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

Epidemiologist

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
Surveillance, rates and the outbreak on the map.
Estimate

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

18%52%+9.4
Studies, bias and the report for public health.
Estimate

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

16%48%+7.7
Surveys, contacts and the case interview.
Estimate

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

16%28%+4.5
Committee, the unpopular measure and the press.
Estimate

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

18%18%+3.2
Field, the care-home outbreak and dirty data.
Estimate

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

16%22%+3.5
Judgement, uncertainty and signing the alert.
Estimate

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

16%14%+2.2
Total100%31%

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

Skills and activities

  • watch outbreaks
  • compute rates
  • epi studies
  • case interviews
  • map epidemics
  • public-health measures
  • contact tracing
  • health alerts

Sources for this job· O*NET 19-1041.00· ESCO/ISCO 2263

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