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?
Data analyst
40%
#5 / 623
View rankingData analyst
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 |
|---|---|---|---|
Generate standard or custom reports summarizing business, financial, or economic data for review by executives, managers, clients, and other stakeholders.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 55% | +7.7 |
Manage timely flow of business intelligence information to users.EstimateNo public source provides a precise figure. This is our estimate. | 13% | 28% | +3.6 |
Maintain or update business intelligence tools, databases, dashboards, systems, or methods.EstimateNo public source provides a precise figure. This is our estimate. | 11% | 48% | +5.3 |
Provide technical support for existing reports, dashboards, or other tools.EstimateNo public source provides a precise figure. This is our estimate. | 9% | 55% | +5 |
Synthesize current business intelligence or trend data to support recommendations for action.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 28% | +1.7 |
Create business intelligence tools or systems, including design of related databases, spreadsheets, or outputs.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 55% | +3.3 |
Collect business intelligence data from available industry reports, public information, field reports, or purchased sources.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 55% | +3.3 |
Identify or monitor current and potential customers, using business intelligence tools.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 28% | +1.7 |
Other less frequent tasks (weight estimated from frequency).EstimateNo public source provides a precise figure. This is our estimate. | 29% | 28% | +8.1 |
| Total | 100% | 40% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- analyse data
- models
- dashboards
- python
- information structure
- data warehouse
- database
- web programming
- ICT security legislation
- business process modelling
Sources for this job· O*NET 15-2051.01· ESCO/ISCO 2521