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

Ice-cream maker

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
Base, overrun and the recipe.
Estimate

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

16%44%+7
Churn, age and the one that crystals.
Estimate

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

18%12%+2.2
List, season and the flavour that misses.
Estimate

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

16%28%+4.5
Workshop, cold and the broken chain.
Estimate

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

16%22%+3.5
Summer, the queue and not running out of vanilla.
Estimate

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

18%18%+3.2
Creamy in the mouth, and not selling ice.
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

  • churn
  • overrun
  • age bases
  • ice-cream list
  • cold chain
  • ice crystals
  • vanilla
  • ice-cream season

Sources for this job· O*NET 51-3099.00· ESCO/ISCO 7512

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