Not assessed
unknown
sources: BLS OES (approx) · O*NET
0 sources
5 core tasks shown
Forest and Conservation Technicians High exposure: 0 of 5 core tasks show high task automation potential : exposure 50/100 (not assessed).
No model has published evidence mapped to this occupation yet - the score comes from generic task assessment.
Score breakdown
Why this score?
Every component is stored with the score row and can be recomputed from the evidence table.
Methodology - · score - · input hash -
Strength of current models on the capabilities this job's tasks require.
Task-level exposure, weighted by task importance. A component of the headline, not the headline itself.
Evidence that AI is actually being used for this work.
Observed changes in postings, employment or earnings.
Quantity and source quality of the evidence behind the score.
0 evidence item(s) contribute. Calculated -.
Overview
Provide technical assistance regarding the conservation of soil, water, forests, or related natural resources. May compile data pertaining to size, content, condition, and other characteristics of forest tracts under the direction of foresters, or train and lead forest workers in forest propagation and fire prevention and suppression. May assist conservation scientists in managing, improving, and protecting rangelands and wildlife habitats.
Employment
-
approx. BLS OES
Median wage
-
approx. BLS OES
Tasks tracked
5
linked to this occupation
Employment and wage values are approximate reference figures from the BLS Occupational Employment and Wage Statistics programme, stored with an approximation flag. Verify against the O*NET record and BLS before quoting them.
Tasks
Task-level automation exposure
Core tasks only. Exposure describes how much of the task output current AI can produce or substantially assist - not whether the task disappears. Secondary shared-baseline edges are hidden until per-occupation curation is complete.
core task · importance 3.9/5
core task · importance 3.7/5
core task · importance 3.5/5
core task · importance 3.5/5
core task · importance 3.3/5
Evidence
Evidence trail
0 attributed item(s). Confidence reflects study design: randomised and production deployments score higher than platform observations, which score higher than projections.
No occupation-specific evidence has been mapped yet. This occupation is scored from generic task assessment only - a genuinely weaker basis, and the reason its score is marked low-confidence.
Historical trend
Exposure over time
Backcast series: recomputed at quarterly checkpoints using only the models and evidence published by each date.
No series yet
This chart fills in once the first snapshot is recorded.
Reconstruction, not measurement. 0 observed daily snapshot(s) exist for this occupation; the earlier part of the curve is derived by applying the current methodology to the model releases and published evidence available at each past date.
Recent events
Signals affecting this occupation
No events match this filter yet. New verified events appear here as analysis completes.
Related
Related Occupations
Occupations sharing major SOC group (19) with Forest and Conservation Technicians.
faq
Frequently Asked Questions
Common questions regarding Forest and Conservation Technicians and AI exposure.
Will AI replace Forest and Conservation Technicians?
Current AI models show an exposure score of 50/100 for Forest and Conservation Technicians. This measures technical capability to assist or automate specific tasks rather than predicted immediate job loss. Moderate exposure reflects assistance in routine information-handling while core responsibilities require human judgment.
Which tasks in Forest and Conservation Technicians have the highest AI exposure?
The most exposed tasks for Forest and Conservation Technicians include "Thin and space trees and control weeds and undergrowth, using manual tools and chemicals, or supervise workers performi…" (50% exposure) and "Train and lead forest and conservation workers in seasonal activities, such as planting tree seedlings, putting out for…" (50% exposure).
What aspects of Forest and Conservation Technicians can AI not do yet?
Tasks with the lowest AI exposure for Forest and Conservation Technicians include "Map forest tract data using digital mapping systems." (50% exposure) and "Patrol park or forest areas to protect resources and prevent damage." (50% exposure). These responsibilities typically require physical dexterity, licensed human accountability, or complex interpersonal navigation.
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Notice: All ratings shown are AI-estimated technical exposure scores measuring technical capabilities across O*NET task statements, not predicted job loss. Contains information from O*NET 31.0 by the U.S. Department of Labor, ETA, used under CC BY 4.0.