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Dossier #319 // technical exposure assessment

High exposure Estimates vary

Forestry and Conservation Science Teachers, Postsecondary

Category: General · SOC 25-1043.00 · Industry: Cross-industry

AI Exposure (AI-estimated)

n/a
-

Not assessed

Last updated

unknown

sources: BLS OES (approx) · O*NET

Evidence

0 sources

21 core tasks shown

Verdict

Forestry and Conservation Science Teachers, Postsecondary High exposure: 0 of 21 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.

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Score breakdown

Why this score?

Every component is stored with the score row and can be recomputed from the evidence table.

AI Exposure (composite)n/a/100

Methodology - · score - · input hash -

AI capability exposuren/a/100

Strength of current models on the capabilities this job's tasks require.

Task automation potentialn/a/100

Task-level exposure, weighted by task importance. A component of the headline, not the headline itself.

Observed AI adoptionn/a/100

Evidence that AI is actually being used for this work.

Labour-market signaln/a/100

Observed changes in postings, employment or earnings.

Evidence strengthn/a/100

Quantity and source quality of the evidence behind the score.

0 evidence item(s) contribute. Calculated -.

Overview

Teach courses in forestry and conservation science. Includes both teachers primarily engaged in teaching and those who do a combination of teaching and research.

Employment

-

approx. BLS OES

Median wage

-

approx. BLS OES

Tasks tracked

21

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.

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 (25) with Forestry and Conservation Science Teachers, Postsecondary.

faq

Frequently Asked Questions

Common questions regarding Forestry and Conservation Science Teachers, Postsecondary and AI exposure.

Will AI replace Forestry and Conservation Science Teachers, Postsecondary?

Current AI models show an exposure score of 50/100 for Forestry and Conservation Science Teachers, Postsecondary. 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 Forestry and Conservation Science Teachers, Postsecondary have the highest AI exposure?

The most exposed tasks for Forestry and Conservation Science Teachers, Postsecondary include "Prepare course materials, such as syllabi, homework assignments, and handouts." (50% exposure) and "Prepare and deliver lectures to undergraduate or graduate students on topics, such as forest resource policy, forest pa…" (50% exposure).

What aspects of Forestry and Conservation Science Teachers, Postsecondary can AI not do yet?

Tasks with the lowest AI exposure for Forestry and Conservation Science Teachers, Postsecondary include "Provide information to the public by leading workshops and training programs and by developing educational materials." (50% exposure) and "Review papers for colleagues and scientific journals." (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.