Vehicle cleaners
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.
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 ↓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).
- Applying cleaning agents to remove stains from vehicle exteriors and interiors10
- Washing and polishing vehicle windows10
- Emptying and cleaning compartments in vehicles.10
- Vacuuming vehicle interiors and dry-cleaning carpets and upholstery9
- Cleaning, washing and polishing cars and other vehicles, by hand or using hand-held power tools8
- Washing tyres and wheel arches and blackening tyres8
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.
- Applying cleaning agents to remove stains from vehicle exteriors and interiors(10)
- Washing and polishing vehicle windows(10)
- Emptying and cleaning compartments in vehicles.(10)
- Vacuuming vehicle interiors and dry-cleaning carpets and upholstery(9)
- Cleaning, washing and polishing cars and other vehicles, by hand or using hand-held power tools(8)
- Washing tyres and wheel arches and blackening tyres(8)
You are exactly at the occupation average. (The occupation's score: 9.)
About 0% of your working time goes to highly exposed tasks (score ≥ 50).
- • Applying cleaning agents to remove stains from vehicle exteriors and interiors
- • Washing and polishing vehicle windows
- • Washing tyres and wheel arches and blackening tyres
- • Cleaning, washing and polishing cars and other vehicles, by hand or using hand-held power tools
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 Cleaners and helpers group in total employment, by country (Eurostat, ISCO 2-digit — 4-digit breakdowns are not public by country).
Table view
| Country | Cleaners and helpers |
|---|---|
| Cyprus | 8.1% · 41 thousand · 2025 |
| Spain | 5.3% · 1,183 thousand · 2025 |
| Belgium | 4.5% · 232 thousand · 2025 |
| Italy | 4.1% · 976 thousand · 2025 |
| Portugal | 4.0% · 212 thousand · 2025 |
| France | 4.0% · 1,170 thousand · 2025 |
| Luxembourg | 3.8% · 13 thousand · 2025 |
| Malta | 3.5% · 12 thousand · 2025 |
| Lithuania | 3.5% · 51 thousand · 2025 |
| Austria | 3.3% · 146 thousand · 2025 |
| Finland | 3.0% · 79 thousand · 2025 |
| Slovenia | 2.9% · 29 thousand · 2025 |
| Germany | 2.9% · 1,224 thousand · 2025 |
| Croatia | 2.9% · 49 thousand · 2025 |
| Estonia | 2.6% · 18 thousand · 2025 |
| Greece | 2.5% · 107 thousand · 2025 |
| Hungary | 2.5% · 115 thousand · 2025 |
| Switzerland | 2.4% · 116 thousand · 2025 |
| Latvia | 2.4% · 21 thousand · 2025 |
| Netherlands | 2.3% · 223 thousand · 2025 |
| Denmark | 2.2% · 67 thousand · 2025 |
| Czechia | 2.0% · 105 thousand · 2025 |
| Poland | 1.9% · 333 thousand · 2025 |
| United Kingdom | 1.8% · 626 thousand · 2025 |
| Slovakia | 1.8% · 47 thousand · 2025 |
| Norway | 1.8% · 51 thousand · 2025 |
| Romania | 1.7% · 127 thousand · 2025 |
| Iceland | 1.6% · 4 thousand · 2025 |
| Ireland | 1.6% · 45 thousand · 2025 |
| Sweden | 1.6% · 82 thousand · 2025 |
| Bulgaria | 1.4% · 42 thousand · 2025 |
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.
By country, at purchasing power parity (PPS/month), so countries with different price levels can be compared.
- Switzerland3,328
- Denmark2,741
- Iceland2,731
- Norway2,674
- Belgium2,613
- Ireland2,273
- Luxembourg2,269
- Sweden2,059
- Austria1,998
- Finland1,979
- Germany1,973
- Italy1,928
- France1,870
- EU271,835
- Netherlands1,710
- Spain1,658
- Slovenia1,626
- Malta1,498
- Poland1,413
- Greece1,378
- Lithuania1,349
- Cyprus1,331
- Romania1,288
- Croatia1,241
- Czechia1,218
- Estonia1,181
- Slovakia1,165
- Latvia1,119
- Portugal1,102
- Hungary1,057
- 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 Cleaners and helpers group according to Cedefop's 2026 forecast.
thousand · Cedefop Skills Forecast 2026 · 2026–2035: projection
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?