IS WORK OVER?

Automation index

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

A setting-out comes earlier. Partition plumb and not hearing the neighbour do not.

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

Task comparison

Plasterboard fitter

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
Setting-out, tracks and the board cut list.
Estimate

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

16%32%+5.1
Studs, boards and the screw to the noggin.
Estimate

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

22%8%+1.8
Insulation, joints and hearing the neighbour.
Estimate

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

16%22%+3.5
Jointing, corners and the painter behind.
Estimate

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

16%28%+4.5
Services, pipe runs and not chopping extra.
Estimate

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

16%18%+2.9
Plumb, and not leaving the joint proud.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • fit plasterboard
  • set out partitions
  • tracks
  • jointing
  • acoustic insulation
  • boards
  • corners
  • service runs

Sources for this job· O*NET 47-2081.00· ESCO/ISCO 7123

Process engineer

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
P&IDs, balances and the operating procedure.
Estimate

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

18%48%+8.6
Plant, trials and the real bottleneck.
Estimate

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

16%22%+3.5
Capacity, yields and the improvement report.
Estimate

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

16%40%+6.4
Start-up, shutdown and the shift that skips the SOP.
Estimate

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

16%18%+2.9
Process safety and the HAZOP that hurts.
Estimate

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

18%14%+2.5
Not overloading the reactor, and signing the change.
Estimate

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

16%12%+1.9
Total100%26%

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

Skills and activities

  • P&IDs
  • mass balances
  • HAZOP
  • plant start-up
  • improve yields
  • SOP
  • bottlenecks
  • process safety

Sources for this job· O*NET 17-2112.00· ESCO/ISCO 2141

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