Science · SOC 19-4043
Report compilation is increasingly AI-assisted, but field data collection and equipment operation require physical presence.
A large share of tasks is exposed; the role will change a lot.
Timeline: AI will accelerate geological data analysis and map generation in the coming years, but field-based data collection in remote or hazardous environments ensures technicians remain indispensable.
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AI job-risk card
Geological Technicians, Except Hydrologic Technicians is at risk on AIFear. A large share of tasks is exposed; the role will change a lot.
AIFear.com
Our AI Fear Score for Geological Technicians, Except Hydrologic Technicians is 55/100 (At risk). A large share of tasks is exposed; the role will change a lot.
55 out of 100, based on an AI-model review of this occupation's O*NET tasks against what current AI can actually do.
Most exposed: Compiling and logging test and operational data, Preparing geological maps and cross-sections, Testing and analyzing geological samples, Preparing technical reports and recommendations. Harder to automate: Operating geological survey and drilling equipment, Collecting samples in the field during expeditions, Adjusting and repairing specialized instruments, Participating in underwater and underground surveys.
Lean into Geological data interpretation, GIS and remote sensing for geoscience, Field survey techniques, Drilling and subsurface instrumentation, Environmental geology. Consider roles such as Geospatial analyst for energy or mining or Environmental geologist or Geological survey field supervisor.
Tasks, skills and AI-exposure for this role were reviewed by an AI model against its O*NET task profile (curated roles use published research anchors). Pay and employment, where shown, are U.S. BLS OEWS (May 2024) figures. This is an estimate, not a prediction about any individual's job. Compare all occupations.