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

Window installer

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
Measure openings, subframe and the order.
Estimate

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

16%32%+5.1
Set, plumb and the missing packer.
Estimate

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

22%8%+1.8
Foam, seal and the sweating lintel.
Estimate

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

16%22%+3.5
Fittings, adjust and the sash that rubs.
Estimate

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

16%28%+4.5
The lived-in house and not leaving the room freezing.
Estimate

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

16%18%+2.9
That it closes, and not trapping the lintel.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • measure openings
  • subframes
  • plumb windows
  • seal lintels
  • adjust sashes
  • foam
  • packers
  • window fittings

Sources for this job· O*NET 47-2121.00· ESCO/ISCO 7125

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