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

Station master

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
Graph, orders and the station log.
Estimate

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

16%40%+6.4
Platforms, the crossing and the late train.
Estimate

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

18%14%+2.5
Staff, shifts and the ticket-office gap.
Estimate

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

16%32%+5.1
Incident, passengers and the PA.
Estimate

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

16%22%+3.5
Works, closures and leaving nobody on the platform.
Estimate

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

18%18%+3.2
That they do not meet, and signing the graph.
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

  • train graph
  • orders
  • platforms
  • ticket office
  • PA
  • line crossings
  • station shifts
  • station logs

Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323

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