IS WORK OVER?

Automation index

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

A junction detail comes earlier. No leak at the parapet joint do not.

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

Task comparison

Waterproofer

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
Substrate, fall and primer.
Estimate

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

16%32%+5.1
Membrane, weld and the parapet junction.
Estimate

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

18%12%+2.2
Flood test and the leak that shows.
Estimate

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

16%22%+3.5
Details, outlets and pipe penetrations.
Estimate

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

16%32%+5.1
The roof, the wind and not flying a sheet.
Estimate

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

18%18%+3.2
No leak, and not skimping the overlap.
Estimate

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

16%12%+1.9
Total100%21%

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

Skills and activities

  • weld membranes
  • parapet junctions
  • flood test
  • outlets
  • primer
  • pipe penetrations
  • roof falls
  • laps

Sources for this job· O*NET 47-2181.00· ESCO/ISCO 7121

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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