Skip to content
man bot

Skilled agricultural, forestry and fishery workers · code 6123

Apiarists and sericulturists

Apiarists and sericulturists plan, organize and perform operations to breed, raise and tend insects such as honey bees, silkworms and other species to produce honey, beeswax, silk and other products for sale or delivery to wholesale buyers, marketing organizations or at markets. Tasks include - (a) monitoring market activity and conditions, determining kinds and amounts of insect products to produce, and planning and coordinating production accordingly; (b) purchasing insects and growing or purchasing feed and other supplies; (c) breeding, raising and tending insects and collecting their products; (d) renting or investing in, and maintaining and cleaning, buildings, machinery, equipment and structures; (e) storing and carrying out some processing of produce; (f) arranging the sale, purchase and transportation of stock, produce and supplies, and maintaining and evaluating records of farming activities; (g) training and supervising workers in production procedures, maintenance duties and health and safety precautions, and hiring and discharging workers and contractors. Examples of occupations classified here: - Apiarist - Sericulturist

None of this job's tasks scored high enough to count. It ranks 171 of 427 for holding up against AI.

Also known as

  • bee breeder

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

77.8
Holds up
against AI
Not Exposed

AI could take on 22.2 of 100, on average
so it holds up at 100 − 22.2 = 77.8

That's the whole sum, and you can check it against the ILO's study.

60.9
How hands-on
out of 100

From O*NET, averaged across 2 US jobs

37.5
How fiddly
and cramped

finger skill 41 · hand skill 39.3 · cramped spaces 32.2 · 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 60.9 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 41.5, while the average is 22.2. 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.

  1. 41.5

    Monitoring market activity and conditions, determining kinds and amounts of insect products to produce, and planning and coordinating production accordingly

    Low
  2. 30

    Arranging the sale, purchase and transportation of stock, produce and supplies, and maintaining and evaluating records of farming activities

    Low
  3. 24.5

    Training and supervising workers in production procedures, maintenance duties, and health and safety precautions, and hiring and discharging workers and contractors.

    Very Low
  4. 17.5

    Renting or investing in, and maintaining and cleaning buildings, machinery, equipment and structures

    Very Low
  5. 17.3

    Purchasing insects and growing or purchasing feed and other supplies

    Very Low
  6. 12.3

    Breeding, raising and tending insects and collecting their products

    Very Low
  7. 12.1

    Storing and carrying out some processing of produce

    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.

One Australian job matches, but only partly: not everyone in it does this job. Treat the numbers as a rough guide.

AI helps you
65
AI does it for you
34

Helping wins by 31 points.

estimated Our Gen AI Transition (Gen AI Capacity Study) September 2025 detailed data release data 0.7-work-setting matched to Australian jobs 1213

Compared with similar jobs

There are 18 jobs in the “Skilled agricultural, forestry and fishery workers” group, averaging 84. This one is below that.