IS WORK OVER?

Automation index

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

A luggage tag comes earlier. Getting them up whole without losing the one at the back do not.

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

Task comparison

Bellhop

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
Tag, bags and the floor map.
Estimate

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

16%32%+5.1
Up, the lift and the one that will not fit.
Estimate

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

22%8%+1.8
Room, the VIP and not going in unannounced.
Estimate

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

16%22%+3.5
Tip, the shift and the one who hides.
Estimate

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

16%28%+4.5
The group, the coach and not leaving one in the lobby.
Estimate

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

16%18%+2.9
Whole, and not losing the one at the back.
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

  • bags
  • floors
  • the lift
  • VIP
  • tips
  • lobby
  • groups
  • luggage tags

Sources for this job· O*NET 43-4081.00· ESCO/ISCO 9621

Data architect

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
Models, lineage and the catalogue.
Estimate

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

18%52%+9.4
Pipelines, quality and the data contract.
Estimate

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

16%40%+6.4
The analyst who finds nothing and the mess.
Estimate

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

16%22%+3.5
Privacy, retention and the field you cannot keep.
Estimate

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

16%28%+4.5
The business, shadow IT and not building another lake.
Estimate

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

18%14%+2.5
That it gets used, and not letting raw data rot.
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

  • model data
  • lineage
  • data catalogue
  • data contracts
  • pipeline quality
  • retention
  • data lakes
  • privacy

Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511

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