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

Private-hire driver

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
App, routes and airport times.
Estimate

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

16%40%+6.4
Drive, pick up and drop the client.
Estimate

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

22%10%+2.2
Car, cleanliness and maintenance.
Estimate

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

16%18%+2.9
Service, bags and difficult clients.
Estimate

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

16%22%+3.5
Shifts, fatigue and zones.
Estimate

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

16%16%+2.6
Not missing a flight or a passenger.
Estimate

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

14%14%+2
Total100%20%

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

Skills and activities

  • drive
  • route
  • load goods
  • App, routes and airport times
  • Drive, pick up and drop the client
  • Car, cleanliness and maintenance
  • Service, bags and difficult clients
  • Shifts, fatigue and zones
  • Not missing a flight or a passenger
  • conductor vtc

Sources for this job· O*NET 53-3051.00· ESCO/ISCO 8322

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