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
IS WORK OVER?
Piano tuner
19%
AI can already do 19% of this job.
#483 / 643
View rankingPiano 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.
| Task | Share | AI | Points |
|---|---|---|---|
Diagnose, pinblock and the protocol.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Tune, octaves and the unison.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Regulate, dampers and the one that will not cut.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Voicing, hammers and the one that is hard.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The concert, the hall and not leaving it flat.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
In tune, and lasting the concert.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 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
IS WORK OVER?
Last-mile manager
26%
#216 / 643
View rankingLast-mile manager
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.
| Task | Share | AI | Points |
|---|---|---|---|
Zones, capacity and route cuts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
KPIs, first attempt and incidents.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The courier, the lobby and the one who will not open.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Peaks, rain and hiring too many or too few.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The angry customer and not dressing delivered.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cover the peak, and not leaving the neighbourhood orphaned.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- delivery zones
- first attempt
- delivery KPIs
- last-mile peaks
- lobbies
- delivery incidents
- courier capacity
- cut routes
Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324