51
/100

SOC 19-4071

Forest and Conservation Technicians

ElevatedFrey/Osborne: 42.0%

Risk Score

โš ๏ธ

51/100

Elevated

US Employment

๐Ÿ‘ฅ

31,080

Total workers

Median Wage

๐Ÿ’ฐ

$54K

$36K โ€“ $81K

Projected Growth

๐Ÿ“ˆ

-3.2%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

60/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Forest and Conservation Technicians face a risk score of 51/100 โ€” 7 points above the national average of 44. With 60/100 GenAI exposure, this occupation faces significant pressure from AI tools despite weak projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $54K ($8K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 51/100, Forest and Conservation Technicians faces moderate automation pressure. While tasks like ai-accelerated data analysis and pattern recognition are increasingly handled by AI, the role retains significant human elements. The 31,080 workers in this occupation should focus on strengthening skills in ethical oversight of research involving human subjects and designing novel experiments and research methodologies to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Forest and Conservation Technicians?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

AI-accelerated data analysis and pattern recognition

2

Automated laboratory instrumentation and workflows

3

AI literature review and meta-analysis automation

4

Machine learning models replacing manual hypothesis testing

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Ethical oversight of research involving human subjects

โœ“

Designing novel experiments and research methodologies

โœ“

Interpreting ambiguous results with domain expertise

โœ“

Fieldwork in unstructured natural environments

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Thin and space trees and control weeds and undergrowth, using manual tools and chemicals, or supervise workers performing these tasks.

โ€ข

Train and lead forest and conservation workers in seasonal activities, such as planting tree seedlings, putting out forest fires, and maintaining recreational facilities.

โ€ข

Provide information about, and enforce, regulations, such as those concerning environmental protection, resource utilization, fire safety, and accident prevention.

โ€ข

Patrol park or forest areas to protect resources and prevent damage.

โ€ข

Map forest tract data using digital mapping systems.

๐Ÿ’ป Technology Skills

โ€ข

Map creation software

โ€ข

Data base user interface and query software

โ€ข

Analytical or scientific software

โ€ข

Inventory management software

โ€ข

Computer aided design CAD software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Public Safety and Security

โ€ข

English Language

โ€ข

Customer and Personal Service

โ€ข

Law and Government

โ€ข

Administration and Management

๐Ÿ“Š vs National Average

Median Wage$54K
+$8K

National avg: $46K

Risk Score51/100
+7

National avg: 44/100

GenAI Exposure60/100
+22

National avg: 38/100

Projected Growth-3.2%
-6.9%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Social Scientists and Related Workers21$93K75%
Political Scientists25$139K82%
Occupational Health and Safety Specialists and Technicians26$79K80%