Only 15% say AI has improved frontline hotel work, AHLA and Actabl report finds

Eighty-four percent of respondents in a new hotel industry survey say AI has improved their own work. Only 15% say it has improved frontline work.

The American Hotel & Lodging Association and hospitality software company Actabl released the figures on Nov. 4 and presented the report at The Hospitality Show. The report is titled "AI and the Hotel Workforce." Its subtitle promises a look at how technology supports people and improves hotel operations. Its main argument is that AI is most valuable when it supports hotel staff, not when it replaces them. According to the report, AI does the most good by enabling the hotel workforce, and it should not serve as a substitute for critical hospitality labor.

The report identifies that gap as one of the industry's biggest opportunities. Hotel Dive, which covered the release, took the disparity to mean that AI for guest-facing roles is where that opportunity could sit.

The spread between the two figures is 69 points. That is the central question for operators. The survey suggests AI has so far reached the people who plan hotel work much more than the people who deliver it. The rest of the report's evidence, on labor hours and turnover, shows what that planner-first phase has produced.

Speed first, revenue second

Nine in 10 respondents say AI gets routine work done faster. When asked where it delivers the most value, 38% picked operational efficiency, compared with 28% for revenue growth.

Efficiency leads revenue by 10 points. That suggests respondents mostly measure AI's payoff in time saved, not in rate or demand gains. It also fits the report's subject matter. The evidence it offers is about labor hours and retention, not top-line results.

The uses the report names are mostly about planning and information: scheduling, forecasting, onboarding, and finding the right procedure at the moment it's needed. In each case, the report says, AI can help teams find information more quickly and start planning sooner, which frees their time for the guest moments that stay in memory. The report suggests hotel leaders ask a different question. Instead of asking which jobs AI can do, they should ask which tasks it can take off employees' plates so they do their own jobs better.

Actabl CEO Steven Moore placed the benefit with managers. "Managers make better decisions when they have better information," he said. He added that managers who no longer have to chase down updates gain more time to support each other. His framing matches the survey's split. If the first payoff goes to the people making staffing and planning decisions, that could explain why so few respondents see frontline work improving yet.

Fewer labor hours as occupancy rose

Among hotels that use Actabl's Hotel Effectiveness tool, hours per occupied room dropped 3.1% at full-service properties and 3.5% at select-service properties in the first half of 2026, even as occupancy rose. The report says this points to tighter alignment between staffing and workload.

Both service tiers moved in the same direction by similar amounts. The select-service drop was slightly larger. That suggests the effect is not limited to one hotel format, even though the operating models differ. The two segments improved by about the same margin over the same six months.

Front-office and housekeeping teams care most about where those hours end up. According to the report, seeing demand earlier lets managers build steadier schedules and move spare hours toward training, deep cleaning, preventive maintenance or guest service. Neither the HPOR figures nor the turnover data are broken out by department or role, so they can't show whether any one team, such as the front desk, gained or lost hours.

Scope matters here. The HPOR results describe hotels that already run Actabl's labor software, measured by the company that co-wrote the report. That makes them a reasonable benchmark for properties using similar workforce tools and a weaker guide to the industry as a whole, especially hotels still scheduling from spreadsheets.

A third straight year of lower June turnover

In June 2026, hotel turnover stood at 5.35%. That compares with 5.84% a year earlier in June 2025 and 6.07% in June 2024. The numbers come from a HotelData.com analysis of Actabl data that the report cites.

The pace has picked up. Turnover fell 0.23 points from June 2024 to June 2025, then 0.49 points in the year to June 2026, which makes the latest decline about twice as large. Over two years, the June rate is down 0.72 points.

The report ties earlier visibility into demand to more predictable schedules. For hotel employees, it says, that predictability can mean leaving on time and arranging life around childcare, school and family commitments. The report describes this as the type of stability that holds people in the industry for years. The mechanism is plausible. But the report doesn't split the decline among schedule predictability, pay, staffing levels or local labor markets.

The 15% figure to watch

AHLA President and CEO Rosanna Maietta said the time AI gives back lets employees support their colleagues and solve problems.

The report points to frontline work as AI's next opportunity. That puts the burden on tools that help guest-facing staff directly, rather than indirectly through a better schedule or a sharper forecast.

For operators tracking results, a rise in the 15% frontline figure while the HPOR gains hold could suggest the report's view is playing out. If frontline sentiment stays flat as manager tools spread, hotel AI stays mostly a back-office efficiency tool, which is useful but still short of the guest-facing gains the report is aiming for.