Mostly Resilient
Last Update: 8/30/2026
AI Resilience Score for Zoologist/Wildlife Biologist:
52.0%
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.
Med
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%).
Low
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.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
AI Resilience Report forZoologists and Wildlife Biologists
$76,780 median salary•1,400 annual openings•SOC Code: 19-1023.00
Zoologists and Wildlife Biologists are somewhat more resilient to AI impacts than most occupations, according to our analysis of 8 sources.
Zoologist and wildlife biologist careers are labeled "Mostly Resilient" because AI is taking over the repetitive, time-consuming tasks (like sorting through thousands of camera trap photos) while leaving the most important work firmly in human hands. The skills that really define this career, including designing field studies, building relationships with local communities, and making judgment calls about how to protect wildlife and habitats, are things AI simply cannot replicate.
Learn more about how you can thrive in this position
This role is mostly resilient
Zoologist and wildlife biologist careers are labeled "Mostly Resilient" because AI is taking over the repetitive, time-consuming tasks (like sorting through thousands of camera trap photos) while leaving the most important work firmly in human hands. The skills that really define this career, including designing field studies, building relationships with local communities, and making judgment calls about how to protect wildlife and habitats, are things AI simply cannot replicate.
Read full analysisLearn more about how you can thrive in this position
Analysis of Current AI Resilience
Zoologist/Wildlife Biologist
Updated Quarterly

How is AI changing Zoologist/Wildlife Biologist jobs?
Right now, AI is mostly augmenting wildlife biologists rather than replacing them — it's speeding up the boring, repetitive parts so scientists can focus on animals, habitats, and decisions. The biggest breakthrough is in camera-trap and image analysis. In a Washington State University–Google study, researchers found that artificial intelligence can dramatically speed up the painstaking work of tracking wildlife with remote cameras, cutting analysis time from months or even a year to just days while producing nearly the same scientific conclusions as humans, with results aligning with human experts in roughly 85–90% of cases [1].
The lead author was clear that "We're not trying to replace people," said WSU wildlife ecologist Daniel Thornton, lead author of the study. "The goal is to help researchers get to answers faster so they can make better decisions about managing and conserving wildlife."
The tool behind much of this is Google's SpeciesNet, which was trained on over 65 million publicly available images and can classify animals in up to 2,000 categories [2]. Beyond images, artificial intelligence (AI) is bringing ecological inference closer to decision-making, producing detections, alerts, trends, and prioritisation outputs, according to a 2026 review in the Journal of Applied Ecology [3]. Large language models are also helping with literature reviews and code, though The Wildlife Society notes that some researchers worry about "skill erosion" and hallucinated data [2].
Fieldwork, stakeholder meetings, and habitat management plans still rely on human judgment.
Sources

How fast is AI adoption growing for Zoologist/Wildlife Biologist?
Adoption is happening quickly on the research side and slowly on the decision-making side. Many top tools — SpeciesNet, iNaturalist, eBird — are free and open-source, so cost isn't a big barrier. Bioacoustic AI is also cheap and scalable, with projects using AI to analyze animal sounds and detect species presence at massive scale [4].
Because the U.S. only employs about 18,200 zoologists and wildlife biologists with 2% projected growth from 2024–2034 [5], AI mainly stretches a small workforce further rather than shrinking it. However, ethical and scientific caution slows deeper adoption: researchers warn that LLMs can hallucinate, which is what we call it when they use or create non-real data that looks very convincing and worry about energy use, data sovereignty, and students reading less because AI does the summarizing [2]. The good news for young people curious about this career: the skills AI can't copy — designing field studies, working with communities, and making judgment calls about wildlife policy — are exactly the ones this profession values most.
Sources

Will AI replace Zoologist/Wildlife Biologist?
No. We don't think AI will replace Zoologists and Wildlife Biologists, though we do expect the job to change.
We give this career a 52.0% AI Resilience Score, which puts it in "Mostly Resilient" territory. AI is genuinely transforming the repetitive, data-heavy side of the work. Tools like Google's SpeciesNet can analyze camera-trap images in days instead of months, aligning with human expert conclusions in roughly 85 to 90% of cases [1]. Bioacoustic AI can detect species presence at massive scale for very little cost [4]. And AI is already helping researchers move from raw detections to conservation alerts and prioritization outputs faster than before [3].
What AI cannot do is the part that defines this career: designing field studies, building trust with local communities, making judgment calls about wildlife policy, and taking responsibility for those decisions. Those skills are exactly what this profession values most [2]. The job market picture is modest, with only about 18,200 people employed in this field and 2% projected growth through 2034 [5], so AI is more likely to stretch a small workforce further than to shrink it. If you love animals and ecosystems, this career still has a real human future.
Sources

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Latest AI news for Zoologist/Wildlife Biologist
AI is transforming the careers of zoologists and wildlife biologists by automating data-heavy tasks like species identification and habitat analysis, as noted in "Will AI Replace Zoologist and Wildlife Biologist Jobs?" This technology enhances conservation efforts, as highlighted in "Artificial Intelligence Is Watching Wildlife," which showcases AI's role in monitoring diverse species. Embracing AI tools can empower future professionals to focus on innovative research and fieldwork, fostering resilience in a rapidly evolving landscape of wildlife biology.
Will AI Replace Zoologist and Wildlife Biologist Jobs?
jobzonerisk.com • 9/20/2026
AI is automating the data-heavy tail of this role — species identification, image classification, statistical modelling — while fieldwork and research…
Artificial Intelligence Is Watching Wildlife
www.nwf.org • 9/20/2026
Mar 28, 2024 — Artificial intelligence is assisting wildlife conservation efforts in species from trout to whales while raising some watchdog eyebrows.
The potential for AI to revolutionize conservation: a horizon ...
www.sciencedirect.com • 9/20/2026
by SA Reynolds · 2025 · Cited by 135 — We present the results of our horizon scan of AI applications likely to significantly benefit biological conservation. An international panel of conservation ... Read more
Artificial intelligence reshapes wildlife research but raises ...
www.ehn.org • 9/20/2026
May 27, 2025 — Researchers are using AI to process vast audio and visual datasets, revealing animal behaviors and habitat patterns once too difficult to study, ... Read more
AI for Nature: From Science to Impact
www.agci.org • 9/20/2026
Jul 30, 2024 — AI can turn these data into a high-resolution information source about living organisms and the planet's biodiversity, enabling scientific ... Read more
More Career Info
Career: Zoologists and Wildlife Biologists
They study animals and their habitats to understand their behavior and help protect wildlife and the environment.
Parent Careers
Employment & Wage Data
Median Wage
$76,780
Jobs (2025)
19,500
Growth (2025-35)
+3.6%
Annual Openings
1,400
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Organize and conduct experimental studies with live animals in controlled or natural surroundings.
2
Study animals in their natural habitats, assessing effects of environment and industry on animals, interpreting findings and recommending alternative operating conditions for industry.
3
Develop, or make recommendations on, management systems and plans for wildlife populations and habitat, consulting with stakeholders and the public at large to explore options.
4
Collect and dissect animal specimens and examine specimens under microscope.
5
Coordinate preventive programs to control the outbreak of wildlife diseases.
6
Prepare collections of preserved specimens or microscopic slides for species identification and study of development or disease.
7
Study characteristics of animals, such as origin, interrelationships, classification, life histories, diseases, development, genetics, and distribution.
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.
