Automation index
How much of a Train driver’s job can AI already do?
A diagram and a log come earlier. Stopping a train full of people does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Train driver
18%
AI can already do 18% of this job.
#679 / 743
View rankingTrain driver
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 |
|---|---|---|---|
Diagrams, notices and train logs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Drive, brake and obey signals.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 8% | +1.9 |
Incidents, passengers and radio.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Fitness, fatigue and rules.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Shunting, depots and couplings.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 16% | +2.2 |
Not running a red or a platform.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 18% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Diagrams, notices and train logs
- Drive, brake and obey signals
- Incidents, passengers and radio
- Fitness, fatigue and rules
- Shunting, depots and couplings
- Not running a red or a platform
- maquinista
- train driver
- conductor de tren
Sources for this job· O*NET 53-4011.00· ESCO/ISCO 8311
IS WORK OVER?
Reliability engineer
27%
#176 / 743
View rankingReliability engineer
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 |
|---|---|---|---|
Data, MTBF and the Pareto.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Failure, the cause and not patching twice.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Spare, the critical and not hiding it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
RCM, the plan and the one that is not done.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Production, the rush and not running the tired one.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not drop at three, and not hiding the spare.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- MTBF
- Pareto
- root causes
- critical spares
- RCM
- failures
- maintenance plans
- not patch twice
Sources for this job· O*NET 17-2112.00· ESCO/ISCO 2141