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.
#391 / 653
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?
Dosimetrist
22%
#338 / 653
View rankingDosimetrist
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 |
|---|---|---|---|
CT, contours and the plan.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Organ at risk, the curve and not overshooting.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Physics, the check and the one that does not fit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Fraction, the setup and the patient who is not the same.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The oncologist, the trade-off and not signing blind.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
The tumour gets it, and the healthy organ does not.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
- dose plans
- contours
- organs at risk
- dosimetry check
- fractions
- setup
- sim CT
- DVH curves
Sources for this job· O*NET 29-2036.00· ESCO/ISCO 3211