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Managers · code 1411

Hotel managers

AI can suggest things to do in town. Making guests feel welcome is still hospitality.

Arranging tours and transport for guests and checking they're happy are where AI could take a fair chunk. Security, the grounds and safety rules it barely touches.

What they actually do (and what else they get called)

Hotel managers plan, organize and direct the operations of hotels, motels and similar establishments to provide guest accommodation and other services. Tasks include - (a) directing and overseeing reservation, reception, room service and housekeeping activities; (b) supervising security arrangements and garden and property maintenance; (c) planning and supervising bar, restaurant, function and conference activities; (d) observing liquor, gaming and other laws and regulations; (e) assessing and reviewing customer satisfaction; (f) overseeing accounting and purchasing activities; (g) undertaking budgeting for the establishment; (h) controlling selection, training and supervision of staff; (i) ensuring compliance with occupational health and safety regulations; (j) providing guests with local tourism information, and arranging tours and transportation. Examples of the occupations classified here: - Hotel manager - Motel manager - Youth hostel manager Some related occupations classified elsewhere: - Bed and breakfast operator - 5152 Notes Operators of small establishments, such as some bed and breakfast establishments and small guest houses that provide accommodation and limited meal services to clients effectively as paying guests in private households, and for whom the management and supervision of staff is not a significant component of the work, are classified in Unit Group 5152: Domestic Housekeepers. Chief executive officers and specialized managers of hotel management companies or hotel chains are classified in the relevant unit group in Sub-major Groups 11 and 12.

  • accommodation manager
  • rooms division manager

Job titles from the EU's ESCO list. Search for any of them on the jobs page and you'll end up here.

63 / 100

Mostly holds up against AI

AI can take a few chores off your plate, but most of the day is still yours.

Not the odds you keep your job. It's how much of the everyday work still needs a person, out of 100.

← Robot's turf Human's turf →

The ILO's official verdict: Exposed: Gradient 1

303 of 427 for holding up against AI

Why this score?

The ILO rated each of this job's 10 tasks for how much of it AI could do. They average 37.3 out of 100, so it holds up at 100 − 37.3 = 62.7.

That's the whole sum. No black box, no secret sauce: you can check it against the ILO's study. ILO group “Exposed: Gradient 1”: The mildest of the ILO’s four “exposed” groups.

This job rates 39.6 out of 100 for how hands-on it is. The score above only looks at AI tools, not robots, but for work this far from the physical that matters less.

from the source Working Paper 140, Generative AI and Jobs 2025 index data 0.8-observed-use

Man v Bot · compare

Who holds up better?

Hotel managers 63

v

Go on, try your partner's job. Or your sibling's. We won't tell.

Man v Bot

Where the bot helps, and where the human wins

Bot

What AI takes

The routine stuff. You may not miss it.

  • Guest information and recommendations.
  • Analysing reviews and satisfaction.
  • Budgets and purchasing.

Man

What people still do better

Judgement, trust and skilled hands. Hard to download.

  • Looking after guests.
  • Leading staff.
  • Handling problems and complaints.

Both

What's arriving

New work that only exists because the AI does.

  • AI chat and concierge tools.
  • Dynamic pricing.
  • Personalised guest experiences.

Written by a human, from the ILO's task ratings below. Yes, we see the irony. Read it as one person's take.

Meet your two rivals

They're not the same machine. AI software can only reach the parts of a job done on a screen or in words. A chatbot can't climb a ladder. A robot might, one day, if it doesn't fall off.

The AI

Lives in a screen. Never had to fix a boiler.

Threat level: Medium

38 could do without you

It could take over some of the work, and help with more. It could help with 70 of 100.

The robot

The wildcard. Has hands, still working out stairs.

How much it matters here: Lower

40 how hands-on

Not much of this job needs hands, so the robot can sit this one out.

So could a robot do the physical part?

Less than half of this job is hands-on. Robots still matter, but for a smaller part of the work, so we don't sort it any further.

Robots hate fiddly work in awkward spaces. On that measure, this job scores 19 out of 100. The higher it is, the longer the robot waits.

