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Geoscientists, Except Hydrologists and Geographers
Geoscientists, Except Hydrologists and Geographers
The 48% 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 study the composition, structure, and other physical aspects of the earth. may use geological, physics, and mathematics knowledge in exploration for oil, gas, minerals, or underground water; or in waste disposal, land reclamation, or other environmental problems. may study the earth's internal composition, atmospheres, and oceans, and its magnetic, electrical, and gravitational forces. includes mineralogists, paleontologists, stratigraphers, geodesists, and seismologists. 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.
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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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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.
Interpreting geological information involves data analysis, which AI can assist with, though human expertise is needed for contextual understanding.
Designing research studies involves creativity and understanding scientific methodologies, requiring human expertise and judgment.
Investigating Earth's crust composition involves understanding complex geological processes, requiring human expertise and creativity.
Preparing geological maps and diagrams can be partially automated with AI tools that process fieldwork and lab data, but human expertise is needed for interpretation and decision-making.
Locating natural resources using geospatial data can be aided by AI, but human judgment is crucial for interpreting complex geological data and making accurate estimations.
Assessing water movement involves environmental measurement, which requires human expertise to interpret data and provide context-specific advice, limiting full automation.
Conducting geological studies for development projects requires human insight into regional specifics and stakeholder needs, making it less automatable.
Advising on construction and resource management involves complex human interactions and understanding of nuanced environmental factors, which AI cannot fully replicate.
Teaching geological science requires human interaction, adaptability, and engagement with students, making it difficult for AI to 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
2.77RiskAdministration 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
2.42RiskAdministrative tasks involve repetitive, rule-based processes that AI can automate efficiently with RPA and NLP.
Economics and Accounting
2.29RiskEconomics and Accounting involve repetitive data analysis, forecasting, and bookkeeping tasks that AI can automate efficiently, though some judgment-based aspects may require human oversight.
Customer and Personal Service
2.42RiskThis 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
2.26RiskPersonnel 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.
Computers and Electronics
3.57RiskThe domain involves repetitive manufacturing, testing, and customer support tasks that AI can automate, with growing capabilities in complex design and analysis tasks.
Engineering and Technology
3.23RiskEngineering and Technology involve repetitive, data-driven tasks (e.g., coding, simulations, diagnostics) that AI can automate efficiently, with growing capabilities in complex problem-solving and system design.
Design
2.16RiskDesign involves both repetitive tasks (e.g., layout generation) and creative judgment (e.g., aesthetic decisions), so AI can automate some aspects but not all, with human oversight likely required for complex, context-dependent work.
Mechanical
2.19RiskMechanical tasks involve both routine (e.g., simulation, design) and complex (e.g., physical intuition, creative problem-solving) elements, with AI capable of automating data-driven aspects but limited in handling novel, non-repetitive challenges.
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
4.12Active Listening
3.88Writing
3.88Speaking
4Mathematics
3.38Critical Thinking
4Active Learning
3.25Learning Strategies
3.12Abilities
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
4.12RiskWritten 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
3.38Fluency of Ideas involves complex, context-dependent creativity and adaptability that current AI lacks, even with advancements in generative models.
Originality
3.12Originality 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
4Problem 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
4.12RiskInductive 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 Geoscientists, Except Hydrologists and Geographers has a 48% 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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