IS WORK OVER?

Automation index

How much of a Executive housekeeper’s job can AI already do?

A roster and a checklist come earlier. A hundred rooms out on time does not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Executive housekeeper

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
Roster, checklists and linen logs.
Estimate

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

18%40%+7.2
Rounds, standards and VIP rooms.
Estimate

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

18%14%+2.5
Room team, shifts and conflict.
Estimate

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

16%22%+3.5
Front desk, maintenance and complaints.
Estimate

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

16%18%+2.9
Inventory, minibar and lost-and-found.
Estimate

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

16%16%+2.6
Not handing a dirty room to a guest.
Estimate

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

16%14%+2.2
Total100%21%

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

Skills and activities

  • Roster, checklists and linen logs
  • Rounds, standards and VIP rooms
  • Room team, shifts and conflict
  • Front desk, maintenance and complaints
  • Inventory, minibar and lost-and-found
  • Not handing a dirty room to a guest
  • gobernanta
  • ama de llaves
  • executive housekeeper

Sources for this job· O*NET 37-1011.00· ESCO/ISCO 5151

Ski instructor

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
Level, kit and the group.
Estimate

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

16%32%+5.1
Run, the turn and the one who cuts across.
Estimate

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

22%8%+1.8
Fall, the one who cries and getting them up.
Estimate

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

16%22%+3.5
Snow, the storm and closing in time.
Estimate

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

16%28%+4.5
The queue, the pass and not losing a child.
Estimate

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

16%18%+2.9
Down whole, and taking nobody with them.
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

  • turns
  • runs
  • falls
  • snow groups
  • the pass
  • the storm
  • get them up
  • ski levels

Sources for this job· O*NET 39-9032.00· ESCO/ISCO 3422

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