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AI Job Stats

Fast food preparers

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
18/ 100 · ±5
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
+6
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).

  • Taking and serving food and beverage orders in eating places that specialize in fast service and carry-out food25
  • Ordering and taking delivery of fast food ingredients24
  • Maintaining sanitation, health, and safety standards in work areas23
  • Verifying that prepared food meets requirements for quality and quantity.21
  • Operating large-volume single-process cooking equipment such as grills, deep-fat fryers or griddles17
  • Preparing simple or pre-prepared foods and beverages such as sandwiches, hamburgers, pizzas, fish and chips, salads and coffee16
  • Washing, cutting, measuring and mixing foods for cooking14
  • Cleaning food preparation areas, cooking surfaces and utensils14
  • Re-heating pre-prepared food13

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.

  • Taking and serving food and beverage orders in eating places that specialize in fast service and carry-out food(25)
  • Ordering and taking delivery of fast food ingredients(24)
  • Maintaining sanitation, health, and safety standards in work areas(23)
  • Verifying that prepared food meets requirements for quality and quantity.(21)
  • Operating large-volume single-process cooking equipment such as grills, deep-fat fryers or griddles(17)
  • Preparing simple or pre-prepared foods and beverages such as sandwiches, hamburgers, pizzas, fish and chips, salads and coffee(16)
  • Washing, cutting, measuring and mixing foods for cooking(14)
  • Cleaning food preparation areas, cooking surfaces and utensils(14)
  • Re-heating pre-prepared food(13)
Your estimated exposure score
18/ 100

You are exactly at the occupation average. (The occupation's score: 18.)

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

Most affected
  • • Taking and serving food and beverage orders in eating places that specialize in fast service and carry-out food
  • • Ordering and taking delivery of fast food ingredients
Most likely to stay human
  • • Re-heating pre-prepared food
  • • Cleaning food preparation areas, cooking surfaces and utensils

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.

203036201520192023202720312035

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

+12.5%
Change 2025→2035
+4 k
Expansion
11 k
Replacement demand
15 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?