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Skilled agricultural, forestry and fishery workers · code 6222

Inland and coastal waters fishery workers

Inland and coastal waters fishery workers, alone or as members of fishing-vessel crews, catch fish or gather other forms of aquatic life in inland or coastal waters for sale or delivery on a regular basis to wholesale buyers, marketing organizations or at markets. Tasks include - (a) preparing and repairing nets and other fishing gear and equipment; (b) selecting areas for fishing, plotting courses and computing navigational positions using compass, charts and other aids; (c) operating fishing vessels to, from and at fishing grounds; (d) baiting, setting, operating and hauling in fishing gear by hand or using hoisting equipment; (e) gathering various forms of aquatic life from shores and shallow waters; (f) maintaining engine fishing gear and other on-board equipment; (g) keeping records of transactions, fishing activities, weather and sea conditions, and estimating costs and budgets; (h) sorting and storing catch in holds with salt and ice; (i) removing catches from fishing equipment, measuring them to ensure compliance with legal size and returning undesirable or illegal catches to the water; (j) directing fishing operations, and supervising fishing crew members. Examples of the occupations classified here: - Coastal fishery skipper - Fisher (coastal waters) - Fisher (inland waters) Some related occupations classified elsewhere: - Fishing operations manager - 1312 - Deep-sea fisher - 6223 - Oyster diver - 7541 - Fishing labourer - 9216

None of this job's tasks scored high enough to count. It ranks 104 of 427 for holding up against AI.

Also known as

  • fisheries boatman

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

82.5
Holds up
against AI Not Exposed

AI could take on 17.5 of 100, on average
so it holds up at 100 − 17.5 = 82.5

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

68.9
How hands-on
out of 100

From O*NET, averaged across 2 US jobs

38.8
How fiddly
and cramped

finger skill 40.2 · hand skill 40.2 · cramped spaces 35.9 · 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 68.9 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 42.5, while the average is 17.5. 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. 42.5

    Keeping records of transactions, fishing activities, weather and sea conditions and estimating costs and budgets

    Low
  2. 22.3

    Selecting area for fishing, plotting courses and computing navigational positions using compass, charts and other aids

    Very Low
  3. 19.3

    Directing fishing operations, and supervising fishing crew members.

    Very Low
  4. 14.4

    Maintaining engine fishing gear and other on-board equipment

    Very Low
  5. 14.3

    Gathering various forms of aquatic life from shores and shallow waters

    Very Low
  6. 14

    Operating fishing vessels to, from and at fishing grounds

    Very Low
  7. 13.8

    Baiting, setting, operating and hauling in fishing gear by hand or using hoisting equipment

    Very Low
  8. 13.8

    Removing catches from fishing equipment, measuring them to ensure compliance with legal size and returning undesirable or illegal catches to the water

    Very Low
  9. 11.9

    Sorting, and storing catch in holds with salt and ice

    Very Low
  10. 8.8

    Preparing and repairing nets and other fishing gear and equipment

    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 0.7-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.

2 Australian jobs match this one, and we've simply averaged them. Treat the numbers as a rough guide.

AI helps you
50
AI does it for you
21

Helping wins by 29 points.

estimated Our Gen AI Transition (Gen AI Capacity Study) September 2025 detailed data release data 0.7-work-setting matched to Australian jobs 2312, 3631, 8992

Compared with similar jobs

There are 18 jobs in the “Skilled agricultural, forestry and fishery workers” group, averaging 83.7. This one is below that.