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AI Job Stats

Pelt dressers, tanners and fellmongers

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
11/ 100 · ±3
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).

  • Sorting and grading pelts, hides and skins according to colour, shading, size and density15
  • Dressing and applying dyes and stains to leather15
  • Seasoning leather by applying chemical solution or oil evenly on surface by hand brush and allowing it to dry in open air.14
  • Tinting or dyeing furs to enhance natural shades of fur13
  • Preparing bark and myrobalan liquor for treating hides or skins13
  • Removing wrinkles and setting grains on wet hide or skin12
  • Treating hides and skins in tanning solution to convert them into leather11
  • Tanning and dressing pelts to improve lustre and beauty or restore natural appearance of pelts10
  • Stretching and smoothing dressed pelts10
  • Preparing hides by curing them with salt10
  • Removing hair from skin or hides soaked in lime water7
  • Scraping particles of flesh, fat or protective tissue from skins or pelts to clean and soften them7
  • Removing long, coarse hair from pelts and trimming underlying hair to even length7

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.

  • Sorting and grading pelts, hides and skins according to colour, shading, size and density(15)
  • Dressing and applying dyes and stains to leather(15)
  • Seasoning leather by applying chemical solution or oil evenly on surface by hand brush and allowing it to dry in open air.(14)
  • Tinting or dyeing furs to enhance natural shades of fur(13)
  • Preparing bark and myrobalan liquor for treating hides or skins(13)
  • Removing wrinkles and setting grains on wet hide or skin(12)
  • Treating hides and skins in tanning solution to convert them into leather(11)
  • Tanning and dressing pelts to improve lustre and beauty or restore natural appearance of pelts(10)
  • Stretching and smoothing dressed pelts(10)
  • Preparing hides by curing them with salt(10)
  • Removing hair from skin or hides soaked in lime water(7)
  • Scraping particles of flesh, fat or protective tissue from skins or pelts to clean and soften them(7)
  • Removing long, coarse hair from pelts and trimming underlying hair to even length(7)
Your estimated exposure score
11/ 100

You are exactly at the occupation average. (The occupation's score: 11.)

About 0% of your working time goes to highly exposed tasks (score ≥ 50).

Most affected
  • • Sorting and grading pelts, hides and skins according to colour, shading, size and density
  • • Dressing and applying dyes and stains to leather
Most likely to stay human
  • • Scraping particles of flesh, fat or protective tissue from skins or pelts to clean and soften them
  • • Removing long, coarse hair from pelts and trimming underlying hair to even length

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 Food processing, wood working, garment and other craft and related trades workers group in total employment, by country (Eurostat, ISCO 2-digit — 4-digit breakdowns are not public by country).

Food processing, wood working, garment and other craft and related trades workers
Table view
CountryFood processing, wood working, garment and other craft and related trades workers
Romania3.2% · 250 thousand · 2025
Portugal2.9% · 150 thousand · 2025
Latvia2.8% · 25 thousand · 2025
Poland2.8% · 488 thousand · 2025
Lithuania2.8% · 41 thousand · 2025
Bulgaria2.7% · 80 thousand · 2025
Slovakia2.6% · 69 thousand · 2025
Slovenia2.5% · 25 thousand · 2025
Italy2.5% · 590 thousand · 2025
Hungary2.3% · 109 thousand · 2025
Czechia2.1% · 112 thousand · 2025
Greece1.9% · 82 thousand · 2025
Estonia1.8% · 13 thousand · 2025
Croatia1.7% · 30 thousand · 2025
Ireland1.7% · 48 thousand · 2025
Malta1.7% · 6 thousand · 2025
France1.6% · 458 thousand · 2025
Spain1.5% · 343 thousand · 2025
Germany1.5% · 636 thousand · 2025
Austria1.5% · 66 thousand · 2025
Belgium1.2% · 60 thousand · 2025
Iceland1.2% · 3 thousand · 2025
Switzerland1.1% · 54 thousand · 2025
Cyprus1.0% · 5 thousand · 2025
Netherlands0.8% · 78 thousand · 2025
Finland0.8% · 21 thousand · 2025
United Kingdom0.6% · 211 thousand · 2025
Denmark0.5% · 16 thousand · 2025
Sweden0.5% · 25 thousand · 2025
Norway0.4% · 12 thousand · 2025
3.83 m
Food processing, wood working, garment and other craft and related trades workers — EU27
Eurostat · 2025
1.8%
of all employed (EU27)

What do they earn?

Mean gross monthly earnings in the major occupational group (Craft and related trades 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.

€2,364
EU average (gross/month)
−18% 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. Switzerland4,098
  2. Iceland3,826
  3. Denmark3,666
  4. Norway3,260
  5. Belgium2,979
  6. Germany2,859
  7. Luxembourg2,760
  8. Sweden2,733
  9. Netherlands2,717
  10. Austria2,715
  11. Finland2,711
  12. EU272,364
  13. Italy2,314
  14. Ireland2,200
  15. Spain2,124
  16. France2,122
  17. Malta2,032
  18. Slovenia2,012
  19. Lithuania2,008
  20. Greece1,799
  21. Estonia1,795
  22. Poland1,787
  23. Czechia1,781
  24. Cyprus1,751
  25. Romania1,734
  26. Hungary1,684
  27. Latvia1,680
  28. Slovakia1,672
  29. Croatia1,505
  30. Portugal1,285
  31. Bulgaria1,217

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 Food processing, wood working, garment and other craft and related trades workers group according to Cedefop's 2026 forecast.

455044201520192023202720312035

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

−8.6%
Change 2025→2035
−4 k
Expansion
10 k
Replacement demand
6 k
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?