A compiled reference of 35 verified statistics on artificial intelligence in hotels: how many properties are piloting or running it, what share of IT budget it takes, which functions it is used for (guest messaging, revenue management, housekeeping and operations, back office), how far hoteliers trust it to act without a human, what travelers say they want from it, and the staffing and margin pressure underneath the adoption curve. Every figure is drawn from a named public source (AHLA, Hospitality Technology, Canary Technologies, Mews, Wyndham, Amadeus, Duetto, Hotel Tech Report, Cornell, Deloitte, PwC, Oracle, SiteMinder) and independently checked against the original before publishing.
Key statistics
8 highlights from this report
Key statistics
Key takeaways
Hotel AI adoption in 2026 is wide but shallow: nearly every hotelier has touched it, about half have formalized it, budgets are real, guest messaging and revenue management lead, and trust in unsupervised AI is still a minority position. Underneath sits a labor market that has not recovered.
51% of hoteliers are piloting or have adopted AI in 2026.
98% of hoteliers used AI in operations in the last six months; it touches 11 of 19 common hotel tasks.
85% will put at least 5% of IT budget into AI in 2026; 58% more than 10%.
Average AI spend earmarked per hotel in 2026: $320,000, or $400,000 in the US.
Guest communications is the top AI impact area for 58% of hoteliers; 92% have or plan AI-assisted messaging.
Only 40% of hotel owners are comfortable with AI acting without human oversight.
41% of hoteliers have no formal AI policy; trust runs 92% with a policy vs 49% without.
65% of US hotels report staffing shortages; housekeeping is the most-cited gap at 38%.
How we built this report
Every figure was compiled in August 2026 from named public sources, read at the original, and checked before publishing.
- Compiled from primary sources
Association surveys (AHLA), trade research (Hospitality Technology's Lodging Technology Study, Hotel Tech Report), vendor surveys with published sample sizes (Canary Technologies, Mews, Amadeus, SiteMinder) plus one vendor survey without one (Duetto, flagged where used), a brand owner survey (Wyndham, fielded by Wakefield Research), consulting outlooks (Deloitte, PwC), academic research (Cornell), and press releases carrying the primary numbers.
- Only explicitly stated figures
We include only numbers a named source states directly, and attribute each inline at the point it appears, with the sample size wherever the source publishes one.
- Disagreements shown, not averaged
"How many hotels use AI" gets three very different answers depending on the question asked. We show all three side by side rather than blending them.
- Independent review
Written by one co-founder, reviewed by the other before publishing.
Most of these are self-reported survey figures, several from technology vendors surveying their own market (Canary Technologies, Mews, Duetto, Amadeus, SiteMinder are vendors; AHLA, Cornell, Deloitte, PwC, Hotel Tech Report, Hospitality Technology, and Wyndham are not selling the tools they ask about). Sample sizes are stated where the source publishes them. Treat vendor headline numbers as directional and confirm against the original before citing in a decision.
Hotel AI adoption, by the numbers
All 35 figures, grouped by theme, each from a named public source and independently verified.
How many hotels use AI
The answer depends on the verb. According to Canary Technologies' 2026 report (canarytechnologies.com), a survey of 404 people responsible for IT purchasing at hotels across North America, EMEA and APAC, 51% of hoteliers are piloting or have adopted AI. According to Mews' 2026 Hotelier Survey (mews.com), fielded across more than 500 properties, 98% of hoteliers have used AI across their operations in the last six months, and it is involved in 11 of the 19 most common hotel tasks. According to Wyndham's 2026 Owner Trends Report (wyndhamhotels.com), a Wakefield Research survey of 325 hotel owners and developers not limited to Wyndham brands, 98% have begun incorporating AI, but only 32% say it is embedded across most of their operations.
Statistic 1
51% of hoteliers are piloting or have adopted AI.
Canary Technologies (hotel guest-tech vendor), survey of 404 hotel IT decision-makers, as reported by Hotel Dive (2026)
Statistic 2
98% of hoteliers have used AI across their operations in the last six months; on average it is involved in 11 of the 19 most common hotel tasks and handles more than half the workload in those tasks.
Mews (PMS vendor) Hotelier Survey, 500+ properties, Dec 2025 to Mar 2026 (2026)
Statistic 3
98% of hotel owners say they have begun incorporating AI, but only 32% say it is embedded across most of their operations and 73% want to do more but feel overwhelmed about where to start.
Wyndham Owner Trends Report, 325 owners and developers, Wakefield Research (2026)
Statistic 4
71% of hospitality professionals say AI is having a significant or transformative impact on the industry, and 82% expect AI usage across their organization to increase within the next year.
Canary Technologies (hotel guest-tech vendor), 404 hotel technology decision-makers (2026)
Statistic 5
A year earlier, 73% of hoteliers believed AI would have a significant or transformative impact and 61% said it was already impacting the industry or would within a year.
