Automation index
How much of a Hotel manager’s job can AI already do?
An occupancy forecast comes earlier. The house running without breakfast collapsing do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Hotel manager
27%
AI can already do 27% of this job.
#147 / 623
View rankingHotel 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 |
|---|---|---|---|
Occupancy, rates and the forecast.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Shifts, complaints and the one who leaves staff.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Owner, the budget and not cutting breakfast.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Incident, the VIP and the one who floods the room.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The inspection, insurance and not dressing the log.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That the house runs, and breakfast standing.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- occupancy
- hotel forecast
- shifts
- complaints
- VIP
- breakfast
- inspection
- rates
Sources for this job· O*NET 11-9081.00· ESCO/ISCO 1411
IS WORK OVER?
Cleaner
16%
#599 / 623
View rankingCleaner
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 |
|---|---|---|---|
Logs, checklists and product orders.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 32% | +4.5 |
Scrubber-driers and dosing.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 22% | +2.6 |
Mop, vacuum, disinfect and restock.EstimateNo public source provides a precise figure. This is our estimate. | 26% | 10% | +2.6 |
Waste, linen and sensitive areas.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
Shifts, keys and dealing with users.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
Surprises: vomit, works, a complaint.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
| Total | 100% | 16% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Logs, checklists and product orders
- Scrubber-driers and dosing
- Mop, vacuum, disinfect and restock
- Waste, linen and sensitive areas
- Shifts, keys and dealing with users
- Surprises: vomit, works, a complaint
- limpiador
- limpiadora
- personal de limpieza
- cleaner
Sources for this job· O*NET 37-2011.00· ESCO/ISCO 9112