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?
Cartographer
31%
#31 / 623
View rankingCartographer
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 |
|---|---|---|---|
Sources, OSM, satellite and generalisation.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Symbology, type and visual hierarchy.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Projections, scales and getting the heights right.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Review with the client, the field and the lie in the data.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Print maps, web maps and updates.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Credit, metadata and owning the map.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- make maps
- generalise cartography
- symbology
- choose projection
- visual hierarchy
- update OSM
- web maps
- maps that do not lie
Sources for this job· O*NET 17-1021.00· ESCO/ISCO 2165