Automation index
How much of a Executive housekeeper’s job can AI already do?
A roster and a checklist come earlier. A hundred rooms out on time does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Executive housekeeper
21%
AI can already do 21% of this job.
#517 / 753
View rankingExecutive housekeeper
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 |
|---|---|---|---|
Roster, checklists and linen logs.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 40% | +7.2 |
Rounds, standards and VIP rooms.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Room team, shifts and conflict.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Front desk, maintenance and complaints.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Inventory, minibar and lost-and-found.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not handing a dirty room to a guest.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 21% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Roster, checklists and linen logs
- Rounds, standards and VIP rooms
- Room team, shifts and conflict
- Front desk, maintenance and complaints
- Inventory, minibar and lost-and-found
- Not handing a dirty room to a guest
- gobernanta
- ama de llaves
- executive housekeeper
Sources for this job· O*NET 37-1011.00· ESCO/ISCO 5151
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