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

Strength and conditioning coach

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
Load, GPS and the microcycle.
Estimate

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

16%40%+6.4
Gym, the pattern and the one who cheats.
Estimate

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

18%14%+2.5
Rehab, the injured and not rushing the return.
Estimate

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

16%28%+4.5
Report, the manager and the fight over minutes.
Estimate

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

16%22%+3.5
The peak, pre-season and not grinding them.
Estimate

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

18%18%+3.2
Ready, and not broken.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • load
  • training GPS
  • microcycles
  • rehab
  • movement pattern
  • pre-season
  • reports to the manager
  • the gym

Sources for this job· O*NET 29-9091.00· ESCO/ISCO 3423

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