IS WORK OVER?

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

Revenue 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.

TaskShareAIPoints
Pickup, competitors and the rate.
Estimate

No public source provides a precise figure. This is our estimate.

18%48%+8.6
Channels, overbooking and the one left on the street.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Events, the holiday and not sleeping on the price.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Report, management and the staff cut.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Sales, the group and not giving the room away.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
A high rate and a full house, not empty.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%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

Mobile 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.

TaskShareAIPoints
Screens, API and offline state.
Estimate

No public source provides a precise figure. This is our estimate.

18%52%+9.4
Store review, crashlytics and ANRs.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Real device, the notch and fragmented Android.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
CI, tests and the week's release.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Product, the redesign and not breaking what people use.
Estimate

No 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.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%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

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