Automation index
How much of a Tram driver’s job can AI already do?
Urban ATO comes earlier. Crossing pedestrians without clipping the badly parked car do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Tram driver
19%
AI can already do 19% of this job.
#487 / 633
View rankingTram 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, log and the cab.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Drive, stops and the pedestrian who steps out.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 8% | +1.9 |
Badly parked car, calls and Control.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Timetable, reliefs and rush hour.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The tourist, the bike and not over-hooting.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
Hit nobody, and make the terminus.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 trams
- urban stops
- pedestrians
- badly parked cars
- Control
- rush hour
- cab checks
- terminus
Sources for this job· O*NET 53-4041.00· ESCO/ISCO 8311
IS WORK OVER?
Forklift operator
17%
#587 / 633
View rankingForklift operator
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 |
|---|---|---|---|
Notes, locations and picking routes.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Drive, lift and stack.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 8% | +1.9 |
Loads, centres of gravity and aisles.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
Shift, radio and dock.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Logs, incidents and counts.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 22% | +3.1 |
Not hitting anyone or a pallet.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 17% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Notes, locations and picking routes
- Drive, lift and stack
- Loads, centres of gravity and aisles
- Shift, radio and dock
- Logs, incidents and counts
- Not hitting anyone or a pallet
- carretillero
- carretilla
- forklift
Sources for this job· O*NET 53-7051.00· ESCO/ISCO 8344