IS WORK OVER?

Automation index

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

A farm log comes earlier. Treating without taking the neighbour or the river do not.

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

Task comparison

Pesticide applicator

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
Log, product and the dose.
Estimate

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

16%40%+6.4
Apply, drift and the wind that gets up.
Estimate

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

18%12%+2.2
The withholding period and the one who wants in now.
Estimate

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

16%28%+4.5
PPE, the container and the collection point.
Estimate

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

16%22%+3.5
The neighbour, the bees and stopping in time.
Estimate

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

18%18%+3.2
Not taking the river, and signing the treatment.
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

  • farm log
  • pesticide dose
  • drift
  • withholding period
  • PPE
  • empty containers
  • bees
  • field wind

Sources for this job· O*NET 37-3012.00· ESCO/ISCO 6113

Materials engineer

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
Tests, metallography and the spec.
Estimate

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

18%48%+8.6
Shop, heat treatment and the part that fails spec.
Estimate

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

16%22%+3.5
Material choice, corrosion and fatigue.
Estimate

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

16%36%+5.8
Supplier, certificates and the doubtful batch.
Estimate

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

16%28%+4.5
The field failure and the root cause.
Estimate

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

18%14%+2.5
That it does not fail, and not swapping the material blind.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • materials tests
  • metallography
  • choose alloys
  • corrosion
  • fatigue
  • heat treatment
  • failure analysis
  • batch certificates

Sources for this job· O*NET 17-2131.00· ESCO/ISCO 2149

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