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

Pathologist

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
Grossing, embedding and the first trim.
Estimate

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

18%48%+8.6
Read stains, IHC and a template report.
Estimate

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

16%52%+8.3
The hard case, the second look and the frozen section.
Estimate

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

18%18%+3.2
Board, the surgeon on the phone and the margin.
Estimate

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

16%28%+4.5
Cytology, autopsy and the specimen that arrives late.
Estimate

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

16%22%+3.5
Signing the diagnosis and what the patient is playing for.
Estimate

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

16%14%+2.2
Total100%30%

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

Skills and activities

  • read biopsies
  • grossing
  • immunohistochemistry
  • frozen section
  • pathology report
  • cytology
  • surgical margins
  • autopsy

Sources for this job· O*NET 29-1222.00· ESCO/ISCO 2212

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