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

Physicist

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
Simulate, fit and reduce data.
Estimate

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

22%50%+11
Draft papers, posters and proposals.
Estimate

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

18%42%+7.6
Design the experiment and the apparatus.
Estimate

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

16%18%+2.9
Measure in the lab or in the field.
Estimate

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

16%12%+1.9
Argue with the group and peer-review.
Estimate

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

14%15%+2.1
Win machine time and funding.
Estimate

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

14%16%+2.2
Total100%28%

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

Skills and activities

  • Simulate, fit and reduce data
  • Draft papers, posters and proposals
  • Design the experiment and the apparatus
  • Measure in the lab or in the field
  • Argue with the group and peer-review
  • Win machine time and funding
  • fisico
  • physicist

Sources for this job· O*NET 19-2012.00· ESCO/ISCO 2111

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