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Technicians and associate professionals · code 3143

Forestry technicians

AI can map the forest from the air. Measuring trees on the ground is still fieldwork.

AI barely touches nine of the ten tasks, including tending forests, running tree nurseries and building forest roads. Only helping draft forest management plans is mostly out of its reach.

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

Forestry technicians perform technical and supervisory functions in support of forestry research and forest management, harvesting, resource conservation and environmental protection. Tasks include - (a) conducting forest inventories, surveys and field measurements following accepted scientific and operational procedures; (b) assisting in and performing technical functions in the preparation of forest management and harvest plans using photogrammetric and mapping techniques and computerized information systems; (c) assisting in planning and supervision of construction of access routes and forest roads; (d) implementing, supervising and performing technical functions in silvicultural operations involving site preparation, planting, and tending of tree crops; (e) coordinating activities such as timber scaling, forest fire suppression, disease or insect control or pre-commercial thinning of forest stands; (f) supervising and performing technical functions in forest harvesting operations; (g) ensuring adherence to regulations and policies concerning environmental protection, resource utilization, fire safety and accident prevention; (h) supervising forest tree nursery operations; (i) providing technical support to forestry research programmes in areas such as tree improvement, seed orchard operations, insect and disease surveys or experimental forestry and forest engineering research; (j) preparing forest cultivation and cutting plans. Examples of the occupations classified here: - Forestry technician - Silviculture technician

  • forestry technician

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

79 / 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: Not Exposed

158 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 21.2 out of 100, so it holds up at 100 − 21.2 = 78.8.

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 70 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?

Forestry technicians 79

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.

  • Plans from aerial and satellite imagery.
  • Mapping and inventory data.
  • Reports and compliance records.

Man

What people still do better

Judgement, trust and skilled hands. Hard to download.

  • Field measurements and surveys.
  • Supervising harvesting and planting.
  • Judging tree health and site conditions.

Both

What's arriving

New work that only exists because the AI does.

  • Lidar and drone surveys.
  • Carbon and biodiversity monitoring.
  • Wildfire risk management.

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

41 could do without you

It could take over some of the work, and help with more. It could help with 72 of 100.

The robot

The wildcard. Has hands, still working out stairs.

How much it matters here: Higher

70 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 38 out of 100. The higher it is, the longer the robot waits.

70 How
hands-on
38 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, matched to one US job .

finger skill 42.9 · hand skill 42.9 · cramped spaces 29.5 · 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 37, against an average of 21. The bigger the gap, the more lopsided the job: some of it wide open to AI, some of it barely touched.

  1. 37

    Assisting in and performing technical functions in the preparation of forest management and harvest plans using photogrammetric and mapping techniques and computerized information systems

    Low
  2. 24

    Assisting in planning and supervision of construction of access routes and forest roads

    Very Low
  3. 23

    Ensuring adherence to regulations and policies concerning environmental protection, resource utilization, fire safety and accident prevention

    Very Low
  4. 23

    Conducting forest inventories, surveys and field measurements following accepted scientific and operational procedures

    Very Low
  5. 23

    Providing technical support to forestry research programmes in areas such as tree improvement, seed orchard operations, insect and disease surveys or experimental forestry and forest engineering research

    Very Low
  6. 22

    Supervising and performing technical functions in forest harvesting operations

    Very Low
  7. 18

    Coordinating activities such as timber scaling, forest fire suppression, disease or insect control or pre-commercial thinning of forest stands

    Very Low
  8. 17

    Preparing forest cultivation and cutting plans.

    Very Low
  9. 14

    Implementing, supervising and performing technical functions in silvicultural operations involving site preparation, planting, and tending of tree crops

    Very Low
  10. 14

    Supervising forest tree nursery operations

    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
72
AI does it for you
41

Sidekick wins, by 32 points.

How good a match is this?

2 Australian jobs match this one, and we've simply averaged them. 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 3111, 3114

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 0.01% 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

47
53

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.

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 forestry technicians be worried?

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

Parts of it are changing. Preparing management plans from maps and aerial images is the most exposed task, rated Low; surveys, supervision and field measurements rate Very Low. Remote sensing and mapping software will speed up planning, but forests are managed on foot.

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 82 jobs in the “Technicians and associate professionals” family, averaging 65. This one is above the family average.

Pit this against any other job →