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?
UX writer
28%
#125 / 633
View rankingUX writer
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 |
|---|---|---|---|
Microcopy, errors and the UI tone.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Glossary, consistency and i18n strings.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
User tests and the button nobody taps.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Legal, the disclaimer and not scaring people.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Design, product and the extra word.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it is understood, and not sounding like an ad.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- microcopy
- UI tone
- error messages
- UX glossary
- i18n
- comprehension tests
- disclaimers
- UI strings
Sources for this job· O*NET 27-3043.00· ESCO/ISCO 2641