Veterinary Services
National industry · NAICS 541940
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Veterinary Services is a U.S. industry in the NAICS classification. The Bureau of Labor Statistics estimates about 463,780 workers across 73 detailed occupations in it. A typical worker earns around $54,782 a year (Singulariki estimate, see below).
This industry comprises establishments of licensed veterinary practitioners primarily engaged in the practice of veterinary medicine, dentistry, or surgery for animals; and establishments primarily engaged in providing testing services for licensed veterinary practitioners. Illustrative Examples: Animal hospitals Veterinary clinics Veterinarians' offices Veterinary testing laboratories Cross-References. Establishments primarily engaged in--
Employment is national May 2024 OEWS. "Typical pay" is Singulariki's own figure — the employment-weighted average of each occupation's national median wage — a rough center of the industry, not an official BLS number.
How exposed this industry is to AI
Weighting every occupation in this industry by its employment and its unified AI-exposure index (the OpenAI "GPTs are GPTs" human-rated task overlap folded with the Felten/Raj/Seamans AIOE index), this industry sits in the Moderate band — 37th percentile across all industries.
Exposure measures how much of the work overlaps with what today's AI can do, not a prediction of automation; high-exposure industries are where AI is most likely to reshape tasks. Employment-weighted across 60 occupations that carry an exposure score. Compare every industry on the AI exposure hub.
How AI is actually used in this industry
Among measured Claude.ai (Free and Pro) conversations mapped to O*NET task statements (Anthropic Economic Index, 2026-01-15), these patterns are most associated with the occupations in this industry, weighted by its employment mix. They are shares of observed AI conversations — not of worker time, revenue, or what could be automated — and reflect one AI assistant's consumer sample, not all AI.
| Signal coverage | 90.1% of employment · 41/63 occupations have AEI task data |
| Augmentation vs. automation | 50.4% working with AI · 32.6% handed to AI |
| Most common pattern | Learning · you ask AI to explain or teach |
| Typical AI autonomy | 3.6 / 5 · higher = AI acts more independently |
Tasks driving the signal
The task families that account for the most AI activity across this industry's occupations (employment × observed usage), each attributed to the occupation it comes from.
| Task | Occupation | How | Share of signal |
|---|---|---|---|
| Troubleshoot problems involving office equipment, such as computer hardware and software. | Office Clerks, General | Feedback loop | 31.8% |
| Educate or advise clients on animal health care, nutrition, or behavior problems. | Veterinary Assistants and Laboratory Animal Caretakers | Learning | 8.8% |
| Process and prepare memos, correspondence, travel vouchers, or other documents. | Receptionists and Information Clerks | Iteration | 7.4% |
| Advise animal owners regarding sanitary measures, feeding, general care, medical conditions, or treatment options. | Veterinarians | Learning | 7.4% |
| Participate in the work of subordinates to facilitate productivity or to overcome difficult aspects of work. | First-Line Supervisors of Office and Administrative Support Workers | Iteration | 7.2% |
| Provide information or counseling regarding issues such as animal health care, behavior problems, or nutrition. | Veterinary Technologists and Technicians | Learning | 3.1% |
| Use computers for various applications, such as database management or word processing. | Secretaries and Administrative Assistants, Except Legal, Medical, and Executive | Directive | 2.5% |
| Schedule appointments and maintain and update appointment calendars. | Receptionists and Information Clerks | Directive | 2.4% |
| Conduct searches to find needed information, using such sources as the Internet. | Secretaries and Administrative Assistants, Except Legal, Medical, and Executive | Directive | 2.3% |
| Develop or maintain internal or external company Web sites. | Secretaries and Administrative Assistants, Except Legal, Medical, and Executive | Directive | 1.7% |
| Keep records of customer interactions or transactions, recording details of inquiries, complaints, or comments, as well as actions taken. | Customer Service Representatives | Directive | 1.5% |
| Provide employees with guidance in handling difficult or complex problems or in resolving escalated complaints or disputes. | First-Line Supervisors of Office and Administrative Support Workers | Iteration | 1.4% |
Occupations behind the signal
The occupations whose AI-touched tasks contribute most to this industry's signal, by employment here.
| Occupation | Workers | Share | How they use AI |
|---|---|---|---|
| Veterinary Technologists and Technicians | 119,830 | 25.8% | Learning |
| Veterinary Assistants and Laboratory Animal Caretakers | 101,800 | 21.9% | Learning |
| Veterinarians | 72,200 | 15.6% | Learning |
| Receptionists and Information Clerks | 59,110 | 12.8% | Directive |
| Customer Service Representatives | 16,100 | 3.5% | Directive |
| First-Line Supervisors of Office and Administrative Support Workers | 12,260 | 2.6% | Iteration |
| Office Clerks, General | 8,730 | 1.9% | Feedback loop |
| General and Operations Managers | 5,900 | 1.3% | Iteration |
| Bookkeeping, Accounting, and Auditing Clerks | 3,480 | 0.8% | Directive |
| Medical and Health Services Managers | 3,460 | 0.8% | Iteration |
| Medical Secretaries and Administrative Assistants | 3,190 | 0.7% | Iteration |
| Secretaries and Administrative Assistants, Except Legal, Medical, and Executive | 3,040 | 0.7% | Directive |
This rollup is only as complete as the occupation-task matches available for the industry; the coverage figure above is shown so sparse industries do not look falsely precise. AI exposure is not the same as replacement.
Skill & tool metabolism
What this industry's work actually runs on. Each figure is the share of the industry's workers in occupations that significantly rely on a skill, knowledge area, or ability (O*NET importance ≥ 3 of 5), or that use a tool category — its employment reach. This is a measure of how widespread a requirement is across the workforce, not how intensively any one worker uses it. Shares are independent and need not add to 100%.
