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

Agile coach

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
Boards, metrics and the cadence design.
Estimate

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

16%40%+6.4
The real retro and the elephant in the room.
Estimate

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

18%14%+2.5
Train, unblock and the manager who will not let go.
Estimate

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

16%32%+5.1
Scale, dependencies and fake agile.
Estimate

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

16%28%+4.5
Conflict, power and not selling extra frameworks.
Estimate

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

18%18%+3.2
That they stop faking it, and not inflating velocity.
Estimate

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

16%14%+2.2
Total100%24%

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

Skills and activities

  • retros
  • agile cadence
  • unblock teams
  • flow metrics
  • fake agile
  • agile training
  • dependencies
  • velocity

Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421

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