AI Stole My Job

Will AI replace Water Resource Specialists?

Estimated risk score: 50 out of 100

Moderate replacement risk

Estimate from published task research, not reviewed by a person · how we estimate

Within about 19 points for 4 in 5 of the jobs we checked (31 to 69).

For the occupation as a whole, from ratings of its 21 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.

O*NET-SOC 11-9121.02 · Management

Tasks rated in 2023 as ones AI could do or speed up

Tasks a GPT-4-class model could do, or do in half the time or less: 2 of its 21 rated tasks. In O*NET’s words.

  1. Write proposals, project reports, informational brochures, or other documents on wastewater purification, water supply and demand, or other water resource subjects.
  2. Compile water resource data, using geographic information systems (GIS) or global position systems (GPS) software.

Tasks rated in 2023 as not sped up by AI

Tasks such a model was rated as not speeding up or taking over: 1 of its 21 rated tasks. In O*NET’s words.

  1. Supervise teams of workers who capture water from wells and rivers.

What the job is

Design or implement programs and strategies related to water resource issues such as supply, quality, and regulatory compliance issues.

Also called: Water Resources Planner, Hydrotechnician, Water Resource Agent, Power Supply Engineer, Water Rights Specialist, Hydrotechnical Specialist, Water Resource Consultant, Water Restoration Technician.

Closest jobs we score by hand

In the same field (Management). Different jobs, each scored by a person.

Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate