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Forest and Conservation Technicians
The 46% risk score reflects the overall automation risk of your profession on a scale of 0–100. The higher the score, the more likely parts of your role could be handled by AI, increasing efficiency, but also raising the possibility of job disruption. Nearly all jobs include tasks that are automatable to some degree.
In this role, you 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. Your job is considered Low Risk for AI automation.
Below is your job's AI vulnerability profile with salary trends and employment data, plus detailed breakdowns of tasks, knowledge areas, skills, and abilities. Each item includes AI risk scores and importance ratings to help you prioritize what to focus on. Remember, look for tasks that you can automate in your job to make you more productive, while focus on developing the areas that AI cannot easily automate. Plus, explore the technology section to see what tools and software you'll likely encounter in this role and therefore can look for AI alternatives.
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In the meantime explore the sections below, and don't miss the What to do next? section for practical steps you can start today.
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Salary Trends
Historical salary data for Forest and Conservation Technicians
While lower salaries may seem less attractive for automation investment, advancing AI capabilities and decreasing technology costs can still impact these roles. Focus on developing uniquely human skills to stay competitive.
*Based on US labor data
Employment Trends
Historical employment levels for Forest and Conservation Technicians
Increasing employment suggests growing demand for this role, indicating potential career stability and opportunities, but keep an eye on automation trends.
*Based on US labor data
On the job, you would
On-the-job activities and responsibilities that define your role. Each task is analyzed for automation potential and contributes to your overall AI risk assessment.
Supervising forest and conservation workers involves interpersonal skills and real-time decision-making, which are difficult for AI to automate fully.
Monitoring activities of logging companies involves data analysis that can be partially automated, but human judgment is needed for compliance and enforcement.
Thinning and spacing trees and controlling weeds require physical skills and adaptability, which are challenging for AI to automate.
Managing forest protection activities involves coordination and decision-making in dynamic environments, which are difficult for AI to replicate fully.
Preparing maps using digital systems can be automated, but human oversight is necessary for ensuring accuracy and addressing complex mapping challenges.
Providing information and enforcing regulations involves human judgment and communication skills, which are challenging for AI to automate.
Keeping records of logs can be automated with digital tools, though human verification is important for data integrity.
Supervising forest operations involves decision-making and adaptability, which are difficult for AI to replicate fully.
Issuing permits and licenses can be partially automated, but human oversight is needed for compliance and exceptions.
Knowledge
Theoretical knowledge and understanding required for your position. Knowledge areas are evaluated for AI replacement likelihood and factor into your risk score.
Skills
Practical abilities and competencies you need to perform your job effectively. Skills are assessed for automation vulnerability and help determine your AI risk level.
Abilities
Innate and learned capabilities that enable you to succeed in your role. Abilities are analyzed for AI replication potential and contribute to your overall risk assessment.
Technology Used
Tools, software, and technological systems you use in your work.
Expert Insights
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What to do next?
Great news — your role is fairly safe for now, but it's smart to stay proactive. Choose your strategy below:
Recommended for Low Risk:
- • Upskill: Focus on human-centric skills that AI can't easily replicate (creativity, emotional intelligence, strategic thinking)
- • Use AI: Learn to leverage AI tools to enhance your productivity and stay ahead of the curve
- • Stay Alert: Monitor changes in your field to maintain your competitive advantage
Each tab contains curated resources designed to help you take the next step. More resources will be added over time.
Top Learning Platforms
Coursera
Unlimited access to 2,000+ courses from top universities.
LinkedIn Learning
Short, practical videos for on-the-job upskilling.
ADPList
Free global mentorship from experienced professionals in design, product, and tech.
Skillshare
Hands-on creative workshops to build your portfolio.
Udemy
Affordable deep dives on tech, leadership & more.
Top Learning Platforms
Coursera
Unlimited access to 2,000+ courses from top universities.
LinkedIn Learning
Short, practical videos for on-the-job upskilling.
ADPList
Free global mentorship from experienced professionals in design, product, and tech.
Skillshare
Hands-on creative workshops to build your portfolio.
Udemy
Affordable deep dives on tech, leadership & more.
Frequently Asked Questions
Based on our analysis, a this role has a 46% AI risk score, which is considered low risk. While some tasks in this role may be automated, the profession as a whole is for now, relatively safe from complete replacement. The key is understanding which specific aspects of your job are most vulnerable, some of which are shown on this page.
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