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.
#346 / 643
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?
Clinical research associate
27%
#172 / 643
View rankingClinical research associate
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 |
|---|---|---|---|
Protocol, CRF and the monitoring visit.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Source, the gap and the one that does not fit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Adverse event, the deadline and not delaying.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Consent, the signature and the one who did not understand.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The sponsor, the audit and not dressing the figure.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Audit, and not leaving a made-up figure.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- CRF
- monitoring
- adverse events
- informed consent
- source data
- trial audits
- clinical protocols
- site visits
Sources for this job· O*NET 11-9121.00· ESCO/ISCO 2131