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.
- Apply principles of specialized fields of science, such as agronomy, soil science, forestry, or agriculture, to achieve conservation objectives.75
- Compute design specifications for implementation of conservation practices, using survey or field information, technical guides or engineering manuals.75
- Respond to complaints or questions on wetland jurisdiction, providing information or clarification.75
- Compile or interpret biodata to determine extent or type of wetlands or to aid in program formulation.74
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.
- Monitor projects during or after construction to ensure projects conform to design specifications.01
- Apply principles of specialized fields of science, such as agronomy, soil science, forestry, or agriculture, to achieve conservation objectives.02
- Plan soil management or conservation practices, such as crop rotation, reforestation, permanent vegetation, contour plowing, or terracing, to maintain soil or conserve water.03
- Advise land users, such as farmers or ranchers, on plans, problems, or alternative conservation solutions.04
- Gather information from geographic information systems (GIS) databases or applications to formulate land use recommendations.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Environmental Restoration Planners
Closely related work
Compare these careers →Range Managers
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Compare these careers →Environmental Scientists and Specialists, Including Health
Closely related work
Compare these careers →Soil and Plant Scientists
Closely related work
Compare these careers →Water Resource Specialists
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.
