Ask any hotel general manager what keeps them up at night and staffing will come up before almost anything else. So it would be reasonable to assume that hotel HR teams are racing to hand hiring over to artificial intelligence as fast as the technology allows. A new 2026 survey of five hundred hotel HR leaders tells a more interesting story.
According to the report, commissioned by background screening company Checkr, twenty nine percent of hotel HR leaders say they have no current plans to use AI in hiring at all, the highest share of any industry the survey covered. Only five percent describe their AI adoption as advanced, compared with sixteen percent across all industries surveyed. Hospitality, it turns out, is not behind the curve by accident. It is choosing caution.
The Trust Gap Behind the Caution
The same survey found that eighty three percent of hotel HR leaders are not completely confident they can prevent candidate identity fraud, even with the tools they already have. That single number explains a lot about where hotels are actually pointing their AI budgets. Forty percent want faster, more accurate background checks, thirty five percent want better identity fraud detection, and thirty three percent want help scheduling interviews. Those are support tasks, not hiring decisions. The technology hotel HR teams want most is the kind that protects a decision a person is still going to make.
The roadblocks respondents named read like a candid list rather than a marketing pitch. Budget limits, tools that are hard to customize, internal resistance, poor integration with existing systems, and the plain complexity of folding AI into a hiring process that already moves fast. Forty two percent said employee experience, not AI powered hiring, is their main way of competing for talent this year. Forty six percent said the best HR leaders are the ones who balance technical tools with human judgment, not the ones who pick one over the other.
What This Means When You're Hiring Across a Border
That caution makes even more sense once a hire crosses a border. When a hotel in Texas or a resort in Florida is evaluating a candidate's culinary degree from a Piedmont institute, a stage at a well regarded kitchen in Emilia Romagna, or years of front desk experience at a Lake Como property, no algorithm can verify that history on its own. It takes someone who actually knows Italian hospitality training, speaks the language, and can confirm a reference is real. That is the work we do every day at ItalianExperience, vetting candidates ourselves before an employer ever sees a resume, and guiding both sides through the Italian and US visa steps that turn a verified candidate into an actual hire.
None of this means AI has no place in hospitality hiring. It clearly speeds up the parts of the process that were always mechanical. But the survey's real finding is that the hotels doing this well are not choosing between technology and trust. They are using the first to protect the second, and leaning on people, recruiters, references, and verified training records, wherever a decision actually matters.
Data referenced from Checkr's 2026 Hotel HR Insights Report.
The fastest hiring process in the world is worthless if you can't trust who's on the other end of it.