Geological and hydrologic technicians

AI Overlap Index
51.9 / 100
Partially Exposed

Clear pressure on routine tasks. Composition of the role will shift within the decade.

SOC · Life Physical And Social Science

Bureau of Labor Statistics
Median pay
$50,510/yr
Hourly
$24/hr
Jobs 2024
12,900
Projected 2034
13,000
10-yr outlook
+1% · Slower than average
Employment change
100
Entry education
Associate's degree
SOC code

Signal composition

how the 0-100 score is assembled

Task Automation Impact weight 60%
53.2
contribution to AOI: 31.9
Automation Potential weight 10%
50.0
contribution to AOI: 5.0
Market Pressure weight 15%
55.0
contribution to AOI: 8.2
Entry Barrier Erosion weight 15%
45.0
contribution to AOI: 6.8

By seniority

multiplicative adjustment from category curve

Entry
61.2
mult 1.18x
Mid
51.9
mult 1.00x
Senior
41.5
mult 0.80x

Entry-level roles carry the brunt because they concentrate the most automatable subset of tasks. Senior work is insulated by judgment, relationships, and accountability.

Task-level analysis

scored 0-100 for current-generation AI feasibility, weighted by BLS-stated importance

9 tasks · model: claude-sonnet-4-5-20250929
Important t7

Record data from tests and compile information from reports and databases

Data recording, compilation, and database management are highly structured tasks that AI handles exceptionally well. Modern systems can automatically log test results, extract information from reports, integrate multiple data sources, and maintain databases with minimal human intervention beyond validation.

BLS evidence: A listed duty is 'Record data from tests and compile information from reports, databases, and other sources.'

88
automation
Important t6

Analyze samples using microscopes computers and laboratory equipment

AI-powered image recognition can analyze microscope imagery for mineral identification, grain size, and structural features. Automated laboratory equipment with AI interpretation can process most routine sample analysis, though complex or ambiguous samples require expert human verification.

BLS evidence: The page notes 'In laboratories, these technicians use microscopes, computers, and other equipment to analyze samples for problem-solving and other purposes.'

75
automation
Core t4

Prepare reports and maps to identify geological characteristics of areas

AI excels at generating reports and maps from structured geological data, using GIS systems, pattern recognition in geological features, and automated visualization. Modern AI can synthesize data into coherent geological characterizations with human review for technical accuracy and strategic interpretation.

BLS evidence: Duties include 'Prepare reports and maps to identify geological characteristics of areas that may have valuable natural resources.'

72
automation
Important t8

Monitor productivity of existing exploration and extraction sites

AI can monitor production metrics, sensor data, and extraction rates continuously, flagging anomalies and trends. Automated systems can track productivity indicators and generate alerts, though human judgment remains important for interpreting complex operational issues and making intervention decisions.

BLS evidence: The page states 'Geological technicians help with tasks such as exploring and developing prospective sites or monitoring the productivity of existing ones.'

70
automation
Core t2

Conduct scientific tests on samples to determine their content and characteristics

AI can automate many standardized scientific tests (spectroscopy, chromatography analysis, chemical assays) with lab automation systems and interpret results against known parameters. Human oversight needed for unusual findings and quality control, but most routine testing is highly automatable.

BLS evidence: Listed as a primary duty: 'Conduct scientific tests on samples to determine their content and characteristics.'

68
automation
Important t9

Assist with water rights projects and hydrologic assessments

AI can assist with hydrologic modeling, data analysis, and preliminary assessments, but water rights projects involve legal complexities, stakeholder negotiations, and site-specific environmental factors requiring substantial human expertise. AI augments analysis but humans drive the assessment process.

BLS evidence: For hydrologic technicians specifically: 'Hydrologic technicians assist with a variety of projects, such as providing information for negotiating water rights.'

58
automation
Important t5

Use seismic instruments and depth sensors to gather data in the field

Requires physical deployment of seismic instruments and depth sensors in field conditions, managing cables and equipment across varied terrain, and real-time troubleshooting of sensor placement and data quality issues that demand on-site human judgment and dexterity.

BLS evidence: The page states 'In the field, geological and hydrologic technicians use equipment, such as seismic instruments and depth sensors, to gather data.'

22
automation
Important t3

Install and maintain laboratory and field equipment

Installation and maintenance require physical manipulation of specialized equipment in both controlled lab and unpredictable field settings, troubleshooting mechanical issues, and adapting to site-specific constraints that current robotics cannot handle reliably.

BLS evidence: First duty listed is 'Install and maintain laboratory and field equipment.'

18
automation
Core t1

Gather samples in the field such as mud and water

Requires physical presence in unpredictable field environments with variable terrain, weather, and access conditions. Current robotics cannot reliably navigate diverse geological sites and perform adaptive sample collection across mud, water, rock, and soil contexts.

BLS evidence: The duties section explicitly states technicians 'Gather samples in the field, such as mud and water, and prepare them for analysis in the laboratory.'

12
automation

Task heatmap

automation score by task, sorted by weighted contribution

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External signals and sources

category-level priors and BLS fields that feed the four non-task signals

Automation Potential
50
karpathy 5/10
  • Karpathy/BLS Digital AI Exposure (0-10 scale rescaled to 0-100)
Market Pressure
55
outlook: Slower than average
  • BLS projected outlook: Slower than average (1%)
  • Indeed demand signal (monthly refresh pending)
Entry Barrier Erosion
45
ed: Associate's degree
  • BLS typical entry-level education: Associate's degree
  • Credential trend signal (annual refresh)

Related in Life Physical And Social Science

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