Automation index
How much of a Driving examiner’s job can AI already do?
A route card comes earlier. Calling the pass from the passenger seat do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Driving examiner
21%
AI can already do 21% of this job.
#417 / 633
View rankingDriving examiner
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 |
|---|---|---|---|
Route, card and the day’s draw.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The test, the serious fault and the one who panics.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Pass or not, the report and not arguing hot.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Driving school, the car and the instructor on the kerb.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Rain, traffic and the same standard.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
A fair pass, and not giving the licence away.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 21% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- test routes
- serious faults
- driving pass
- test reports
- one standard
- driving schools
- candidate nerves
- the licence
Sources for this job· O*NET 13-1041.00· ESCO/ISCO 3359
IS WORK OVER?
Mobile developer
28%
#92 / 633
View rankingMobile developer
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 |
|---|---|---|---|
Screens, API and offline state.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Store review, crashlytics and ANRs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Real device, the notch and fragmented Android.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
CI, tests and the week's release.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Product, the redesign and not breaking what people use.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not crash, and not ignoring the one-star.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- build apps
- ship to stores
- crashlytics
- offline state
- ANRs
- mobile tests
- fragmented Android
- store review
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514