IS WORK OVER?

Automation index

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

A field map comes earlier. Ploughing straight without running over the irrigation do not.

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

Task comparison

Tractor driver

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
Field, implements and the day’s log.
Estimate

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

16%32%+5.1
Plough, sow and the GPS that drops.
Estimate

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

22%8%+1.8
Irrigation, the pipe and not running a wheel over.
Estimate

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

16%22%+3.5
Maintenance, grease and the implement that breaks.
Estimate

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

16%28%+4.5
The rain, the mud and not sinking the field.
Estimate

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

16%18%+2.9
A straight furrow, and not running over the irrigation.
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

  • plough
  • sow
  • implements
  • farm GPS
  • fields
  • grease the tractor
  • pipe irrigation
  • mud

Sources for this job· O*NET 45-2091.00· ESCO/ISCO 8341

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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