Automation index
How much of a Tractor driver’s job can AI already do?
A field map comes earlier. Ploughing straight without running over the irrigation do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Tractor driver
19%
AI can already do 19% of this job.
#554 / 643
View rankingTractor 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 |
|---|---|---|---|
Field, implements and the day’s log.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Plough, sow and the GPS that drops.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Irrigation, the pipe and not running a wheel over.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Maintenance, grease and the implement that breaks.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The rain, the mud and not sinking the field.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
A straight furrow, and not running over the irrigation.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
- plough
- sow
- implements
- farm GPS
- fields
- grease the tractor
- pipe irrigation
- mud
Sources for this job· O*NET 45-2091.00· ESCO/ISCO 8341
IS WORK OVER?
Last-mile manager
26%
#216 / 643
View rankingLast-mile manager
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 |
|---|---|---|---|
Zones, capacity and route cuts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
KPIs, first attempt and incidents.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The courier, the lobby and the one who will not open.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Peaks, rain and hiring too many or too few.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The angry customer and not dressing delivered.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cover the peak, and not leaving the neighbourhood orphaned.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
- delivery zones
- first attempt
- delivery KPIs
- last-mile peaks
- lobbies
- delivery incidents
- courier capacity
- cut routes
Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324