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AI Job Stats

Enquiry clerks

Gradient 3 · HighExposure gradient (ILO 2025)

Most tasks score high and the scores agree. Expect the role to be reorganised.

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
57/ 100 · ±9
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
−15
2023 classification
Automation potential

What can you do?

🤖 Written with AIThis text was written by artificial intelligence from the data points shown; it is built on verified figures but may contain mistakes.· 12/10/2026How is it made?

With an exposure score 57/100, enquiry clerks face automation in routine advice and documentation, but stable employment demand remains driven by high replacement needs and complex customer escalations.

What changes

  • AI chatbots increasingly resolve routine problem inquiries and provide first-line troubleshooting advice automatically.
  • Automated distribution systems handle issuing digital forms, information kits, and brochures to users.
  • Self-service engines answer standard questions regarding product availability, pricing, store locations, and organizational policies.

What stays human

  • Triage and evaluation when referring ambiguous, sensitive, or high-stakes inquiries to specialized advisers.
  • De-escalating emotionally charged customer grievances and navigating policy edge cases requiring empathetic judgment.
  • Providing in-person assistance and reassurance for vulnerable patrons struggling with digital self-service systems.

What to learn

  • Mastering omnichannel CRM platforms and managing handoffs between automated bots and human agents.
  • Developing conflict de-escalation, active listening, and empathetic communication for complex customer disputes.
  • Learning basic workflow orchestration and knowledge-base curation to keep automated information accurate.

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).

  • Responding to inquiries about problems and providing advice, information and assistance67
  • Issuing relevant forms, information kits and brochures to interested parties.66
  • Answering inquiries about goods services, and policy and providing information about their availability, location, price and related issues56
  • Recording information about inquiries and complaints52
  • Referring complex inquiries to team leaders or expert advisers47

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.

  • Responding to inquiries about problems and providing advice, information and assistance(67)
  • Issuing relevant forms, information kits and brochures to interested parties.(66)
  • Answering inquiries about goods services, and policy and providing information about their availability, location, price and related issues(56)
  • Recording information about inquiries and complaints(52)
  • Referring complex inquiries to team leaders or expert advisers(47)
Your estimated exposure score
57/ 100

You are exactly at the occupation average. (The occupation's score: 57.)

About 80% of your working time goes to highly exposed tasks (score ≥ 50).

Most affected
  • • Responding to inquiries about problems and providing advice, information and assistance
  • • Issuing relevant forms, information kits and brochures to interested parties.
Most likely to stay human
  • • Referring complex inquiries to team leaders or expert advisers
  • • Recording information about inquiries and complaints

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?