40 How
hands-on
19 How fiddly
and cramped

Kind of hands-on work Less than half hands-on

The small print

They aren't a robot score, and nothing on this page is. Nobody measures how far robots have got well enough to put a number on it. These are the closest thing we have: how hands-on the job is, and how much fiddly, cramped work it takes, which is what Frey and Osborne found hardest for machines.

From O*NET, matched to one US job .

finger skill 26.9 · hand skill 25 · cramped spaces 4.7 · averaged · rule: hands-on under 50

estimated O*NET 31.0 BLS occupational crosswalk chain ISCO-08 to 2010 SOC (Aug 2012, rev. Jun 2015); 2010 to 2018 SOC (Nov 2017); O*NET-SOC 2019 taxonomy data 0.8-observed-use measures chosen by Frey & Osborne (2017) · the grouping is a sorting, not a measurement

The job, task by task

Every job is really a bundle of tasks. Here's this one unpacked, with how much of each AI could do, out of 100. The score is the average, and averages can hide a lot.

AI's favourite task here scores 60, against an average of 37. The bigger the gap, the more lopsided the job: some of it wide open to AI, some of it barely touched.

  1. 60

    Providing guests with local tourism information, and arranging tours and transportation.

    Medium
  2. 50

    Assessing and reviewing customer satisfaction

    Medium
  3. 44

    Overseeing accounting and purchasing activities

    Low
  4. 44

    Undertaking budgeting for the establishment

    Low
  5. 37

    Observing liquor, gaming, and other laws and regulations

    Low
  6. 37

    Directing and overseeing reservation, reception, room service and housekeeping activities

    Low
  7. 32

    Planning and supervising bar, restaurant, function and conference activities

    Low
  8. 28

    Controlling selection, training and supervision of staff

    Low
  9. 21

    Supervising security arrangements and garden and property maintenance

    Very Low
  10. 21

    Ensuring compliance with occupational health and safety regulations

    Very Low

10 tasks · the High to Very Low labels are the ILO's

from the source Working Paper 140, Generative AI and Jobs 2025 index data 0.8-observed-use

Sidekick or replacement?

A tool that makes you faster is a very different thing from one that does the task while you watch. Jobs and Skills Australia measured the two separately, which is handy.

AI helps you
70
AI does it for you
38

Sidekick wins, by 32 points.

How good a match is this?

2 Australian jobs match this one, and we've simply averaged them. Treat the numbers as a rough guide.

estimated Our Gen AI Transition (Gen AI Capacity Study) September 2025 detailed data release data 0.8-observed-use matched to Australian jobs 1413, 1419

Meanwhile, in real life…

Everything else here is about what AI could do. This is what people actually did. When they asked Claude for help with this kind of work, did they hand the whole task over, or roll their sleeves up and work through it together?

Tiny sample alert This job makes up 0.03% of all the conversations: a tiny slice. People using AI for a job isn't the same as AI being able to do it.

Out of every 100 conversations

39
61

worked through it together handed it over

The small print

Anthropic publishes this about its own product, and it doesn't feed into any score here. These are people who use Claude, not workers in general, so little use here doesn't mean AI can't reach the job.

These two add up to 100. The bars elsewhere on the page don't, because each is scored on its own, so we don't put them side by side.

observed use Anthropic Economic Index release 2026-06-26, period beginning 2026-05-01 data 0.8-observed-use 2026-05-01 · Anthropic, about its own product

So, should hotel managers be worried?

Short answer: not much. Some of the chores will change, and good riddance.

Parts of it are changing. Local information and customer satisfaction reviews are rated Medium; accounts, budgets, compliance, front of house, events and staffing are Low; security and safety rate Very Low. AI concierge tools and review analysis take on routine work; hospitality stays human.

Worth remembering: we score tasks, not jobs. When AI takes on a task, the job usually reshuffles around it rather than vanishing.

Where this job could lead

None of the new jobs we've written up start from here yet. Could be you're the first. See the jobs AI is creating →

How are the neighbours doing?

There are 30 jobs in the “Managers” family, averaging 64. This one is below the family average.

Pit this against any other job →