Canary Technologies, 325+ hospitality professionals (January 2025)
Statistic 6
62% of Asia-Pacific hoteliers are piloting or have adopted AI, while only 32% of budget-segment respondents use AI today; luxury shows the broadest deployments.
Canary Technologies, as reported by Travolution (2026)
Statistic 7
Only 24% of hotels believe they use AI better than their competitors.
Hospitality Technology, 2026 Lodging Technology Study (2026)
What this means: "Do you use AI" is close to universal because a chatbot draft or a spreadsheet assistant counts. "Have you formally adopted it" is roughly half. "Is it embedded across the operation" is a third. The 24% figure is the tell: most hoteliers do not think they are ahead, which is consistent with broad, shallow use.
Budgets and investment
The money has moved from experiment to line item. According to Canary Technologies (canarytechnologies.com), 85% of hoteliers expect to allocate at least 5% of their IT budget to AI tools in 2026, and 58% will devote more than 10%, compared with 77% who planned to allocate between 5% and 50% a year earlier. According to Amadeus' Travel Dreams 2026 research (amadeus.com), which surveyed 500 hoteliers at general-manager level and above across nine countries, only one of the 500 is not planning to invest in AI in 2026, and the average spend earmarked per hotel is $320,000, rising to $400,000 in the United States, focused on revenue intelligence, forecasting, automation, and chatbots.
Statistic 8
85% of hoteliers expect to allocate at least 5% of their IT budget to AI tools in 2026.
Canary Technologies (2026)
Statistic 9
58% of hoteliers will devote more than 10% of their IT budget to AI in 2026.
Canary Technologies, as reported by Hotel Dive (2026)
Statistic 10
In 2025, 77% of hoteliers planned to allocate between 5% and 50% of their IT budgets to AI tools.
Canary Technologies (January 2025)
Statistic 11
Only one hotelier out of 500 surveyed is not planning to invest in AI in 2026; the average spend earmarked per hotel is $320,000, rising to $400,000 in the United States.
Amadeus (hospitality technology vendor) Travel Dreams 2026, 500 hoteliers GM and above, fielded by Opinium (2026)
Statistic 12
54.5% of hoteliers planned to purchase a revenue management system in 2025 and 61.1% aimed to increase their technology budgets.
Duetto hospitality trends survey (2025)
Statistic 13
The top priorities driving hotel tech investment are improving the guest experience (52%), increasing efficiencies (52%), increasing revenue (51%), and reducing costs (45%).
Canary Technologies, as reported by Hotel Dive (2026)
What this means: AI is no longer competing for a discretionary slice; a majority of hoteliers now plan to put more than a tenth of IT spend behind it, and the Amadeus per-hotel figure suggests the money is being planned at property level, not just at brand headquarters.
Where hotels use AI: by function
Guest communication and revenue lead; operations follows. According to Canary Technologies (canarytechnologies.com), 58% of hoteliers say guest communications will be the highest-impact AI area in 2026, 45% of hotels run AI-powered webchat agents, and 92% have adopted or plan to adopt AI-assisted guest messaging. According to Duetto's 2025 trends survey (duettocloud.com), a revenue-management vendor survey with no published sample size, 86.1% of hoteliers rate predictive forecasting and demand analytics as AI's most impactful revenue-management feature, with dynamic pricing at 69.4% and competitive intelligence at 58.3%. On the operations side, Wyndham's owner survey found operational efficiency the most common AI use at 64%, and Amadeus' Travel Dreams 2026 research, as reported by Hotel News Resource (hotelnewsresource.com), found around 60% of hoteliers use or plan to use AI for predictive housekeeping and room assignment.
Statistic 14
58% of hoteliers say guest communications will be the highest area of AI impact in 2026.
Canary Technologies, as reported by Hotel Dive (2026)
Statistic 15
45% of hotels run AI-powered webchat agents and 92% have adopted or plan to adopt AI-assisted guest messaging.
Canary Technologies, as reported by Travolution (2026)
Statistic 16
Among hotel owners already using AI, the most common uses are operational efficiency (64%), energy efficiency (54%), and revenue optimization (53%).
Wyndham Owner Trends Report (2026)
Statistic 17
In Duetto's 2025 revenue-management survey, predictive forecasting and demand analytics (86.1%), dynamic pricing (69.4%), and competitive intelligence (58.3%) were the AI features respondents rated most impactful; Duetto does not publish the sample size.
Duetto (revenue-management vendor) hospitality trends survey, sample size not published (2025)
Statistic 18
Around 60% of hoteliers currently use or plan to use AI for predictive housekeeping and room assignment.
Amadeus Travel Dreams 2026, as reported by Hotel News Resource (2026)
Statistic 19
49% of hoteliers want their PMS vendor to prioritize AI-powered automation and personalization next, ahead of faster integrations (45%) and flexible dashboards (42%).
