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AI Job Stats

Bookmakers, croupiers and related gaming workers

Gradient 2 · MediumExposure gradient (ILO 2025)

A substantial share of tasks can be sped up or taken over by AI. The content of the job will noticeably change — learning is cheapest now.

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
45/ 100 · ±19
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
−7
2023 classification
Uncertain

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).

  • Preparing and issuing lists of approximate odds65
  • Determining risks to decide odds and to hedge or refuse bets56
  • Announcing winning numbers, paying winners and collecting payments from losers.49
  • Explaining and interpreting operating rules of a gambling establishment35
  • Distributing cards, rolling dice or spinning a roulette wheel18

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.

  • Preparing and issuing lists of approximate odds(65)
  • Determining risks to decide odds and to hedge or refuse bets(56)
  • Announcing winning numbers, paying winners and collecting payments from losers.(49)
  • Explaining and interpreting operating rules of a gambling establishment(35)
  • Distributing cards, rolling dice or spinning a roulette wheel(18)
Your estimated exposure score
45/ 100

You are exactly at the occupation average. (The occupation's score: 45.)

About 40% of your working time goes to highly exposed tasks (score ≥ 50).

Most affected
  • • Preparing and issuing lists of approximate odds
  • • Determining risks to decide odds and to hedge or refuse bets
Most likely to stay human
  • • Distributing cards, rolling dice or spinning a roulette wheel
  • • Explaining and interpreting operating rules of a gambling establishment

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

Customer services clerks
Table view
CountryCustomer services clerks
Spain4.1% · 914 thousand · 2025
United Kingdom3.7% · 1,247 thousand · 2025
Malta2.8% · 9 thousand · 2025
Italy2.2% · 522 thousand · 2025
Switzerland2.1% · 101 thousand · 2025
Portugal2.0% · 107 thousand · 2025
Ireland2.0% · 57 thousand · 2025
Greece2.0% · 87 thousand · 2025
Latvia2.0% · 18 thousand · 2025
Estonia1.9% · 13 thousand · 2025
Netherlands1.9% · 187 thousand · 2025
Cyprus1.9% · 9 thousand · 2025
Bulgaria1.7% · 51 thousand · 2025
Iceland1.7% · 4 thousand · 2025
Belgium1.7% · 86 thousand · 2025
Croatia1.6% · 28 thousand · 2025
Finland1.5% · 39 thousand · 2025
Austria1.5% · 66 thousand · 2025
Hungary1.3% · 63 thousand · 2025
Germany1.3% · 571 thousand · 2025
Czechia1.3% · 68 thousand · 2025
Slovenia1.2% · 12 thousand · 2025
France1.2% · 351 thousand · 2025
Sweden1.1% · 60 thousand · 2025
Denmark1.1% · 35 thousand · 2025
Norway1.1% · 32 thousand · 2025
Lithuania1.0% · 15 thousand · 2025
Slovakia1.0% · 27 thousand · 2025
Romania0.8% · 65 thousand · 2025
Poland0.8% · 143 thousand · 2025
3.61 m
Customer services clerks — EU27
Eurostat · 2025
1.7%
of all employed (EU27)

What do they earn?

Mean gross monthly earnings in the major occupational group (Clerical support 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.

€2,590
EU average (gross/month)
−10% 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. Switzerland4,326
  2. Luxembourg3,358
  3. Denmark3,338
  4. Belgium3,291
  5. Norway3,160
  6. Germany2,927
  7. Ireland2,900
  8. Iceland2,825
  9. Austria2,768
  10. Netherlands2,680
  11. EU272,590
  12. Italy2,521
  13. Sweden2,451
  14. Finland2,386
  15. Spain2,121
  16. Slovenia2,111
  17. Malta2,089
  18. Lithuania2,049
  19. France2,018
  20. Croatia1,847
  21. Greece1,837
  22. Poland1,796
  23. Romania1,755
  24. Estonia1,740
  25. Czechia1,725
  26. Cyprus1,685
  27. Hungary1,682
  28. Latvia1,617
  29. Slovakia1,583
  30. Portugal1,421
  31. Bulgaria1,203

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 Customer services clerks group according to Cedefop's 2026 forecast.

200250196201520192023202720312035

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

−10.7%
Change 2025→2035
−24 k
Expansion
47 k
Replacement demand
23 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?