Automation index
How much of a Car salesperson’s job can AI already do?
A valuer and stock come earlier. Closing the deal without the car coming back do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Car salesperson
22%
AI can already do 22% of this job.
#399 / 633
View rankingCar salesperson
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 |
|---|---|---|---|
Stock, valuation and the card.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Test drive, objections and the one who will not decide.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Finance, the bank and the one who fails.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Handover, the extra and the one who argues the scratch.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The boss, the margin and not giving the discount away.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Close the deal, and it not coming back.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- value cars
- test drives
- finance
- handover
- stock
- margin
- scratches
- objections
Sources for this job· O*NET 41-2031.00· ESCO/ISCO 5223
IS WORK OVER?
Mobile developer
28%
#92 / 633
View rankingMobile developer
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 |
|---|---|---|---|
Screens, API and offline state.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Store review, crashlytics and ANRs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Real device, the notch and fragmented Android.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
CI, tests and the week's release.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Product, the redesign and not breaking what people use.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not crash, and not ignoring the one-star.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- build apps
- ship to stores
- crashlytics
- offline state
- ANRs
- mobile tests
- fragmented Android
- store review
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514