Science · SOC 19-4044
AI can handle data analysis and water quality modeling, but field measurement and infrastructure assessment require on-site human expertise.
Parts of the job are exposed, but judgment and context still matter.
Timeline: Hydrological modeling software and AI will take on more analytical work within 5 years, but the field-based and infrastructure-assessment components of this role preserve long-term human relevance.
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$93,330 median pay
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$93,330 median pay
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AI job-risk card
Hydrologic Technicians is watch on AIFear. Parts of the job are exposed, but judgment and context still matter.
AIFear.com
Our AI Fear Score for Hydrologic Technicians is 48/100 (Watch). Parts of the job are exposed, but judgment and context still matter.
48 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: Analyzing ecological and pollution impact data, Applying research findings to environmental modeling, Answering technical questions via automated knowledge systems, Assisting in well-sealing program documentation. Harder to automate: Estimating costs and benefits of infrastructure projects, Conducting physical field measurements, Inspecting and monitoring water systems on-site, Collaborating with engineers on facility design.
Lean into Hydrology and water resource modeling, GIS for water systems, Environmental impact assessment, Field instrumentation and monitoring, Regulatory compliance for water quality. Consider roles such as Water resource manager or Environmental engineer or Watershed restoration specialist.
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.