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.
#625 / 713
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?
Instructional designer
27%
#158 / 713
View rankingInstructional designer
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 |
|---|---|---|---|
Aim, the storyboard and the module.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Pilot, the learner and what is not understood.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Activity, the feedback and not putting a silly test.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
LMS, the figure and not inflating completion.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The client, the deadline and not cutting the practice.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That they learn, and not leaving the empty video.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
- course storyboard
- modules
- learner pilot
- activities
- LMS
- completion
- feedback
- not a silly test
Sources for this job· O*NET 25-9031.00· ESCO/ISCO 2351