IS WORK OVER?

Automation index

How much of a Ticket inspector’s job can AI already do?

A validator comes earlier. Walking the train and dealing with no ticket do not.

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

Task comparison

Ticket inspector

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
Validate, fares and the intervention note.
Estimate

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

16%40%+6.4
Aisle, the group and the one who hides.
Estimate

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

18%12%+2.2
Fines, data and what you can ask.
Estimate

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

16%28%+4.5
Incident, the full train and calling the conductor.
Estimate

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

16%22%+3.5
The insult, keeping calm and not making a scene.
Estimate

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

18%18%+3.2
Charge fairly, and not skipping a coach.
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

  • validate tickets
  • rail fares
  • interventions
  • on-train fines
  • walk coaches
  • call the conductor
  • passenger data
  • full trains

Sources for this job· O*NET 53-4031.00· ESCO/ISCO 5112

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

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