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.
#544 / 633
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?
Data engineer
31%
#36 / 633
View rankingData engineer
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 |
|---|---|---|---|
Design pipelines, models and orchestration.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 50% | +12 |
Write SQL, Spark and data tests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Incidents, quality and lineage in production.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to analysts and negotiate data contracts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Cloud cost, permissions and PII.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Decide architecture and technical debt.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design pipelines, models and orchestration
- Write SQL, Spark and data tests
- Cloud cost, permissions and PII
- Decide architecture and technical debt
- ingeniero de datos
- data engineer
- etl
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511