Based on 99.7% of this industry's employment that maps to a detailed occupation with an O*NET skill profile.
Skills
| Skill | Employment reach | Workers |
|---|---|---|
| Active Listening | 99.6% | 462,000 |
| Reading Comprehension | 98.9% | 458,470 |
| Service Orientation | 97.3% | 451,160 |
| Coordination | 94.3% | 437,550 |
| Speaking | 91.3% | 423,480 |
| Critical Thinking | 90.6% | 420,340 |
| Writing | 89.9% | 417,080 |
| Social Perceptiveness | 89.0% | 412,950 |
| Monitoring | 84.3% | 390,890 |
| Time Management | 77.8% | 360,830 |
| Judgment and Decision Making | 57.1% | 264,980 |
| Complex Problem Solving | 52.3% | 242,700 |
Knowledge areas
| Knowledge area | Employment reach | Workers |
|---|---|---|
| English Language | 99.0% | 459,200 |
| Customer and Personal Service | 98.4% | 456,310 |
| Medicine and Dentistry | 64.9% | 301,020 |
| Biology | 63.5% | 294,450 |
| Administrative | 56.5% | 262,080 |
| Mathematics | 49.1% | 227,660 |
| Computers and Electronics | 45.3% | 209,950 |
| Chemistry | 41.5% | 192,290 |
| Administration and Management | 29.2% | 135,450 |
| Personnel and Human Resources | 21.6% | 100,320 |
| Education and Training | 17.1% | 79,500 |
| Psychology | 16.8% | 77,880 |
Abilities
| Abilitie | Employment reach | Workers |
|---|---|---|
| Near Vision | 99.7% | 462,340 |
| Oral Comprehension | 99.6% | 462,080 |
| Oral Expression | 99.6% | 462,080 |
| Speech Clarity | 98.9% | 458,550 |
| Speech Recognition | 98.9% | 458,810 |
| Written Comprehension | 90.7% | 420,420 |
| Written Expression | 90.6% | 420,230 |
| Problem Sensitivity | 86.9% | 403,020 |
| Deductive Reasoning | 86.2% | 399,570 |
| Inductive Reasoning | 86.2% | 399,570 |
| Information Ordering | 86.2% | 399,700 |
| Selective Attention | 83.5% | 387,160 |
Tool categories
| Tool category | Employment reach | Workers |
|---|---|---|
| Electronic mail software | 99.7% | 462,260 |
| Office suite software | 99.7% | 462,410 |
| Spreadsheet software | 99.7% | 462,560 |
| Word processing software | 99.6% | 462,120 |
| Presentation software | 98.9% | 458,550 |
| Data base user interface and query software | 98.8% | 458,150 |
| Medical software | 89.4% | 414,720 |
| Internet browser software | 68.2% | 316,500 |
| Calendar and scheduling software | 50.7% | 234,980 |
| Document management software | 41.3% | 191,530 |
| Cloud-based data access and sharing software | 26.7% | 123,700 |
| Operating system software | 26.7% | 124,050 |
| Accounting software | 26.1% | 121,270 |
| Desktop publishing software | 26.1% | 120,980 |
| Customer relationship management CRM software | 25.5% | 118,050 |
Reach = share of industry employment in occupations where the requirement is significant; it is not a per-worker usage or proficiency measure. Skill, knowledge, and ability importance is from O*NET; tool use is reported presence of a technology category.
Largest occupations
The occupations that employ the most people in this industry, with their share of the industry's workforce and national median pay for the occupation (not industry-specific pay).
Showing the top 40 of 73 occupations by employment.
Most distinctive occupations
The occupations most unusually concentrated in this industry compared with the economy as a whole. The location quotient is how many times more common an occupation is here versus its economy-wide share (a value of 5 means five times as concentrated).
Write a report on thisheadline · factoids · citation
The Veterinary Services workforce sits at the 37th percentile of AI task overlap — 463,780 U.S. workers
- Weighting every occupation by its real share of Veterinary Services employment, the industry's workforce ranks in the 37th percentile (Moderate band) for AI task overlap — overlap with what AI can attempt, not a measure of jobs at risk.Eloundou et al. + Felten AIOE, weighted by BLS OEWS
- The industry employs about 463,780 U.S. workers across 73 occupations.BLS OEWS (May 2024)
- Employment-weighted typical annual pay is about $54,782.BLS OEWS (May 2024)
- Of AI use observed across this industry's occupations, 50% looks like augmentation rather than automation — from a Claude.ai sample, not a census.Anthropic Economic Index
The Veterinary Services workforce sits at the 37th percentile of AI task overlap — 463,780 U.S. workers • Weighting every occupation by its real share of Veterinary Services employment, the industry's workforce ranks in the 37th percentile (Moderate band) for AI task overlap — overlap with what AI can attempt, not a measure of jobs at risk. (Eloundou et al. + Felten AIOE, weighted by BLS OEWS) • The industry employs about 463,780 U.S. workers across 73 occupations. (BLS OEWS (May 2024)) • Employment-weighted typical annual pay is about $54,782. (BLS OEWS (May 2024)) • Of AI use observed across this industry's occupations, 50% looks like augmentation rather than automation — from a Claude.ai sample, not a census. (Anthropic Economic Index) Source: Singulariki — "Veterinary Services". https://singulariki.com/industries/541940 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- Census NAICS 2022 U.S. Census Bureau
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
Data compiled June 3, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Veterinary Services." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; Census NAICS 2022; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026. https://singulariki.com/industries/541940
Singulariki. (2026). Veterinary Services. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/industries/541940
@misc{singulariki-541940,
title = {Veterinary Services},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; Census NAICS 2022; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026},
url = {https://singulariki.com/industries/541940}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.