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

University tutor

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
Form, the file and the one who does not come.
Estimate

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

18%48%+8.6
Mark, the cut and the one who gives up.
Estimate

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

16%40%+6.4
Grant, the paper and not letting it lapse.
Estimate

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

16%22%+3.5
Health, the referral and not playing clinician.
Estimate

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

16%28%+4.5
The dean, the dropout figure and not dressing it.
Estimate

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

18%14%+2.5
That they ask for help, and not dropping out.
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

  • university tutoring
  • degree dropout
  • grants
  • files
  • health referral
  • the dean
  • grade cuts
  • tutoring forms

Sources for this job· O*NET 25-1199.00· ESCO/ISCO 2310

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