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Soil and Plant Scientists
Soil and Plant Scientists
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 conduct research in breeding, physiology, production, yield, and management of crops and agricultural plants or trees, shrubs, and nursery stock, their growth in soils, and control of pests; or study the chemical, physical, biological, and mineralogical composition of soils as they relate to plant or crop growth. may classify and map soils and investigate effects of alternative practices on soil and crop productivity. 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.
Communicating research results requires interpersonal skills and adaptability, which are difficult for AI to automate.
Advising on land management requires interpersonal skills and contextual understanding, which are challenging for AI to replicate.
Researching crop management methods involves scientific creativity and interdisciplinary knowledge, limiting AI's ability to fully automate this task.
Developing soil conservation methods involves scientific research and creativity, which AI can assist with but not fully automate.
Conducting experiments on crop varieties involves scientific inquiry and creativity, which are challenging for AI to fully automate.
Investigating soil problems involves scientific research and human judgment, but AI can assist with data analysis and modeling.
Studying soil characteristics involves scientific research and human judgment, but AI can assist with data analysis and classification.
Developing measurement techniques involves scientific creativity and interdisciplinary knowledge, which AI can assist with but not fully automate.
Conducting experiments on soil interactions involves scientific inquiry and creativity, which are challenging for AI to fully automate.
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
3.14RiskAdministration 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
2.81RiskAdministrative tasks involve repetitive, rule-based processes that AI can automate efficiently with RPA and NLP.
Economics and Accounting
2.38RiskEconomics 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
2.4RiskSales 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
3RiskThis 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
2.57RiskPersonnel 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
2.62RiskProduction and Processing involve repetitive, structured tasks that AI can automate efficiently, such as quality control, data analysis, and workflow management.
Food Production
2.95RiskFood 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
3.86RiskThe 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
4Active Listening
3.88Writing
3.88Speaking
4Mathematics
3.25Critical Thinking
4Active Learning
4Learning Strategies
3.25Abilities
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
4RiskOral 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
4RiskOral 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
4RiskWritten 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
3.5Fluency of Ideas involves complex, context-dependent creativity and adaptability that current AI lacks, even with advancements in generative models.
Originality
3.88Originality 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
3.88Problem 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
4RiskAI excels in structured deductive tasks but may struggle with complex, context-dependent reasoning requiring human intuition.
Inductive Reasoning
4RiskInductive 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 Soil and Plant Scientists 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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