Will AI replace conservation scientists?
Not entirely. Parts of the job are likely to change as AI takes over routine tasks. Conservation Scientists score 43 out of 100 (elevated exposure), #372 of 923 US jobs. AI could speed up 26 of the job's 30 tasks, 0 of them on its own, while 4 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.
Which conservation scientists tasks can AI do?
The most exposed tasks include "Apply principles of specialized fields of science, such as agronomy, soil science, forestry, or agriculture, to achieve conservation objectives"; "Plan soil management or conservation practices, such as crop rotation, reforestation, permanent vegetation, contour plowing, or terracing, to maintain soil or conserve water"; "Monitor projects during or after construction to ensure projects conform to design specifications".
Which conservation scientists tasks are hardest for AI?
Tasks with little or no AI speed-up include "Implement soil or water management techniques, such as nutrient management, erosion control, buffers, or filter strips, in accordance with conservation plans"; "Develop or maintain working relationships with local government staff or board members"; "Revisit land users to view implemented land use practices or plans".
Are people already using AI for this work?
Yes. In April–May 2026, 1 of the 30 tasks showed up in real conversations with Claude, according to the Anthropic Economic Index.
How many people work as conservation scientists, and what do they earn?
About 25,950 people in the US, with median pay of $73,010 a year (BLS, May 2025).