IS WORK OVER?

Automation index

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

A progress log comes earlier. Clean water without collapsing the well do not.

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

Task comparison

Well driller

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
Location, permit and the progress log.
Estimate

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

16%32%+5.1
Drill, case and the collapse.
Estimate

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

22%8%+1.8
Mud, samples and the geological log.
Estimate

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

16%22%+3.5
Yield test, pump and the water analysis.
Estimate

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

16%28%+4.5
The owner, the neighbour and the well that will not yield.
Estimate

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

16%18%+2.9
Clean water, and not leaving a blind well.
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

  • drill wells
  • case
  • yield test
  • drilling mud
  • geological log
  • samples
  • well pumps
  • drilling permits

Sources for this job· O*NET 47-5023.00· ESCO/ISCO 8113

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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