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

Reliability engineer

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
Data, MTBF and the Pareto.
Estimate

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

18%48%+8.6
Failure, the cause and not patching twice.
Estimate

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

16%40%+6.4
Spare, the critical and not hiding it.
Estimate

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

16%22%+3.5
RCM, the plan and the one that is not done.
Estimate

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

16%28%+4.5
Production, the rush and not running the tired one.
Estimate

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

18%14%+2.5
That it does not drop at three, and not hiding the spare.
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

  • MTBF
  • Pareto
  • root causes
  • critical spares
  • RCM
  • failures
  • maintenance plans
  • not patch twice

Sources for this job· O*NET 17-2112.00· ESCO/ISCO 2141

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