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

Strength and conditioning coach

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
Load, GPS and the microcycle.
Estimate

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

16%40%+6.4
Gym, the pattern and the one who cheats.
Estimate

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

18%14%+2.5
Rehab, the injured and not rushing the return.
Estimate

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

16%28%+4.5
Report, the manager and the fight over minutes.
Estimate

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

16%22%+3.5
The peak, pre-season and not grinding them.
Estimate

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

18%18%+3.2
Ready, and not broken.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • load
  • training GPS
  • microcycles
  • rehab
  • movement pattern
  • pre-season
  • reports to the manager
  • the gym

Sources for this job· O*NET 29-9091.00· ESCO/ISCO 3423

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