Automation index
How much of a Valet’s job can AI already do?
A key tag comes earlier. Not marking the car and having it ready when they come out do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Valet
19%
AI can already do 19% of this job.
#556 / 643
View rankingValet
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 |
|---|---|---|---|
Tag, keys and the bay map.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Drive someone else’s, the tight car park and not marking it.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
The client already out and the car still downstairs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Insurance, the knock and who pays.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The event, the rain and not losing a key.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
No mark, and the car on time.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- keep keys
- park others’ cars
- bay map
- not mark
- valet events
- knock insurance
- tight car park
- return on time
Sources for this job· O*NET 53-6021.00· ESCO/ISCO 8322
IS WORK OVER?
Order picker
22%
#373 / 643
View rankingOrder picker
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 |
|---|---|---|---|
List, location and the scan.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Aisle, height and the parcel that will not fit.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Errors, the short and calling it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Pace, the shift and the pallet that goes.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Peaks, Black Friday and not mixing orders.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Hit the SKU, and not leaving a lame pallet.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- picking
- scan locations
- shorts
- build pallets
- warehouse aisles
- order peaks
- SKUs
- voice picking
Sources for this job· O*NET 53-7062.00· ESCO/ISCO 4321