Walk into almost any hotel or restaurant this summer and you will likely hear the same complaint from management: there simply are not enough hands. Front desks are short a person, housekeeping carts sit unassigned, and the help wanted sign has become a permanent fixture instead of a temporary one. To catch up, more hospitality employers are turning to AI, using automated screening tools and algorithm driven applicant tracking systems to sort through resumes faster than any recruiter could alone.
The pressure behind that shift is real. A 2026 survey by the American Hotel and Lodging Association found that 65 percent of hotels are dealing with staffing shortages, and 71 percent say they have open roles they simply cannot fill, even while actively recruiting, with the average property trying to fill six or seven positions at once. U.S. government labor data shows accommodation and food services posted a 5.7 percent quits rate in May 2026, nearly three times the 1.9 percent quits rate across the wider economy. Housekeeping and front desk positions are consistently among the hardest hit.
Where the algorithm runs out of judgment
AI screening tools are genuinely useful at handling volume. They can read thousands of applications, flag availability conflicts, and rank candidates against a job description in seconds. But hospitality recruiting experts have started pointing out a real cost to leaning on algorithms alone. Applicant tracking systems reward resumes that are formatted and worded a certain way, and candidates who do not play that game, or who trained and worked in a different country with different resume conventions, job titles, and reference formats, can get filtered out before a human ever sees their name.
That risk matters more, not less, as hotels widen their search internationally to solve staffing gaps. A chef trained in an Italian culinary institute or a hotel manager who came up through a family run property in Tuscany may have exactly the skills a U.S. hotel needs, but their resume will not necessarily match the keyword patterns an algorithm was trained to reward. Screening technology built for a domestic labor market can quietly work against the very candidates who could solve an employers hardest to fill roles.
Why we still hire the old fashioned way, on purpose
This is the gap we exist to close. Every candidate in our network goes through direct human evaluation: real conversations, reference checks with people who actually worked alongside them, and an honest read on whether someone will thrive in a specific kitchen or front desk, not just whether their resume clears a filter. We use technology to move faster where it genuinely helps, coordinating documents, scheduling, and visa paperwork, but the judgment about who is actually a great fit for a role stays human, because that judgment is exactly what algorithms still get wrong.
The hotels and restaurants that win the staffing race over the next few years probably will not be the ones that automate hiring completely, or the ones that refuse to use any technology at all. They will be the ones that use AI to handle the repetitive work and free up humans to do what only humans can do: actually get to know a candidate.
Data referenced from the American Hotel and Lodging Associations 2026 staffing survey and U.S. Bureau of Labor Statistics figures, as cited by SorsX and eHotelier.
Hiring for hospitality is still, at its core, a human business. It should be hired for by humans too.