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

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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