Somewhat Resilient
Last Update: 6/19/2026
AI Resilience Score for Conservation Scientists:
48.7%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
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Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forConservation Scientists
$67,950 median salary•2,500 annual openings•SOC Code: 19-1031.00
Conservation Scientists are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Conservation science is labeled "Somewhat Resilient" because AI is genuinely changing how a big chunk of the work gets done, especially the data-heavy tasks like sorting through thousands of wildlife photos or flagging erosion hotspots on satellite maps. Those workflows are shifting fast, meaning future conservation scientists will need to be comfortable using AI tools rather than doing that analysis by hand.
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Conservation science is labeled "Somewhat Resilient" because AI is genuinely changing how a big chunk of the work gets done, especially the data-heavy tasks like sorting through thousands of wildlife photos or flagging erosion hotspots on satellite maps. Those workflows are shifting fast, meaning future conservation scientists will need to be comfortable using AI tools rather than doing that analysis by hand.
Read full analysisAnalysis of Current AI Resilience
Conservation Scientists
Updated Quarterly
How is AI changing Conservation Scientists jobs?
Right now, AI in conservation science is mostly augmenting human work rather than replacing it. Researchers are using machine learning to chew through the mountains of camera-trap photos, drone images, and audio recordings that field biologists collect — work that used to take years. According to Yale E360, the "bottleneck has really shifted from being hard-to-collect data to making sense of the enormous amount of data at our fingertips," [1] and AI now lets four people process 18 million Idaho Fish and Game camera-trap images in a couple of weeks instead of years.
For the tasks listed in your role, this looks like AI-powered drones and computer vision spotting weeds and pests for IPM decisions, satellite models flagging erosion hotspots, and predictive tools simulating how restored wetlands might reduce flooding — all things Conservation International says help "dramatically increase the scale and speed" [2] of conservation work. The Nature Conservancy is also building new AI tools for climate and nature decisions through a Bezos Earth Fund AI Grand Challenge grant [3]. But the on-the-ground tasks — visiting eroding fields, advising farmers, and revisiting land users — still rely on human judgment and trust.
Sources
How fast is AI adoption growing for Conservation Scientists?
Adoption will likely be steady but cautious. The Bureau of Labor Statistics projects conservation scientist jobs will grow about 3% from 2024 to 2034 [4], so AI is more about expanding capacity than cutting positions. Big drivers include cheaper drones, free image-analysis models, and major NGO funding.
Slower-adoption factors include ethical worries — The Wildlife Society recently warned that AI-generated wildlife videos could "sway real-world conservation outcomes" [5] and mislead policy — plus the reality that farmers and ranchers still want a trusted human walking their land. If you're entering this field, learning to use AI tools while keeping strong fieldwork, communication, and ecological-judgment skills is the winning combination.
Sources
Will AI replace Conservation Scientists?
Not entirely. We think AI will take over some tasks, but not the whole job.
Conservation scientists earn a 48.7% AI Resilience Score, which tells you this role is feeling real pressure but is far from gone. Right now, AI is handling the data-heavy lifting: machine learning can process 18 million camera-trap images in a couple of weeks instead of years, a task that used to swallow entire research careers [1]. Tools powered by computer vision and satellite imagery are also flagging erosion hotspots and simulating wetland restoration outcomes, helping teams work at a scale that was impossible before [2].
What AI cannot do is walk a farmer's land, build trust with a rancher, or make the kind of on-the-ground ecological judgment that comes from years of fieldwork. Those human elements are still central to the job. There are also real caution flags: The Wildlife Society has warned that AI-generated wildlife content could mislead conservation policy [5], which means human scientists are needed to verify, interpret, and communicate findings responsibly.
The Bureau of Labor Statistics projects about 3% job growth through 2034 [4], so AI looks more like a capacity booster than a job cutter here. If you learn to use these tools while keeping strong fieldwork and communication skills, you will be well positioned.
Sources
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Latest AI news for Conservation Scientists
These articles highlight how AI is reshaping the field of conservation science. For instance, the "Global AI model may protect freshwater fish from extinction" demonstrates how early warning systems can proactively address species decline, showcasing the critical role of technology in conservation efforts. Additionally, the $2M award to WCS emphasizes the increasing funding and support for innovative AI solutions aimed at preserving biodiversity. This indicates a growing demand for conservation scientists who can leverage AI, ensuring they remain resilient in a rapidly evolving field.
Global AI model may protect freshwater fish from extinction
www.thebrighterside.news • 3/1/2026
AI model identifies early warning signs of freshwater fish extinction, helping conservationists act before species decline.
Researchers develop AI-based tool to protect freshwater fish before they become endangered
news.oregonstate.edu • 2/27/2026
CORVALLIS, Ore. – Researchers spent five years developing an AI-based model to protect freshwater fish worldwide from extinction,...
‘Roadmap’ shows the environmental impact of AI data center boom
news.cornell.edu • 11/10/2025
Researchers used advanced data analytics to create a state-by-state look at that environmental impact of the AI boom and how to make the...
WCS Receives $2M Award from Bezos Earth Fund to Advance AI Solutions for Climate and Nature
newsroom.wcs.org • 10/23/2025
The award supports innovative use of artificial intelligence to protect biodiversity and advance climate solutions worldwide.
Could These ‘Deepfake’ Whales Aid Conservation Efforts?
insideclimatenews.org • 9/24/2025
Ecologists are increasingly tapping into AI to assist conservation, but many are grappling with how to use these energy-hungry systems...
More Career Info
Career: Conservation Scientists
They protect the environment by studying natural areas and finding ways to manage and use resources without harming ecosystems.
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Employment & Wage Data
Median Wage
$67,950
Jobs (2024)
28,500
Growth (2024-34)
+3.4%
Annual Openings
2,500
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Advise land users, such as farmers or ranchers, on plans, problems, or alternative conservation solutions.
2
Revisit land users to view implemented land use practices or plans.
3
Review or approve amendments to comprehensive local water plans or conservation district plans.
4
Plan soil management or conservation practices, such as crop rotation, reforestation, permanent vegetation, contour plowing, or terracing, to maintain soil or conserve water.
5
Implement soil or water management techniques, such as nutrient management, erosion control, buffers, or filter strips, in accordance with conservation plans.
6
Participate on work teams to plan, develop, or implement programs or policies for improving environmental habitats, wetlands, or groundwater or soil resources.
7
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.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