Hotel Tech Report, 2026 PMS Impact Study, 450 hotel professionals (2025)
Statistic 20
Among the most AI-proficient hotels, 52% identify revenue growth as the primary outcome they want AI to support, ahead of efficiency or cost reduction.
Mews Hotelier Survey (2026)
Statistic 21
94% of hoteliers see moderate to great potential in AI for business analytics, and 82% in generative AI for marketing and social media.
Hospitality Technology, 2026 Lodging Technology Study (2026)
Statistic 22
In hospitality call centers, AI has reduced call abandonment by 6 to 8 percent, increased reservation conversion by 25 to 35 percent, cut call volume by 20 to 30 percent, and reduced average handle time by 15 to 25 percent.
PwC analysis, Emerging Trends in Real Estate 2026 hospitality outlook (2025)
What this means: the functions with clean, structured inputs (a message thread, a demand curve) adopted first and now show measured results. Housekeeping and back-of-house are the next wave: a majority plan to use AI there, but the "plan to" is doing a lot of work in that 60%. For what that wave looks like in practice, see how hotels use AI in housekeeping.
Trust, governance, and barriers
Optimism is high and supervision is non-negotiable. According to Mews (mews.com), 92% of hoteliers are optimistic about AI and 83% trust AI tools to support decision-making, but 41% have no formal AI policy; properties with a formal policy report 92% strong trust in AI against 49% among those with none. According to Wyndham's owner survey (wyndhamhotels.com), only 40% of owners are comfortable with AI making operating decisions without human oversight, and the top barriers to adopting more are data privacy and security (46%), the cost of AI tools (42%), and legacy-system integration (40%). Canary's IT decision-makers named two of the same obstacles, data security and privacy (43%) and integration (40%), plus staff training (38%).
Statistic 23
92% of hoteliers are optimistic about AI in hospitality and 83% trust AI tools to support decision-making, but 41% have no formal AI policy; those with a policy report 92% strong trust versus 49% without.
Mews Hotelier Survey (2026)
Statistic 24
Only 40% of hotel owners are comfortable with AI making operating decisions without human oversight; 57% require human oversight to be comfortable.
Wyndham Owner Trends Report (2026)
Statistic 25
59% of hoteliers say the front-desk welcome and check-in should stay human-led.
Mews Hotelier Survey (2026)
Statistic 26
Hotel owners' top barriers to adopting more AI are data privacy and security (46%), the cost of AI tools (42%), and difficulty integrating with legacy systems (40%).
Wyndham Owner Trends Report (2026)
Statistic 27
Hotel IT decision-makers cite data security and privacy (43%), integration challenges (40%), and staff training (38%) as the main obstacles to AI adoption.
Canary Technologies, as reported by Travolution (2026)
What this means: the design constraint for any AI in a hotel is a human in the loop and a written policy. The Mews trust split (92% with a policy, 49% without) is the most useful number on this page for anyone deploying AI to a hotel team: governance is not paperwork; in Mews' data it is the single strongest correlate of staff trusting the output.
What guests and travelers want
Guests welcome AI for simple tasks and reject it as a replacement for people. According to Hotel Tech Report's guest technology survey (hoteltechreport.com) of 402 recent hotel guests, 58% believe AI can improve their hotel stay and 70% find chatbots helpful for simple inquiries. According to SiteMinder's Changing Traveller Report (siteminder.com), surveying 12,000 travelers across 14 markets, 78% of travelers want to use AI at some point during their accommodation journey, but only 12% want machines to manage all hotel functions. According to Cornell's Center for Hospitality Research (cornell.edu), as published via Hospitality Net, surveying 1,029 US travelers in 2026, AI ranks fourth among planning tools and accuracy concerns are the single biggest barrier, cited by more than 60%. Oracle Hospitality's 2022 study with Skift (oracle.com), the widely cited baseline, found 77% of travelers interested in chatbots for hotel service requests and 74% interested in AI-tailored offers.
Statistic 28
58% of hotel guests believe AI can improve their hotel stay, and 70% find chatbots helpful for simple inquiries.
Hotel Tech Report, State of Hotel Guest Technology, 402 hotel guests (2026)
Statistic 29
78% of travelers want to use AI at some point during their accommodation journey, but only 12% want machines to manage all hotel functions.
SiteMinder Changing Traveller Report 2025 edition, 12,000 travelers, 14 markets (2024)
Statistic 30
Only 4% of travelers start hotel discovery with AI (up from 1% a year earlier), yet 80% want AI-powered capabilities, led by price monitoring and alerts (44%).
SiteMinder Changing Traveller Report 2026, 12,000 travelers, as reported by Hospitality Net (2025)
Statistic 31
AI ranks fourth among travelers' planning tools, behind search engines, review sites, and hotel websites; more than 60% cite accuracy concerns as the biggest barrier.
