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AI Job Stats
ISCO-08 5241Sales workers

Fashion and other models

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
25/ 100 · ±6
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
+16
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).

  • Posing for still photography for magazines and other advertising media30
  • Posing for television, video and cinema commercials and other productions.30
  • Walking, turning and posing to demonstrate, to best advantage, style and characteristics of garments, fashion accessories and other merchandise25
  • Dressing in sample apparel of new or current styles or of type wanted by customer23
  • Posing as subject for sculpture, painting and other types of visual art17

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.

  • Posing for still photography for magazines and other advertising media(30)
  • Posing for television, video and cinema commercials and other productions.(30)
  • Walking, turning and posing to demonstrate, to best advantage, style and characteristics of garments, fashion accessories and other merchandise(25)
  • Dressing in sample apparel of new or current styles or of type wanted by customer(23)
  • Posing as subject for sculpture, painting and other types of visual art(17)
Your estimated exposure score
25/ 100

You are exactly at the occupation average. (The occupation's score: 25.)

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

Most affected
  • • Posing for still photography for magazines and other advertising media
  • • Posing for television, video and cinema commercials and other productions.
Most likely to stay human
  • • Posing as subject for sculpture, painting and other types of visual art
  • • Dressing in sample apparel of new or current styles or of type wanted by customer

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

Sales workers
Table view
CountrySales workers
Greece13.0% · 564 thousand · 2025
Spain9.9% · 2,207 thousand · 2025
Romania9.7% · 749 thousand · 2025
Bulgaria9.2% · 269 thousand · 2025
Italy7.4% · 1,770 thousand · 2025
Iceland7.3% · 16 thousand · 2025
Portugal7.3% · 380 thousand · 2025
Croatia7.2% · 123 thousand · 2025
Slovakia7.1% · 184 thousand · 2025
Austria6.7% · 302 thousand · 2025
Poland6.7% · 1,152 thousand · 2025
Denmark6.6% · 204 thousand · 2025
Norway6.4% · 187 thousand · 2025
Cyprus6.2% · 31 thousand · 2025
Hungary6.1% · 287 thousand · 2025
Netherlands6.1% · 598 thousand · 2025
Ireland5.8% · 163 thousand · 2025
Germany5.8% · 2,447 thousand · 2025
Slovenia5.6% · 56 thousand · 2025
Estonia5.6% · 39 thousand · 2025
Finland5.4% · 141 thousand · 2025
Malta5.3% · 17 thousand · 2025
Latvia5.3% · 47 thousand · 2025
Czechia5.2% · 273 thousand · 2025
Lithuania5.0% · 73 thousand · 2025
Belgium4.9% · 254 thousand · 2025
United Kingdom4.4% · 1,497 thousand · 2025
France4.3% · 1,268 thousand · 2025
Sweden3.9% · 205 thousand · 2025
Switzerland3.6% · 174 thousand · 2025
Luxembourg2.1% · 7 thousand · 2025
13.8 m
Sales workers — EU27
Eurostat · 2025
6.6%
of all employed (EU27)

What do they earn?

Mean gross monthly earnings in the major occupational group (Service and sales 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.

€2,105
EU average (gross/month)
−27% 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. Switzerland3,559
  2. Ireland2,981
  3. Iceland2,762
  4. Norway2,734
  5. Luxembourg2,698
  6. Belgium2,689
  7. Denmark2,619
  8. Germany2,310
  9. Sweden2,292
  10. Finland2,182
  11. Netherlands2,147
  12. Austria2,135
  13. EU272,105
  14. France2,099
  15. Italy2,088
  16. Slovenia1,822
  17. Malta1,773
  18. Spain1,759
  19. Lithuania1,577
  20. Czechia1,467
  21. Poland1,464
  22. Croatia1,458
  23. Greece1,421
  24. Cyprus1,410
  25. Slovakia1,403
  26. Romania1,372
  27. Hungary1,299
  28. Estonia1,266
  29. Portugal1,202
  30. Latvia1,186
  31. Bulgaria917

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 Sales workers group according to Cedefop's 2026 forecast.

406038201520192023202720312035

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

−23.4%
Change 2025→2035
−12 k
Expansion
12 k
Replacement demand
0
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?