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.
#431 / 653
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?
Clinical research associate
27%
#172 / 653
View rankingClinical research associate
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 |
|---|---|---|---|
Protocol, CRF and the monitoring visit.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Source, the gap and the one that does not fit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Adverse event, the deadline and not delaying.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Consent, the signature and the one who did not understand.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The sponsor, the audit and not dressing the figure.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Audit, and not leaving a made-up figure.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
- CRF
- monitoring
- adverse events
- informed consent
- source data
- trial audits
- clinical protocols
- site visits
Sources for this job· O*NET 11-9121.00· ESCO/ISCO 2131