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

Social security officer

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
File, contributions and the right.
Estimate

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

18%48%+8.6
Incapacity, the opinion and the one who cannot.
Estimate

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

16%40%+6.4
Benefit, the deadline and not leaving them unpaid.
Estimate

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

16%22%+3.5
Fraud, the visit and not hunting the poor.
Estimate

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

16%28%+4.5
The doctor, the discharge and not fighting for sport.
Estimate

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

18%14%+2.5
That the right one is paid, and not the one who should not.
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

  • pensions
  • contributions
  • incapacity
  • benefits
  • opinions
  • fraud
  • social-security deadlines
  • medical discharges

Sources for this job· O*NET 13-1141.00· ESCO/ISCO 3353

Analyse my job

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