IS WORK OVER?

Automation index

How much of a Paver’s job can AI already do?

A fall set-out comes earlier. Leaving a pavement that does not pond do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Paver

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.

TaskShareAIPoints
Set-out, levels and layer thickness.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
Lay, compact and the edge that opens.
Estimate

No public source provides a precise figure. This is our estimate.

22%8%+1.8
Joints, seals and the gully junction.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Plant, mix temperature and the cold day.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Traffic, the closure and not leaving a step.
Estimate

No public source provides a precise figure. This is our estimate.

16%18%+2.9
No ponding, and not skimping compaction.
Estimate

No public source provides a precise figure. This is our estimate.

14%12%+1.7
Total100%19%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • lay asphalt
  • compact
  • falls
  • pavement joints
  • gullies
  • mix temperature
  • pavement levels
  • seals

Sources for this job· O*NET 47-2071.00· ESCO/ISCO 7112

Car 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.

TaskShareAIPoints
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
Total100%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

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