IS WORK OVER?

Automation index

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

A diagram and a log come earlier. Stopping a train full of people does not.

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

Task comparison

Train 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
Diagrams, notices and train logs.
Estimate

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

16%32%+5.1
Drive, brake and obey signals.
Estimate

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

24%8%+1.9
Incidents, passengers and radio.
Estimate

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

16%18%+2.9
Fitness, fatigue and rules.
Estimate

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

16%22%+3.5
Shunting, depots and couplings.
Estimate

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

14%16%+2.2
Not running a red or a platform.
Estimate

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

14%14%+2
Total100%18%

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

Skills and activities

  • Diagrams, notices and train logs
  • Drive, brake and obey signals
  • Incidents, passengers and radio
  • Fitness, fatigue and rules
  • Shunting, depots and couplings
  • Not running a red or a platform
  • maquinista
  • train driver
  • conductor de tren

Sources for this job· O*NET 53-4011.00· ESCO/ISCO 8311

Fire investigator

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
Scene, the origin and not treading it.
Estimate

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

16%40%+6.4
Cause, the short and the rag.
Estimate

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

18%14%+2.5
Sample, the lab and the one that does not fit.
Estimate

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

16%28%+4.5
Report, the insurer and not selling it.
Estimate

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

16%22%+3.5
The judge, the hearing and not jumping to a yes.
Estimate

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

18%18%+3.2
Call the cause, and not selling it to the insurer.
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

  • fire origin
  • shorts
  • rags
  • samples
  • expert reports
  • insurers
  • the scene
  • not tread

Sources for this job· O*NET 33-2021.00· ESCO/ISCO 3119

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