Ninety-one percent of hotel chains already run AI somewhere in the business, the AI Opportunity Study 2026 found, a survey of 122 responses from 113 chains spanning more than 8,200 properties and about 1.3 million rooms, conducted by the hospitality consultancy h2c1. Eight percent more plan to adopt it within two years. Thirteen percent of the chains that already use it report a measurable return on the money1.
Chart 1
91 percent of hotel chains already use AI, but just 13 percent report a measurable return
Share of surveyed hotel chains, in percent, from h2c's AI Opportunity Study 2026
Each bar is one measure from the same 113 chains: the magenta bar is chains already using AI, the gray bar is chains still planning to adopt it, and the blue bar is chains reporting a measurable return.
Source: Hotel Speak [1]. Chart by The AILately.com Desk.
The numbers behind this chart
| Item | Value |
|---|---|
| Already use AI | 91% |
| Plan to adopt within 2 years | 8% |
| Report a measurable return | 13% |
The easy reading treats 91 percent as proof the work itself already changed. Hospitality converted to AI faster than it converted to online booking or self-check-in kiosks, chain after chain checking the identical box inside two years. That reading counts a signed vendor contract, a line on a budget a chief technology officer approved. A changed job inside the chain is the separate question the adoption number leaves standing.
Bhanu Chopra, founder and managing director of RateGain, read his own firm's companion research the same way. "Buying AI is easy. Getting value from it is not, and this report shows most of the industry is still stuck between the two," Chopra said2. His verb, stuck, names a finished condition, the opposite of a transition still underway.
A second, independent survey found the same gap above the property level. Destination AI, a hospitality technology research firm, surveyed 107 hotel company leaders in August and September and found 24 percent saying their AI investment had paid for itself, with 28 percent calling it too early to tell4. The remaining 48 percent reported a cost that climbed faster than its return.
Hotels concentrate that uncertainty inside their own commercial teams. RateGain, HEDNA and NYU's School of Professional Studies surveyed that group for a companion study called State of Distribution 2026. More than 80 percent of those teams still spend one to two days a week producing and analyzing reports by hand, the study found23. Fewer than 30 percent have invested in dedicated reporting tools2.
Vanja Bogicevic is a clinical associate professor and director of the HI Hub Exchange at NYU's Tisch Center of Hospitality. She co-authored the research and traced the pattern to where chains point their AI first. "Hotels primarily use AI for tasks such as communicating with customers and writing emails," Bogicevic said3.
Size predicted the opposite of what the easy reading assumes. Mid-sized hotel chains report a 30-percent-or-more cut to commercial teams' manual workload at a rate of 14.29 percent, a breakdown of the same study found3. Large chains report that same cut at a rate of 4.55 percent, less than a third as often3. Olena Ciftci, another NYU co-author, traced the gap to organization rather than budget. "Mid-sized chains report comparatively strong cross-functional alignment with high report automation, growing teams, and relatively mature AI governance because they are smaller companies and they have a relatively agile type of decision making," Ciftci said3.
Chart 2
14.29 percent of mid-sized chains cut manual work 30 percent, against 4.55 percent of large chains
Share of hotel chains cutting commercial teams' manual workload 30 percent or more, by chain size, State of Distribution 2026
Each column is one chain-size group: the magenta column is mid-sized chains, and the gray column is large chains.
Source: Washington Square News [3]. Chart by The AILately.com Desk.
The numbers behind this chart
| Item | Value |
|---|---|
| Mid-sized chains | 14.29% |
| Large chains | 4.55% |
Catherine Donaldson, director of marketing at the hospitality software vendor Canary Technologies, reads the same adoption wave as evidence the shift is already real. Her company's own March survey of 404 hospitality IT leaders found 85 percent planning to commit more than 5 percent of their IT budget to AI in 20265. Fifty-eight percent planned more than 10 percent5.
"Hoteliers gaining an edge today aren't just considering AI, they're building strategies and moving quickly to adopt it," Donaldson said5. Budget commitments point forward. What a guest or a revenue manager has already felt is a separate question.
Hotels met this shape of bargain once before. Airlines automated yield management in the 1980s. The practice spread to hotels and car rental chains by the early 1990s, a history of the field records6. This software priced the room each night. A chain still needs a person to decide what that price means for the business carrying it.
Someone pays for the gap between a 91 percent adoption rate and a 13 percent return. Vendors collect the subscription regardless of whether a report ever gets automated. Chains report the spending as progress on an earnings call, independent of the return. The revenue manager still filing a report by hand carries the risk. That risk sits in the gap between those two numbers, inside a job the adoption rate already counted as finished.
Ninety-one percent measures what a chain bought. Thirteen percent measures what the chain's own commercial team can prove it changed. Call the first number procurement and the second number proof. Hospitality still owes the balance standing between those two numbers, a balance the adoption count already treated as settled. The Signal, AI Lately's daily email brief, tracks where that balance lands next, with a signup waiting at the bottom of this page.
Sources
- Staff, "New h2c Study: AI Adoption Is Widespread Among Hotel Chains, but Enterprise Readiness Remains Limited," Hotel Speak, Oct. 2, 2026, https://www.hotelspeak.com/2026/10/new-h2c-study-ai-adoption-is-widespread-among-hotel-chains-but-enterprise-readiness-remains-limited/
- Staff, "More Than 50% of Hotels Use AI, but Under 10% See Real Impact, Finds State of Distribution 2026 Report from RateGain, NYU SPS and HEDNA," NYU School of Professional Studies, Sept. 15, 2026, https://www.sps.nyu.edu/about/news-and-ideas/articles/press-releases/2026/more-than-50-of-hotels-use-ai-but-under-10-see-real-impact-rategain-nyu-sps-hedna.html
- Sophie Brunner, "Most hotels use AI, but under 10% do less work, SPS researchers find," Washington Square News, Oct. 1, 2026, https://nyunews.com/2026/10/01/ai-hotel-professional-studies-sps
- Swasti Sharma, "Hotels are adopting more AI every day. Will it pay off?," HOTELSMag.com, Oct. 1, 2026, https://hotelsmag.com/news/hotels-are-using-more-ai-every-day-now-they-need-to-prove-it-pays-off/
- Jenna Graber, "Can increased AI investment in 2026 give hoteliers a competitive edge?," Hotel Dive, March 23, 2026, https://www.hoteldive.com/news/hotel-industry-artificial-intelligence-investment-2026/815349/
- Wikipedia contributors, "Yield management," Wikipedia, accessed Oct. 6, 2026, https://en.wikipedia.org/wiki/Yield_management