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?

19%

#512 / 623

Power-plant operator

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
Set-point, parameters and the log. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Room, alarms and the one that trips. Estimate No public source provides a precise figure. This is our estimate.	22%	8%	+1.8
Start, stop and not skipping the SOP. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Maintenance, isolation and the permit. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The peak, the grid and not forcing it. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
The set-point, and not tripping. Estimate No 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