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?

22%

AI can already do 22% of this job.

#319 / 633

Pesticide applicator

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. 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
Total	100%		22%

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

IS WORK OVER?

19%

#486 / 633

Metro driver

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, tests and the cab log. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Drive, stop at platforms and regulate running. Estimate No public source provides a precise figure. This is our estimate.	24%	8%	+1.9
Incidents, evacuation and talk to Control. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Timetables, reliefs and the day’s orders. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Passengers, platforms and announcements. Estimate No public source provides a precise figure. This is our estimate.	14%	18%	+2.5
Rules, fatigue and liability for the train. Estimate No 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