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
IS WORK OVER?
Music teacher
22%
AI can already do 22% of this job.
#370 / 633
View rankingMusic 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.
| Task | Share | AI | Points |
|---|---|---|---|
Score, tuning and the term plan.EstimateNo 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.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Rehearsal, the concert and the one who is ill.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Assess, auditions and not humiliating.EstimateNo 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.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Sound together, and not hating the instrument.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 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
IS WORK OVER?
Varnisher
18%
#553 / 633
View rankingVarnisher
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 |
|---|---|---|---|
Colour cards, ranges and orders.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Sand, stain, apply and dry.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Booth, filters and dust.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
Cabinetmaker, deadlines and touch-up.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Repairs in the home and on site.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Not delivering a piece with orange peel.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 18% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Colour cards, ranges and orders
- Sand, stain, apply and dry
- Booth, filters and dust
- Cabinetmaker, deadlines and touch-up
- Repairs in the home and on site
- Not delivering a piece with orange peel
- barnizador
- lacador
- varnisher
Sources for this job· O*NET 51-9123.00· ESCO/ISCO 7522