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

Tram driver

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
Checks, log and the cab.
Estimate

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

16%32%+5.1
Drive, stops and the pedestrian who steps out.
Estimate

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

24%8%+1.9
Badly parked car, calls and Control.
Estimate

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

16%22%+3.5
Timetable, reliefs and rush hour.
Estimate

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

16%28%+4.5
The tourist, the bike and not over-hooting.
Estimate

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

14%18%+2.5
Hit nobody, and make the terminus.
Estimate

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

14%12%+1.7
Total100%19%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • drive trams
  • urban stops
  • pedestrians
  • badly parked cars
  • Control
  • rush hour
  • cab checks
  • terminus

Sources for this job· O*NET 53-4041.00· ESCO/ISCO 8311

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