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?
Cartographer
31%
#31 / 633
View rankingCartographer
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 |
|---|---|---|---|
Sources, OSM, satellite and generalisation.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Symbology, type and visual hierarchy.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Projections, scales and getting the heights right.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Review with the client, the field and the lie in the data.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Print maps, web maps and updates.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Credit, metadata and owning the map.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- make maps
- generalise cartography
- symbology
- choose projection
- visual hierarchy
- update OSM
- web maps
- maps that do not lie
Sources for this job· O*NET 17-1021.00· ESCO/ISCO 2165