IS WORK OVER?

Automation index

How much of a Piano tuner’s job can AI already do?

An octave protocol comes earlier. Leaving the piano in tune for the concert do not.

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

Task comparison

Piano tuner

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
Diagnose, pinblock and the protocol.
Estimate

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

16%32%+5.1
Tune, octaves and the unison.
Estimate

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

22%8%+1.8
Regulate, dampers and the one that will not cut.
Estimate

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

16%22%+3.5
Voicing, hammers and the one that is hard.
Estimate

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

16%28%+4.5
The concert, the hall and not leaving it flat.
Estimate

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

16%18%+2.9
In tune, and lasting the concert.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • tune pianos
  • octaves
  • unisons
  • dampers
  • pinblock
  • voicing
  • hammers
  • regulate action

Sources for this job· O*NET 49-9063.00· ESCO/ISCO 7312

Olive-oil miller

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
Intake, yield and the mill log.
Estimate

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

16%40%+6.4
Crush, malaxate and the decanter.
Estimate

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

18%12%+2.2
Temperature, time and the fruitiness.
Estimate

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

16%28%+4.5
Cellar, the batch and the one that goes rancid.
Estimate

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

16%22%+3.5
The campaign, the tractor queue and not heating.
Estimate

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

18%18%+3.2
Cold for real, and not painting the yield.
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

  • crush olives
  • malaxation
  • decanter
  • fruitiness
  • the campaign
  • mill yield
  • oil cellar
  • extraction temperature

Sources for this job· O*NET 51-3092.00· ESCO/ISCO 7514

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