Automation index
How much of a Station master’s job can AI already do?
A train graph comes earlier. Leaving on time without meeting on the same line do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Station master
23%
AI can already do 23% of this job.
#302 / 623
View rankingStation master
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 |
|---|---|---|---|
Graph, orders and the station log.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Platforms, the crossing and the late train.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Staff, shifts and the ticket-office gap.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Incident, passengers and the PA.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Works, closures and leaving nobody on the platform.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they do not meet, and signing the graph.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 23% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- train graph
- orders
- platforms
- ticket office
- PA
- line crossings
- station shifts
- station logs
Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323
IS WORK OVER?
Strength and conditioning coach
22%
#365 / 623
View rankingStrength and conditioning coach
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 |
|---|---|---|---|
Load, GPS and the microcycle.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Gym, the pattern and the one who cheats.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Rehab, the injured and not rushing the return.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Report, the manager and the fight over minutes.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The peak, pre-season and not grinding them.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Ready, and not broken.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
- load
- training GPS
- microcycles
- rehab
- movement pattern
- pre-season
- reports to the manager
- the gym
Sources for this job· O*NET 29-9091.00· ESCO/ISCO 3423