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?
Oceanographer
22%
#366 / 643
View rankingOceanographer
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 |
|---|---|---|---|
Model, buoys and the cruise.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Sea, sampling and the one who misses the cast.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Data, the gap and not interpolating extra.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Report, the coast and the one who will not hear.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The storm, the ship and aborting.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Read the water, and not trusting the model alone.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
- current models
- buoys
- ocean cruises
- sampling
- interpolation
- the coast
- the storm
- casts
Sources for this job· O*NET 19-2042.00· ESCO/ISCO 2114