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 / 633
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?
Forest ranger
18%
#551 / 633
View rankingForest ranger
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, GIS and penalty files.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Patrol, poaching and fires.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Neighbours, shepherds and councils.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Sampling, paths and signage.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Duties, weather and terrain.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
Not arriving late to a column of smoke.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 18% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Logs, GIS and penalty files
- Patrol, poaching and fires
- Neighbours, shepherds and councils
- Sampling, paths and signage
- Duties, weather and terrain
- Not arriving late to a column of smoke
- agente forestal
- agente medioambiental
- forest ranger
Sources for this job· O*NET 33-3031.00· ESCO/ISCO 5419