Automation index
How much of a Nanny’s job can AI already do?
A plan and an errand come earlier. A crying child, a fever, and the parents do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Nanny
13%
AI can already do 13% of this job.
#641 / 643
View rankingNanny
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 |
|---|---|---|---|
Planning, errands and notes to the family.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 28% | +3.9 |
Activities, homework and planned play.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 22% | +2.6 |
Care, feed and settle the child.EstimateNo public source provides a precise figure. This is our estimate. | 26% | 6% | +1.6 |
Safety, fever and first aid.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 8% | +1.3 |
Boundaries with parents and the house.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 10% | +1.6 |
Bond, patience and consistency.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 13% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Planning, errands and notes to the family
- Activities, homework and planned play
- Care, feed and settle the child
- Safety, fever and first aid
- Boundaries with parents and the house
- Bond, patience and consistency
- ninera
- nanny
- canguro
- au pair
Sources for this job· O*NET 39-9011.00· ESCO/ISCO 5311
IS WORK OVER?
Data architect
28%
#83 / 643
View rankingData architect
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 |
|---|---|---|---|
Models, lineage and the catalogue.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Pipelines, quality and the data contract.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The analyst who finds nothing and the mess.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Privacy, retention and the field you cannot keep.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The business, shadow IT and not building another lake.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it gets used, and not letting raw data rot.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- model data
- lineage
- data catalogue
- data contracts
- pipeline quality
- retention
- data lakes
- privacy
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511