IS WORK OVER?

Automation index

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

Urban ATO comes earlier. Crossing pedestrians without clipping the badly parked car do not.

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

Task comparison

Tram driver

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
Checks, log and the cab.
Estimate

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

16%32%+5.1
Drive, stops and the pedestrian who steps out.
Estimate

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

24%8%+1.9
Badly parked car, calls and Control.
Estimate

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

16%22%+3.5
Timetable, reliefs and rush hour.
Estimate

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

16%28%+4.5
The tourist, the bike and not over-hooting.
Estimate

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

14%18%+2.5
Hit nobody, and make the terminus.
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

  • drive trams
  • urban stops
  • pedestrians
  • badly parked cars
  • Control
  • rush hour
  • cab checks
  • terminus

Sources for this job· O*NET 53-4041.00· ESCO/ISCO 8311

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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