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?
Development cooperation officer
26%
#212 / 633
View rankingDevelopment cooperation officer
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 |
|---|---|---|---|
Agreements, alignment and the SDGs on the card.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Follow-up, missions and reports to the agency.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The local partner, the counterpart and the disagreement.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Budget, currency and what stays in management.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The context that shifts and reworking the approach.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Not imposing, and accounting on both sides.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- cooperation agreements
- align with SDGs
- agency reports
- southern partners
- monitoring missions
- hard-currency budget
- counterparts
- accountability
Sources for this job· O*NET 19-3094.00· ESCO/ISCO 2635