Plant and machine operators, and assemblers · code 8343
Crane, hoist and related plant operators
Crane, hoist and related plant operators monitor and operate stationary and mobile cranes and other hoisting equipment. Tasks include - (a) operating and monitoring stationary or mobile cranes by raising and lowering jibs and booms to lift, move, position or place equipment and materials; (b) operating and monitoring equipment for hoisting, lowering or raising workers and materials on construction sites or in mines; (c) operating and monitoring ski-lifts and similar equipment; (d) operating and monitoring machinery used to haul ferries or barges with goods, passengers and vehicles across short stretches of water; (e) operating and monitoring machinery to open and close bridges for the passage of road and water traffic; (f) operating and monitoring cranes equipped with dredging attachments to dredge waterways and other areas; (g) operating cranes mounted on boats or barges to lift, move and place equipment and materials. Examples of the occupations classified here: - Cable car operator - Chair-lift operator - Crane operator - Funicular driver - Hoist operator - Mine cage operator - Ski-lift operator
None of this job's tasks scored high enough to count. It ranks 107 of 427 for holding up against AI.
Also known as
- tower crane operator
- container crane operator
- automated cable vehicle controller
- production plant crane operator
- mobile crane operator
Job titles from the EU's ESCO list. Search for any of them on the jobs page and you'll end up here.
against AI Not Exposed
AI could take on 17.5 of 100, on average
so it holds up at 100 − 17.5 = 82.5
That's the whole sum, and you can check it against the ILO's study.
out of 100
From O*NET, averaged across 6 US jobs
and cramped
finger skill 36.1 · hand skill 36.3 · cramped spaces 24.7 · 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 62.4 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 22.5, while the average is 17.5. 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.
- 22.5
Operating and monitoring ski-lifts and similar equipment
Very Low - 21
Operating and monitoring machinery to open and close bridge for the passage of road and water traffic
Very Low - 17.8
Operating and monitoring machinery used to haul ferry or barge with goods, passengers and vehicles across short stretches of water
Very Low - 15.8
Operating and monitoring cranes equipped with dredging attachments to dredge waterways and other areas
Very Low - 15.6
Operating and monitoring stationary or mobile cranes by raising and lowering jibs and booms, to lift, move, position or place equipment and materials
Very Low - 15
Operating and monitoring equipment for hoisting, lowering or raising workers and materials on construction sites or in mines
Very Low - 15
Operating cranes mounted on boats or barges to lift, move and place equipment and materials.
Very Low
7 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.
3 Australian jobs match this one, and we've simply averaged them. Treat the numbers as a rough guide.
- AI helps you
- 53.7
- AI does it for you
- 23
Helping wins by 30.7 points.
estimated Our Gen AI Transition (Gen AI Capacity Study) September 2025 detailed data release data 0.7-work-setting matched to Australian jobs 7121, 7129, 7219
Compared with similar jobs
There are 39 jobs in the “Plant and machine operators, and assemblers” group, averaging 80.1. This one is above that.
- Mobile farm and forestry plant operat… 87.7
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- Fur and leather preparing machine ope… 85.4
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- Food and related products machine ope… 84.7
- Fibre preparing, spinning and winding… 84.5
- Laundry machine operators 84.4
- Textile, fur and leather products mac… 84.2
- Shoemaking and related machine operat… 83.7
- Weaving and knitting machine operators 83.5
- Miners and quarriers 82.7
- Glass and ceramics plant operators 82.6
- Plastic products machine operators 82.5
- Railway brake, signal and switch oper… 82.5
- Bus and tram drivers 82.1
- Paper products machine operators 81.9
- Rubber products machine operators 81.8
- Well drillers and borers and related … 81.2
- Steam engine and boiler operators 80.5
- Lifting truck operators 80.2
- Locomotive engine drivers 80.1
- Metal finishing, plating and coating … 79.5
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- Bleaching, dyeing and fabric cleaning… 79
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- Cement, stone and other mineral produ… 77.4