Will AI destroy tourism jobs? What the data says
In June 2026, at the NYU IHIF hotel forum, Sébastien Bazin — CEO of Accor, one of the world's largest hotel groups — said out loud what many executives think in private: a third, if not 40%, of the group's corporate jobs will be replaced by AI, with significant changes within 18-24 months. A month later, Mews, one of the big hotel software vendors, laid off 15% of its staff (around 200 of 1,350 people) to reinvent itself as an "AI-native" company. Headlines like these feed a simple narrative: AI is coming for tourism jobs.
The data tells a less simple story. And a more useful one.
The pattern almost nobody points out
If you line up the documented cuts of 2025-2026, a clear geographic pattern appears: they hit corporate and remote support roles, not — for now — customer-facing staff. Accor's office jobs. Mews's software workforce (which, in fact, kept client-facing roles intact and had 36 open vacancies when announcing the layoffs). The 30% of guest services and support roles Hyatt cut in the US — remote support, not receptionists.
It is an essential nuance if you want to avoid headlines like "AI is firing waiters". What AI is absorbing first is the administrative work the customer never sees: reports, internal management, second-line support.
The counter-narrative: the profession that was supposed to die is growing fastest
Meanwhile, at the other end of the industry, something happens that unsettles the apocalyptic narrative: travel agent was the number one growing profession in Spain according to LinkedIn's Jobs on the Rise report (2025), with most hiring in Madrid, Barcelona and San Sebastián. It no longer appears among the top 25 in the 2026 edition — now led by AI engineer — so the figure captures a moment, not a settled trend. In the United States it was the fifth fastest-growing, with profiles identifying as travel advisors up more than 50% in three years. US trade body ASTA projects human agents will intermediate 141.3 billion dollars in bookings in 2026 — 26% of its market. Bloomberg has even documented lawyers and finance professionals leaving their careers to become travel advisors.
How can both things be true at once — corporate layoffs and a boom in human advisors? The most convincing explanation the industry has produced is the "paradox of abundance": the cheaper it becomes to generate options with AI, the more valuable the person who helps choose between them and answers when something fails. AI makes information cheap; it makes judgement and trust relatively expensive.
The third narrative: there are no people
There is a third factor pushing automation that has nothing to do with replacing anyone: the structural staff shortage. Between 65% and 72% of US hotels cannot fill vacancies according to trade body AHLA, and the WTTC projects labour availability 18% below what is needed by 2035. Across much of the industry, the real question is not "who does AI replace?" but "who does this work that nobody wants or is available to do?".
How the workforce is living it
The most human data point of the year comes from Hilton's workforce report with Ipsos and Morning Consult (June 2026): 52% of hotel workers feel anxiety about AI — and 55% ask for training. The workforce's demand is not to stop the technology: it is not to be left behind. The contrast within the industry's own leadership is telling: against Bazin's forecast, Hyatt's CEO Mark Hoplamazian argues job destruction will be smaller than announced and that technology's role is to "amplify humanity" in service.
My reading, from the inside
I have spent fifteen years in tour operator operations, and if that work teaches anything, it is to distinguish between tasks and trades. AI automates tasks: the weekly report, the repeated reply, reconciling data between systems. Trades — solving a group incident on a Saturday night, negotiating with a supplier, deciding which client needs a call rather than an email — transform, but they do not disappear by technological decree.
The practical recommendation flowing from the 2026 data is not dramatic: if your tourism job is mostly administrative and invisible to the customer, retraining is not optional and companies like Accor are setting the clock in months, not decades. If your job is about judgement, trust and human contact, AI is the best tool you have ever had — and LinkedIn's data suggests the market is already paying for it.
