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?

22%

AI can already do 22% of this job.

#342 / 633

Forestry engineer

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. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Projects, felling and replanting. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Forest, fire and pests. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Authorities, hunters and neighbours. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Biodiversity, tracks and water. Estimate No public source provides a precise figure. This is our estimate.	18%	16%	+2.9
Not signing a cut that leaves the forest empty. Estimate No 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

IS WORK OVER?

24%

#256 / 633

Community health worker

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
Health map, workshops and the calendar. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Street, doorway and the neighbour who does not come. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Vaccines, screening and referring to the clinic. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Data, report and the health table. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The rumour, the distrust and not moralising. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
That they come, and not inflating workshop numbers. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		24%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low