Skilled agricultural, forestry and fishery workers · code 6223
Deep-sea fishery workers
Deep-sea fishery workers, as skippers or members of fishing vessel crews, catch deep-sea fish for sale or delivery to wholesale buyers, marketing organizations or at markets. Tasks include - (a) preparing and repairing nets and other fishing gear and equipment; (b) commanding and operating fishing vessels to, from and at deep-sea fishing grounds; (c) determining areas for fishing, plotting courses and computing navigational positions using compass, charts, tables and other aids; (d) steering vessels and operating navigational instruments and electronic fishing aids; (e) directing fishing operations and supervising crew activities; (f) recording fishing progress and activities, as well as weather and sea conditions, on the ship’s log; (g) baiting, setting and hauling in fishing gear; (h) cleaning, freezing, icing or salting catch on- or offshore; (i) selecting and training vessel crews. Examples of the occupations classified here: - Deep-sea fisher - Trawler skipper Some related occupations classified elsewhere: - Fishing operations manager - 1312 - Coastal fishery skipper - 6222 - Fisher(coastal waters) - 6222 - Fisher (inland waters) - 6222 - Fishery labourer - 9216
None of this job's tasks scored high enough to count. It ranks 109 of 427 for holding up against AI.
Also known as
- deep-sea fishery worker
- fisheries master
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 17.6 of 100, on average
so it holds up at 100 − 17.6 = 82.4
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 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 32.5, while the average is 17.6. 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.
- 32.5
Recording fishing progress and activities, as well as weather and sea conditions, on the ship's log
Low - 20.5
Directing fishing operations and supervising crew activities
Very Low - 19.5
Selecting and training vessel crews.
Very Low - 18.8
Steering vessels and operating navigational instruments and electronic fishing aids
Very Low - 18.5
Determining areas for fishing, plotting courses and computing navigational positions using compass, charts, tables and other aids
Very Low - 14.8
Commanding and operating fishing vessels to, from and at deep-sea fishing grounds
Very Low - 12.5
Baiting, setting and hauling in fishing gear
Very Low - 11.5
Cleaning, freezing, icing or salting catch on- or offshore
Very Low - 9.5
Preparing and repairing nets and other fishing gear and equipment
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
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.
- Hunters and trappers 91
- Subsistence fishers, hunters, trapper… 88.2
- Forestry and related workers 88.1
- Subsistence mixed crop and livestock … 88.1
- Subsistence crop farmers 87.4
- Subsistence livestock farmers 87.3
- Livestock and dairy producers 83
- Tree and shrub crop growers 82.9
- Mixed crop growers 82.8
- Inland and coastal waters fishery wor… 82.5
- Field crop and vegetable growers 82.4
- Gardeners, horticultural and nursery … 81.6
- Poultry producers 81.1
- Mixed crop and animal producers 81
- Animal producers not elsewhere classi… 80
- Apiarists and sericulturists 77.8
- Aquaculture workers 77.5