Automation index
How much of a Early childhood educator’s job can AI already do?
An activity sheet writes itself. Holding twenty three-year-olds, a nappy, and a parent does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Early childhood educator
15%
AI can already do 15% of this job.
#632 / 643
View rankingEarly childhood educator
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 |
|---|---|---|---|
Plan activities, reports and rubrics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Write to families.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 22% | +3.1 |
Care, play and hold the room.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 6% | +1.4 |
Hygiene, meals and naps.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 10% | +1.6 |
Watch development and talk to the family.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
Coordinate staff and safeguarding.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 15% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Plan activities, reports and rubrics
- Write to families
- Care, play and hold the room
- Hygiene, meals and naps
- Watch development and talk to the family
- Coordinate staff and safeguarding
- educador infantil
- maestro de infantil
- preschool
- jardin de infancia
Sources for this job· O*NET 25-2011.00· ESCO/ISCO 2342
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