65
/100

SOC 19-4043

Geological Technicians, Except Hydrologic Technicians

High RiskFrey/Osborne: 91.0%

Risk Score

โš ๏ธ

65/100

High Risk

US Employment

๐Ÿ‘ฅ

9,710

Total workers

Median Wage

๐Ÿ’ฐ

$48K

$33K โ€“ $92K

Projected Growth

๐Ÿ“ˆ

+1.5%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

61/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Geological Technicians, Except Hydrologic Technicians face a risk score of 65/100 โ€” 21 points above the national average of 44. With 61/100 GenAI exposure, this occupation faces significant pressure from AI tools despite strong projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $48K ($2K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 65/100, Geological Technicians, Except Hydrologic Technicians faces moderate automation pressure. While tasks like ai-powered research and literature review tools are increasingly handled by AI, the role retains significant human elements. The 9,710 workers in this occupation should focus on strengthening skills in designing novel experiments and research methodologies and interpreting ambiguous results with domain expertise to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Geological Technicians, Except Hydrologic Technicians?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

AI-powered research and literature review tools

2

AI-generated written content replacing manual drafting

3

AI-accelerated data analysis and pattern recognition

4

AI coding assistants reducing developer demand

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Designing novel experiments and research methodologies

โœ“

Interpreting ambiguous results with domain expertise

โœ“

Fieldwork in unstructured natural environments

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Test and analyze samples to determine their content and characteristics, using laboratory apparatus or testing equipment.

โ€ข

Collect or prepare solid or fluid samples for analysis.

โ€ข

Compile, log, or record testing or operational data for review and further analysis.

โ€ข

Prepare notes, sketches, geological maps, or cross-sections.

โ€ข

Participate in geological, geophysical, geochemical, hydrographic, or oceanographic surveys, prospecting field trips, exploratory drilling, well logging, or underground mine survey programs.

๐Ÿ’ป Technology Skills

โ€ข

Graphics or photo imaging software

โ€ข

Computer aided design CAD software

โ€ข

Map creation software

โ€ข

Data base user interface and query software

โ€ข

Geographic information system

๐ŸŽ“ Key Knowledge Areas

โ€ข

Computers and Electronics

โ€ข

Engineering and Technology

โ€ข

Mathematics

โ€ข

English Language

โ€ข

Chemistry

๐Ÿ“Š vs National Average

Median Wage$48K
+$2K

National avg: $46K

Risk Score65/100
+21

National avg: 44/100

GenAI Exposure61/100
+23

National avg: 38/100

Projected Growth1.5%
-2.2%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Social Scientists and Related Workers21$93K73%
Political Scientists25$139K80%
Occupational Health and Safety Specialists and Technicians26$79K78%