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.
#342 / 633
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?
BI analyst
34%
#18 / 633
View rankingBI analyst
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 |
|---|---|---|---|
Model data, light ETL and dashboards.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Write SQL, measures and docs.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 50% | +9 |
Define KPIs with the business and negotiate meaning.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Present insights and defend the number.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Data quality, alerts and lineage.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Prioritise requests and say no.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model data, light ETL and dashboards
- Write SQL, measures and docs
- Present insights and defend the number
- Data quality, alerts and lineage
- Prioritise requests and say no
- business intelligence
- analista bi
- power bi
- looker
Sources for this job· O*NET 15-2051.00· ESCO/ISCO 2511