IS WORK OVER?

Automation index

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

A measure and an order come earlier. A wall that is true and does not crack does not.

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

Task comparison

Plasterer

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, order material and set out.
Estimate

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

16%28%+4.5
Lay on, float and reinforce corners.
Estimate

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

24%8%+1.9
Scaffolds, heights and protection.
Estimate

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

16%12%+1.9
Site, tradesman and job deadlines.
Estimate

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

16%18%+2.9
Logs, quantities and extras.
Estimate

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

14%22%+3.1
Not leaving a ceiling that falls.
Estimate

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

14%14%+2
Total100%16%

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

Skills and activities

  • build walls
  • plaster
  • site work
  • Measure, order material and set out
  • Lay on, float and reinforce corners
  • Scaffolds, heights and protection
  • Site, tradesman and job deadlines
  • Logs, quantities and extras
  • Not leaving a ceiling that falls
  • yesero

Sources for this job· O*NET 47-2161.00· ESCO/ISCO 7123

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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