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
IS WORK OVER?
Pesticide applicator
22%
AI can already do 22% of this job.
#319 / 633
View rankingPesticide 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.
| Task | Share | AI | Points |
|---|---|---|---|
Log, product and the dose.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Apply, drift and the wind that gets up.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 12% | +2.2 |
The withholding period and the one who wants in now.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
PPE, the container and the collection point.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The neighbour, the bees and stopping in time.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Not taking the river, and signing the treatment.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 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
IS WORK OVER?
Development cooperation officer
26%
#212 / 633
View rankingDevelopment cooperation officer
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.
| Task | Share | AI | Points |
|---|---|---|---|
Agreements, alignment and the SDGs on the card.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Follow-up, missions and reports to the agency.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The local partner, the counterpart and the disagreement.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Budget, currency and what stays in management.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The context that shifts and reworking the approach.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Not imposing, and accounting on both sides.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- cooperation agreements
- align with SDGs
- agency reports
- southern partners
- monitoring missions
- hard-currency budget
- counterparts
- accountability
Sources for this job· O*NET 19-3094.00· ESCO/ISCO 2635