BETA
Updated: May 28
BETA
Updated: May 28
CLOSE
The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
Navigate your career with your free AI Career Coach. Research-backed, designed with career experts.
The AI Resilience Report is a project from CareerVillage®, a registered 501(c)(3) nonprofit.
Somewhat Resilient
Last Update: 5/19/2026
Your role’s AI Resilience Score is
43.8%
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 Breeders
Animal Breeders are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Animal breeding is labeled "Somewhat Resilient" because AI is genuinely changing a meaningful chunk of the job — especially the data and record-keeping side, like tracking animal traits, predicting genetics, and monitoring health through sensors and cameras — which means breeders will need to adapt and learn new tools to stay competitive. At the same time, the hands-on, judgment-heavy work that makes up so much of this career — handling animals, treating injuries, showing livestock, and building trust with buyers — is something AI simply can't replicate.
Read full analysisLearn more about how you can thrive in this position
View analysis
Chat with Coach
Latest news
More career infoAnalysisChatNewsMoreLearn more about how you can thrive in this position
View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is somewhat resilient
Animal breeding is labeled "Somewhat Resilient" because AI is genuinely changing a meaningful chunk of the job — especially the data and record-keeping side, like tracking animal traits, predicting genetics, and monitoring health through sensors and cameras — which means breeders will need to adapt and learn new tools to stay competitive. At the same time, the hands-on, judgment-heavy work that makes up so much of this career — handling animals, treating injuries, showing livestock, and building trust with buyers — is something AI simply can't replicate.
Read full analysisAnalysis of Current AI Resilience
Animal Breeders
Updated Quarterly • Last Update: 5/14/2026
How is AI changing Animal Breeders jobs?
Right now, AI is mostly augmenting animal breeders rather than replacing them. The biggest impact is in the data-heavy parts of the job — recording animal traits and choosing which animals to breed. A 2026 review in Animal Frontiers explains that AI applications in animal breeding and genetics fall into two main areas: phenotype generation and predictive genetic modeling, with foundation models becoming an indispensable tool for generating animal phenotypes from image and sensor data, available at Oxford Academic [1].
On farms, cameras, microphones, and wearable sensors feed AI systems that track growth, behavior, and health. The Journal of Animal Science's 2026 ASAS-NANP symposium review [1] notes that AI technologies like machine learning, computer vision, and sensor-based systems help monitor livestock more precisely, and tools now exist for early disease detection, estrus prediction, real-time behavior tracking, and automated feeding. AI is also strengthening genomic selection — a 2025 MDPI study on dairy cattle [2] shows AI models combining genomics with phenotype data to predict health and climate resilience.
Hands-on tasks like shearing, building pens, treating injuries, and showing animals still require human skill and judgment.
Sources
How fast is AI adoption growing for Animal Breeders?
Adoption is happening, but slowly and unevenly. A May 2026 Drovers article [3] describes AI as a "digital farmhand" that automates repetitive data tasks so farm teams can focus on animal husbandry — a strong pull factor given persistent farm labor shortages. The World Economic Forum's 2026 outlook [4] frames AI-enabled agricultural intelligence as essential to feeding nearly 10 billion people by 2050.
But barriers are real: the Journal of Animal Science review [1] warns that unreliable internet access and the high cost of advanced equipment limit adoption, most AI systems require large well-labeled datasets, and decisions can be hard to interpret, which makes them hard to trust. A 2025 ScienceDirect review [5] similarly notes that small and mid-sized operations struggle to afford precision livestock technology. The USDA's 2025–2026 AI Strategy [6] is funding rural connectivity and farmer training to close that gap.
The good news for young people: skills like animal handling, ethical judgment, veterinary care, and relationship-building with buyers at shows are exactly the human strengths AI cannot replicate — and they will remain at the heart of this career.
Sources
Help us improve this report.
Tell us if this analysis feels accurate or we missed something.
Share your feedback
More Career Info
Career: Animal Breeders
They help improve animal breeds by selecting parents with desired traits and managing the breeding process to produce healthy, high-quality offspring.
Parent Careers
Employment & Wage Data
Median Wage
$52,000
Jobs (2024)
7,900
Growth (2024-34)
+2.4%
Annual Openings
1,200
Education
High school diploma or equivalent
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
Build hutches, pens, and fenced yards.
2
Package and label semen to be used for artificial insemination, recording information such as the date, source, quality, and concentration.
3
Attach rubber collecting sheaths to genitals of tethered bull and stimulate animal's organ to induce ejaculation.
4
Clip or shear hair on animals.
5
Adjust controls to maintain specific building temperatures required for animals' health and safety.
6
Treat minor injuries and ailments and contact veterinarians to obtain treatment for animals with serious illnesses or injuries.
7
Place vaccines in drinking water, inject vaccines, or dust air with vaccine powder to protect animals from diseases.
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.
© 2026 CareerVillage.org. All rights reserved.
The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.
Built with ❤️ by Sandbox Web
The AI Resilience Report is governed by CareerVillage.org’s Privacy Policy and Terms of Service. This site is not affiliated with Anthropic, Microsoft, or any other data provider and doesn't necessarily represent their viewpoints. This site is being actively updated, and may sometimes contain errors or require improvement in wording or data. To report an error or request a change, please contact air@careervillage.org.