Skip to content
AI Job Stats

Kitchen helpers

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
13/ 100 · ±2
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
+5
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).

  • Unpacking checking, transferring, weighing and storing supplies in refrigerators, cupboards and other storage areas15
  • Assembling dishes for service14
  • Assisting cooks and chefs in preparation of food by washing, peeling, chopping, cutting, measuring and mixing ingredients14
  • Washing dishes and cooking utensils and putting them away13
  • Cleaning kitchens, food preparation areas and service areas12
  • Preparing, cooking, toasting and heating simple food items.10

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.

  • Unpacking checking, transferring, weighing and storing supplies in refrigerators, cupboards and other storage areas(15)
  • Assembling dishes for service(14)
  • Assisting cooks and chefs in preparation of food by washing, peeling, chopping, cutting, measuring and mixing ingredients(14)
  • Washing dishes and cooking utensils and putting them away(13)
  • Cleaning kitchens, food preparation areas and service areas(12)
  • Preparing, cooking, toasting and heating simple food items.(10)
Your estimated exposure score
13/ 100

You are exactly at the occupation average. (The occupation's score: 13.)

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

Most affected
  • • Unpacking checking, transferring, weighing and storing supplies in refrigerators, cupboards and other storage areas
  • • Assembling dishes for service
Most likely to stay human
  • • Preparing, cooking, toasting and heating simple food items.
  • • Cleaning kitchens, food preparation areas and service areas

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 preparation assistants group in total employment, by country (Eurostat, ISCO 2-digit — 4-digit breakdowns are not public by country).

Food preparation assistants
Table view
CountryFood preparation assistants
United Kingdom2.5% · 847 thousand · 2025
Denmark1.8% · 55 thousand · 2025
Ireland1.7% · 47 thousand · 2025
Sweden1.4% · 73 thousand · 2025
Cyprus1.4% · 7 thousand · 2025
Finland1.2% · 30 thousand · 2025
Greece1.0% · 44 thousand · 2025
Estonia1.0% · 7 thousand · 2025
Belgium1.0% · 51 thousand · 2025
Hungary1.0% · 46 thousand · 2025
Slovenia0.9% · 9 thousand · 2025
Spain0.9% · 195 thousand · 2025
Portugal0.9% · 46 thousand · 2025
Austria0.9% · 38 thousand · 2025
Netherlands0.8% · 83 thousand · 2025
Germany0.8% · 345 thousand · 2025
Malta0.8% · 3 thousand · 2025
Latvia0.8% · 7 thousand · 2025
Iceland0.7% · 2 thousand · 2025
France0.7% · 205 thousand · 2025
Norway0.7% · 20 thousand · 2025
Switzerland0.6% · 29 thousand · 2025
Slovakia0.5% · 14 thousand · 2025
Poland0.5% · 84 thousand · 2025
Lithuania0.5% · 7 thousand · 2025
Bulgaria0.4% · 13 thousand · 2025
Italy0.4% · 100 thousand · 2025
Croatia0.3% · 5 thousand · 2025
Czechia0.2% · 12 thousand · 2025
Romania0.2% · 16 thousand · 2025
1.54 m
Food preparation assistants — EU27
Eurostat · 2025
0.7%
of all employed (EU27)

What do they earn?

Mean gross monthly earnings in the major occupational group (Elementary occupations). 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.

€1,835
EU average (gross/month)
−36% 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. Switzerland3,328
  2. Denmark2,741
  3. Iceland2,731
  4. Norway2,674
  5. Belgium2,613
  6. Ireland2,273
  7. Luxembourg2,269
  8. Sweden2,059
  9. Austria1,998
  10. Finland1,979
  11. Germany1,973
  12. Italy1,928
  13. France1,870
  14. EU271,835
  15. Netherlands1,710
  16. Spain1,658
  17. Slovenia1,626
  18. Malta1,498
  19. Poland1,413
  20. Greece1,378
  21. Lithuania1,349
  22. Cyprus1,331
  23. Romania1,288
  24. Croatia1,241
  25. Czechia1,218
  26. Estonia1,181
  27. Slovakia1,165
  28. Latvia1,119
  29. Portugal1,102
  30. Hungary1,057
  31. Bulgaria844

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 preparation assistants group according to Cedefop's 2026 forecast.

5.02.4201520192023202720312035

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

+1.3%
Change 2025→2035
+30
Expansion
690
Replacement demand
720
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?