IS WORK OVER?

Automation index

How much of a Music teacher’s job can AI already do?

A score comes earlier. Sounding together without hating the instrument do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Music teacher

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
Score, tuning and the term plan.
Estimate

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

16%40%+6.4
Class, the one out of tune and the one who does not practise.
Estimate

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

18%14%+2.5
Rehearsal, the concert and the one who is ill.
Estimate

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

16%28%+4.5
Assess, auditions and not humiliating.
Estimate

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

16%22%+3.5
Families, the instrument and the one that will not fit at home.
Estimate

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

18%18%+3.2
Sound together, and not hating the instrument.
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

  • scores
  • tune
  • concert rehearsals
  • auditions
  • instrument lessons
  • out of tune
  • families
  • term plan

Sources for this job· O*NET 25-2031.00· ESCO/ISCO 2354

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

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