Somewhat Resilient
Last Update: 6/19/2026
AI Resilience Score for Animal Scientists:
41.9%
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 forAnimal Scientists
$79,120 median salary•200 annual openings•SOC Code: 19-1011.00
Animal Scientists are somewhat less resilient to AI impacts than most occupations, according to our analysis of 5 sources.
Animal science is labeled "Somewhat Resilient" because AI is genuinely changing how the work gets done, even if it is not replacing scientists entirely. Tools like image recognition and sensor data are now handling tasks that used to take hours of human observation, such as tracking animal behavior or estimating body weight, which means the job is shifting toward more data interpretation and computational thinking.
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Animal science is labeled "Somewhat Resilient" because AI is genuinely changing how the work gets done, even if it is not replacing scientists entirely. Tools like image recognition and sensor data are now handling tasks that used to take hours of human observation, such as tracking animal behavior or estimating body weight, which means the job is shifting toward more data interpretation and computational thinking.
Read full analysisAnalysis of Current AI Resilience
Animal Scientists
Updated Quarterly
How is AI changing Animal Scientists jobs?
Right now, AI is mostly augmenting — not replacing — animal scientists. The biggest changes are happening in how scientists collect and analyze data about animals. In a February 2026 review in Animal Frontiers (the American Society of Animal Science's journal), researchers explain that applications of artificial intelligence in animal breeding and genetics can be broadly categorized into two areas: phenotype generation and predictive genetic modeling, and AI has become "an indispensable tool for generating animal phenotypes from image and sensor data".
Cameras paired with deep learning can now predict a dairy cow's body weight with about 4.7% error [1] and recognize aggressive pig behavior with 97%+ accuracy — work that used to require hours of human observation. New university projects are pushing further: a University of Nevada team is building an autonomous robotic watering system paired with facial-recognition AI that identifies each sheep and captures health and performance data [2] to help guide breeding decisions. Still, the same ASAS review cautions that for the core genetics math — predicting breeding values from DNA — "DL methods have not yet consistently outperformed established statistical approaches, such as GBLUP, in genomic prediction".
Translation: scientists are essential for designing studies, interpreting messy biology, and making judgment calls.
Sources
How fast is AI adoption growing for Animal Scientists?
Adoption is speeding up but unevenly. The Bureau of Labor Statistics projects agricultural and food scientist jobs will grow 6% from 2024 to 2034, faster than average [3], suggesting AI is creating work, not erasing it. Money is pouring in — the 2026 Farm Bill proposes reimbursing farmers 90% of the cost of adopting AI and precision agriculture technologies [4].
But the World Economic Forum warns that many farmers operate on thin margins and patchy rural broadband makes AI tools hard to use [5], slowing adoption on smaller farms. Ethical concerns about animal welfare, data ownership, and corporate control of agriculture also act as brakes. For students curious about this field: the science is becoming more computational, but skills in animal biology, ethics, and communication with farmers are exactly the human strengths AI can't replicate.
Sources
Will AI replace Animal Scientists?
Not entirely. We think AI will take over some tasks, but not the whole job.
Animal scientists are already seeing real workflow changes. AI tools can now predict a dairy cow's body weight from camera images and flag aggressive pig behavior with high accuracy [1], cutting down hours of manual observation. Universities are building autonomous systems that combine robotics and facial recognition to track individual animal health and guide breeding decisions [2]. The science is genuinely becoming more computational.
But the core of this work stays human. Designing studies, interpreting messy biological results, making judgment calls about animal welfare, and translating findings for farmers all require expertise and trust that AI cannot replicate. The same research that praises AI tools also notes that established statistical methods still outperform deep learning for key genetics predictions, meaning scientists remain essential.
Our 41.9% AI Resilience Score reflects a real tension: meaningful disruption is coming, but so is continued need for skilled people. The job market picture is modest, and adoption is uneven, partly because rural broadband gaps and thin farm margins slow how fast AI tools actually reach the field [5]. Federal investment in precision agriculture is accelerating change [4], which points toward a role that evolves rather than disappears. Students entering this field should lean into biology, ethics, and communication, the human strengths AI will not replace.
Sources
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Latest AI news for Animal Scientists
These articles highlight the transformative role of AI in animal science careers, offering promising avenues for innovation. For instance, the genESOM system can reduce animal testing by up to 50%, reflecting a shift towards more ethical practices in drug discovery. Additionally, advancements in AI are paving the way for tools that decode animal communications, enhancing our understanding of animal behavior. As AI continues to evolve, animal scientists can harness these technologies to improve welfare standards and research methodologies, ensuring their relevance and resilience in the field.
AI system reduces animal testing in drug discovery by 50 percent
www.drugtargetreview.com • 5/20/2026
German researchers have developed genESOM, a generative AI system that could reduce animal numbers in preclinical drug testing by 30 to 50...
Can AI Help Humans Talk to Animals? Scientists Say We’re Getting Closer to Decoding Their Communication
www.miamiherald.com • 4/17/2026
The idea of a device that decodes animal sounds — turning squeaks, clicks and meows into human language — has been a staple of science...
UK minister unveils plan to cut animal testing through greater use of AI
www.theguardian.com • 11/11/2025
New funding for researchers and streamlined regulation part of roadmap for phasing out use of animals in science.
Daily briefing: Can AI help us talk to animals?
www.nature.com • 9/17/2025
Researchers are using AI tools to decipher the meanings of animal communications, with the hope of one day being able to talk with them.
AI for One Welfare: the role of animal welfare scientists in developing valid and ethical AI-based welfare assessment tools
www.frontiersin.org • 7/18/2025
The increasing use of artificial intelligence (AI) in livestock farming is accelerating the development of automated welfare assessment tools,...
More Career Info
Career: Animal Scientists
They study animals to understand their behavior and health, aiming to improve animal care, breeding, and production for farms or research.
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Employment & Wage Data
Median Wage
$79,120
Jobs (2024)
2,800
Growth (2024-34)
+5.8%
Annual Openings
200
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
Crossbreed animals with existing strains or cross strains to obtain new combinations of desirable characteristics.
2
Research and control animal selection and breeding practices to increase production efficiency and improve animal quality.
3
Conduct research concerning animal nutrition, breeding, or management to improve products or processes.
4
Develop improved practices in feeding, housing, sanitation, or parasite and disease control of animals.
5
Study effects of management practices, processing methods, feed, or environmental conditions on quality and quantity of animal products, such as eggs and milk.
6
Study nutritional requirements of animals and nutritive values of animal feed materials.
7
Determine genetic composition of animal populations and heritability of traits, using principles of genetics.
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.
