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

Economist

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
Clean data, estimate and produce tables.
Estimate

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

22%52%+11.4
Draft notes, briefs and a first paper.
Estimate

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

18%45%+8.1
Choose model, assumptions and robustness.
Estimate

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

16%22%+3.5
Present to a client, ministry or board.
Estimate

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

16%15%+2.4
Debate, peer-review and defend the numbers.
Estimate

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

14%12%+1.7
Read the political context and data quality.
Estimate

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

14%18%+2.5
Total100%30%

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

Skills and activities

  • Clean data, estimate and produce tables
  • Draft notes, briefs and a first paper
  • Choose model, assumptions and robustness
  • Present to a client, ministry or board
  • Debate, peer-review and defend the numbers
  • economista
  • economist

Sources for this job· O*NET 19-3011.00· ESCO/ISCO 2631

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