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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.
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Last Update: 5/19/2026
Your role’s AI Resilience Score is
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%).
High
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
Animal Caretakers are more resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Animal Caretaking is Resilient because the heart of the job — physically caring for animals, comforting a scared dog, grooming, feeding, and building trust with creatures that depend on you — requires empathy, dexterity, and calm judgment that AI simply can't replicate. While AI is stepping in to handle the routine stuff like scheduling, answering customer questions, and monitoring animals overnight through smart cameras, those tools are designed to *support* caretakers, not replace them.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is resilient
Animal Caretaking is Resilient because the heart of the job — physically caring for animals, comforting a scared dog, grooming, feeding, and building trust with creatures that depend on you — requires empathy, dexterity, and calm judgment that AI simply can't replicate. While AI is stepping in to handle the routine stuff like scheduling, answering customer questions, and monitoring animals overnight through smart cameras, those tools are designed to *support* caretakers, not replace them.
Read full analysisAnalysis of Current AI Resilience
Animal Caretakers
Updated Quarterly • Last Update: 5/14/2026

Right now, AI is mostly augmenting animal caretakers rather than replacing them — and the hands-on parts of the job (bathing, brushing, feeding by hand, comforting a scared dog) are still very much human work. Where AI is showing up most is in the "around-the-animal" tasks: scheduling, customer questions, and health monitoring. At CES 2026, Pet Age reported on an "AI Ecosystem for Everyday Pet Care" [1] featuring AI-camera litter boxes, water fountains with pet facial recognition, and robotic feeders that automatically track each animal's hydration, eating, and bathroom habits and flag early warning signs to owners and vets.
In shelters and field work, the National Animal Care & Control Association explains that AI tools handle data analysis, predictive deployment, and 24/7 chatbots [2] that answer common public questions about animals and policies — exactly the kind of phone-and-info tasks listed as highly automatable. A peer-reviewed review in Zoo Biology found AI is now widely used in zoos for individual animal ID, movement tracking, and behavior monitoring [3], helping keepers spot welfare problems sooner. For sick animals, the AVMA notes AI radiology software from eight vendors is already embedded in clinics [4], but every report carries a "Ready for review" watermark so a human stays in charge.

Adoption is moving quickly on the software side but slowly on the physical care side. Cheap smart cameras, scheduling apps, and chatbots are commercially available and pay for themselves fast for small businesses. But the U.S. Bureau of Labor Statistics still projects animal care and service jobs to grow 11% from 2024 to 2034 — much faster than average — with about 81,700 openings each year [5], because grooming, walking, and comforting animals require empathy, dexterity, and judgment that robots can't match.
Public trust is another brake: the NACA warns that AI can carry hidden bias, raise privacy concerns, and needs careful training before officers rely on it [2], and the AVMA is building a Task Force on Emerging Technologies because clinics want clear ethical guidelines first. So if you love working with animals, the realistic picture is hopeful: AI will likely take over the boring stuff — answering calls, sorting paperwork, watching cameras overnight — while the kind, patient, observant human caring for the animal becomes even more valuable.

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They look after animals by feeding them, keeping their living spaces clean, and ensuring they are healthy and happy.
Median Wage
$33,470
Jobs (2024)
392,100
Growth (2024-34)
+12.1%
Annual Openings
74,600
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Sell pet food and supplies.
Clean and disinfect surgical equipment.
Order, unload, and store feed and supplies.
Perform animal grooming duties such as washing, brushing, clipping, and trimming coats, cutting nails, and cleaning ears.
Transfer animals between enclosures to facilitate breeding, birthing, shipping, or rearrangement of exhibits.
Find homes for stray or unwanted animals.
Install, maintain, and repair animal care facility equipment such as infrared lights, feeding devices, and cages.
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.

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