Elementary occupations · code 9214
Garden and horticultural labourers
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
None of this job's tasks scored high enough to count. It ranks 25 of 427 for holding up against AI.
Also known as
- 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.
against AI Not Exposed
AI could take on 11.6 of 100, on average
so it holds up at 100 − 11.6 = 88.4
That's the whole sum, and you can check it against the ILO's study.
out of 100
From O*NET, averaged across 2 US jobs
and cramped
finger skill 38.5 · hand skill 46.4 · cramped spaces 15.5 · 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 61.3 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 14.8, while the average is 11.6. 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.
- 14.8
Harvesting and packaging plants for sale and transport
Very Low - 13.5
Performing minor repairs on fixtures, buildings, equipment and fences.
Very Low - 12.5
Maintaining gardens by watering, weeding and mowing lawns
Very Low - 11.8
Preparing garden sites and plots using hand tools and simple machines
Very Low - 11.5
Assisting with propagating, planting and potting seeds, bulbs and cuttings
Very Low - 11
Loading, unloading and moving supplies, produce and equipment
Very Low - 11
Assisting with planting and transplanting flowers, shrubs, trees and lawns
Very Low - 9.4
Tending plants by hand watering and weeding
Very Low - 8.8
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 0.7-work-setting
Compared with similar jobs
There are 33 jobs in the “Elementary occupations” group, averaging 84.9. This one is above that.
- Vehicle cleaners 91.1
- Water and firewood collectors 91.1
- Crop farm labourers 90.9
- Garbage and recycling collectors 90.8
- Civil engineering labourers 90.7
- Forestry labourers 90.6
- Building construction labourers 90.6
- Sweepers and related labourers 90.6
- Other cleaning workers 89.8
- Mining and quarrying labourers 89.1
- Odd job persons 89
- Window cleaners 88.9
- Fishery and aquaculture labourers 88.9
- Mixed crop and livestock farm laboure… 88.7
- Cleaners and helpers in offices, hote… 88.1
- Livestock farm labourers 88.1
- Manufacturing labourers not elsewhere… 88
- Kitchen helpers 87
- Drivers of animal-drawn vehicles and … 86.8
- Freight handlers 85.9
- Domestic cleaners and helpers 85.7
- Hand launderers and pressers 85.6
- Street and related service workers 82.1
- Refuse sorters 81.9
- Fast food preparers 81.7
- Hand packers 80.2
- Shelf fillers 79.5
- Street vendors (excluding food) 79.5