SOC 31-9096

Veterinary Assistants and Laboratory Animal Caretakers AI displacement risk

Restraining animals, cleaning kennels, preparing surgical rooms, and assisting procedures is physical animal-handling work. Clinic software manages records; the animal in the exam room needs calm, skilled human hands.

Exposure24

Share and intensity of work current AI systems can materially affect.

Automation10%

Likely potential for exposed tasks to move to software after workflow integration.

Risk bandLow

Pet-care demand keeps climbing and clinics cannot hire enough support staff. Nothing in this role's daily work — restraint, hygiene, patient comfort — is software-addressable; it is a common entry point into credentialed vet-tech careers.

Distribution

Where Veterinary Assistants and Laboratory Animal Caretakers sits across 620 tracked roles

Veterinary Assistants and Laboratory Animal Caretakers · 14050100

Displacement pressure 14 — higher than 8% of the 620 occupations tracked on displacement.ai.

Score version

This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-15. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.

28 O*NET task statements matched to SOC 31-9096. The displayed task profile combines these official task statements with the current public score model.

Median wage context: $38,150 (May 2025, US national). The latest BLS row matched SOC 31-9096.

Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.

2030 economic stress test

How Anthropic's scenarios classify Veterinary Assistants and Laboratory Animal Caretakers

SOC 31-9096 places this role in the paper's all-other occupation group. These group-level outcomes do not change the 14/100 role score and are not an occupation forecast.

Modest change

+1.1% group wage

Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.

Economy-wide: +1.6% GDP and 3.9% unemployment.

Substantial change

+5.9% group wage

Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.

Economy-wide: +8.3% GDP and 4.6% unemployment.

Extreme change

+33.6% group wage

Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.

Economy-wide: +32.4% GDP and 11.9% unemployment.

Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.

Official task evidence

O*NET task matches for Veterinary Assistants and Laboratory Animal Caretakers

The current evidence import matched 28 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.

Dataset31.0 (August 2026)
Matched tasks28
SOC31-9096
  • Core task / ID 4312

    Hold or restrain animals during veterinary procedures.

  • Core task / ID 4306

    Monitor animals recovering from surgery and notify veterinarians of any unusual changes or symptoms.

  • Core task / ID 4314

    Fill medication prescriptions.

  • Core task / ID 4311

    Clean and maintain kennels, animal holding areas, examination or operating rooms, or animal loading or unloading facilities to control the spread of disease.

  • Core task / ID 4316

    Examine animals to detect behavioral changes or clinical symptoms that could indicate illness or injury.

  • Core task / ID 4313

    Perform routine laboratory tests or diagnostic tests, such as taking or developing x-rays.

Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.

Task profile

Where AI changes the work

physical

Restrain animals during procedures

Exposure 12, automation 3%, augmentation 22%.

O*NET evidence: Hold or restrain animals during veterinary procedures. (ID 4312)

physical

Clean kennels and treatment areas

Exposure 16, automation 7%, augmentation 20%.

O*NET evidence: Clean and maintain kennels, animal holding areas, examination or operating rooms, or an... (ID 4311)

physical

Assist veterinarians with exams and surgery

Exposure 18, automation 6%, augmentation 34%.

O*NET evidence: Monitor animals recovering from surgery and notify veterinarians of any unusual changes... (ID 4306)

information

Schedule appointments and record information

Exposure 50, automation 28%, augmentation 54%.

O*NET evidence: Perform office reception duties, such as scheduling appointments or helping customers. (ID 4327)

TaskExposureAutomationAugmentation
Restrain animals during procedures123%22%
Clean kennels and treatment areas167%20%
Assist veterinarians with exams and surgery186%34%
Schedule appointments and record information5028%54%

Transition pathways

Adjacent moves that preserve existing skills

credentialed transition

Veterinary Technician

Training horizon: 18-24 months. Skill overlap 72. Wage preservation signal 124.

  • Complete a vet-tech program
  • Build clinical procedure skills
  • Pass credentialing exams
Low
role redesign

Practice Supervisor

Training horizon: 2-5 months. Skill overlap 62. Wage preservation signal 118.

  • Manage support staff schedules
  • Own supply and sanitation standards
  • Track patient flow
Low

Comparison guides

Compare the next move before you commit

What the AI risk score means for Veterinary Assistants and Laboratory Animal Caretakers

The displacement pressure score for Veterinary Assistants and Laboratory Animal Caretakers is 14. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.

For this role, the clearest risk pattern is visible at the task level. Schedule appointments and record information carries 28% automation pressure, while Schedule appointments and record information carries 54% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.

Labor-market context and wage risk

Median wage: $38,150 (May 2025, US national). Employment context: Animal clinic support role with strong pet-care demand. Typical education: High school diploma plus on-the-job training.

Wage vulnerability is 72, while transition feasibility is 64. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.

  • Very low displacement pressure
  • Clinic staffing demand is strong
  • Physical animal care resists automation

Upskilling priorities

Skills that make this role more resilient

The safest upskilling plan starts with skills already close to the work. For Veterinary Assistants and Laboratory Animal Caretakers, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.

Priority 1

Animal handling

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 2

Clinical support

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 3

Safety procedures

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 4

Customer service

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

90-day transition plan

The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.

  1. In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
  2. By 60 days, complete one small project connected to Veterinary Technician, such as complete a vet-tech program.
  3. By 90 days, compare internal openings and external postings for Veterinary Technician or Practice Supervisor and update your resume around measurable workflow outcomes.

FAQ

Questions about AI and Veterinary Assistants and Laboratory Animal Caretakers

Will AI replace Veterinary Assistants and Laboratory Animal Caretakers?

Restraining animals, cleaning kennels, preparing surgical rooms, and assisting procedures is physical animal-handling work. Clinic software manages records; the animal in the exam room needs calm, skilled human hands. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.

Which parts of Veterinary Assistants and Laboratory Animal Caretakers work are most exposed to AI?

Schedule appointments and record information and Clean kennels and treatment areas show the strongest automation pressure in this model. Schedule appointments and record information and Assist veterinarians with exams and surgery are better treated as AI-augmented work.

What should Veterinary Assistants and Laboratory Animal Caretakers learn next?

Start with Animal handling, Clinical support, Safety procedures. The most practical adjacent paths in this model are Veterinary Technician and Practice Supervisor.

How should this score be used?

Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.

Sources

Evidence trail