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?
Cartographer
31%
#31 / 643
View rankingCartographer
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 |
|---|---|---|---|
Sources, OSM, satellite and generalisation.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Symbology, type and visual hierarchy.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Projections, scales and getting the heights right.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Review with the client, the field and the lie in the data.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Print maps, web maps and updates.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Credit, metadata and owning the map.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- make maps
- generalise cartography
- symbology
- choose projection
- visual hierarchy
- update OSM
- web maps
- maps that do not lie
Sources for this job· O*NET 17-1021.00· ESCO/ISCO 2165