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Service and sales workers · code 5111

Travel attendants and travel stewards

The app can sell the duty-free. Evacuating an aircraft is still a crew's job.

AI barely touches eight of the eleven tasks, including checking emergency equipment and giving first aid. Pre-flight briefings and the duty-free trolley are mostly out of its reach too.

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

Travel attendants and travel stewards ensure the comfort and safety of passengers, serve meals and beverages and render personal services, usually on aircraft and on board ships. They may plan and coordinate housekeeping and social activities on ships. Tasks include - (a) greeting passengers entering aircraft or ships, checking tickets or boarding passes, and directing passengers to their seats or berths; (b) announcing, explaining and demonstrating safety and emergency procedures such as the use of oxygen masks, seat belts and life jackets; (c) assembling and serving pre-prepared meals and beverages; (d) selling duty-free and other goods; (e) taking care of general needs and comfort of passengers, answering inquiries, and keeping cabins clean and tidy; (f) directing and assisting passengers and following prescribed procedures in the event of an emergency, such as evacuating an aircraft following an emergency landing; (g) verifying that first aid kits and other emergency equipment are in working order; (h) administering first aid to passengers in distress; (i) attending pre-flight briefings concerning weather, altitudes, routes, emergency procedures, crew coordination, lengths of flights, food and beverage services offered, and numbers of passengers; (j) preparing passengers and aircraft for take-off and landing; (k) determining special assistance needs of passengers such as small children, the elderly or disabled persons. Examples of the occupations classified here: - Cabin attendant - Flight attendant - Ship’s steward

  • cabin crew manager
  • steward/stewardess

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

79 / 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: Not Exposed

162 of 427 for holding up against AI

Why this score?

The ILO rated each of this job's 11 tasks for how much of it AI could do. They average 21.5 out of 100, so it holds up at 100 − 21.5 = 78.5.

That's the whole sum. No black box, no secret sauce: you can check it against the ILO's study. ILO group “Not Exposed”: None of this job's tasks scored high enough to count.

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

Pinch of salt: this number is probably too rosy

It only asks what AI software could do, and this job is 55 out of 100 hands-on. A chatbot can't do that part. A robot might, one day, and nobody measures how close that is.

Man v Bot · compare

Who holds up better?

Travel attendants and travel stewards 79

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.

  • Boarding checks and seat guidance.
  • Onboard sales and payments.
  • Briefing information on tablets.

Man

What people still do better

Judgement, trust and skilled hands. Hard to download.

  • Handling emergencies and evacuations.
  • First aid and caring for passengers.
  • Keeping order on board.

Both

What's arriving

New work that only exists because the AI does.

  • Digital briefings and service tablets.
  • Handling disruptive passengers.
  • Premium service as a selling point.

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: Low

26 could do without you

It could take over very little of the work on its own. It could help with 53 of 100.

The robot

The wildcard. Has hands, still working out stairs.

How much it matters here: Some

55 how hands-on

A fair part of this job is hands-on, so robots would be needed for that part, not just software.

So could a robot do the physical part?

Physical work where helping and caring for people is a big part of the job. For care work, whether a machine could do the movements is only half the question. The other half is whether anyone wants one to. The US data counts helping workmates too, so a few trades end up here.

Robots hate fiddly work in awkward spaces. On that measure, this job scores 36 out of 100. The higher it is, the longer the robot waits.

55 How
hands-on
36 How fiddly
and cramped

Kind of hands-on work Hands-on, helping and caring for others

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, averaged across 4 US jobs .

finger skill 33.3 · hand skill 33.7 · cramped spaces 41 · averaged · rule: hands-on 50+ · caring 4+ of 7

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 41, against an average of 22. The bigger the gap, the more lopsided the job: some of it wide open to AI, some of it barely touched.

  1. 41

    Attending pre-flight briefings concerning weather, altitudes, routes, emergency procedures, crew coordination, lengths of flights, food and beverage services offered, and numbers of passengers

    Low
  2. 39

    Selling duty-free and other goods

    Low
  3. 27

    Greeting passengers entering aircraft or ships, checking tickets or boarding passes, and directing them to their seats or berths

    Low
  4. 23

    Announcing, explaining and demonstrating safety and emergency procedures, such as the use of oxygen masks, seat belts, and life jackets

    Very Low
  5. 22

    Directing and assisting passengers and following prescribed procedures in the event of an emergency, such as evacuating an aircraft following an emergency landing

    Very Low
  6. 20

    Preparing passengers and aircraft for take-off and landing

    Very Low
  7. 18

    Determining special assistance needs of passengers such as small children, the elderly, or disabled persons.

    Very Low
  8. 17

    Assembling and serving pre-prepared meals and beverages

    Very Low
  9. 15

    Taking care of general needs and comfort of passengers, answering inquiries, and keeping cabins clean and tidy

    Very Low
  10. 9

    Verifying that first aid kits and other emergency equipment are in working order

    Very Low
  11. 9

    Administering first aid to passengers in distress

    Very Low

11 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
53
AI does it for you
26

Sidekick wins, by 27 points.

How good a match is this?

One Australian job matches, but only partly: not everyone in it does this job. 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 4517

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 0.07% of all the conversations: a tiny slice, mostly the paperwork rather than the work. People using AI for a job isn't the same as AI being able to do it.

Out of every 100 conversations

31
69

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.

The data is sorted by US job, and this one matches 4 of them. We've combined them, counting each by how often it comes up in the conversations, so the busiest one counts most.

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 cabin crew be worried?

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

Somewhat. Pre-flight briefings, selling goods and checking boarding passes are the most exposed tasks, all Low; safety demonstrations, emergencies and passenger care rate Very Low. Apps and self-boarding take over some routine work; safety and care stay with crew.

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 39 jobs in the “Service and sales workers” family, averaging 74. This one is above the family average.

Pit this against any other job →