AI exposure Farming, fishing and forestry
Will AI replace forest and conservation workers?
Forest and Conservation Workers. US occupation 45-4011.
The reading
0.0%
of the time forest and conservation workers spend on their work goes on tasks where AI is already being used to do that work.of forest and conservation workers' working hours go on tasks AI has already started taking off their plate.
Ranked 346 of 756 US occupations. No AI use seen in the work yet, along with 410 other occupations.No handover started yet, along with 410 other occupations.
Per cent of working time Square-law scale
Average US job 7.7%
Among the least exposed jobs there are.Still waiting for liberation.
What AI already does for forest and conservation workersWhat forest and conservation workers no longer do alone
O*NET lists 17 tasks for forest and conservation workers. None of them shows meaningful AI use at work yet.
What it does not touch, yetWhat still needs a human
17 of the 17 tasks show no AI use at work in the data.
- Check equipment to ensure that it is operating properly.Core task
- Confer with other workers to discuss issues, such as safety, cutting heights, or work needs.Core task
- Fight forest fires or perform prescribed burning tasks under the direction of fire suppression officers or forestry technicians.Core task
- Perform fire protection or suppression duties, such as constructing fire breaks or disposing of brush.Core task
- Erect signs or fences, using posthole diggers, shovels, or other hand tools.
- Explain or enforce regulations regarding camping, vehicle use, fires, use of buildings, or sanitation.
Show the other 11
- Identify diseased or undesirable trees and remove them, using power saws or hand saws.
- Maintain campsites or recreational areas, replenishing firewood or other supplies and cleaning kitchens or restrooms.
- Maintain tallies of trees examined and counted during tree marking or measuring efforts.
- Operate skidders, bulldozers, or other prime movers to pull a variety of scarification or site preparation equipment over areas to be regenerated.
- Provide assistance to forest survey crews by clearing site-lines, holding measuring tools, or setting stakes.
- Prune or shear tree tops or limbs to control growth, increase density, or improve shape.
- Select or cut trees according to markings or sizes, types, or grades.
- Select tree seedlings, prepare the ground, or plant the trees in reforestation areas, using manual planting tools.
- Sort tree seedlings, discarding substandard seedlings, according to standard charts or verbal instructions.
- Spray or inject vegetation with insecticides to kill insects or to protect against disease or with herbicides to reduce competing vegetation.
- Thin or space trees, using power thinning saws.
How that compares
Among the 11 farming, fishing and forestry occupations, forest and conservation workers rank 8. The group averages 0.2%, and its most exposed job is Farmworkers and Laborers, Crop, Nursery, and Greenhouse at 2.0%. The average US occupation sits at 7.7%.
Level with 0.0%
- 346Food Servers, Nonrestaurant 0.0%
- 346Food Service Managers 0.0%
- 346Forensic Science Technicians 0.0%
What this does and does not mean
Exposure is observed use, not a forecast. Anthropic maps work conversations with Claude onto the tasks O*NET lists for each job and asks, of the tasks AI could speed up, which are actually being used for at work. A use that does the task outright counts in full and a use that assists a person counts half. The task scores are averaged into the occupation figure by the share of time spent on each task.
A high figure means AI is already part of how this work gets done. It does not mean anyone has been replaced. Anthropic's own reading of the labour market finds no systematic rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting exposed jobs.No measurable rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting these jobs. Gap years for everyone. Labor market impacts, 5 March 2026.
Task list and titles from O*NET 31.0 by the US Department of Labor, Employment and Training Administration, used under the CC BY 4.0 licence. Scores from the Anthropic Economic Index (CC BY). Checked 1 November 2026. How the ranking works.