How much of this occupation’s work can be materially affected by current AI systems.
How likely exposure is to translate into reduced human demand.
Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured
Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.
What is driving the score?
Occupation scores are built from the task mix—not a single prediction about a job title.
Where AI can do more
Routine, digitized, and highly repeatable tasks face the greatest pressure.
- Study public water supply issues, including flood and drought risks, water quality, wastewater, and impacts on wetland habitats.77
- Prepare hydrogeologic evaluations of known or suspected hazardous waste sites and land treatment and feedlot facilities.77
- Measure and graph phenomena such as lake levels, stream flows, and changes in water volumes.76
- Prepare written and oral reports describing research results, using illustrations, maps, appendices, and other information.76
Where people still matter
These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.
- Install, maintain, and calibrate instruments such as those that monitor water levels, rainfall, and sediments.01
- Monitor the work of well contractors, exploratory borers, and engineers and enforce rules regarding their activities.02
- Collect and analyze water samples as part of field investigations or to validate data from automatic monitors.03
- Coordinate and supervise the work of professional and technical staff, including research assistants, technologists, and technicians.04
- Measure and graph phenomena such as lake levels, stream flows, and changes in water volumes.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Geoscientists, Except Hydrologists and Geographers
Closely related work
Compare these careers →Industrial Ecologists
Closely related work
Compare these careers →Water Resource Specialists
Closely related work
Compare these careers →Conservation Scientists
Closely related work
Compare these careers →Water/Wastewater Engineers
Related work
Compare these careers →Environmental Scientists and Specialists, Including Health
Related work
Compare these careers →Adoption and labour-market outlook
Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.
O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.
