Plant and machine operators, and assemblers · code 8341

Mobile farm and forestry plant operators

GPS already steers the tractor in straight lines. Someone still has to decide when the ground is fit to work.

AI barely touches any of the eight tasks, from driving tractors and forestry machines to felling trees and servicing equipment.

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

Mobile farm and forestry plant operators drive, tend, operate and monitor one or more types of special-purpose motorized mobile machinery or equipment used in agricultural, horticultural and forestry operations. Tasks include - (a) driving and tending tractor-drawn or self-propelled special-purpose farm machinery to plough land and sow, fertilize, cultivate and harvest crops; (b) driving and tending tractor-drawn or self-propelled special-purpose forestry machinery to clear land, plant, harvest and carry trees and timber or perform other forestry operations; (c) preparing and positioning plant for operation; (d) adjusting speed, height and depth of implements; (e) operating plant to hold, lift and cut trees; (f) operating attachments to lift, swing, release and sort trees and logs, and operating auxiliary plant such as chipping machines and log splitting machines; (g) feeding felled trees into processors to strip limbs and cut into logs and loading logs onto stockpiles and into trucks; (h) servicing machinery and performing minor repairs. Examples of the occupations classified here: - Harvester operator - Logging plant operator - Timber carrier driver - Tractor driver - Tree faller operator Some related occupations classified elsewhere: - Bulldozer operator - 8342

forestry equipment operator
land-based machinery operator
land-based machinery supervisor

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

88 / 100

Strongly holds up against AI

Most of this job still needs an actual human. AI would mostly be making the tea.

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

36 of 427 for holding up against AI

Why this score?

The ILO rated each of this job's 8 tasks for how much of it AI could do. They average 12.3 out of 100, so it holds up at 100 − 12.3 = 87.7.

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 78 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?

Mobile farm and forestry plant operators 88

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.

GPS steering and automated row guidance.
Planning field work around weather forecasts.
Logging yields, fuel and maintenance.

Man

What people still do better

Judgement, trust and skilled hands. Hard to download.

Judging ground, crop and weather conditions on the day.
Repairing breakdowns in the field.
Handling timber and machinery safely on rough terrain.

Both

What's arriving

New work that only exists because the AI does.

Supervising semi-autonomous tractors and harvesters.
Precision farming data from sensors and drones.
Maintaining the electronics on modern machines.

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

25 could do without you

It could take over very little of the work on its own. It could help with 54 of 100.

The robot

The wildcard. Has hands, still working out stairs.

How much it matters here: Higher

78 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 34 out of 100. The higher it is, the longer the robot waits.

78 How
hands-on

34 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 2 US jobs .

finger skill 38.4 · hand skill 43.8 · cramped spaces 20.3 · 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 15, against an average of 12. The bigger the gap, the more lopsided the job: some of it wide open to AI, some of it barely touched.

15
Driving and tending tractor-drawn or self-propelled special-purpose forestry machinery to clear land, plant, harvest and carry trees and timber or perform other forestry operations

Very Low
15
Servicing machinery and performing minor repairs.

Very Low
14
Preparing and positioning plant for operation

Very Low
13
Adjusting speed, height and depth of implements

Very Low
13
Operating attachments to lift, swing, release and sort trees and logs, and operating auxiliary plant such as chipping machines and log splitting machines

Very Low
11
Feeding felled trees into processors to strip limbs and cut into logs and loading logs onto stockpiles and into trucks

Very Low
10
Driving and tending tractor-drawn or self-propelled special-purpose farm machinery to plough land and sow, fertilize, cultivate and harvest crops

Very Low
7
Operating plant to hold, lift and cut trees

Very Low

8 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: 54
AI does it for you: 25

Sidekick wins, by 29 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 7211

So, should farm and forestry machine operators be worried?

Short answer: not really. Put the kettle on.

Not about AI chatbots. Every task rates Very Low: driving, adjusting and repairing heavy machinery. Farm machines are getting more automated, with GPS steering and some driverless trials, so the job is shifting towards setting up, supervising and fixing them.

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 above the family average.

Pit this against any other job →