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

University tutor

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
Form, the file and the one who does not come.
Estimate

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

18%48%+8.6
Mark, the cut and the one who gives up.
Estimate

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

16%40%+6.4
Grant, the paper and not letting it lapse.
Estimate

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

16%22%+3.5
Health, the referral and not playing clinician.
Estimate

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

16%28%+4.5
The dean, the dropout figure and not dressing it.
Estimate

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

18%14%+2.5
That they ask for help, and not dropping out.
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

  • university tutoring
  • degree dropout
  • grants
  • files
  • health referral
  • the dean
  • grade cuts
  • tutoring forms

Sources for this job· O*NET 25-1199.00· ESCO/ISCO 2310

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