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

Last-mile manager

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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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