Automation index
How much of a Tow-truck driver’s job can AI already do?
A call and a route come earlier. Hooking on the hard shoulder without making the crash worse do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Tow-truck driver
20%
AI can already do 20% of this job.
#444 / 633
View rankingTow-truck 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 |
|---|---|---|---|
Call, route and the vehicle type.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Hard shoulder, hook and traffic that will not stop.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Hydraulics, bed and the low car that scrapes.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Garage, the note and the client who argues.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Night, rain and not becoming the next crash.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Not making the crash worse, and signing the hook.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 20% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- hook vehicles
- hard shoulder
- the bed
- recovery calls
- crane hydraulics
- recovery notes
- traffic
- low cars
Sources for this job· O*NET 53-3032.00· ESCO/ISCO 8332
IS WORK OVER?
Station master
23%
#302 / 633
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