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

Histology technician

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
Intake, the pot and not mixing cases.
Estimate

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

16%32%+5.1
Process, embed and the block.
Estimate

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

22%8%+1.8
Cut, the knife and the one that falls apart.
Estimate

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

16%22%+3.5
Stain, the control and the one that will not take.
Estimate

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

16%28%+4.5
The pathologist, the rush and not sending a bad cut.
Estimate

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

16%18%+2.9
Not losing the diagnosis on the knife.
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

  • paraffin blocks
  • histology cutting
  • stains
  • tissue processor
  • not mix cases
  • microtome knife
  • stain controls
  • embedding

Sources for this job· O*NET 29-2012.00· ESCO/ISCO 3212

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