Will conservation scientists be replaced by AI?
Updated
Conservation scientists score 43 of 100 for AI exposure. The largest share of their task time, 76%, is work AI speeds up while they stay in charge. AI can take over 3% outright, and 21% stays with people.
- 3% AI can do it
- 76% AI helps
- 21% Needs a person
Moderate exposure
Higher than 58% of the 923 occupations we scored.
Task by task
We graded 30 tasks, listed here from most to least exposed. AI can do 1 of them today, speeds up 23 and leaves 6 to people.
| Task | AI exposure |
|---|---|
| Enter local soil, water, or other environmental data into adaptive or Web-based decision tools to identify appropriate analyses or techniques. Entering local data into web tools is routine digital work. | 82% AI can do it |
| Compute design specifications for implementation of conservation practices, using survey or field information, technical guides or engineering manuals. Design math from guides and survey data; AI computes, engineer checks. | 62% AI helps |
| Compute cost estimates of different conservation practices, based on needs of land users, maintenance requirements, or life expectancy of practices. Cost estimates from price tables and lifespans; AI computes quickly. | 62% AI helps |
| Review annual reports of counties, conservation districts, or watershed management organizations, certifying compliance with mandated reporting requirements. Report checks against requirements are AI friendly; certification stays accountable. | 62% AI helps |
| Gather information from geographic information systems (GIS) databases or applications to formulate land use recommendations. GIS queries and summaries are AI assisted; analyst interprets results. | 60% AI helps |
| Develop water conservation or harvest plans, using weather information systems, irrigation information management systems, or other sources of daily evapotranspiration (ET) data. ET data and weather feeds analyzed quickly; planner validates plan. | 60% AI helps |
| Analyze results of investigations to determine measures needed to maintain or restore proper soil management. AI summarizes and checks analysis; scientist decides measures. | 55% AI helps |
| Review grant applications or make funding recommendations. Proposal scoring aided by AI; funding decisions remain human. | 55% AI helps |
| Plan soil management or conservation practices, such as crop rotation, reforestation, permanent vegetation, contour plowing, or terracing, to maintain soil or conserve water. AI drafts practice plans from templates; planner adapts to site. | 50% AI helps |
| Respond to complaints or questions on wetland jurisdiction, providing information or clarification. Drafts jurisdiction answers from guidance; staff confirm determinations. | 50% AI helps |
Show the other 20 tasks
| Task | AI exposure |
|---|---|
| Apply principles of specialized fields of science, such as agronomy, soil science, forestry, or agriculture, to achieve conservation objectives. Applies agronomy and soil science knowledge; expert judges site fit. | 45% AI helps |
| Provide information, knowledge, expertise, or training to government agencies at all levels to solve water or soil management problems or to assure coordination of resource protection activities. Briefings and training materials drafted quickly; expert shares knowledge. | 45% AI helps |
| Compile or interpret biodata to determine extent or type of wetlands or to aid in program formulation. Biodata interpretation aided; field verification still needed. | 45% AI helps |
| Review proposed wetland restoration easements or provide technical recommendations. Easement documents reviewed with AI; technical judgment stays human. | 45% AI helps |
| Develop soil maps. Digital mapping assisted; field verification of soil still needed. | 45% AI helps |
| Initiate, schedule, or conduct annual audits or compliance checks of program implementation by local government. Compliance checklists reviewed with AI; auditor decides findings. | 45% AI helps |
| Identify or recommend integrated weed and pest management (IPM) strategies, such as resistant plants, cultural or behavioral controls, soil amendments, insects, natural enemies, barriers, or pesticides. IPM options from knowledge base; local conditions need expert review. | 45% AI helps |
| Coordinate or implement technical, financial, or administrative assistance programs for local government units to ensure efficient program implementation or timely responses to requests for assistance. Program admin and coordination paperwork aided; coordination stays human. | 40% AI helps |
| Review or approve amendments to comprehensive local water plans or conservation district plans. Plan reviews aided by AI; approval stays with accountable officials. | 40% AI helps |
| Advise land users, such as farmers or ranchers, on plans, problems, or alternative conservation solutions. Advice conversations are human led; AI prepares options and materials. | 35% AI helps |
| Develop, conduct, or participate in surveys, studies, or investigations of various land uses to inform corrective action plans. Survey design and analysis aided; fieldwork stays human. | 35% AI helps |
| Participate on work teams to plan, develop, or implement programs or policies for improving environmental habitats, wetlands, or groundwater or soil resources. Team meetings are human; AI helps with drafts and notes. | 30% AI helps |
| Develop or conduct environmental studies, such as plant material field trials or wildlife habitat impact studies. Trial design and data aided; field studies need physical work. | 25% AI helps |
| Manage field offices or involve staff in cooperative ventures. Staff management and partnerships are people centered. | 20% AI helps |
| Monitor projects during or after construction to ensure projects conform to design specifications. Confirming built work on site needs physical inspection. | 18% Needs a person |
| Visit areas affected by erosion problems to identify causes or determine solutions. Field visits to see erosion causes need physical presence. | 12% Needs a person |
| Conduct fact-finding or mediation sessions among government units, landowners, or other agencies to resolve disputes. Live mediation between parties requires human judgment and trust. | 12% Needs a person |
| Revisit land users to view implemented land use practices or plans. Revisits require physical site visits and in person observation. | 10% Needs a person |
| Implement soil or water management techniques, such as nutrient management, erosion control, buffers, or filter strips, in accordance with conservation plans. Hands-on installation of buffers, filters, and erosion controls. | 8% Needs a person |
| Develop or maintain working relationships with local government staff or board members. Relationship building with officials is inherently interpersonal. | 8% Needs a person |
How conservation scientists compare
All occupations (923)
Life, physical and social science (60)
Pay and outlook in the US
- Median pay
- $73,010 a year, May 2025
- People employed
- 25,950 in the US, May 2025
- Projected change in jobs
- +5.3% from 2024 to 2034
Skills to build
- Enter soil and water data into ArcGIS and Web soil tools
- Compute practice designs from NRCS technical guides and survey data
- Run site visits to confirm erosion control installation on land
- Hold mediation sessions with landowners, districts, and agencies
- Review county and district reports against mandated compliance rules
- Build conservation plans and briefings in Microsoft PowerPoint and Word
Safer roles nearby
5 related occupations with lower scores.
Questions about conservation scientists and AI
Will AI replace conservation scientists?
Partly. About 4 in 10 working hours for a conservation scientist go to tasks AI can already do, mostly entering local soil and water data into web decision tools and computing design specifications from technical guides. The work that stays with people is field visits, mediation between landowners and agencies, and confirming that built practices match the plan on site.
Which conservation scientist tasks is AI taking over?
Data entry into web-based decision tools has the highest exposure, at 82 out of 100, so AI can already handle it. Cost estimates for practices and design math from technical guides score 62, because AI computes these quickly from price tables and survey inputs while the scientist checks the result.
Which conservation scientist tasks stay human?
Implementing buffers, filter strips, and erosion controls scores 8 out of 100 on exposure, so it stays with people. Field visits to see erosion causes and mediation sessions among landowners and agencies also score low, because they need physical presence and human trust between parties.
How do conservation scientists stay valuable as AI takes on data work?
Spend more hours on field work that software leaves untouched, such as site visits to erosion problems and post-construction monitoring against design specifications. Hold the certifications and tools that make your sign-off count, and use ArcGIS and AutoCAD to check AI-generated design math before you approve a plan.
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