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?
Prompt engineer
34%
#21 / 643
View rankingPrompt 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 prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512