designed to understand what hospitality AI stakeholders need from AIHA: what they hope to gain, how they prefer to participate, what frustrates them most about AI in hospitality today, and what they would change if they had a 'magic wand' for the future.
Respondents included technology vendors, hoteliers, consultants, academics, investors, media, and other industry participants. Email addresses were excluded from the analysis and report outputs; results are presented in aggregate.
What Respondents Want From AIHA
The highest-priority needs are intellectual leadership and practical translation. Respondents want AIHA to track fast-moving AI trends, provide applicable use cases, publish high-quality research, and create venues where stakeholders can shape the industry's direction together.
Preferred Engagement Model
Engagement preferences reinforce that the audience wants a working alliance, not only a newsletter. Workshops, research participation, content contributions, and partnerships all drew high interest. Partnership and sponsorship interest is smaller but still meaningful, with 39 respondents selecting it.
Biggest Frustrations: What Is Holding the Field Back
The frustration responses are not anti-AI. They are anti-confusion. Across stakeholder groups, respondents describe a market crowded with AI claims, immature integrations, uncertain governance, and limited evidence of measurable hotel outcomes.
The heatmap shows that each stakeholder type is worried about a slightly different version of the same problem. Vendors emphasize standards, distribution power, and practical credibility. Hoteliers emphasize operating reality and the gap between vendor promises and guest/employee usefulness. Consultants concentrate on value clarity, readiness, and implementation. Academics most often frame the challenge as education, guidelines, and responsible use.
Magic Wand Aspirations: The Future Respondents Want
The magic wand question shifts the tone from frustration to constructive ambition. Respondents repeatedly imagine AIHA as an industry platform that sets standards, teaches practical use, convenes stakeholders, and anchors AI adoption in measurable hospitality value.
The overall bubble diagram shows the center of gravity: standards and interoperability, practical use cases, trusted education, and collaboration. The survey base wants AIHA to make AI less abstract and more operationally usable.
Stakeholder-Specific Implications
The survey points to a clear founding mandate: AIHA should help hospitality move from fragmented AI excitement to practical, trusted, measurable adoption.
Methodology
The analysis is based on 100 founding-member survey responses collected April 24–May 6, 2026. Email addresses were removed before analysis, and all results are reported in aggregate.
Multi-select fields (member goals and engagement preferences) were split on semicolons and each selected option was counted once per respondent, so reported percentages reflect the share of respondents choosing an option rather than a share of total selections. The two open-ended questions were analyzed on the responses actually provided: 82 of 100 respondents answered the “biggest frustration” question and all 100 answered the “magic wand” question. Responses were coded with keyword-based theme dictionaries built from the survey’s own language, and a single response could contribute to multiple themes when it clearly referenced multiple topics.
Sentiment scoring used a transparent positive/negative lexicon rather than a trained machine-learning model, and should be interpreted directionally — as a relative signal of tone across groups and themes — rather than as a statistically validated emotion measure.
The four analyzed stakeholder groups — Technology Vendor, Hotelier, Consultant, and Academic — account for 90 of the 100 responses. The remaining 10 responses (Other, Investment Company, and Media) are included in whole-dataset counts and visuals where appropriate, but the dedicated comparison diagrams focus on the four requested groups.