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

Tactical analyst

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
Video, tags and the report.
Estimate

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

18%48%+8.6
Opponent, patterns and the one who hides.
Estimate

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

16%40%+6.4
Preview, the dressing room and not drowning them.
Estimate

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

16%22%+3.5
Live, the tablet and the change.
Estimate

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

16%28%+4.5
The manager, the ego and not contradicting in public.
Estimate

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

18%14%+2.5
That it is used, and not being noise.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • tag video
  • opponent patterns
  • preview
  • bench tablet
  • tactical reports
  • dressing room
  • changes
  • data noise

Sources for this job· O*NET 27-2022.00· ESCO/ISCO 3422

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