Automation index
How much of a Textile engineer’s job can AI already do?
A dye recipe comes earlier. Getting the colour the same over ten thousand metres do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Textile engineer
27%
AI can already do 27% of this job.
#165 / 623
View rankingTextile engineer
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Recipes, weaves and piece QC.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Shop, looms and the warp break.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Supplier, cotton and the sustainability card.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Finishes, shrinkage and fastness tests.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The brand, the deadline and the colour that misses.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Ten thousand metres the same, and not hiding the bad yardage.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- dye recipes
- weaves
- looms
- colour fastness
- shrinkage
- piece card
- warp
- textile finishes
Sources for this job· O*NET 17-2199.00· ESCO/ISCO 2141
IS WORK OVER?
Music teacher
22%
#370 / 623
View rankingMusic teacher
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Score, tuning and the term plan.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Class, the one out of tune and the one who does not practise.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Rehearsal, the concert and the one who is ill.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Assess, auditions and not humiliating.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Families, the instrument and the one that will not fit at home.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Sound together, and not hating the instrument.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- scores
- tune
- concert rehearsals
- auditions
- instrument lessons
- out of tune
- families
- term plan
Sources for this job· O*NET 25-2031.00· ESCO/ISCO 2354