IS WORK OVER?

Automation index

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

A key tag comes earlier. Not marking the car and having it ready when they come out do not.

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

Task comparison

Valet

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, keys and the bay map.
Estimate

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

16%32%+5.1
Drive someone else’s, the tight car park and not marking it.
Estimate

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

22%8%+1.8
The client already out and the car still downstairs.
Estimate

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

16%22%+3.5
Insurance, the knock and who pays.
Estimate

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

16%28%+4.5
The event, the rain and not losing a key.
Estimate

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

16%18%+2.9
No mark, and the car on time.
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

  • keep keys
  • park others’ cars
  • bay map
  • not mark
  • valet events
  • knock insurance
  • tight car park
  • return on time

Sources for this job· O*NET 53-6021.00· ESCO/ISCO 8322

Geomatics 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
Station, the base and the cloud.
Estimate

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

16%40%+6.4
Field, the axis and the one that moved.
Estimate

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

18%14%+2.5
Model, the drift and not hiding metres.
Estimate

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

16%28%+4.5
Works, the setting-out and going down to see it.
Estimate

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

16%22%+3.5
The contractor, the rush and not signing the drift.
Estimate

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

18%18%+3.2
That the axis is there, and not signing metres.
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

  • point clouds
  • total stations
  • axes
  • setting-out
  • drift
  • bases
  • geomatics
  • the field

Sources for this job· O*NET 17-1022.00· ESCO/ISCO 2165

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