19-4044.00
Hydrologic Technicians
Collect and organize data concerning the distribution and circulation of ground and surface water, and data on its physical, chemical, and biological properties. Measure and report on flow rates and ground water levels, maintain field equipment, collect water samples, install and collect sampling equipment, and process samples for shipment to testing laboratories. May collect data on behalf of hydrologists, engineers, developers, government agencies, or agriculture.
AI will partially reshape this role
Safer than 56% of occupations we track
Disruption Vector
Hybrid Threat
Both AI software and physical automation threaten different aspects of this role, creating a compound risk from multiple directions.
AI-assisted hydrological modeling platforms and remote sensing analytics automate stream gauge data processing, flood frequency analysis, and groundwater trend identification that hydrologic technicians have done manually. Field instrument deployment and maintenance, water sample collection for quality testing, and managing field data quality in real-world conditions still require physical presence. This role faces moderate pressure through 2027 as automation handles data processing, but field collection and instrument maintenance remain human tasks; USGS and state agency demand should stay stable.
Salary & Job Outlook
AI Risk Timeline
Projection model: Based on current AI capability growth rates. High-risk occupations are projected to see compounding automation pressure, while human-centric roles show slower risk accumulation. These are statistical projections, not guarantees.
Skills Analysis — AI Vulnerability
Career Pivot Paths
If you're a Hydrologic Technicians, consider pivoting toward these lower-risk roles:
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You're safer than a Dispatchers, Except Police, Fire, and Ambulance but riskier than a Animal Scientists.
This analysis is for informational purposes only and is based on statistical models and academic research. It does not constitute career advice and is not a guarantee of future employment outcomes. AI impact varies significantly by employer, region, and individual circumstances. Learn about our methodology →