IS WORK OVER?

Automation index

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

A model and a clash come earlier. The site being able to build from that model do not.

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

Task comparison

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

Home-automation installer

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
Diagram, buses and scene programming.
Estimate

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

16%40%+6.4
Wire, sensors and the switch that does not answer.
Estimate

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

18%14%+2.5
Integrate lights, climate and the client app.
Estimate

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

16%32%+5.1
Train, guest mode and the one who breaks it.
Estimate

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

16%22%+3.5
The lived-in house and not leaving it dark.
Estimate

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

18%18%+3.2
That it obeys, and not needing the cloud for a switch.
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

  • program scenes
  • home buses
  • integrate climate
  • sensors
  • home app
  • switches
  • guest mode
  • wire KNX

Sources for this job· O*NET 47-2111.00· ESCO/ISCO 7411

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