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

Telecom 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
Size, simulate and plan radio and fibre.
Estimate

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

18%48%+8.6
Projects, permits and sites.
Estimate

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

16%32%+5.1
Field, measurements and commissioning.
Estimate

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

16%22%+3.5
Incidents, NOC and operators.
Estimate

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

16%18%+2.9
Rules, spectrum and documentation.
Estimate

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

18%16%+2.9
Not leaving a town dark from a mistake.
Estimate

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

16%14%+2.2
Total100%25%

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

Skills and activities

  • Size, simulate and plan radio and fibre
  • Projects, permits and sites
  • Field, measurements and commissioning
  • Incidents, NOC and operators
  • Rules, spectrum and documentation
  • Not leaving a town dark from a mistake
  • ingeniero de telecomunicaciones
  • telecom engineer

Sources for this job· O*NET 17-2072.00· ESCO/ISCO 2153

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