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.
#506 / 713
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?
Instructional designer
27%
#158 / 713
View rankingInstructional designer
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 |
|---|---|---|---|
Aim, the storyboard and the module.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Pilot, the learner and what is not understood.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Activity, the feedback and not putting a silly test.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
LMS, the figure and not inflating completion.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The client, the deadline and not cutting the practice.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That they learn, and not leaving the empty video.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
- course storyboard
- modules
- learner pilot
- activities
- LMS
- completion
- feedback
- not a silly test
Sources for this job· O*NET 25-9031.00· ESCO/ISCO 2351