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

Cabin manager

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
Briefing, door assignment and the log.
Estimate

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

16%36%+5.8
Cabin, the difficult passenger and turbulence.
Estimate

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

22%8%+1.8
Service, allergies and the one who is ill.
Estimate

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

16%22%+3.5
Safety, the demo and the kit.
Estimate

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

16%28%+4.5
Delay, overbooking and the one who will not sit.
Estimate

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

16%18%+2.9
Evacuate for real, and sign the cabin.
Estimate

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

14%12%+1.7
Total100%20%

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

Skills and activities

  • cabin briefing
  • assign doors
  • difficult passenger
  • safety demo
  • onboard allergies
  • overbooking
  • evacuate
  • turbulence

Sources for this job· O*NET 53-2031.00· ESCO/ISCO 5111

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