IS WORK OVER?

Automation index

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

A thickness calc comes earlier. No thermal bridge and a liveable house do not.

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

Task comparison

Insulation installer

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
Measure, thicknesses and the panel list.
Estimate

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

16%36%+5.8
Fit, seal and the bridge you leave.
Estimate

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

18%12%+2.2
Roof, façade and the wind on the scaffold.
Estimate

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

16%22%+3.5
Barriers, vapour and condensation.
Estimate

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

16%32%+5.1
The designer, the change and late material.
Estimate

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

18%18%+3.2
No bridge, and not crushing the insulation.
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

  • fit insulation
  • thermal bridges
  • vapour barrier
  • thicknesses
  • insulated façade
  • condensation
  • seal panels
  • roof

Sources for this job· O*NET 47-2131.00· ESCO/ISCO 7124

Olive-oil miller

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
Intake, yield and the mill log.
Estimate

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

16%40%+6.4
Crush, malaxate and the decanter.
Estimate

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

18%12%+2.2
Temperature, time and the fruitiness.
Estimate

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

16%28%+4.5
Cellar, the batch and the one that goes rancid.
Estimate

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

16%22%+3.5
The campaign, the tractor queue and not heating.
Estimate

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

18%18%+3.2
Cold for real, and not painting the yield.
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

  • crush olives
  • malaxation
  • decanter
  • fruitiness
  • the campaign
  • mill yield
  • oil cellar
  • extraction temperature

Sources for this job· O*NET 51-3092.00· ESCO/ISCO 7514

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