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 / 633
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?
Workshop teacher
19%
#509 / 633
View rankingWorkshop 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 |
|---|---|---|---|
Sheet, material and the station.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Shop, the machine and the one without glasses.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
The piece, the error and doing it again.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Assess, the portfolio and not giving the pass away.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The firm, the placement and the one who does not fit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
The piece made, and no cuts.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- practical sheets
- shop machines
- glasses
- portfolio
- firm placements
- shop stations
- shop safety
- pieces
Sources for this job· O*NET 25-2032.00· ESCO/ISCO 2320