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

Clinical research associate

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
Protocol, CRF and the monitoring visit.
Estimate

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

18%48%+8.6
Source, the gap and the one that does not fit.
Estimate

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

16%40%+6.4
Adverse event, the deadline and not delaying.
Estimate

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

16%22%+3.5
Consent, the signature and the one who did not understand.
Estimate

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

16%28%+4.5
The sponsor, the audit and not dressing the figure.
Estimate

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

18%14%+2.5
Audit, and not leaving a made-up figure.
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

  • CRF
  • monitoring
  • adverse events
  • informed consent
  • source data
  • trial audits
  • clinical protocols
  • site visits

Sources for this job· O*NET 11-9121.00· ESCO/ISCO 2131

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