Automation index
How much of a Parking attendant’s job can AI already do?
A barrier comes earlier. Running the car park without wrecking the person who lost the ticket do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Parking attendant
24%
AI can already do 24% of this job.
#265 / 643
View rankingParking attendant
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 |
|---|---|---|---|
Barriers, tickets and the count.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The one who cannot find the car and the one who will not pay.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Incidents, the down barrier and the jam.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Shift, cash and cashing up.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
The event, the full house and not blocking the street.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Run the car park, and not wrecking the lost-ticket person.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- barriers
- parking tickets
- space count
- cashing up
- stuck barrier
- events
- lost cars
- exit jam
Sources for this job· O*NET 33-9091.00· ESCO/ISCO 5414
IS WORK OVER?
Clinical research associate
27%
#172 / 643
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