Will AI replace Forest and Conservation Workers?

Under supervision, perform manual labor necessary to develop, maintain, or protect areas such as forests, forested areas, woodlands, wetlands, and rangelands through such activities as raising and transporting seedlings; combating insects, pests, and diseases harmful to plant life; and building structures to control water, erosion, and leaching of soil. The percentage shown is a task-exposure model, not a prediction of certain job loss.

O*NET 30.3 · 45-4011.00 · modeled exposure, not guaranteed job loss
LOW TASK EXPOSURE
29%
Estimated share of representative tasks exposed to current AI capabilities.
Task automation share
29%Automatable
Automatable29%
Augmentable39%
Hard to automate32%
Based on analysis of representative responsibilities and current AI capability maturity.
Category#
Trades & Physical
Field & Physical
Modeled pay midpoint$
$90,500/yr
Directional estimate — verify locally
Time until impact
6–10+ years
Earliest 2032 · widespread 2036+
Task-level replaceability
Representative tasks ranked from highest to lowest AI exposure.
Check equipment to ensure that it is operating properly.39%
Fight forest fires or perform prescribed burning tasks under the direction of fire suppression officers or forestry technicians.32%
Perform fire protection or suppression duties, such as constructing fire breaks or disposing of brush.24%
Physical dexterity in unpredictable settings24%
Safety responsibility and on-site judgment20%
Impact timeline
How AI assistance may move from early support to wider adoption.
2032Next2036+
Light supportAI provides limited help with check equipment to ensure that it is operating properly..
AugmentationTools improve productivity without owning outcomes.
Human-ledCore work stays anchored in physical dexterity in unpredictable settings.
6–10+ yearsdirectional confidence window
HOW AI CHANGES THIS JOBtyping the logic in plain English
01>Start with the real work done by Forest and Conservation Workers.
02>AI can help with: Check equipment to ensure that it is operating properly.
03>If a task is repetitive and easy to check, AI pressure goes up.
04>But a person is still needed for: Physical dexterity in unpredictable settings.
05>Likely result: AI mostly acts as a helper while the core job stays human-led.
06>Important: 29% is estimated task exposure—not a 29% chance of losing the job.
What AI can do
Check equipment to ensure that it is operating properly.LOW MATCH
Fight forest fires or perform prescribed burning tasks under the direction of fire suppression officers or forestry technicians.LOW MATCH
Perform fire protection or suppression duties, such as constructing fire breaks or disposing of brush.LOW MATCH
How estimates work →
Your human moat

Physical dexterity in unpredictable settings

HIGH MOAT

Combined with safety responsibility and on-site judgment, this keeps a human in the loop.

Strength9.0
Similar-role comparison
RoleRisk
Forest and Conservation Workers29%
Pest Control Workers29%
Plumber28%
Building Cleaning Workers, All Other30%
i

Why this score?

The model evaluates 3 representative core tasks.
The core work depends on presence, dexterity, or accountability.
Occupation and task language comes from O*NET 30.3.
The strongest human advantage is physical dexterity in unpredictable settings.
Research basis

O*NET 30.3 occupation tasks plus the ILO 2025 exposure framework. Scores are directional estimates.

Read ILO research →
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