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AI Job Stats

Weaving and knitting machine operators

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
16/ 100 · ±3
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
+1
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).

  • Setting up and operating batteries of automatic, link-type knitting machines to knit garments of specified pattern and design22
  • Tending automatic looms that simultaneously weave pile yarn, filling yarn and warp yarn material to produce carpets and rugs with various coloured designs20
  • Examining looms to determine causes of loom stoppage, such as warp filling, harness breaks or mechanical defects20
  • Operating and monitoring large automatic multi-needle machines to embroider material or to sew lengths of several layers of material to make yard goods, quilts or mattress coverings18
  • Operating and monitoring loom on which yarn or twist is intersected and knotted at regular intervals to form mesh17
  • Tending circular knitting machines with automatic pattern controls that knit seamless hose17
  • Operating and monitoring knitting machines to knit hosiery to shape of foot and leg17
  • Operating and monitoring machine which seams openings in toes of socks16
  • Operating and monitoring machine for knitting heel and toes of socks into ribs or tops cut from circular fabric16
  • Operating and monitoring crochet machine to knit lace, trimming etc. of desired pattern or design16
  • Threading yarn, thread and fabric through guides, needles, and rollers of machines for weaving, knitting or other processing13
  • Repairing or replacing worn or defective needles and other components13
  • Cleaning, oiling, and lubricating machines, using air hoses, cleaning solutions, rags, oil cans, and/or grease guns.12

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.

  • Setting up and operating batteries of automatic, link-type knitting machines to knit garments of specified pattern and design(22)
  • Tending automatic looms that simultaneously weave pile yarn, filling yarn and warp yarn material to produce carpets and rugs with various coloured designs(20)
  • Examining looms to determine causes of loom stoppage, such as warp filling, harness breaks or mechanical defects(20)
  • Operating and monitoring large automatic multi-needle machines to embroider material or to sew lengths of several layers of material to make yard goods, quilts or mattress coverings(18)
  • Operating and monitoring loom on which yarn or twist is intersected and knotted at regular intervals to form mesh(17)
  • Tending circular knitting machines with automatic pattern controls that knit seamless hose(17)
  • Operating and monitoring knitting machines to knit hosiery to shape of foot and leg(17)
  • Operating and monitoring machine which seams openings in toes of socks(16)
  • Operating and monitoring machine for knitting heel and toes of socks into ribs or tops cut from circular fabric(16)
  • Operating and monitoring crochet machine to knit lace, trimming etc. of desired pattern or design(16)
  • Threading yarn, thread and fabric through guides, needles, and rollers of machines for weaving, knitting or other processing(13)
  • Repairing or replacing worn or defective needles and other components(13)
  • Cleaning, oiling, and lubricating machines, using air hoses, cleaning solutions, rags, oil cans, and/or grease guns.(12)
Your estimated exposure score
16/ 100

You are exactly at the occupation average. (The occupation's score: 16.)

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

Most affected
  • • Setting up and operating batteries of automatic, link-type knitting machines to knit garments of specified pattern and design
  • • Tending automatic looms that simultaneously weave pile yarn, filling yarn and warp yarn material to produce carpets and rugs with various coloured designs
Most likely to stay human
  • • Cleaning, oiling, and lubricating machines, using air hoses, cleaning solutions, rags, oil cans, and/or grease guns.
  • • Repairing or replacing worn or defective needles and other components

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 Stationary plant and machine operators group in total employment, by country (Eurostat, ISCO 2-digit — 4-digit breakdowns are not public by country).

Stationary plant and machine operators
Table view
CountryStationary plant and machine operators
Bulgaria3.9% · 114 thousand · 2025
Hungary3.7% · 171 thousand · 2025
Romania3.3% · 254 thousand · 2025
Slovenia3.3% · 33 thousand · 2025
Czechia3.2% · 167 thousand · 2025
Slovakia3.1% · 81 thousand · 2025
Portugal3.0% · 159 thousand · 2025
Estonia2.8% · 19 thousand · 2025
Croatia2.8% · 47 thousand · 2025
Poland2.7% · 462 thousand · 2025
Italy2.6% · 620 thousand · 2025
Finland2.3% · 59 thousand · 2025
France2.0% · 594 thousand · 2025
Norway2.0% · 58 thousand · 2025
Spain1.9% · 427 thousand · 2025
Germany1.9% · 784 thousand · 2025
Belgium1.8% · 93 thousand · 2025
Lithuania1.7% · 26 thousand · 2025
Denmark1.5% · 46 thousand · 2025
Greece1.5% · 64 thousand · 2025
Latvia1.4% · 12 thousand · 2025
Switzerland1.3% · 61 thousand · 2025
Ireland1.2% · 34 thousand · 2025
Austria1.2% · 55 thousand · 2025
Sweden1.1% · 59 thousand · 2025
Cyprus1.0% · 5 thousand · 2025
United Kingdom0.8% · 288 thousand · 2025
Malta0.8% · 3 thousand · 2025
Iceland0.8% · 2 thousand · 2025
Netherlands0.6% · 63 thousand · 2025
4.45 m
Stationary plant and machine operators — EU27
Eurostat · 2025
2.1%
of all employed (EU27)

What do they earn?

Mean gross monthly earnings in the major occupational group (Plant and machine operators and assemblers). 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.

€2,188
EU average (gross/month)
−24% 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. Switzerland3,902
  2. Denmark3,581
  3. Norway3,391
  4. Iceland3,272
  5. Ireland3,013
  6. Belgium3,003
  7. Luxembourg2,848
  8. Finland2,711
  9. Austria2,708
  10. Netherlands2,689
  11. Germany2,646
  12. Sweden2,578
  13. Italy2,397
  14. EU272,188
  15. Spain2,169
  16. France2,125
  17. Slovenia1,961
  18. Poland1,931
  19. Lithuania1,895
  20. Cyprus1,832
  21. Malta1,828
  22. Greece1,726
  23. Estonia1,653
  24. Romania1,652
  25. Hungary1,630
  26. Croatia1,623
  27. Czechia1,621
  28. Latvia1,590
  29. Slovakia1,571
  30. Portugal1,289
  31. Bulgaria1,106

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 Stationary plant and machine operators group according to Cedefop's 2026 forecast.

404542201520192023202720312035

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

−1.2%
Change 2025→2035
−520
Expansion
10 k
Replacement demand
10 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?