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?
Strength and conditioning coach
22%
#365 / 633
View rankingStrength and conditioning coach
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 |
|---|---|---|---|
Load, GPS and the microcycle.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Gym, the pattern and the one who cheats.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Rehab, the injured and not rushing the return.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Report, the manager and the fight over minutes.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The peak, pre-season and not grinding them.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Ready, and not broken.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
- load
- training GPS
- microcycles
- rehab
- movement pattern
- pre-season
- reports to the manager
- the gym
Sources for this job· O*NET 29-9091.00· ESCO/ISCO 3423