Will AI replace Water Resource Specialists?
AI reaches a large part of this job’s work.
43/100
High exposure
More exposed to AI than 70% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 71% of the work
What the job involves
Design or implement programs and strategies related to water resource issues such as supply, quality, and regulatory compliance issues.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(15)
- Analyze storm water systems to identify opportunities for water resource improvements.
- Develop strategies for watershed operations to meet water supply and conservation goals or to ensure regulatory compliance with clean water laws or regulations.
- Present water resource proposals to government, public interest groups, or community groups.
- Conduct technical studies for water resources on topics such as pollutants and water treatment options.
- Write proposals, project reports, informational brochures, or other documents on wastewater purification, water supply and demand, or other water resource subjects.
and 10 more
Out of reach(6)
- Perform hydrologic, hydraulic, or water quality modeling.
- Conduct, or oversee the conduct of, investigations on matters such as water storage, wastewater discharge, pollutants, permits, or other compliance and regulatory issues.
- Review or evaluate designs for water detention facilities, storm drains, flood control facilities, or other hydraulic structures.
- Conduct, or oversee the conduct of, chemical, physical, and biological water quality monitoring or sampling to ensure compliance with water quality standards.
- Monitor water use, demand, or quality in a particular geographic area.
and 1 more
Also called
Water Resource Specialist · Water Resources Planner · Community Resource Consultant · Environmental Resource Specialist · Hydrotechnical Specialist · Hydrotechnician · Power Supply Engineer · Resource Specialist
Related jobs
- Environmental Engineers51/100
- Water/Wastewater Engineers49/100
- Industrial Ecologists72/100
- Conservation Scientists53/100
- Hydrologists52/100
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics