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.
#589 / 653
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?
Clinical research associate
27%
#172 / 653
View rankingClinical research associate
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 |
|---|---|---|---|
Protocol, CRF and the monitoring visit.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Source, the gap and the one that does not fit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Adverse event, the deadline and not delaying.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Consent, the signature and the one who did not understand.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The sponsor, the audit and not dressing the figure.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Audit, and not leaving a made-up figure.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
- CRF
- monitoring
- adverse events
- informed consent
- source data
- trial audits
- clinical protocols
- site visits
Sources for this job· O*NET 11-9121.00· ESCO/ISCO 2131