Cornell Center for Hospitality Research, 1,029 US travelers, via Hospitality Net (2026)
Statistic 32
Nearly a quarter of travelers used generative AI tools for trip planning in late 2025, three times as many as in 2022.
Deloitte 2026 Travel Industry Outlook (2026)
Statistic 33
77% of travelers are interested in using automated messaging or chatbots for customer service requests at hotels, and 74% in hotels using AI to tailor services and offers.
Oracle Hospitality and Skift, 5,266 consumers and 633 hotel executives (2022)
What this means: the guest data and the hotelier data agree: automate the routine, keep the welcome human. The accuracy concern from Cornell is the guest-side twin of the hotelier-side trust gap, and it points at the same fix, verified outputs a person can check.
The labor and margin context
Adoption is happening against a labor market that has not recovered. According to the American Hotel & Lodging Association (ahla.com), surveying 282 hoteliers in December 2024 and January 2025, 65% of hotels report staffing shortages and 71% have openings they cannot fill, with housekeeping the most-cited shortage at 38% and hotel employment still nearly 10% below pre-pandemic levels. AHLA's 2026 State of the Industry report projects the workforce growing by more than 30,000 jobs to about 2.2 million while gross operating profit per available room sits at roughly 90% of 2019 levels because of rising operating expenses.
Statistic 34
65% of surveyed US hotels report staffing shortages and 71% have job openings they cannot fill; housekeeping is the most-cited shortage (38%), followed by front desk (26%).
AHLA and Hireology Front Desk Feedback survey, 282 hoteliers, Dec 2024 to Jan 2025 (2025)
Statistic 35
The US hotel workforce is projected to grow by more than 30,000 jobs in 2026 to approximately 2.2 million, while GOPPAR sits at roughly 90% of 2019 levels due to rising operating expenses.
AHLA 2026 State of the Industry (2026)
What this means: the department with the largest unfilled headcount is housekeeping, and the margin gap is expense-driven, which is one reason operational uses (housekeeping, room readiness) are the most-planned next step in the Amadeus and Wyndham data. Our guide to AI in hotel quality control covers what that looks like on the floor.
Cite this study
Academic or press use: copy a ready-made reference. RapidEye is the publisher.
Quick FAQ
What percentage of hotels use AI in 2026?
It depends on how the question is asked. Canary Technologies' 2026 survey of 404 hotel IT decision-makers found 51% are piloting or have adopted AI. Mews' 2026 survey of more than 500 properties found 98% of hoteliers had used AI across their operations in the last six months. Wyndham's 2026 survey of 325 hotel owners found 98% have begun incorporating AI, but only 32% say it is embedded across most of their operations. Read the low figure as formal adoption and the high figures as any use at all.
How much are hotels budgeting for AI?
According to Canary Technologies' 2026 report, 85% of hoteliers expect to allocate at least 5% of their IT budget to AI tools and 58% will devote more than 10%. Amadeus' Travel Dreams 2026 survey of 500 hoteliers found an average AI spend earmarked per hotel of 320,000 dollars, rising to 400,000 dollars in the United States, with only one of the 500 not planning to invest.
Where are hotels using AI most?
Guest communication and revenue. 58% of hoteliers named guest communications the highest-impact area for 2026 (Canary), 92% have adopted or plan to adopt AI-assisted guest messaging, and 45% run AI webchat agents. In revenue management, Duetto's 2025 survey found predictive forecasting (86.1%) and dynamic pricing (69.4%) rated the most impactful AI features. In operations, Wyndham's owner survey found operational efficiency (64%) the most common AI use, and Amadeus reports around 60% of hoteliers use or plan to use AI for predictive housekeeping and room assignment.
Do hoteliers trust AI to run operations without human oversight?
Mostly not yet. Wyndham's 2026 owner survey found only 40% comfortable with AI making operating decisions without human oversight, while 57% require a human in the loop. Mews found 83% of hoteliers trust AI tools to support decision-making, but 41% have no formal AI policy, and 59% say the front-desk welcome and check-in should stay human-led. Properties with a formal AI policy report 92% strong trust versus 49% among those with none.
Do hotel guests want AI?
For simple things, yes. Hotel Tech Report's guest survey of 402 recent hotel guests found 58% believe AI can improve their stay and 70% find chatbots helpful for simple inquiries. SiteMinder's traveler research found 78% want to use AI at some point in their accommodation journey, but only 12% want machines to manage all hotel functions. Cornell's 2026 survey of 1,029 US travelers found accuracy concerns are the biggest barrier, cited by more than 60%.
Data sources
Every figure on this page traces to one of these named public sources, each checked against the original before publishing. Sources are named at the publisher level with their root domain; report titles are described generically rather than reproduced.

