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Plant and machine operators, and assemblers · code 8321

Motorcycle drivers

The app logs the journey. Weaving through traffic is still the rider.

Keeping a log of journeys is the one task AI could take a fair chunk of. Riding, delivering and looking after the motorbike it barely touches.

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

Motorcycle drivers drive and tend motorcycles or motorized tricycles equipped to transport materials, goods or passengers. Tasks include - (a) driving and tending motorcycles or motorized tricycles to transport materials, goods and passengers; (b) observing traffic rules and signals; (c) cleaning and washing vehicles as well as performing maintenance and minor repairs; (d) keeping a record of journeys; (e) delivering messages. Examples of the occupations classified here: - Dispatch rider - Driver (motorized rickshaw) - Driver (motorized tricycle) - Motorcyclist Some related occupations classified elsewhere: - Driver (pedal vehicle) - 9331

  • motorcycle delivery person

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

199 of 427 for holding up against AI

Why this score?

The ILO rated each of this job's 5 tasks for how much of it AI could do. They average 25 out of 100, so it holds up at 100 − 25 = 75.

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 61 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?

Motorcycle drivers 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.

  • Journey logs and delivery records.
  • Routes and job allocation by app.
  • Payments and ratings.

Man

What people still do better

Judgement, trust and skilled hands. Hard to download.

  • Riding safely in traffic.
  • Delivering on time.
  • Maintaining the bike.

Both

What's arriving

New work that only exists because the AI does.

  • Electric motorbikes and scooters.
  • Platform gig work.
  • Delivery drones on some routes.

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

40 could do without you

It could take over some of the work, and help with more. It could help with 59 of 100.

The robot

The wildcard. Has hands, still working out stairs.

How much it matters here: Higher

61 how hands-on

Most of this job needs hands, a body or turning up. That's robot territory, and nobody measures how far robots have got well enough to give you a number. We won't make one up.

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 30 out of 100. The higher it is, the longer the robot waits.

61 How
hands-on
30 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 33.9 · hand skill 36.2 · cramped spaces 20.4 · 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 55, 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. 55

    Keeping a record of journeys

    Medium
  2. 22

    Delivering messages.

    Very Low
  3. 18

    Driving and tending motorcycles or motorized tricycles to transport materials, goods and passengers

    Very Low
  4. 18

    Observing traffic rules and signals

    Very Low
  5. 12

    Cleaning and washing vehicles as well as performing maintenance and minor repairs

    Very Low

5 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
59
AI does it for you
40

Sidekick wins, by 19 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 5612

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, 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

37
63

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 motorcycle couriers be worried?

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

The logging is moving. Keeping journey records is rated Medium; riding, delivering and maintenance rate Very Low. Delivery apps handle routes and records; the riding 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 39 jobs in the “Plant and machine operators, and assemblers” family, averaging 80. This one is below the family average.

Pit this against any other job →