Automation index
How much of a Music therapist’s job can AI already do?
A playlist comes earlier. Something sounding and moving what will not come in words do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Music therapist
22%
AI can already do 22% of this job.
#427 / 753
View rankingMusic therapist
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 |
|---|---|---|---|
Session, aims and the instrument.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Patient, the silence and not forcing the song.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Group, the one who shuts and the one who overflows.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Report, the marker and not selling miracles.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The ward, the noise and not bothering the rest.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Let it sound, and move what will not come out.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
- music-therapy sessions
- instruments
- therapy groups
- silence
- markers
- the ward
- not force the song
- not sell miracles
Sources for this job· O*NET 29-1129.00· ESCO/ISCO 2269
IS WORK OVER?
Geomatics engineer
22%
#402 / 753
View rankingGeomatics engineer
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 |
|---|---|---|---|
Station, the base and the cloud.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Field, the axis and the one that moved.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Model, the drift and not hiding metres.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Works, the setting-out and going down to see it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The contractor, the rush and not signing the drift.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That the axis is there, and not signing metres.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
- point clouds
- total stations
- axes
- setting-out
- drift
- bases
- geomatics
- the field
Sources for this job· O*NET 17-1022.00· ESCO/ISCO 2165