Rankings β Will AI Replaceβ¦
Will AI Replace Hydrologic Technicians?
π‘ Hydrologic Technicians have a composite risk score of 65/100 (Frey-Osborne probability: 91%, GenAI exposure: 74/100). With 2,940 workers in the US, this is one of the most AI-vulnerable occupations. Full occupation profile β
π― The Verdict
Likely for many tasks. The role will look very different in 5β10 years.
With 2,940 workers and a median wage of $59K,hydrologic technicians represent a significant portion of the US workforce. Their GenAI exposure index is 74%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
65/100
Employment
2,940
Median Wage
$59K
GenAI Exposure
74%
β οΈ Top Risk Factors
Automated laboratory instrumentation and workflows
Robotic sample preparation and experimentation
AI coding assistants reducing developer demand
AI-accelerated data analysis and pattern recognition
π‘οΈ Tasks AI Can't Easily Replace
Interpreting ambiguous results with domain expertise
Collaborative scientific discourse and peer review
Ethical oversight of research involving human subjects
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Social Scientists and Related Workers
73% skills overlap Β· $93K median wage
Political Scientists
80% skills overlap Β· $139K median wage
Occupational Health and Safety Specialists and Technicians
78% skills overlap Β· $79K median wage
β Frequently Asked Questions
Will AI completely replace hydrologic technicians?
Likely for many tasks. The role will look very different in 5β10 years.
What is the AI risk score for hydrologic technicians?
Hydrologic Technicians have a composite AI automation risk score of 65 out of 100, classified as "High Risk".
How many hydrologic technicians are there in the US?
There are approximately 2,940 hydrologic technicians employed in the United States.
What do hydrologic technicians earn?
The median annual wage for hydrologic technicians is $59K.
What skills should hydrologic technicians develop?
Focus on tasks AI can't easily replicate: interpreting ambiguous results with domain expertise, collaborative scientific discourse and peer review, ethical oversight of research involving human subjects. These human-centric skills will become more valuable as routine tasks are automated.