IS WORK OVER?

Automation index

How much of a Station master’s job can AI already do?

A train graph comes earlier. Leaving on time without meeting on the same line do not.

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

Task comparison

Station master

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
Graph, orders and the station log.
Estimate

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

16%40%+6.4
Platforms, the crossing and the late train.
Estimate

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

18%14%+2.5
Staff, shifts and the ticket-office gap.
Estimate

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

16%32%+5.1
Incident, passengers and the PA.
Estimate

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

16%22%+3.5
Works, closures and leaving nobody on the platform.
Estimate

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

18%18%+3.2
That they do not meet, and signing the graph.
Estimate

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

16%12%+1.9
Total100%23%

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

Skills and activities

  • train graph
  • orders
  • platforms
  • ticket office
  • PA
  • line crossings
  • station shifts
  • station logs

Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323

Fleet dispatcher

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
Routes, GPS and the day’s plan.
Estimate

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

18%52%+9.4
The stopped truck, the client and reassigning.
Estimate

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

16%22%+3.5
Times, tachograph and not burning the hours.
Estimate

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

16%36%+5.8
Incidents, warehouse and the delivery that is not there.
Estimate

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

16%28%+4.5
The driver, the shortcut and not lying to the client.
Estimate

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

18%14%+2.5
Cover the job, and not leaving the route half done.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • dispatch the fleet
  • truck GPS
  • tachograph
  • reassign routes
  • driving hours
  • delivery incidents
  • day plan
  • stopped truck

Sources for this job· O*NET 43-5032.00· ESCO/ISCO 4323

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