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

Environmental health officer

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
Inspection, the report and the sample.
Estimate

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

16%40%+6.4
Kitchen, the cold and the one that never gets there.
Estimate

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

18%14%+2.5
Water, the analysis and the village.
Estimate

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

16%28%+4.5
Shut it, the mayor and not yielding.
Estimate

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

16%22%+3.5
The outbreak, the source and not delaying.
Estimate

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

18%18%+3.2
Shut the kitchen, and not looking away.
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

  • inspection reports
  • food safety
  • water samples
  • shut kitchens
  • temperatures
  • food outbreaks
  • mayors
  • not yield

Sources for this job· O*NET 19-5011.00· ESCO/ISCO 2263

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