IS WORK OVER?

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

Hotel 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
Occupancy, rates and the forecast.
Estimate

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

18%48%+8.6
Shifts, complaints and the one who leaves staff.
Estimate

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

16%40%+6.4
Owner, the budget and not cutting breakfast.
Estimate

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

16%22%+3.5
Incident, the VIP and the one who floods the room.
Estimate

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

16%28%+4.5
The inspection, insurance and not dressing the log.
Estimate

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

18%14%+2.5
That the house runs, and breakfast standing.
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

  • occupancy
  • hotel forecast
  • shifts
  • complaints
  • VIP
  • breakfast
  • inspection
  • rates

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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