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

BIM modeller

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
Model, families and clash detection.
Estimate

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

18%52%+9.4
IFC, BEP and trade coordination.
Estimate

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

16%40%+6.4
Site, the one who will not open the model, and the meeting.
Estimate

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

16%22%+3.5
Quantities, parameters and the 4D nobody uses.
Estimate

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

16%28%+4.5
The last-minute change and not breaking the federated model.
Estimate

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

18%14%+2.5
That it can be built, and not over-modelling.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • BIM modelling
  • clash detection
  • Revit families
  • IFC
  • BEP
  • coordinate trades
  • BIM quantities
  • federated model

Sources for this job· O*NET 17-3011.00· ESCO/ISCO 3118

Analyse my job

Jobs with similar scores

  1. 428Physiotherapist21%
  2. 429Livestock farmer21%
  3. 430Gynaecologist21%
  4. 432Illustrator21%
  5. 433Waterproofer21%
  6. 434Solar installer21%