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

University careers adviser

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
Workshop, the CV and the letter.
Estimate

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

18%48%+8.6
Appointment, the one who does not know and the one who wants everything.
Estimate

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

16%40%+6.4
Placement, the firm and not selling smoke.
Estimate

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

16%22%+3.5
Fair, the contact and the one who will not approach.
Estimate

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

16%28%+4.5
The dean, insertion and not dressing the rate.
Estimate

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

18%14%+2.5
A plan, and not panic.
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

  • university CVs
  • cover letters
  • placements
  • jobs fairs
  • graduate insertion
  • careers appointments
  • not sell smoke
  • workshops

Sources for this job· O*NET 21-1012.00· ESCO/ISCO 2423

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