IS WORK OVER?

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

Textile 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.

TaskShareAIPoints
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
Total100%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

Shepherd

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.

TaskShareAIPoints
Route, grazing and the day’s log.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Flock, dogs and the wolf.
Estimate

No public source provides a precise figure. This is our estimate.

24%6%+1.4
Shearing, lambing and the one that stays.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Cheese, milk and dealing with the dairy.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The hill, the snow and not missing the pass.
Estimate

No public source provides a precise figure. This is our estimate.

14%18%+2.5
The whole flock, and not leaving one behind.
Estimate

No public source provides a precise figure. This is our estimate.

14%10%+1.4
Total100%18%

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

Skills and activities

  • run the flock
  • sheepdogs
  • lambing
  • shearing
  • the wolf
  • passes
  • ewe’s milk
  • hill grazing

Sources for this job· O*NET 45-2093.00· ESCO/ISCO 6121

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