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

Last-mile manager

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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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