π‘ Hydrologists have a composite risk score of 33/100 (Frey-Osborne probability: 1%, GenAI exposure: 76/100). With 5,720 workers in the US, this occupation faces moderate but manageable AI pressure. Full occupation profile β
π― The Verdict
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
With 5,720 workers and a median wage of $92K,hydrologists represent a significant portion of the US workforce. Their GenAI exposure index is 76%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
33/100
Employment
5,720
Median Wage
$92K
GenAI Exposure
76%
β οΈ Top Risk Factors
AI-powered research and literature review tools
Automated data interpretation and insight generation
Chatbot displacement of customer-facing interactions
π‘οΈ Tasks AI Can't Easily Replace
Collaborative scientific discourse and peer review
Fieldwork in unstructured natural environments
Interpreting ambiguous results with domain expertise
Designing novel experiments and research methodologies
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Dentists, All Other Specialists
65% skills overlap Β· $226K median wage
Social Scientists and Related Workers
84% skills overlap Β· $93K median wage
Political Scientists
76% skills overlap Β· $139K median wage
β Frequently Asked Questions
Will AI completely replace hydrologists?
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
What is the AI risk score for hydrologists?
Hydrologists have a composite AI automation risk score of 33 out of 100, classified as "Moderate".
How many hydrologists are there in the US?
There are approximately 5,720 hydrologists employed in the United States.
What do hydrologists earn?
The median annual wage for hydrologists is $92K.
What skills should hydrologists develop?
Focus on tasks AI can't easily replicate: collaborative scientific discourse and peer review, fieldwork in unstructured natural environments, interpreting ambiguous results with domain expertise, designing novel experiments and research methodologies. These human-centric skills will become more valuable as routine tasks are automated.