Automation index
How much of a Forestry engineer’s job can AI already do?
An inventory and a plan come earlier. Marking a forest and not letting it burn do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Forestry engineer
22%
AI can already do 22% of this job.
#348 / 643
View rankingForestry 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 |
|---|---|---|---|
Inventory, GIS and management plans.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Projects, felling and replanting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Forest, fire and pests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Authorities, hunters and neighbours.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Biodiversity, tracks and water.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Not signing a cut that leaves the forest empty.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
- Inventory, GIS and management plans
- Projects, felling and replanting
- Forest, fire and pests
- Authorities, hunters and neighbours
- Biodiversity, tracks and water
- ingeniero forestal
- forestry engineer
Sources for this job· O*NET 19-1032.00· ESCO/ISCO 2132
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