Automation index
How much of a Domestic worker’s job can AI already do?
A shopping list writes itself. Someone else’s house, a trust, and a back do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Domestic worker
15%
AI can already do 15% of this job.
#633 / 643
View rankingDomestic worker
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 |
|---|---|---|---|
Lists, online shopping and written errands.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 30% | +4.2 |
Menus and pantry organisation.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 22% | +2.6 |
Clean, cook, iron and tidy.EstimateNo public source provides a precise figure. This is our estimate. | 26% | 8% | +2.1 |
Care for elders or children of the house.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 10% | +1.6 |
Trust, keys and boundaries.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
Relationship with the employing family.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 15% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Lists, online shopping and written errands
- Menus and pantry organisation
- Clean, cook, iron and tidy
- Care for elders or children of the house
- Trust, keys and boundaries
- Relationship with the employing family
- empleada de hogar
- interno
- domestic worker
- trabajadora del hogar
Sources for this job· O*NET 39-9011.00· ESCO/ISCO 9111
IS WORK OVER?
Agile coach
24%
#262 / 643
View rankingAgile 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 |
|---|---|---|---|
Boards, metrics and the cadence design.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The real retro and the elephant in the room.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Train, unblock and the manager who will not let go.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Scale, dependencies and fake agile.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Conflict, power and not selling extra frameworks.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they stop faking it, and not inflating velocity.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- retros
- agile cadence
- unblock teams
- flow metrics
- fake agile
- agile training
- dependencies
- velocity
Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421