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?

27%

AI can already do 27% of this job.

#165 / 623

Textile engineer

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. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Shop, looms and the warp break. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Supplier, cotton and the sustainability card. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
Finishes, shrinkage and fastness tests. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The brand, the deadline and the colour that misses. Estimate No 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. Estimate No 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

IS WORK OVER?

23%

#300 / 623

Alarm installer

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
Diagram, zones and programming the panel. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Wire, sensors and the detector that trips alone. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
ARC, tests and the connection note. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Train the user and the fob that gets lost. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
The lived-in flat, the brick and not breaking extra. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
No false alarms, and a real call-out. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		23%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low