Somewhat Resilient
Last Update: 8/30/2026
AI Resilience Score for Animal Scientists:
47.6%
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.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forAnimal Scientists
$68,940 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 6 sources.
Animal science is labeled "Somewhat Resilient" because AI is genuinely changing how this work gets done, even if it is not replacing animal scientists entirely. Tools like computer vision, machine learning, and sensor systems are now handling tasks like disease detection, behavior tracking, and feeding management, which means the day-to-day workflows of animal scientists are shifting in real ways.
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Animal science is labeled "Somewhat Resilient" because AI is genuinely changing how this work gets done, even if it is not replacing animal scientists entirely. Tools like computer vision, machine learning, and sensor systems are now handling tasks like disease detection, behavior tracking, and feeding management, which means the day-to-day workflows of animal scientists are shifting in real ways.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreAnalysis of Current AI Resilience
Animal Scientists
Updated Quarterly
How is AI changing Animal Scientists jobs?
Right now, AI is mostly augmenting animal scientists rather than replacing them — it acts like a super-powered assistant that speeds up research and monitoring. A recent ASAS-NANP symposium in the Journal of Animal Science [1] describes how machine learning, computer vision, and sensor-based systems help monitor and manage livestock more precisely, from early disease detection and estrus prediction to real-time behavior tracking and automated feeding systems. On dairy farms, tools like Nedap's SmartSight [2] use computer vision to detect early signs of lameness in cows and integrate with existing herd-monitoring platforms.
Even the "study nutrition" task is being augmented: USDA ARS scientists have teamed up with generative AI experts and cattle nutrition experts [3] to help produce more meat with less feed, and upcoming AI4Animal Science 2026 conference sessions [4] will cover precision livestock farming, data integration, and AI-driven monitoring of animal welfare. Writing, advising, and hands-on judgment still rely heavily on humans — designing ethical breeding programs requires balancing genetic diversity with animal welfare, and building trust with farmers involves empathy and interpersonal skills that AI cannot authentically provide.
Sources
How fast is AI adoption growing for Animal Scientists?
Adoption is happening, but unevenly. McKinsey notes that labor-saving livestock management systems are ROI-positive [5] but face adoption challenges due to the upfront capital required from farmers, and widespread AI adoption in precision livestock farming still has to overcome rural connectivity issues, implementation costs, and on-farm skills gaps. There are also ethical guardrails: researchers flag concerns about data privacy, algorithmic bias, and the displacement of traditional labor roles [6].
The good news for students: employers now prize skills in AI, bioinformatics, and robotics [7] alongside traditional animal science knowledge, so pairing biology with data skills makes you especially valuable.
Sources
Will AI replace Animal Scientists?
Not entirely. We think AI will take over some tasks, but not the whole job.
Animal scientists score a 47.6% AI Resilience Score, which puts them in meaningful-but-not-catastrophic territory. Right now, AI is acting more like a powerful assistant than a replacement. Machine learning and computer vision already help with disease detection, behavior tracking, and automated feeding systems [1], and USDA researchers are using generative AI to help cattle produce more meat with less feed [3]. That kind of augmentation is real and growing.
What stays human is the judgment-heavy work: designing ethical breeding programs, weighing animal welfare tradeoffs, and building trust with farmers through empathy and experience. Those things require more than pattern recognition. Adoption is also uneven because rural connectivity gaps, high upfront costs, and on-farm skills gaps slow the rollout [5].
The harder truth is that long-term employer demand for this role is rated Low by our scorecard, so the field is not growing fast. The students who will do best are the ones who pair traditional animal science knowledge with skills in bioinformatics, AI tools, and data analysis [7]. That combination makes you genuinely hard to automate and more competitive in a smaller but evolving job market.
Sources
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Latest AI news for Animal Scientists
These articles highlight the transformative role of AI in animal science careers, emphasizing how technologies enhance livestock monitoring and disease prediction. For instance, "Artificial Intelligence in Animal Science, Volume 1" discusses AI's ability to optimize feed and improve animal health, while "Will AI Replace Animal Scientist Jobs?" reveals that while data analysis may be automated, hands-on skills remain vital. Students should embrace AI as a tool that enhances their work, fostering resilience in a field where technology will complement rather than replace their expertise.
Artificial Intelligence in Animal Science, Volume 1
link.springer.com • 9/20/2026
This book explores how AI technologies are transforming animal agriculture. AI's role in feed optimization, disease prediction, livestock monitoring, and ...
Perceptions Toward Artificial Intelligence (AI) Among ...
www.mdpi.com • 9/20/2026
by J Shi · 2025 · Cited by 4 — AI technology has had a significant impact on the education of animal science majors. ... AI has also offered animal science researchers ... Read more
Artificial intelligence in veterinary and animal science
www.sciencedirect.com • 9/20/2026
by NG Hossein-Zadeh · 2025 · Cited by 40 — AI helps improve beneficial traits, such as increased growth rates, better feed conversion, and improved resistance to disease.
Will AI Replace Animal Scientist Jobs?
jobzonerisk.com • 9/20/2026
AI is automating the data-intensive core of this role — production analytics, genomic prediction, statistical modelling — while hands-on animal work and…
Veterinary Medicine AI Training Careers
www.opentrain.ai • 9/20/2026
The #1 Platform for Finding Veterinary Medicine AI Training Jobs ; Veterinary Explanations Review Specialist $40/hr ; Animal Health Guidance Review Specialist $36 ... Read more
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.
Parent Careers
Similar Careers
Employment & Wage Data
Median Wage
$68,940
Jobs (2025)
3,400
Growth (2025-35)
+5.8%
Annual Openings
200
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
Crossbreed animals with existing strains or cross strains to obtain new combinations of desirable characteristics.
2
Conduct research concerning animal nutrition, breeding, or management to improve products or processes.
3
Research and control animal selection and breeding practices to increase production efficiency and improve animal quality.
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.
