AI exposure by occupation, O*NET 11-9121.02

Will AI replace Water Resource Specialists?

Water Resource Specialists: AI can already handle 5 of 21 tasks; the work mostly needs a frontier-tier model.

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Every task, scored

The 21 tasks O*NET 30.3 lists for Water Resource Specialists, from most to least exposed. 5 reach 60 or more, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Compile and maintain documentation on the health of a body of water. 80 Estimated Efficient 3.4
Compile water resource data, using geographic information systems (GIS) or global position systems (GPS) software. 80 Estimated Efficient 3.4
Review or evaluate designs for water detention facilities, storm drains, flood control facilities, or other hydraulic structures. 65 Estimated Standard 3.8
Develop or implement standardized water monitoring and assessment methods. 65 Estimated Frontier 3.1
Recommend new or revised policies, procedures, or regulations to support water resource or conservation goals. 60 Estimated Frontier 3.3
Develop strategies for watershed operations to meet water supply and conservation goals or to ensure regulatory compliance with clean water laws or regulations. 50 Estimated Frontier 3.8
Develop plans to protect watershed health or rehabilitate watersheds. 50 Estimated Frontier 3.7
Provide technical expertise to assist communities in the development or implementation of storm water monitoring or other water programs. 50 Estimated Frontier 3.5
Negotiate for water rights with communities or water facilities to meet water supply demands. 35 Estimated Standard 3.0
Perform hydrologic, hydraulic, or water quality modeling. 30 Estimated Efficient 4.4
Analyze storm water systems to identify opportunities for water resource improvements. 30 Estimated Efficient 4.1
Conduct, or oversee the conduct of, investigations on matters such as water storage, wastewater discharge, pollutants, permits, or other compliance and regulatory issues. 30 Estimated Efficient 3.9
Conduct technical studies for water resources on topics such as pollutants and water treatment options. 30 Estimated Efficient 3.8
Present water resource proposals to government, public interest groups, or community groups. 30 Estimated Efficient 3.7
Write proposals, project reports, informational brochures, or other documents on wastewater purification, water supply and demand, or other water resource subjects. 30 Estimated Efficient 3.6
Conduct cost-benefit studies for watershed improvement projects or water management alternatives. 30 Estimated Efficient 3.6
Identify and characterize specific causes or sources of water pollution. 30 Estimated Efficient 3.4
Conduct, or oversee the conduct of, chemical, physical, and biological water quality monitoring or sampling to ensure compliance with water quality standards. 30 Estimated Efficient 3.4
Supervise teams of workers who capture water from wells and rivers. 30 Estimated Standard 3.0
Monitor water use, demand, or quality in a particular geographic area. 30 Estimated Standard 3.0
Identify methods for distributing purified wastewater into rivers, streams, or oceans. 30 Estimated Efficient 2.9

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 21 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 21 of 21. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.

The model tier this role needs

A frontier-tier model or lower covers 100% of the role's importance-weighted task work. 100% of the work is something AI can address at some tier.

Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.

Wages, employment and outlook

US employment
108,690
Median annual wage
$167,220
Middle half of earners
$119,430 to $221,540
Projected change, 2024 to 2034
+3.7%

Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034. BLS publishes these figures by SOC code, so O*NET occupations that share a SOC code show the same figures.

Adjacent roles

The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.

Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.

Questions about Water Resource Specialists and AI

Will AI replace Water Resource Specialists?

AI already handles 5 of the 21 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 42 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +3.7% from 2024 to 2034.

What is the AI exposure of Water Resource Specialists?

42 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 21 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 21 are estimated from each task's O*NET work activity.

Which Water Resource Specialists tasks can AI already do?

The tasks with the highest exposure are: Compile and maintain documentation on the health of a body of water; Compile water resource data, using geographic information systems (GIS) or global position systems (GPS) software; Review or evaluate designs for water detention facilities, storm drains, flood control facilities, or other hydraulic structures. They are three of the 5 tasks that reach 60 or more.

What AI model tier does this role need?

A frontier-tier model or lower covers 100% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.

How many people work as Water Resource Specialists, and what do they earn?

108,690 people in the United States, with a median annual wage of $167,220 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +3.7% from 2024 to 2034.

How to cite

Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.

JobRoute (2026). AI exposure: Water Resource Specialists. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/water-resource-specialists

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