Automation index
How much of a Revenue manager’s job can AI already do?
A pickup comes earlier. Raising the rate without emptying the hotel do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Revenue manager
27%
AI can already do 27% of this job.
#175 / 623
View rankingRevenue 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 |
|---|---|---|---|
Pickup, competitors and the rate.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Channels, overbooking and the one left on the street.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Events, the holiday and not sleeping on the price.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Report, management and the staff cut.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Sales, the group and not giving the room away.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
A high rate and a full house, not empty.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
- pickup
- rates
- channels
- overbooking
- holidays
- groups
- competitors
- rooms
Sources for this job· O*NET 11-9081.00· ESCO/ISCO 1411
IS WORK OVER?
Mobile developer
28%
#92 / 623
View rankingMobile developer
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 |
|---|---|---|---|
Screens, API and offline state.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Store review, crashlytics and ANRs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Real device, the notch and fragmented Android.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
CI, tests and the week's release.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Product, the redesign and not breaking what people use.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not crash, and not ignoring the one-star.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- build apps
- ship to stores
- crashlytics
- offline state
- ANRs
- mobile tests
- fragmented Android
- store review
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514