IS WORK OVER?

Automation index

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

A camera and a stock ticket come earlier. Running a junction and taking the abuse do not.

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

Task comparison

Traffic warden

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
Tickets, photos and the plate record.
Estimate

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

16%40%+6.4
Junction, closure and the rush-hour jam.
Estimate

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

22%10%+2.2
Tow, parking and the one who stands in the way.
Estimate

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

16%22%+3.5
Events, races and the day’s operation.
Estimate

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

16%28%+4.5
Deal, explain and the insult in the street.
Estimate

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

16%18%+2.9
A fair ticket, and not making a scene.
Estimate

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

14%12%+1.7
Total100%21%

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

Skills and activities

  • issue tickets
  • run junctions
  • tow vehicles
  • control events
  • read plates
  • close roads
  • parking
  • deal with drivers

Sources for this job· O*NET 33-3041.00· ESCO/ISCO 3355

Camera operator

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
Schedule, lists and overlays.
Estimate

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

16%32%+5.1
Frame, follow and not lose focus.
Estimate

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

22%10%+2.2
Kit, cards and backups.
Estimate

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

16%18%+2.9
Director, light and sound.
Estimate

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

16%22%+3.5
Knees, shoulder and long days.
Estimate

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

16%16%+2.6
Not wiping a full card.
Estimate

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

14%14%+2
Total100%18%

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

Skills and activities

  • Schedule, lists and overlays
  • Frame, follow and not lose focus
  • Kit, cards and backups
  • Director, light and sound
  • Knees, shoulder and long days
  • Not wiping a full card
  • camara
  • operador de camara
  • camera operator

Sources for this job· O*NET 27-4031.00· ESCO/ISCO 3521

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