IS WORK OVER?

Automation index

How much of a Irrigation technician’s job can AI already do?

A controller comes earlier. Watering the block without drowning the field do not.

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

Task comparison

Irrigation technician

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
Flow, controller and the sector.
Estimate

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

16%40%+6.4
Dripper, valve and the leak you cannot see.
Estimate

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

18%14%+2.5
Filters, fertigation and the blockage.
Estimate

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

16%28%+4.5
Field, pressure and the one that does not reach the end.
Estimate

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

16%22%+3.5
The drought, the water turn and not fighting the flow.
Estimate

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

18%18%+3.2
The block watered, and not drowning it.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • irrigation controllers
  • drippers
  • sectors
  • fertigation
  • valves
  • filters
  • field pressure
  • water turns

Sources for this job· O*NET 45-2091.00· ESCO/ISCO 6114

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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