Mostly Resilient
Last Update: 7/31/2026
AI Resilience Score for Zoologist/Wildlife Biologist:
51.7%
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.
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.
Zoologists and wildlife biologists are "Mostly Resilient" because AI is taking over the most repetitive, time-consuming tasks (like sorting through thousands of camera trap photos) while leaving the most important work firmly in human hands. The heart of this career, including designing research studies, doing fieldwork, understanding why species are declining, and working with communities on conservation solutions, requires human judgment and real-world experience that AI simply cannot replicate.
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Zoologists and wildlife biologists are "Mostly Resilient" because AI is taking over the most repetitive, time-consuming tasks (like sorting through thousands of camera trap photos) while leaving the most important work firmly in human hands. The heart of this career, including designing research studies, doing fieldwork, understanding why species are declining, and working with communities on conservation solutions, requires human judgment and real-world experience that AI simply cannot replicate.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreAnalysis of Current AI Resilience
Zoologist/Wildlife Biologist
Updated Quarterly
How is AI changing Zoologist/Wildlife Biologist jobs?
Right now, AI is mostly augmenting zoologists and wildlife biologists rather than replacing them — it's like giving researchers a super-powered assistant. The biggest changes are in counting and identifying animals, which used to take huge amounts of time. In a new study, AI 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.
Researchers at WSU and Google tested a tool called SpeciesNet on camera-trap photos and found that for most species, models built from AI-identified images closely matched those produced by human experts. The lead scientist was clear: "We're not trying to replace people" [1] — the goal is faster decisions for conservation.
Beyond camera traps, ecologists are learning to use AI for drone, acoustic, and satellite data. The Smithsonian Conservation Biology Institute now runs a course because computer vision is rarely taught in ecology programs [2], helping biologists pick and evaluate models for their own research. AI is also creating new problems biologists must handle: fake videos can spread misinformation, and therefore, they can decrease the public awareness about biodiversity, making the implementation of some conservation actions more difficult, according to a recent Wildlife Society Q&A on AI-generated wildlife content [3].
Sources
How fast is AI adoption growing for Zoologist/Wildlife Biologist?
Adoption is moving fast for data-heavy tasks because the tools are free or low-cost and the time savings are huge — early AI tools offered some relief by filtering out blank images, often 60–70% of the total, and newer models like SpeciesNet can run a full pipeline in days. That's especially valuable for smaller or underfunded conservation groups [4] who can't afford armies of student reviewers.
But adoption is slower for the human parts of the job — fieldwork, stakeholder consultation, public outreach, and policy recommendations. Mongabay reports that more data does not automatically produce better understanding, and conservation still needs people to figure out why species are declining and what to do about it. There are also social and ethical concerns: a Conservation Frontlines analysis [5] from February 2026 warns about AI-generated wildlife imagery distorting public perception, and the Wildlife Society notes that AI-generated videos may have the potential to influence attitudes, policy debates, and funding priorities.
The encouraging takeaway: AI is taking over the tedious sorting work so biologists can spend more time on the things humans do best — designing studies, interpreting findings, working with communities, and protecting wild places. If you're drawn to this career, learning some basic machine-learning skills alongside your biology training will make you really valuable.
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 51.7% AI Resilience Score, meaning it holds up better than most. The biggest shift is already happening in data-heavy tasks like sorting camera-trap images. AI tools can now compress months of photo analysis into days while producing results that closely match human expert conclusions [1]. Early filtering tools alone cut out 60 to 70% of blank images, saving enormous time for underfunded conservation teams [4]. That is real disruption to how the work gets done, but it is augmentation, not replacement.
The human core of this job stays intact. Fieldwork, study design, community engagement, and policy recommendations all require judgment and trust that AI cannot replicate. There are also new responsibilities AI creates: biologists now need to counter AI-generated wildlife misinformation that can distort public perception and influence funding decisions (wildlife.org, conservationfrontlines.org). The Smithsonian now offers training in computer vision specifically because ecologists need to evaluate these tools critically [2].
The job market outlook is modest, so this is not a career with explosive hiring ahead. But the role itself is evolving into something more valuable, combining biological expertise with data literacy, and that combination is genuinely hard to automate.
Sources
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Latest AI news for Zoologist/Wildlife Biologist
The recommended articles highlight how AI is transforming the field of wildlife biology, offering innovative solutions for conservation. For instance, "Using AI to Monitor Trackside Britain’s Wildlife" discusses how technology can process vast data to protect species, enhancing fieldwork efficiency. Similarly, "Artificial Intelligence Is Watching Wildlife" illustrates AI's role in monitoring diverse species, from trout to whales. These insights emphasize that embracing AI can equip future zoologists and wildlife biologists with vital tools to address environmental challenges, fostering resilience in their careers as they adapt to this evolving landscape.
To save nature, AI needs our help
www.cam.ac.uk • 5/7/2025
A group of conservation scientists at Cambridge is pushing hard. Efforts to protect the natural world need all the help they can get.
Artificial intelligence and conservation
www.worldwildlife.org • 3/3/2025
WWF is applying AI tools to help solve some of the most pressing environmental challenges faster, smarter, and at a greater scale.
Beyond the Hype: Navigating the Conservation Implications of Artificial Intelligence
conbio.onlinelibrary.wiley.com • 12/20/2024
Conservation AI—the deliberate application of artificial intelligence technology to achieve conservation goals—has great potential to boost...
Artificial Intelligence Is Watching Wildlife
www.nwf.org • 3/28/2024
Artificial intelligence is assisting wildlife conservation efforts in species from trout to whales while raising some watchdog eyebrows.
Using AI to Monitor Trackside Britain’s Wildlife
www.zsl.org • 10/26/2023
We're working at the cutting edge of conservation – using artificial intelligence to rapidly process vast amounts of field data to protect British wildlife.
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 (2024)
18,200
Growth (2024-34)
+1.6%
Annual Openings
1,400
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
Collect and dissect animal specimens and examine specimens under microscope.
2
Inform and respond to public regarding wildlife and conservation issues, such as plant identification, hunting ordinances, and nuisance wildlife.
3
Coordinate preventive programs to control the outbreak of wildlife diseases.
4
Oversee the care and distribution of zoo animals, working with curators and zoo directors to determine the best way to contain animals, maintain their habitats and manage facilities.
5
Make recommendations on management systems and planning for wildlife populations and habitat, consulting with stakeholders and the public at large to explore options.
6
Study animals in their natural habitats, assessing effects of environment and industry on animals, interpreting findings and recommending alternative operating conditions for industry.
7
Prepare collections of preserved specimens or microscopic slides for species identification and study of development or disease.
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.
