Somewhat Resilient
Last Update: 8/30/2026
AI Resilience Score for Animal Control Workers:
46.4%
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%).
Med
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 Control Workers
$45,660 median salary•1,500 annual openings•SOC Code: 33-9011.00
Animal Control Workers are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Animal control work is labeled "Somewhat Resilient" because AI is already changing parts of the job in meaningful ways, like using facial recognition to reunite lost pets with their owners and using predictive tools to figure out where animal issues are most likely to pop up. These software tools are being adopted quickly, and they are shifting some of the paperwork and planning tasks away from officers.
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Animal control work is labeled "Somewhat Resilient" because AI is already changing parts of the job in meaningful ways, like using facial recognition to reunite lost pets with their owners and using predictive tools to figure out where animal issues are most likely to pop up. These software tools are being adopted quickly, and they are shifting some of the paperwork and planning tasks away from officers.
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Animal Control Workers
Updated Quarterly
How is AI changing Animal Control Workers jobs?
Right now, AI in animal control is mostly used to help officers, not replace them. The most visible example is facial recognition for lost pets. Pinellas County Animal Services in Florida began using Petco Love Lost, a free national lost and found database that uses AI facial recognition to reunite families with missing pets faster than ever before, described by the director as "Google for lost and found pets".
The system scans photos for unique characteristics like different-colored eyes or a brown spot by the ear, and Pinellas County's return rate rose from about 40% to 50% after adoption. Similar rollouts happened in LaGrange, Georgia in February 2026 [1] and across the entire state of Delaware in August 2026 [2]. On the paperwork side, the National Animal Care & Control Association explains that AI can quickly process large datasets, forecast areas with higher probabilities of animal control issues for proactive deployment, and power chatbots and virtual assistants that provide 24/7 public support answering common questions about policies and services [3].
The hands-on parts of the job — capturing scared or aggressive animals, lifting them into cages, and euthanasia — still need a human because they require physical skill, judgment, and emotional care.
Sources
How fast is AI adoption growing for Animal Control Workers?
Adoption is happening pretty fast on the software side and much slower in the field. The overall AI-in-animal-health market was valued at $1.8B in 2025 and is projected to grow to $7.0B by 2033 at a CAGR of 18.9% [4], which means more tools are becoming commercially available every month. Cost is a small barrier because platforms like Petco Love Lost are offered free to shelters and departments, making it easy for even small-town animal services to try.
However, NACA cautions that AI systems can unintentionally perpetuate biases in their training data, handling sensitive data requires stringent privacy and security measures, and proper training is necessary so officers understand the capabilities and limitations of the technology [3] — so ethical and legal concerns will slow deeper deployment. Because animal control is publicly funded, physically demanding, and deals with living beings, agencies are more likely to use AI to cut paperwork so officers can spend more time in the community than to shrink their teams. If you're worried about this career, the good news is that your empathy, hands-on skills, and ability to make careful judgment calls are exactly the things AI can't do.
Sources
Will AI replace Animal Control Workers?
Not entirely. We think AI will take over some tasks, but not the whole job.
Our 46.4% AI Resilience Score reflects that this career faces real change, but not replacement. The clearest example of what's shifting is administrative work. AI tools can now scan photos to match lost pets with their owners, forecast where animal control issues are likely to occur, and run chatbots that answer public questions around the clock [3]. Pinellas County, Florida saw its pet return rate climb from about 40% to 50% after adopting AI-powered facial recognition, and similar programs have since launched in LaGrange, Georgia [1] and statewide in Delaware [2].
What stays human is the core of the job: approaching a frightened or aggressive animal, making a split-second judgment call, and handling euthanasia with care and dignity. No software can do that. The broader AI-in-animal-health market is growing fast [4], which means more tools are coming, but publicly funded agencies are far more likely to use them to cut paperwork than to cut staff.
We believe the animal control workers who learn to use these tools alongside their hands-on skills will be in the strongest position. The job is evolving, not disappearing.
Sources
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Latest AI news for Animal Control Workers
These articles highlight how AI is reshaping the role of Animal Control Workers, emphasizing the importance of adaptability and skill development. For instance, AI can optimize dispatch routes and use predictive analytics to identify animal cruelty hotspots, enhancing operational efficiency. Additionally, understanding AI's integration into everyday tasks can empower future workers to leverage technology for better outcomes. By embracing these advancements, students can build resilience in their careers, ensuring they remain valuable contributors in a changing landscape.
Will AI Replace Animal Control Workers? Risk, Tasks & Timeline
canaireplacemyjob.com • 9/20/2026
Explore the 16% modeled AI task exposure for Animal Control Workers, the 6–10+ years impact window, tasks AI can assist, and human strengths that remain ...
How Will Artificial Intelligence Change Jobs In Animal ...
animalhealthjobs.com • 9/20/2026
May 1, 2025 — AI-powered language models will soon become part of everyday life in animal health companies. Using them successfully will require people with ... Read more
Transforming the Role of Animal Control Officers through AI
www.nacanet.org • 9/20/2026
Aug 12, 2024 — Integrating AI into the daily tasks of animal control officers can significantly enhance their efficiency, accuracy, and overall impact. Read more
Will AI Replace Animal Control Worker Jobs?
jobzonerisk.com • 9/20/2026
Animal control workers will use AI-powered dispatch optimisation to route calls more efficiently, predictive analytics to identify animal cruelty hotspots
Oracle Layoffs Reflect AI’s Impact On Jobs—Loan And Relief Options If You’re Affected
www.forbes.com • 4/1/2026
On March 31, thousands of Oracle employees received the dreaded layoff email as the company turns its focus toward artificial intelligence...
More Career Info
Career: Animal Control Workers
They ensure the safety of people and animals by capturing stray animals, investigating animal mistreatment, and promoting responsible pet ownership.
Parent Careers
Employment & Wage Data
Median Wage
$45,660
Jobs (2025)
13,800
Growth (2025-35)
+4.0%
Annual Openings
1,500
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
Remove captured animals from animal-control service vehicles and place animals in shelter cages or other enclosures.
2
Euthanize rabid, unclaimed, or severely injured animals.
3
Capture and remove stray, uncontrolled, or abused animals from undesirable conditions, using nets, nooses, or tranquilizer darts as necessary.
4
Supply animals with food, water, and personal care.
5
Train police officers in dog handling and training techniques for tracking, crowd control, and narcotics and bomb detection.
6
Clean facilities and equipment such as dog pens and animal control trucks.
7
Examine animals for injuries or malnutrition, and arrange for any necessary medical treatment.
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.
