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

Spanish language teacher

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 commentary and the rubric.
Estimate

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

16%40%+6.4
Writing, the paragraph and the one who will not start.
Estimate

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

18%14%+2.5
Speaking, the fear and getting them to talk.
Estimate

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

16%28%+4.5
Spelling, the mark-up and not humiliating.
Estimate

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

16%22%+3.5
Plagiarism, the web and not looking away.
Estimate

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

18%18%+3.2
That they write with sense, and not copying.
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

  • text commentary
  • writing
  • speaking
  • spelling
  • language rubrics
  • plagiarism
  • paragraphs
  • reading

Sources for this job· O*NET 25-2031.00· ESCO/ISCO 2330

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