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Elementary occupations · code 9214

Garden and horticultural labourers

AI can identify the weed. Pulling it out is still your job.

AI barely touches any of the nine tasks, from watering and weeding by hand to harvesting plants and clearing rubbish.

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

Garden and horticultural labourers perform simple and routine tasks in operations to cultivate and maintain trees, shrubs, flowers and other plants in parks and private gardens, to produce saplings, bulbs and seeds, or to grow vegetables and flowers by intensive cultivation techniques. Tasks include - (a) loading, unloading and moving supplies, produce and equipment; (b) preparing garden sites and plots using hand tools and simple machines; (c) assisting with planting and transplanting flowers, shrubs, trees and lawns; (d) maintaining gardens by watering, weeding and mowing lawns; (e) cleaning gardens and removing rubbish; (f) assisting with propagating, planting and potting seeds, bulbs and cuttings; (g) tending plants by hand watering and weeding; (h) harvesting and packaging plants for sale and transport; (i) performing minor repairs on fixtures, buildings, equipment and fences. Examples of the occupations classified here: - Garden labourer - Horticultural labourer - Lawn mower - Nursery labourer Some related occupations classified elsewhere: - Horticulturist - 6113 - Landscape gardener - 6113 - Market gardener - 6113 - Crop farm labourer - 9211

  • garden labourer

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

25 of 427 for holding up against AI

Why this score?

The ILO rated each of this job's 9 tasks for how much of it AI could do. They average 11.6 out of 100, so it holds up at 100 − 11.6 = 88.4.

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 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?

Garden and horticultural labourers 88

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.

  • Identifying plants and pests from photos.
  • Scheduling jobs and watering.
  • Ordering and stock records.

Man

What people still do better

Judgement, trust and skilled hands. Hard to download.

  • Planting, pruning and weeding carefully by hand.
  • Working with living plants that change every week.
  • Keeping gardens looking right for people who care about them.

Both

What's arriving

New work that only exists because the AI does.

  • Setting up and looking after robot mowers and irrigation.
  • Rewilding and biodiversity projects.
  • Green roofs and urban planting.

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.

– could do without you

We don't have a measure of how much of this job AI could take over.

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

61 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 38.5 · hand skill 46.4 · cramped spaces 15.5 · 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 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.

  1. 15

    Harvesting and packaging plants for sale and transport

    Very Low
  2. 14

    Performing minor repairs on fixtures, buildings, equipment and fences.

    Very Low
  3. 13

    Maintaining gardens by watering, weeding and mowing lawns

    Very Low
  4. 12

    Preparing garden sites and plots using hand tools and simple machines

    Very Low
  5. 12

    Assisting with propagating, planting and potting seeds, bulbs and cuttings

    Very Low
  6. 11

    Loading, unloading and moving supplies, produce and equipment

    Very Low
  7. 11

    Assisting with planting and transplanting flowers, shrubs, trees and lawns

    Very Low
  8. 9

    Tending plants by hand watering and weeding

    Very Low
  9. 9

    Cleaning gardens and removing rubbish

    Very Low

9 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

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 under 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

31
69

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 garden labourers be worried?

Short answer: not really. Put the kettle on.

No. Every task rates Very Low: planting, weeding, mowing and moving supplies. Robot mowers handle some lawns, but most gardening is too varied for machines.

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 33 jobs in the “Elementary occupations” family, averaging 85. This one is above the family average.

Pit this against any other job →