Automation index
How much of a Metro driver’s job can AI already do?
ATO and a log come earlier. Driving a full train and reacting in the tunnel do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Metro driver
19%
AI can already do 19% of this job.
#486 / 633
View rankingMetro 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 |
|---|---|---|---|
Checks, tests and the cab log.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Drive, stop at platforms and regulate running.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 8% | +1.9 |
Incidents, evacuation and talk to Control.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Timetables, reliefs and the day’s orders.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Passengers, platforms and announcements.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
Rules, fatigue and liability for the train.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- drive metro trains
- stop at platforms
- regulate running
- evacuate tunnels
- talk to control
- cab checks
- handle incidents
- drive under ATO
Sources for this job· O*NET 53-4041.00· ESCO/ISCO 8311
IS WORK OVER?
Climatologist
27%
#140 / 633
View rankingClimatologist
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 |
|---|---|---|---|
Series, homogenise and the gap.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Models, scenarios and the uncertainty.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Report, the headline and not selling the easy one.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Field, the station and the one that moves.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The politician, the figure and not staying quiet.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Attribute, and not selling the headline.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
- climate series
- homogenise
- scenarios
- uncertainty
- headlines
- stations
- climate reports
- attribution
Sources for this job· O*NET 19-2021.00· ESCO/ISCO 2112