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

Neurologist

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
Read MRIs, EEGs and a first differential.
Estimate

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

18%48%+8.6
Examination, cranial nerves and gait.
Estimate

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

18%14%+2.5
Long clinic, family and bad news.
Estimate

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

16%18%+2.9
Reports, prescriptions and consults.
Estimate

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

16%28%+4.5
On-call, stroke and ward rounds.
Estimate

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

16%22%+3.5
Meeting, team and owning the diagnosis.
Estimate

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

16%12%+1.9
Total100%24%

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

Skills and activities

  • Read MRIs, EEGs and a first differential
  • Examination, cranial nerves and gait
  • Long clinic, family and bad news
  • Reports, prescriptions and consults
  • On-call, stroke and ward rounds
  • Meeting, team and owning the diagnosis
  • neurologo
  • neurologist

Sources for this job· O*NET 29-1217.00· ESCO/ISCO 2212

Analyse my job

Jobs with similar scores

  1. 162Materials engineer27%
  2. 163Renewables engineer27%
  3. 164Hydraulic engineer27%
  4. 166Key account manager27%
  5. 167Linguist27%
  6. 168Nuclear medicine physician27%