IS WORK OVER?

Automation index

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

A barrier comes earlier. Running the car park without wrecking the person who lost the ticket do not.

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

Task comparison

Parking attendant

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
Barriers, tickets and the count.
Estimate

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

16%40%+6.4
The one who cannot find the car and the one who will not pay.
Estimate

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

18%14%+2.5
Incidents, the down barrier and the jam.
Estimate

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

16%28%+4.5
Shift, cash and cashing up.
Estimate

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

16%32%+5.1
The event, the full house and not blocking the street.
Estimate

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

18%18%+3.2
Run the car park, and not wrecking the lost-ticket person.
Estimate

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

16%12%+1.9
Total100%24%

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

Skills and activities

  • barriers
  • parking tickets
  • space count
  • cashing up
  • stuck barrier
  • events
  • lost cars
  • exit jam

Sources for this job· O*NET 33-9091.00· ESCO/ISCO 5414

Ice-cream maker

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
Base, overrun and the recipe.
Estimate

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

16%44%+7
Churn, age and the one that crystals.
Estimate

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

18%12%+2.2
List, season and the flavour that misses.
Estimate

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

16%28%+4.5
Workshop, cold and the broken chain.
Estimate

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

16%22%+3.5
Summer, the queue and not running out of vanilla.
Estimate

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

18%18%+3.2
Creamy in the mouth, and not selling ice.
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

  • churn
  • overrun
  • age bases
  • ice-cream list
  • cold chain
  • ice crystals
  • vanilla
  • ice-cream season

Sources for this job· O*NET 51-3099.00· ESCO/ISCO 7512

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