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Geological Technicians, Except Hydrologic Technicians
The 59% 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 assist scientists or engineers in the use of electronic, sonic, or nuclear measuring instruments in laboratory, exploration, and production activities to obtain data indicating resources such as metallic ore, minerals, gas, coal, or petroleum. analyze mud and drill cuttings. chart pressure, temperature, and other characteristics of wells or bore holes. Your job is considered Mid 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 Geological Technicians, Except Hydrologic 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 Geological Technicians, Except Hydrologic 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.
Testing and analyzing samples can be automated to some extent, but interpretation and understanding of context require human expertise.
Collecting and preparing samples can be partially automated with robotic systems, but human oversight is often needed to ensure accuracy and handle unexpected conditions.
Compiling and recording data is highly automatable as it involves structured data entry, which AI can handle efficiently.
Preparing geological maps requires interpretation and creativity, which AI can assist with but not fully automate.
Participating in field surveys involves physical presence and adaptability to changing conditions, making it less automatable.
Recording data is a structured task that AI can automate, though human review is often necessary for accuracy.
Maintaining equipment involves routine tasks that AI can assist with, but complex repairs still require human expertise.
Reading and compiling data from reports is a structured task that AI can automate, though human interpretation is sometimes needed.
Collecting information through interviews involves interpersonal skills and adaptability, making it less suitable for full automation.
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?
Your job faces a moderate automation threat. A few timely moves can put you back in the safe zone. Choose your strategy below:
Recommended for Mid Risk:
- • Upskill: Develop skills that complement AI rather than compete with it
- • Use AI: Master AI tools to increase your efficiency and value
- • Pivot Smart: Consider transitioning to roles that require human judgment and creativity
- • Stay Alert: Get notified of industry changes that could affect your role
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 59% AI risk score, which is considered mid risk. While some tasks in this role may be automated, the profession as a whole is moderately vulnerable 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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