Skip to content
man bot

Plant and machine operators, and assemblers · code 8321

Motorcycle drivers

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

A few tasks are affected, but the heart of the job isn't. It ranks 199 of 427 for holding up against AI.

Also known as

  • 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
Holds up
against AI Minimal Exposure

AI could take on 25 of 100, on average
so it holds up at 100 − 25 = 75

That's the whole sum, and you can check it against the ILO's study.

60.5
How hands-on
out of 100

From O*NET, averaged across 3 US jobs

30.2
How fiddly
and cramped

finger skill 33.9 · hand skill 36.2 · cramped spaces 20.4 · averaged

Kind of hands-on work · hands-on 50+ · fiddly under 39.4 Hands-on, less fiddly work

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.

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 0.7-work-setting measures chosen by Frey & Osborne (2017) · the grouping is a sorting, not a measurement

This number is probably too high

This score only looks at AI tools like chatbots. It doesn't look at robots at all — and this job rates 60.5 out of 100 for how hands-on it is, which is exactly where robots come in.

Have a look at the tasks below and judge for yourself. The ILO scored them low because a chatbot can't do them. Whether a machine with hands could is a different question, and we can't answer it yet.

The tasks behind the score

The score is the average of these. A job is really a bundle of tasks, and an average can hide how uneven that bundle is.

The task AI could do most of scores 55, while the average is 25. A big gap means some of this job is wide open to AI and some of it barely at all. That's quite different from a job where everything sits somewhere in the middle, even when the averages match.

  1. 55

    Keeping a record of journeys

    Medium
  2. 22.4

    Delivering messages.

    Very Low
  3. 17.8

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

    Very Low
  4. 17.8

    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 0.7-work-setting

Helped, or replaced?

The score above can't tell a tool that makes you faster from one that does the task instead of you. Jobs and Skills Australia looked at those two things separately, and this is their result, matched to this job.

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

AI helps you
59
AI does it for you
40

Helping wins by 19 points.

estimated Our Gen AI Transition (Gen AI Capacity Study) September 2025 detailed data release data 0.7-work-setting matched to Australian jobs 5612

Compared with similar jobs

There are 39 jobs in the “Plant and machine operators, and assemblers” group, averaging 80.3. This one is below that.