Automation index
How much of a Agronomist’s job can AI already do?
A crop map and a dose come earlier. Walking the farm and not ruining the harvest do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Agronomist
22%
AI can already do 22% of this job.
#340 / 633
View rankingAgronomist
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 |
|---|---|---|---|
Maps, doses and fertiliser and irrigation plans.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Projects, subsidy files and paperwork.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Field, sampling and pests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Farmer, co-op and administration.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Water, soils and sustainability.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Not prescribing a pesticide blind.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Projects, subsidy files and paperwork
- Field, sampling and pests
- Farmer, co-op and administration
- Water, soils and sustainability
- Not prescribing a pesticide blind
- ingeniero agronomo
- agronomist
Sources for this job· O*NET 17-2021.00· ESCO/ISCO 2144
IS WORK OVER?
Prompt engineer
34%
#21 / 633
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