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.
#260 / 633
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?
Varnisher
18%
#553 / 633
View rankingVarnisher
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 |
|---|---|---|---|
Colour cards, ranges and orders.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Sand, stain, apply and dry.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Booth, filters and dust.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
Cabinetmaker, deadlines and touch-up.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Repairs in the home and on site.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Not delivering a piece with orange peel.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 18% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Colour cards, ranges and orders
- Sand, stain, apply and dry
- Booth, filters and dust
- Cabinetmaker, deadlines and touch-up
- Repairs in the home and on site
- Not delivering a piece with orange peel
- barnizador
- lacador
- varnisher
Sources for this job· O*NET 51-9123.00· ESCO/ISCO 7522