IS WORK OVER?

Automation index

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

A crop map and a dose come earlier. Walking the farm and not ruining the harvest do not.

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

Task comparison

Agronomist

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
Maps, doses and fertiliser and irrigation plans.
Estimate

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

16%40%+6.4
Projects, subsidy files and paperwork.
Estimate

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

16%28%+4.5
Field, sampling and pests.
Estimate

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

18%14%+2.5
Farmer, co-op and administration.
Estimate

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

16%22%+3.5
Water, soils and sustainability.
Estimate

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

18%16%+2.9
Not prescribing a pesticide blind.
Estimate

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

16%14%+2.2
Total100%22%

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

Skills and activities

  • Projects, subsidy files and paperwork
  • Field, sampling and pests
  • Farmer, co-op and administration
  • Water, soils and sustainability
  • Not prescribing a pesticide blind
  • ingeniero agronomo
  • agronomist

Sources for this job· O*NET 17-2021.00· ESCO/ISCO 2144

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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