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AI Job Stats

Aquaculture workers

Not exposedExposure gradient (ILO 2025)

In the ILO's assessment few of the job's tasks can be done by generative AI, or the scores are too spread out to reach gradient 1 — generative AI does not meaningfully take over the core of the work.

Exposure is not job loss: it shows how much of the work generative AI could do today. Whether that turns into transformation, productivity gains or cuts depends on employers, regulation — and on you.

Exposure score
22/ 100 · ±15
050100
Average of all occupations: 30

0 = today’s generative AI cannot perform any of the job’s tasks, 100 = it could do all of them fully. The pale band is the spread across tasks.

Work out your own score ↓
Change since 2023
±0
2023 classification
Not affected

What can you do?

The AI analysis for this occupation is still being prepared — the background process covers a few occupations every day.

Task by task

The ILO scored every task of the occupation separately, as the average of two AI models (GPT-4o and Gemini). The pale band is the range between the two models' scores, the dot the ILO's final score (for a few tasks expert review placed it outside the band).

  • Delivering or marketing products56
  • Collecting and recording growth, production and environmental data44
  • Supervising and training aquaculture and fish hatchery support workers.28
  • Conducting and supervising stock examinations in order to identify diseases or parasites17
  • Monitoring environments to ensure maintenance of optimum conditions for aquatic life15
  • Breeding, raising and cultivating fish, mussels, oysters and other forms of aquatic life as cash crops or for release into freshwater or saltwater14
  • Directing and monitoring trapping and spawning of fish, egg incubation and fry rearing, applying knowledge of management and fish culturing techniques14
  • Renting or investing in buildings, equipment and machinery, and purchasing food and other supplies14
  • Cleaning, freezing, icing or salting catch on- or offshore, and preparing fish and other products for shipment13
  • Maintaining buildings, tanks, machinery, boats and other equipment12

How much does it affect you?

Every job is different: mark which of these tasks you do and how much, and we'll compute your own, time-weighted score.

For each task: I don't do it · sometimes · most of my job.

  • Delivering or marketing products(56)
  • Collecting and recording growth, production and environmental data(44)
  • Supervising and training aquaculture and fish hatchery support workers.(28)
  • Conducting and supervising stock examinations in order to identify diseases or parasites(17)
  • Monitoring environments to ensure maintenance of optimum conditions for aquatic life(15)
  • Breeding, raising and cultivating fish, mussels, oysters and other forms of aquatic life as cash crops or for release into freshwater or saltwater(14)
  • Directing and monitoring trapping and spawning of fish, egg incubation and fry rearing, applying knowledge of management and fish culturing techniques(14)
  • Renting or investing in buildings, equipment and machinery, and purchasing food and other supplies(14)
  • Cleaning, freezing, icing or salting catch on- or offshore, and preparing fish and other products for shipment(13)
  • Maintaining buildings, tanks, machinery, boats and other equipment(12)
Your estimated exposure score
22/ 100

You are exactly at the occupation average. (The occupation's score: 22.)

About 10% of your working time goes to highly exposed tasks (score ≥ 50).

Most affected
  • • Delivering or marketing products
  • • Collecting and recording growth, production and environmental data
Most likely to stay human
  • • Maintaining buildings, tanks, machinery, boats and other equipment
  • • Cleaning, freezing, icing or salting catch on- or offshore, and preparing fish and other products for shipment

An estimate from the ILO task scores. Everything is computed in your browser — nothing is sent or stored.

How many people work in this occupational group?

Share of the Market-oriented skilled forestry, fishery and hunting workers group in total employment, by country (Eurostat, ISCO 2-digit — 4-digit breakdowns are not public by country).

Market-oriented skilled forestry, fishery and hunting workers
Table view
CountryMarket-oriented skilled forestry, fishery and hunting workers
Iceland0.9% · 2 thousand · 2025
Latvia0.5% · 5 thousand · 2025
Norway0.4% · 12 thousand · 2025
Finland0.4% · 10 thousand · 2025
Slovakia0.4% · 9 thousand · 2025
Croatia0.3% · 5 thousand · 2025
Portugal0.3% · 16 thousand · 2025
Czechia0.3% · 14 thousand · 2025
Hungary0.3% · 12 thousand · 2025
Bulgaria0.3% · 8 thousand · 2025
Greece0.2% · 9 thousand · 2025
Lithuania0.2% · 3 thousand · 2025
Sweden0.2% · 10 thousand · 2025
Malta0.2% · 1 thousand · 2025
Romania0.2% · 13 thousand · 2025
France0.2% · 46 thousand · 2025
Italy0.1% · 34 thousand · 2025
Slovenia0.1% · 1 thousand · 2025
Spain0.1% · 27 thousand · 2025
Switzerland0.1% · 6 thousand · 2025
Austria0.1% · 5 thousand · 2025
United Kingdom0.1% · 36 thousand · 2025
Poland0.1% · 18 thousand · 2025
Denmark0.1% · 2 thousand · 2025
Germany0.1% · 21 thousand · 2025
Netherlands0.0% · 2 thousand · 2025
274 k
Market-oriented skilled forestry, fishery and hunting workers — EU27
Eurostat · 2025
0.1%
of all employed (EU27)

What do they earn?

Mean gross monthly earnings in the major occupational group (Skilled agricultural, forestry and fishery workers). Eurostat's earnings survey only publishes pay by occupation at 1 digit, so this is the job's broader group. Enterprises with 10+ employees, 2022.

€2,404
EU average (gross/month)
−16% compared with the average of all occupations

By country, at purchasing power parity (PPS/month), so countries with different price levels can be compared.

  1. Switzerland3,810
  2. Denmark3,077
  3. Norway2,863
  4. Luxembourg2,596
  5. Ireland2,457
  6. EU272,404
  7. Germany2,358
  8. Sweden2,193
  9. Finland2,149
  10. Italy2,137
  11. Netherlands2,083
  12. France1,931
  13. Spain1,780
  14. Slovenia1,689
  15. Malta1,516
  16. Greece1,475
  17. Latvia1,454
  18. Estonia1,427
  19. Poland1,425
  20. Lithuania1,398
  21. Czechia1,365
  22. Croatia1,348
  23. Romania1,348
  24. Cyprus1,311
  25. Slovakia1,189
  26. Portugal1,137
  27. Hungary1,120
  28. Bulgaria777

Source: Eurostat Structure of Earnings Survey (earn_ses22_21), every four years. The United Kingdom is not covered by the survey.

Outlook to 2035

Employment in the Market-oriented skilled forestry, fishery and hunting workers group according to Cedefop's 2026 forecast.

2.02.53.02.7201520192023202720312035

thousand · Cedefop Skills Forecast 2026 · 2026–2035: projection

+19.9%
Change 2025→2035
+450
Expansion
330
Replacement demand
780
Total expected openings

Replacement demand is the jobs left by people retiring or changing careers — even a shrinking occupation can have many openings.

Related occupations

Sources: ILO WP140 (2025) · Eurostat lfsa_egai2d · Cedefop Skills Forecast 2026 · WEF Future of Jobs 2025 · ESCO. The exposure score measures how much of an occupation's tasks generative AI could perform — not whether the job disappears. For information only, not career advice. How do we calculate this?