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

Warehouse supervisor

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
Docks, waves and the shift plan.
Estimate

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

16%40%+6.4
The team, the peak and the one who cannot keep up.
Estimate

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

18%14%+2.5
Stock, shrink and the mystery gap.
Estimate

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

16%32%+5.1
Safety, forklifts and the near miss.
Estimate

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

16%28%+4.5
The late haulier and not mixing the docks.
Estimate

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

18%18%+3.2
Get the shift out, and not mixing the goods.
Estimate

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

16%14%+2.2
Total100%24%

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

Skills and activities

  • plan docks
  • waves
  • warehouse shift
  • shrink
  • forklifts
  • near misses
  • outbound peaks
  • mixed goods

Sources for this job· O*NET 53-1048.00· ESCO/ISCO 1324

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