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

Acoustics 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
Reading, the map and the standard.
Estimate

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

18%48%+8.6
Works, the insulation and what was not put in.
Estimate

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

16%40%+6.4
Simulation, the model and not trusting it alone.
Estimate

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

16%22%+3.5
Report, the neighbour and not softening the dB.
Estimate

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

16%28%+4.5
The council, the licence and not dressing it.
Estimate

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

18%14%+2.5
Bring it down for real, and not selling the miracle panel.
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

  • noise maps
  • insulation
  • dB
  • acoustic simulations
  • standards
  • licences
  • neighbours
  • field readings

Sources for this job· O*NET 17-2199.00· ESCO/ISCO 2149

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