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

Actuary

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
Run models, reserves and sensitivities.
Estimate

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

24%55%+13.2
Draft technical reports and memos.
Estimate

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

18%48%+8.6
Choose assumptions, tables and criteria.
Estimate

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

16%22%+3.5
Explain to the board and the supervisor.
Estimate

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

16%15%+2.4
Validate data quality and bias.
Estimate

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

14%12%+1.7
Signed opinion and professional liability.
Estimate

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

12%18%+2.2
Total100%32%

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

Skills and activities

  • Run models, reserves and sensitivities
  • Draft technical reports and memos
  • Choose assumptions, tables and criteria
  • Explain to the board and the supervisor
  • Validate data quality and bias
  • Signed opinion and professional liability
  • actuario
  • actuary

Sources for this job· O*NET 15-2011.00· ESCO/ISCO 2120

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