Automation index
How much of a Montessori teacher’s job can AI already do?
A prepared environment comes earlier. Not interrupting the child who is actually working do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Montessori teacher
22%
AI can already do 22% of this job.
#419 / 753
View rankingMontessori 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 |
|---|---|---|---|
Environment, the material and the order.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Presentation, the tray and not doing it for them.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Observe, the note and not interrupting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Conflict, the boundary and not lecturing.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The family, the wait and not selling magic.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Not interrupting the one who is working.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
- prepared environment
- Montessori material
- presentations
- observation
- trays
- not interrupt
- not lecture
- classroom order
Sources for this job· O*NET 25-2011.00· ESCO/ISCO 2342
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