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?
Tram driver
19%
#487 / 633
View rankingTram driver
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 |
|---|---|---|---|
Checks, log and the cab.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Drive, stops and the pedestrian who steps out.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 8% | +1.9 |
Badly parked car, calls and Control.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Timetable, reliefs and rush hour.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The tourist, the bike and not over-hooting.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
Hit nobody, and make the terminus.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- drive trams
- urban stops
- pedestrians
- badly parked cars
- Control
- rush hour
- cab checks
- terminus
Sources for this job· O*NET 53-4041.00· ESCO/ISCO 8311