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Service and sales workers · code 5112

Transport conductors

An app can answer 'Which platform?'. Handling an emergency on board is still a conductor's job.

Answering passengers' questions and complaints is the one task AI could take a fair chunk of. It barely touches seven of the ten, including handling emergencies and opening and closing the doors.

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

Transport conductors check and issue tickets and ensure the safety and comfort of passengers on trains, trams, buses and other public transport vehicles. Tasks include - (a) collecting and issuing tickets, passes or fares, and checking the validity of tickets issued previously; (b) attending to sleeping-cars and their occupants on passenger trains; (c) providing assistance with boarding, seating and luggage as required, especially to elderly, sick or injured people; (d) opening and closing doors for passengers; (e) performing equipment safety checks prior to departure; (f) signalling to drivers to stop or proceed; (g) greeting passengers boarding transportation equipment, and announcing routes and stops. (h) ensuring that safety regulations are respected; (i) responding to passengers’ requests and complaints and providing information about stops and connections; (j) taking appropriate action in case of emergencies or accidents. Examples of the occupations classified here: - Bus conductor - Cable car conductor - Ticket inspector (public transport) - Train conductor - Tram conductor

  • chief conductor
  • railway passenger service agent
  • train conductor

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

75 / 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: Minimal Exposure

197 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 24.9 out of 100, so it holds up at 100 − 24.9 = 75.1.

That's the whole sum. No black box, no secret sauce: you can check it against the ILO's study. ILO group “Minimal Exposure”: A few tasks are affected, but the heart of the job isn't.

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 57 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?

Transport conductors 75

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.

  • Passenger information by app and screens.
  • Ticket checks with digital tickets.
  • Automatic announcements.

Man

What people still do better

Judgement, trust and skilled hands. Hard to download.

  • Safety and emergencies.
  • Helping passengers who need assistance.
  • Keeping order on board.

Both

What's arriving

New work that only exists because the AI does.

  • Digital ticketing systems.
  • More focus on passenger safety and accessibility.
  • Supporting driver-only operation.

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

49 could do without you

It could take over some of the work, and help with more. It could help with 52 of 100.

The robot

The wildcard. Has hands, still working out stairs.

How much it matters here: Some

57 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?

Less fine handwork and fewer cramped spaces than a typical hands-on job. That clears one hurdle for machines. It doesn't mean machines are doing this work yet.

Robots hate fiddly work in awkward spaces. On that measure, this job scores 28 out of 100. The higher it is, the longer the robot waits.

57 How
hands-on
28 How fiddly
and cramped

Kind of hands-on work Hands-on, less fiddly work

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 3 US jobs .

finger skill 30.4 · hand skill 30.8 · cramped spaces 21.8 · averaged · rule: hands-on 50+ · fiddly under 39.4

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 62, against an average of 25. The bigger the gap, the more lopsided the job: some of it wide open to AI, some of it barely touched.

  1. 62

    Responding to passengers requests and complaints and providing information about stops and connections

    Medium
  2. 46

    Collecting and issuing tickets, passes or fares, and checking the validity of tickets issued previously

    Low
  3. 29

    Greeting passengers boarding transportation equipment, and announcing routes and stops.

    Low
  4. 23

    Ensuring that safety regulations are respected

    Very Low
  5. 20

    Performing equipment safety checks prior to departure

    Very Low
  6. 18

    Attending to sleeping-cars and their occupants on passenger trains

    Very Low
  7. 18

    Signalling to drivers to stop or proceed

    Very Low
  8. 14

    Providing assistance with boarding, seating and luggage as required, especially to elderly, sick, or injured people

    Very Low
  9. 12

    Taking appropriate action in case of emergencies or accidents.

    Very Low
  10. 9

    Opening and closing doors for passengers

    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
52
AI does it for you
49

Sidekick wins, by 3 points.

How good a match is this?

One Australian job matches this one closely, so this is about as reliable as it gets here.

estimated Our Gen AI Transition (Gen AI Capacity Study) September 2025 detailed data release data 0.8-observed-use matched to Australian jobs 6394

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 0.06% 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 3 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 train conductors be worried?

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

Parts of it are changing. Answering passengers' questions is rated Medium, and checking tickets and announcements are Low; safety checks and emergencies rate Very Low. Apps and automatic announcements take on routine information, so the job leans towards safety and care.

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 →