Table of Contents
Conservation Scientists
Conservation Scientists
The 43% 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 manage, improve, and protect natural resources to maximize their use without damaging the environment. may conduct soil surveys and develop plans to eliminate soil erosion or to protect rangelands. may instruct farmers, agricultural production managers, or ranchers in best ways to use crop rotation, contour plowing, or terracing to conserve soil and water; in the number and kind of livestock and forage plants best suited to particular ranges; and in range and farm improvements, such as fencing and reservoirs for stock watering. Your job is considered Low Risk for AI automation.
Below is your job's AI vulnerability profile with 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. Plus, explore the technology section to see what tools and software you'll likely encounter in this role.
You're already ahead of the curve by checking your risk and exploring your options. This project goes beyond one role, we’re building a global job warning system to help everyone stay ahead of AI. By supporting our research, you’ll unlock your full job profile, including detailed risk breakdowns, trend alerts, and priority access to new research. Supporting our research not only gives you deeper insights into your own role, it helps us keep this project alive for millions of others navigating the future of work, but don't worry, if you are not ready to support us, we provide enough free insights to get you started.
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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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.
Implementing management techniques involves practical application and adaptation to specific conditions, requiring human expertise.
Advising land users requires interpersonal skills and the ability to tailor solutions to individual needs, which are challenging for AI to replicate.
Monitoring projects involves ensuring compliance with specifications, a task where AI can assist but human oversight is crucial for nuanced judgment.
Visiting and assessing erosion problems requires human observation and problem-solving skills, which are difficult for AI to replicate.
Developing relationships involves interpersonal skills and emotional intelligence, which are challenging for AI to automate.
Applying scientific principles to conservation requires expertise and adaptability, areas where AI can assist but not fully automate.
Gathering information from GIS databases is a structured task that AI can assist with, but human interpretation is needed for context.
Computing design specifications involves technical knowledge and adaptability, areas where AI can assist but not fully automate.
Participating in work teams requires collaboration and strategic planning, which involve human interaction and decision-making.
Knowledge
Theoretical knowledge and understanding required for your position. Knowledge areas are evaluated for AI replacement likelihood and factor into your risk score.
Administration and Management
3.04RiskAdministration and Management involve repetitive, data-driven tasks (e.g., scheduling, reporting, workflow automation) that AI can handle efficiently, while strategic decision-making remains partially human-centric.
Administrative
2.83RiskAdministrative tasks involve repetitive, rule-based processes that AI can automate efficiently with RPA and NLP.
Economics and Accounting
2.39RiskEconomics and Accounting involve repetitive data analysis, forecasting, and bookkeeping tasks that AI can automate efficiently, though some judgment-based aspects may require human oversight.
Sales and Marketing
2.43RiskSales and Marketing involve repetitive tasks (e.g., data analysis, email automation) that AI can handle, but require human judgment for relationship-building, creative strategy, and complex negotiations.
Customer and Personal Service
3.57RiskThis domain includes both routine customer service tasks (automatable) and personal interaction needs (less automatable), with AI likely to handle 60% of potential automation in the next five years.
Personnel and Human Resources
2.55RiskPersonnel and Human Resources involves repetitive tasks like payroll, scheduling, and resume screening that AI can automate efficiently, with growing capabilities in data analysis and process optimization.
Production and Processing
2.35RiskProduction and Processing involve repetitive, structured tasks that AI can automate efficiently, such as quality control, data analysis, and workflow management.
Food Production
2.77RiskFood Production involves repetitive tasks like harvesting, sorting, and packaging, which AI can automate with robotics and computer vision, though complex decision-making in agriculture remains partially human-dependent.
Computers and Electronics
3.39RiskThe domain involves repetitive manufacturing, testing, and customer support tasks that AI can automate, with growing capabilities in complex design and analysis tasks.
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.
Reading Comprehension
3.88Active Listening
3.88Writing
3.5Speaking
3.62Mathematics
3.12Critical Thinking
3.5Active Learning
3.25Learning Strategies
2.88Abilities
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.
Oral Comprehension
4.12RiskOral comprehension involves nuanced understanding of speech, context, and tone, which AI is advancing but not yet fully automated in complex real-world scenarios.
Written Comprehension
4RiskWritten comprehension involves tasks like text analysis, summarization, and question-answering, which AI already excels at through advanced NLP models. These capabilities are likely to be fully automated within 5 years.
Oral Expression
3.88RiskOral Expression involves complex, context-dependent communication that requires nuance, adaptability, and real-time interaction, which current AI systems struggle to fully replicate, though some aspects like script generation may be automated.
Written Expression
3.62RiskWritten Expression involves nuanced understanding, creativity, and context, which AI can partially replicate but not fully, limiting automation potential in complex or original tasks.
Fluency of Ideas
3.25Fluency of Ideas involves complex, context-dependent creativity and adaptability that current AI lacks, even with advancements in generative models.
Originality
3.25Originality requires creative insight and novel synthesis of ideas, which AI currently lacks, though it may generate novel content based on patterns rather than true originality.
Problem Sensitivity
3.75Problem Sensitivity requires nuanced judgment, contextual understanding, and adaptability, which current AI systems lack. While AI can analyze data, true problem sensitivity involves human intuition, ethics, and creativity.
Deductive Reasoning
3.75RiskAI excels in structured deductive tasks but may struggle with complex, context-dependent reasoning requiring human intuition.
Inductive Reasoning
3.5RiskInductive reasoning involves pattern recognition and generalization, which AI already excels at through machine learning, with further advancements likely to enhance this capability in the next five years.
Technology Used
Tools, software, and technological systems you use in your work.
Expert Insights
Expert comments on the job, click on the expert to see their answers.
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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 Conservation Scientists has a 43% 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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