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
IS WORK OVER?
Ticket inspector
22%
AI can already do 22% of this job.
#378 / 633
View rankingTicket 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.
| Task | Share | AI | Points |
|---|---|---|---|
Validate, fares and the intervention note.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Aisle, the group and the one who hides.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 12% | +2.2 |
Fines, data and what you can ask.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Incident, the full train and calling the conductor.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The insult, keeping calm and not making a scene.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Charge fairly, and not skipping a coach.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 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
IS WORK OVER?
Miller
22%
#355 / 633
View rankingMiller
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.
| Task | Share | AI | Points |
|---|---|---|---|
Wheat, moisture and the diagram.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Mill, sift and the one that heats.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Quality, ash and the baker who complains.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Cleaning, pests and the silo.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The harvest, the batch and not mixing the wet.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Regular flour, and not scorching the grain.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- mill wheat
- sift
- grain moisture
- ash
- silos
- mill pests
- mill diagrams
- flour batches
Sources for this job· O*NET 51-9021.00· ESCO/ISCO 8160