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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Somewhat Resilient
Last Update: 4/23/2026
Your role’s AI Resilience Score is
36.9%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forGeological Technicians, Except Hydrologic Technicians
Geological Technicians, Except Hydrologic Technicians are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
This career is labeled as "Somewhat Resilient" because while some tasks like data analysis and mapping are increasingly being handled by AI tools, many important aspects of the job still rely on human skills. AI can make data work faster and more accurate, but creative thinking, field observations, and communicating findings remain crucial.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is somewhat resilient
This career is labeled as "Somewhat Resilient" because while some tasks like data analysis and mapping are increasingly being handled by AI tools, many important aspects of the job still rely on human skills. AI can make data work faster and more accurate, but creative thinking, field observations, and communicating findings remain crucial.
Read full analysisAnalysis of Current AI Resilience
Geological Technicians
Updated Quarterly • Last Update: 2/17/2026
How is AI changing Geological Technicians jobs?
Geological technicians’ work is only partly automated today. For example, new AI and remote-sensing tools can help make maps from survey data. A recent article noted that developing “geological Artificial Intelligence (AI)… has the potential to revolutionise geological mapping” [1], meaning tasks like plotting data from aerial photos or well logs could be done faster with software assistance.
In laboratories, smart software is also emerging. One open-access study describes an “automated machine learning” pipeline for geochemical samples that can prepare data, run analysis, and evaluate results “all without the need to program” [2]. These tools speed up testing samples and highlighting results for technicians to check.
Other tasks remain mostly human. Drawing field sketches or geological cross-sections still relies on a geologist’s skill (though digital tools and GIS software make drawing easier, they aren’t fully “AI”). Similarly, interviewing people and searching public records for information uses general tools like web search and spreadsheets, not specialized AI assistants.
In short, software is starting to handle heavy data work (mapping patterns and lab numbers) [1] [2], but human insight is still needed for field judgments, creative notes, and talking to community members.
Sources
How fast is AI adoption growing for Geological Technicians?
How fast AI spreads in this field depends on many factors. Experts point out that AI tools must fit the complex needs of geology. For example, one research team warned that using machine learning can be “still complicated” for geoscientists without user-friendly pipelines [2].
In other words, until software is easy to use, many teams may move slowly. There’s also the question of data and cost. Effective AI maps and models often need large, high-quality datasets, which take time and money to collect.
On the plus side, AI can cut costs in the long run by automating tedious work: for example, an AI tool that quickly analyzes soil samples or survey data could save hours of lab work and reduce errors.
Other considerations slow or shape adoption. Upfront costs of new equipment (like drones or sensors) and software can be high compared to current budgets. Safety and trust also matter: engineers and regulators will want to validate AI results before relying on them in risky projects.
But there are reasons to be hopeful. AI can augment (help) human technicians by doing “the heavy lifting” of data crunching, leaving experts free to interpret findings and make decisions. As one source noted, AI in this field is more about helping geologists improve mapping accuracy and repeatability than replacing them [1] [2].
Overall, AI adoption in geological technician roles is expected to be gradual. Young people entering geology can take heart: tools may change how you work, but they underline the value of human skills. Critical observation, creative thinking, and communication (especially in the field or lab) will stay important.
In time, new AI-powered software and instruments will become part of the job, making data analysis faster and safer. The human geologist’s role will likely shift more toward supervising those tools and using their outputs in smart ways. By learning to use these tools, future technicians can be even more effective and in demand.
Sources
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More Career Info
Career: Geological Technicians, Except Hydrologic Technicians
They help scientists study rocks and minerals by collecting samples, running tests, and recording data to understand Earth's materials better.
Parent Careers
Similar Careers
Employment & Wage Data
Median Wage
$48,390
Jobs (2024)
9,800
Growth (2024-34)
+1.5%
Annual Openings
1,300
Education
Associate's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Inspect engines for wear or defective parts, using equipment or measuring devices.
2
Measure geological characteristics used in prospecting for oil or gas, using measuring instruments.
3
Participate in geological, geophysical, geochemical, hydrographic, or oceanographic surveys, prospecting field trips, exploratory drilling, well logging, or underground mine survey programs.
4
Adjust or repair testing, electrical, or mechanical equipment or devices.
5
Record readings in order to compile data used in prospecting for oil or gas.
6
Set up or direct set-up of instruments used to collect geological data.
7
Plan and direct activities of workers who operate equipment to collect data.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
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