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

Blood bank technician

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
Group, screen and the bag crossmatch.
Estimate

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

18%52%+9.4
Fractionate, label and traceability.
Estimate

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

16%40%+6.4
The emergency, the massive and the ID error.
Estimate

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

18%14%+2.5
Donation, apheresis and the donor who feels unwell.
Estimate

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

16%28%+4.5
Stock, expiry and what theatre asks for.
Estimate

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

16%22%+3.5
The right bag and owning the blood group.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • crossmatch blood
  • blood group
  • fractionate products
  • donor apheresis
  • bag traceability
  • massive transfusion
  • label units
  • blood bank

Sources for this job· O*NET 29-2011.00· ESCO/ISCO 3212

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