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.
#168 / 663
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?
Environmental health officer
22%
#412 / 663
View rankingEnvironmental health officer
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 |
|---|---|---|---|
Inspection, the report and the sample.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Kitchen, the cold and the one that never gets there.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Water, the analysis and the village.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Shut it, the mayor and not yielding.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The outbreak, the source and not delaying.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Shut the kitchen, and not looking away.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
- inspection reports
- food safety
- water samples
- shut kitchens
- temperatures
- food outbreaks
- mayors
- not yield
Sources for this job· O*NET 19-5011.00· ESCO/ISCO 2263