Somewhat Resilient
Last Update: 8/30/2026
AI Resilience Score for Animal Breeders:
48.2%
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
$51,130 median salary•1,000 annual openings•SOC Code: 45-2021.00
Animal Breeders are somewhat less resilient to AI impacts than most occupations, according to our analysis of 7 sources.
Animal breeding is "Somewhat Resilient" because AI is genuinely changing how a big chunk of the work gets done, especially the data-heavy tasks like tracking animal weight, health, and body condition, which used to require a lot of manual observation and record-keeping. Cameras, sensors, and smart software are now handling much of that monitoring automatically, so the job is shifting toward interpreting AI-generated alerts and making smart breeding decisions rather than collecting raw data by hand.
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Animal breeding is "Somewhat Resilient" because AI is genuinely changing how a big chunk of the work gets done, especially the data-heavy tasks like tracking animal weight, health, and body condition, which used to require a lot of manual observation and record-keeping. Cameras, sensors, and smart software are now handling much of that monitoring automatically, so the job is shifting toward interpreting AI-generated alerts and making smart breeding decisions rather than collecting raw data by hand.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreAnalysis of Current AI Resilience
Animal Breeders
Updated Quarterly
How is AI changing Animal Breeders jobs?
Animal breeders are seeing real, hands-on help from AI — but mostly as an assistant, not a replacement. A 2026 review in the American Society of Animal Science's Animal Frontiers journal explains that artificial intelligence, particularly deep learning, is reshaping animal breeding and genetics through advances in phenotyping and computer vision, offering powerful tools for accelerating genetic gain, improving animal welfare, and enhancing decision-making when combined with genomic information. Cameras and depth sensors now track cow body weight, body condition score, feed intake, and even respiratory rate [1] automatically — the exact "record animal characteristics" tasks that make up a breeder's core work.
At the same time, deep learning has not yet consistently outperformed established statistical approaches, such as GBLUP, in genomic prediction, meaning the final "which parents to breed" decision still leans on trusted human-guided models. Industry writers at Pork Business describe today's AI as a "digital farmhand" [2] that handles repetitive data tasks so people can focus on animal husbandry, noting that AI is not replacing agronomists, breed managers or the people closest to the animals — it's amplifying their experience and sharpening their decision timing.
Sources
How fast is AI adoption growing for Animal Breeders?
Adoption is speeding up because the economics make sense. A WATT AgNet report from June 2026 [3] shared that in 2025, 415,000 farm job openings were posted, yet only 182 applications came in — a labor gap that pushes farms toward automation. Ag Proud [4] reports that labor shortages are accelerating adoption of monitoring technologies, and AI-supported systems prioritize alerts based on risk, allowing employees to focus attention where intervention is most needed.
Still, the World Economic Forum [5] warns of barriers: many farmers operate on thin margins, making the upfront cost of buying new tools a big hurdle, and patchy broadband in rural areas means farmers may struggle to use AI-driven platforms. Ethical and data-ownership worries also slow rollout — farmers need assurance that their data won't be misused, that they'll retain ownership of their information, and that AI systems will remain under their ultimate control. The hands-on, outdoor jobs — feeding, cleaning pens, treating sick animals, building hutches — remain hard to automate, so young people entering this field can expect AI to be a helpful teammate, not a substitute for real animal-care skills.
Sources
Will AI replace Animal Breeders?
Not entirely. We think AI will take over some tasks, but not the whole job.
Animal breeders score a 48.2% AI Resilience Score, which tells you this career faces real change without facing extinction. AI is already handling a lot of the repetitive data work: cameras and sensors now automatically track body weight, body condition, and even respiratory rates in livestock [1]. That frees breeders from manual record-keeping so they can focus on the animal care and judgment calls that actually require being present.
What stays human is meaningful. The final decision on which animals to breed still leans on experienced human guidance, because deep learning has not yet consistently outperformed established statistical methods in genomic prediction [1]. And the hands-on work, feeding, treating sick animals, reading animal behavior up close, remains genuinely hard to automate. Industry observers describe today's AI as a "digital farmhand" that amplifies a breeder's experience rather than replacing it [2].
The job market picture is tougher. Employer demand through 2034 is low, partly because a massive labor shortage is pushing farms toward automation faster [3]. Cost barriers and rural broadband gaps slow full adoption [5], but young people entering this field should plan to build both animal-care skills and comfort with AI monitoring tools. That combination is where the opportunity lives.
Sources
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Latest AI news for Animal Breeders
These articles highlight how AI is transforming the field of animal breeding, offering innovative solutions and enhanced decision-making. For instance, Kent Gray's work with AI at Smithfield Foods shows how technology can optimize hog genetics, leading to healthier livestock. Meanwhile, AI's ability to analyze dog barks could help breeders understand behavioral traits better. Embracing these advancements can provide aspiring animal breeders with a competitive edge, ensuring they remain resilient in an evolving industry that increasingly relies on data-driven insights.
Ai Services boosts livestock breeding with smart technology
www.farminglife.com • 2/1/2026
Ai Services, Northern Ireland's leading livestock genetics company is marking an industry first by harnessing the power of AI (Artificial...
Scientists enlist AI to interpret meaning of barks
www.bbc.com • 6/6/2024
They are also digging into whether AI can tell a dog's age, gender and breed based on the noises it makes.
Breeding better hogs with artificial intelligence
www.farmprogress.com • 4/24/2024
As general manager of premium genetics for Smithfield Foods, Kent Gray's job is to develop the genetic product that goes into the hogs...
Comparison of artificial intelligence algorithms and their ranking for the prediction of genetic merit in sheep
www.nature.com • 11/4/2022
As the amount of data on farms grows, it is important to evaluate the potential of artificial intelligence for making farming predictions.
AI Vs. the Bull
www.agriculture.com • 10/1/2012
Owning a bull would seem to be a requirement to be in the cow-calf business, wouldn't it? Maybe not. You do have the option of breeding cows...
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
$51,130
Jobs (2025)
6,900
Growth (2025-35)
+3.0%
Annual Openings
1,000
Education
High school diploma or equivalent
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
Exhibit animals at shows.
2
Bathe and groom animals.
3
Build hutches, pens, and fenced yards.
4
Inject prepared animal semen into female animals for breeding purposes, by inserting nozzle of syringe into vagina and depressing syringe plunger.
5
Clip or shear hair on animals.
6
Treat minor injuries and ailments and contact veterinarians to obtain treatment for animals with serious illnesses or injuries.
7
Exercise animals to keep them in healthy condition.
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.
