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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: 4/23/2026
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.
High
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.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
Veterinary Assistants and Laboratory Animal Caretakers are more resilient to AI impacts than most occupations, according to our analysis of 7 sources.
This career is labeled as "Resilient" because the core tasks, like gently handling and comforting animals, require human empathy and understanding that AI can't replicate. Although technology can help with scheduling and monitoring, it can't replace the trust and care that people provide to animals.
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
This career is labeled as "Resilient" because the core tasks, like gently handling and comforting animals, require human empathy and understanding that AI can't replicate. Although technology can help with scheduling and monitoring, it can't replace the trust and care that people provide to animals.
Read full analysisAnalysis of Current AI Resilience
Vet Asst & Lab Animal Carer
Updated Quarterly • Last Update: 2/17/2026

Today, most hands-on work by veterinary assistants is still done by people. Some routine tasks get a tech boost. For example, pet stores often use self-checkout kiosks so customers can buy food and supplies without a cashier [1].
There are even new “AI dog wash” machines: one news report describes a salon where a machine uses cameras and sensors to wash and dry dogs safely [2]. In research labs, cameras and computer programs can watch animals after surgery and alert staff if an animal’s breathing or movement changes [3] [3]. Clinics also try apps that transcribe notes or schedule appointments, which helps with record-keeping [3].
These tools show that computers and machines can help with sales, simple cleaning or data entry.
Many other tasks still need a caring person. O*NET notes assistants “clip animals’ claws” and bathe pets as core duties [4] [4] – tasks that robots can’t really do today. Sterilizing equipment is done by machines (like autoclaves), but staff must load and monitor them.
In short, if a task involves gentle animal handling or judgment, it’s mostly manual. Pet owners and vets trust people to comfort animals, and current tech can’t replace that. So far AI is more of a helper than a replacement for most duties.

Adoption of AI in this field is cautious. One reason is cost and availability. Few off-the-shelf robots or AI devices exist for pet care, and high-tech machines cost a lot compared to hiring staff.
For small clinics, buying a fancy grooming robot or monitoring system may not be worth it. On the other hand, clinics do face staffing shortages [5], which makes smart tools attractive. In practice, some tools are slowly spreading.
For instance, self-service checkouts free up staff to help customers who need face-to-face advice [1]. Also, any pet-care AI must be very safe: the new dog-wash machine is described as having many safety sensors and cameras [2] so owners feel secure. In the end, people skills – like comforting a nervous cat or understanding animal behavior – remain crucial.
AI can speed up scheduling or alerts, but human care and trust are still at the heart of this job [5] [2].

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They help care for animals by feeding them, cleaning their spaces, and assisting vets with treatments to keep the animals healthy and happy.
Median Wage
$37,320
Jobs (2024)
117,800
Growth (2024-34)
+8.7%
Annual Openings
22,200
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
Perform routine laboratory tests or diagnostic tests, such as taking or developing x-rays.
Record information relating to animal genealogy, feeding schedules, appearance, behavior, or breeding.
Perform office reception duties, such as scheduling appointments or helping customers.
Provide emergency first aid to sick or injured animals.
Prepare feed for animals according to specific instructions, such as diet lists or schedules.
Perform accounting duties, such as bookkeeping, billing customers for services, or maintaining inventories.
Write reports, maintain research information, or perform clerical duties.
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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