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

Station master

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
Graph, orders and the station log.
Estimate

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

16%40%+6.4
Platforms, the crossing and the late train.
Estimate

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

18%14%+2.5
Staff, shifts and the ticket-office gap.
Estimate

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

16%32%+5.1
Incident, passengers and the PA.
Estimate

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

16%22%+3.5
Works, closures and leaving nobody on the platform.
Estimate

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

18%18%+3.2
That they do not meet, and signing the graph.
Estimate

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

16%12%+1.9
Total100%23%

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

Skills and activities

  • train graph
  • orders
  • platforms
  • ticket office
  • PA
  • line crossings
  • station shifts
  • station logs

Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323

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