IS WORK OVER?

Automation index

How much of a Metro driver’s job can AI already do?

ATO and a log come earlier. Driving a full train and reacting in the tunnel do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Metro 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, tests and the cab log.
Estimate

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

16%32%+5.1
Drive, stop at platforms and regulate running.
Estimate

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

24%8%+1.9
Incidents, evacuation and talk to Control.
Estimate

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

16%22%+3.5
Timetables, reliefs and the day’s orders.
Estimate

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

16%28%+4.5
Passengers, platforms and announcements.
Estimate

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

14%18%+2.5
Rules, fatigue and liability for the train.
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 metro trains
  • stop at platforms
  • regulate running
  • evacuate tunnels
  • talk to control
  • cab checks
  • handle incidents
  • drive under ATO

Sources for this job· O*NET 53-4041.00· ESCO/ISCO 8311

Thesis supervisor

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
Plan, chapters and the calendar.
Estimate

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

18%48%+8.6
Draft, the comment and the one who will not rewrite.
Estimate

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

16%40%+6.4
Data, ethics and not signing what was not done.
Estimate

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

16%22%+3.5
Deposit, the board and not jumping to a yes.
Estimate

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

16%28%+4.5
The department, the rush and not swallowing plagiarism.
Estimate

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

18%14%+2.5
That the thesis exists, and not signing plagiarism.
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

  • thesis chapters
  • drafts
  • data ethics
  • deposit
  • the board
  • plagiarism
  • doctoral calendar
  • rewrite

Sources for this job· O*NET 25-1081.00· ESCO/ISCO 2310

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