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AI Job Stats

Meter readers and vending-machine collectors

Gradient 1 · LowExposure gradient (ILO 2025)

Some tasks can be well supported by AI, but most still need human work. Transformation rather than replacement.

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
38/ 100 · ±21
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
+2
2023 classification
Augmentation potential

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).

  • Reading electricity, gas or water meters and recording consumption75
  • Keeping records of merchandise distributed and money collected58
  • Verifying readings in cases where consumption appears to be abnormal, and record possible reasons for fluctuations35
  • Proceeding along established routes to take readings of meter dials32
  • Inspecting meters for unauthorized connections, defects and damage such as broken seals.27
  • Collecting money from parking meters and similar coinboxes19
  • Filling storage areas of vending machines and collecting money from their containers18

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.

  • Reading electricity, gas or water meters and recording consumption(75)
  • Keeping records of merchandise distributed and money collected(58)
  • Verifying readings in cases where consumption appears to be abnormal, and record possible reasons for fluctuations(35)
  • Proceeding along established routes to take readings of meter dials(32)
  • Inspecting meters for unauthorized connections, defects and damage such as broken seals.(27)
  • Collecting money from parking meters and similar coinboxes(19)
  • Filling storage areas of vending machines and collecting money from their containers(18)
Your estimated exposure score
38/ 100

You are exactly at the occupation average. (The occupation's score: 38.)

About 29% of your working time goes to highly exposed tasks (score ≥ 50).

Most affected
  • • Reading electricity, gas or water meters and recording consumption
  • • Keeping records of merchandise distributed and money collected
Most likely to stay human
  • • Filling storage areas of vending machines and collecting money from their containers
  • • Collecting money from parking meters and similar coinboxes

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

Refuse workers and other elementary workers
Table view
CountryRefuse workers and other elementary workers
Estonia2.7% · 19 thousand · 2025
Bulgaria2.5% · 73 thousand · 2025
Latvia2.1% · 19 thousand · 2025
Italy2.1% · 505 thousand · 2025
Lithuania1.8% · 27 thousand · 2025
Malta1.8% · 6 thousand · 2025
Slovenia1.7% · 17 thousand · 2025
Denmark1.5% · 45 thousand · 2025
Romania1.4% · 110 thousand · 2025
Portugal1.3% · 67 thousand · 2025
Greece1.2% · 50 thousand · 2025
Hungary1.1% · 51 thousand · 2025
United Kingdom1.0% · 334 thousand · 2025
Ireland1.0% · 27 thousand · 2025
Slovakia0.9% · 23 thousand · 2025
Cyprus0.9% · 4 thousand · 2025
Spain0.8% · 184 thousand · 2025
Belgium0.8% · 40 thousand · 2025
France0.7% · 207 thousand · 2025
Croatia0.6% · 11 thousand · 2025
Czechia0.6% · 32 thousand · 2025
Poland0.5% · 93 thousand · 2025
Germany0.5% · 229 thousand · 2025
Iceland0.5% · 1 thousand · 2025
Austria0.5% · 21 thousand · 2025
Finland0.4% · 11 thousand · 2025
Norway0.4% · 12 thousand · 2025
Sweden0.4% · 22 thousand · 2025
Netherlands0.3% · 34 thousand · 2025
Switzerland0.3% · 13 thousand · 2025
1.93 m
Refuse workers and other elementary workers — EU27
Eurostat · 2025
0.9%
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 Refuse workers and other elementary workers group according to Cedefop's 2026 forecast.

2,0002,2002,4002,418201520192023202720312035

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

+11.4%
Change 2025→2035
+247 k
Expansion
599 k
Replacement demand
846 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?