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

Aquaculturist

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
Oxygen, ration and the mortality log.
Estimate

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

16%40%+6.4
Cage, net and the escape.
Estimate

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

18%12%+2.2
Water quality, exchange and the bloom.
Estimate

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

16%28%+4.5
Vaccines, the vet and the batch that turns.
Estimate

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

16%22%+3.5
The storm, the swell and not losing the cage.
Estimate

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

18%18%+3.2
Not dying in the night, and not pushing density.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • cage oxygen
  • fish ration
  • nets
  • water quality
  • aquaculture mortality
  • batch vaccines
  • swell
  • stocking density

Sources for this job· O*NET 45-1011.00· ESCO/ISCO 6221

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