Life, Physical, and Social Science · United States (national)
Foresters
How exposed this work is to automation, shown as ranges with the reasoning and sources.
The short version: this role is less exposed to automation, and a near-term shift looks unlikely.
It is a sourced range, not a verdict, and the detail is below.
Built on O*NET tasks, BLS pay and projections, and peer-reviewed AI-exposure research. Sources shown.
Data snapshot SNAPSHOT-2026-11-06. How it works
AI / softwarerange 24.8 to 48.8
Physical / roboticsrange 19.1 to 43.1
When the change is likely
Largely unaffectedlocal demand growing
What to do about it
Use AI to outpace AI.
Strategies to protect your livelihood, most important first.
1
Stay sharp; urgency is low
This role looks durable. Keep your skills current and watch for shifts in your field.
2
Build a financial buffer
Keep 6 to 12 months of expenses and diversify your income, so a disruption is a setback rather than a catastrophe.
3
Add a recognised credential
A certification or license raises the bar against automation and signals value in a tightening market.
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Which of my tasks are exposed
Monitor contract compliance and results of forestry activities to assure adherence to government regulations.
50.0
Negotiate terms and conditions of agreements and contracts for forest harvesting, forest management and leasing of forest lands.
100.0
Plan and implement projects for conservation of wildlife habitats and soil and water quality.
50.0
Establish short- and long-term plans for management of forest lands and forest resources.
50.0
Plan cutting programs and manage timber sales from harvested areas, assisting companies to achieve production goals.
50.0
Determine methods of cutting and removing timber with minimum waste and environmental damage.
50.0
Perform inspections of forests or forest nurseries.
100.0
Map forest area soils and vegetation to estimate the amount of standing timber and future value and growth.
50.0
Longer, orange bars are more automatable; short green bars are resistant.
What is driving my result
lowers risk
raises risk
Task: Negotiate terms and conditions of agreements and contracts for forest harvesting, forest management and leasing of forest lands.
Task: Perform inspections of forests or forest nurseries.
Local demand is growing
How this score is calculated
Map Foresters to its standard O*NET task list (8 core tasks).
Score each task for AI/software exposure (Eloundou et al. 2023) and physical/robotics exposure (an O*NET work-context proxy), each 0 to 100.
The two axis scores are the task averages: AI 36.8, robotics 31.1.
The timeline comes from the higher axis (36.8), shifted for local demand (growing), and seniority. It is read against your remaining working years.
Ranges are about ±12 points. A backtest against real BLS employment change shows the risk ranking holds in aggregate, but individual outcomes are predicted weakly, so results are ranges, never a flat verdict.
Sources: O*NET, Eloundou et al. (2023), GPTs are GPTs, O*NET Work Context, BLS CPI-U, BLS OEWS.
Snapshot SNAPSHOT-2026-11-06. Full method and backtest on How it works.