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

Last-mile manager

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
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
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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