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

Family doctor

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
Read history, labs and primary-care protocols.
Estimate

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

16%40%+6.4
Clinic, examination and home visits.
Estimate

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

22%12%+2.6
Explain, refer and hold uncertainty.
Estimate

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

16%22%+3.5
Prescriptions, notes and sick-leave reports.
Estimate

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

16%32%+5.1
List, nursing team and the health centre.
Estimate

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

16%18%+2.9
Primary-care emergencies and not missing a heart attack.
Estimate

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

14%14%+2
Total100%23%

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

Skills and activities

  • care for patients
  • diagnose
  • nursing care
  • clinical notes
  • Clinic, examination and home visits
  • Explain, refer and hold uncertainty
  • List, nursing team and the health centre
  • medico de familia
  • general practitioner

Sources for this job· O*NET 29-1215.00· ESCO/ISCO 2211

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