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

Tram driver

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
Checks, log and the cab.
Estimate

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

16%32%+5.1
Drive, stops and the pedestrian who steps out.
Estimate

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

24%8%+1.9
Badly parked car, calls and Control.
Estimate

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

16%22%+3.5
Timetable, reliefs and rush hour.
Estimate

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

16%28%+4.5
The tourist, the bike and not over-hooting.
Estimate

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

14%18%+2.5
Hit nobody, and make the terminus.
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

  • drive trams
  • urban stops
  • pedestrians
  • badly parked cars
  • Control
  • rush hour
  • cab checks
  • terminus

Sources for this job· O*NET 53-4041.00· ESCO/ISCO 8311

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