IS WORK OVER?

Automation index

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

A bole comes earlier. Laying gold leaf without seeing the join do not.

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

Task comparison

Gilder

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
Prep, bole and the ground.
Estimate

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

16%32%+5.1
Lay, gold leaf and the join.
Estimate

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

22%8%+1.8
Burnish, matte and the one that lifts.
Estimate

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

16%22%+3.5
Frame, altarpiece and the client who touches.
Estimate

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

16%28%+4.5
The humidity, the shop and not laying in a rush.
Estimate

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

16%18%+2.9
No visible join, and not eating the gold.
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

  • bole
  • gold leaf
  • burnish
  • joins
  • frames
  • altarpieces
  • matte
  • gilding ground

Sources for this job· O*NET 51-9123.00· ESCO/ISCO 7316

BIM modeller

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
Model, families and clash detection.
Estimate

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

18%52%+9.4
IFC, BEP and trade coordination.
Estimate

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

16%40%+6.4
Site, the one who will not open the model, and the meeting.
Estimate

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

16%22%+3.5
Quantities, parameters and the 4D nobody uses.
Estimate

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

16%28%+4.5
The last-minute change and not breaking the federated model.
Estimate

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

18%14%+2.5
That it can be built, and not over-modelling.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • BIM modelling
  • clash detection
  • Revit families
  • IFC
  • BEP
  • coordinate trades
  • BIM quantities
  • federated model

Sources for this job· O*NET 17-3011.00· ESCO/ISCO 3118

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