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

Payroll clerk

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
Starters, variables and the engine.
Estimate

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

18%48%+8.6
Incidents, the missed day and overtime.
Estimate

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

16%40%+6.4
Social security, tax and the month’s return.
Estimate

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

16%22%+3.5
Query, the payslip and the one who does not get it.
Estimate

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

16%28%+4.5
The close, the rush and not paying twice.
Estimate

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

18%14%+2.5
Pay right, and not leaving anyone at zero.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • payroll starters
  • variables
  • income tax
  • social security
  • payslips
  • overtime
  • payroll close
  • incidents

Sources for this job· O*NET 43-3051.00· ESCO/ISCO 4313

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