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?

22%

AI can already do 22% of this job.

#399 / 633

Car salesperson

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. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Test drive, objections and the one who will not decide. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Finance, the bank and the one who fails. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Handover, the extra and the one who argues the scratch. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
The boss, the margin and not giving the discount away. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Close the deal, and it not coming back. Estimate No 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

IS WORK OVER?

26%

#211 / 633

Last-mile manager

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
Zones, capacity and route cuts. Estimate No public source provides a precise figure. This is our estimate.	16%	44%	+7
KPIs, first attempt and incidents. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
The courier, the lobby and the one who will not open. Estimate No public source provides a precise figure. This is our estimate.	18%	16%	+2.9
Peaks, rain and hiring too many or too few. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The angry customer and not dressing delivered. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Cover the peak, and not leaving the neighbourhood orphaned. Estimate No 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