Skip to content
Singulariki

Offices of Chiropractors

National industry · NAICS 621310

Take this to your AI
Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /industries/621310/context.md directly.

Offices of Chiropractors is a U.S. industry in the NAICS classification. The Bureau of Labor Statistics estimates about 145,870 workers across 60 detailed occupations in it. A typical worker earns around $52,242 a year (Singulariki estimate, see below).

This industry comprises establishments of health practitioners having the degree of D.C. (Doctor of Chiropractic) primarily engaged in the independent practice of chiropractic. These practitioners provide diagnostic and therapeutic treatment of neuromusculoskeletal and related disorders through the manipulation and adjustment of the spinal column and extremities, and operate private or group practices in their own offices (e.g., centers, clinics) or in the facilities of others, such as hospitals or HMO medical centers.

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 — 65th 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 47 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 97.8% of employment · 34/47 occupations have AEI task data
Augmentation vs. automation 48.3% working with AI · 27.1% handed to AI
Most common pattern Learning · you ask AI to explain or teach
Typical AI autonomy 3.4 / 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 55.2%
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 5.1%
Use computers for various applications, such as database management or word processing. Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Directive 4.1%
Conduct searches to find needed information, using such sources as the Internet. Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Directive 3.8%
Process and prepare memos, correspondence, travel vouchers, or other documents. Receptionists and Information Clerks Iteration 3.1%
Develop or maintain internal or external company Web sites. Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Directive 2.8%
Explain treatment procedures, medications, diets, or physicians' instructions to patients. Medical Assistants Learning 2.7%
Process and prepare documents, such as business or government forms and expense reports. Office Clerks, General Directive 2.2%
Complete work schedules, manage calendars, and arrange appointments. Office Clerks, General Directive 1.3%
Prepare correspondence or assist physicians or medical scientists with preparation of reports, speeches, articles, or conference proceedings. Medical Secretaries and Administrative Assistants Iteration 1.2%
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 1.0%
Schedule appointments and maintain and update appointment calendars. Receptionists and Information Clerks Directive 1.0%

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
Chiropractors 35,150 24.1% Learning
Medical Assistants 26,830 18.4% Learning
Receptionists and Information Clerks 18,300 12.6% Directive
Medical Secretaries and Administrative Assistants 16,310 11.2% Iteration
Office Clerks, General 11,000 7.5% Feedback loop
Massage Therapists 10,990 7.5% Learning
First-Line Supervisors of Office and Administrative Support Workers 6,310 4.3% Iteration
Billing and Posting Clerks 4,310 2.9% Directive
Secretaries and Administrative Assistants, Except Legal, Medical, and Executive 3,610 2.5% Directive
Bookkeeping, Accounting, and Auditing Clerks 1,690 1.2% Directive
Physical Therapists 1,030 0.7% Learning
General and Operations Managers 950 0.7% Iteration

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 99.8% of this industry's employment that maps to a detailed occupation with an O*NET skill profile.

Skills

Skill Employment reach Workers
Active Listening 99.8% 145,560
Speaking 99.7% 145,450
Reading Comprehension 99.5% 145,070
Critical Thinking 99.4% 145,010
Writing 99.0% 144,480
Social Perceptiveness 95.2% 138,830
Service Orientation 94.5% 137,900
Coordination 87.1% 126,980
Monitoring 79.4% 115,820
Time Management 79.0% 115,230
Complex Problem Solving 71.8% 104,700
Judgment and Decision Making 63.4% 92,520

Knowledge areas

Knowledge area Employment reach Workers
English Language 99.5% 145,070
Customer and Personal Service 99.4% 144,940
Administrative 89.3% 130,320
Computers and Electronics 81.9% 119,540
Medicine and Dentistry 65.0% 94,880
Administration and Management 57.7% 84,160
Education and Training 47.2% 68,780
Therapy and Counseling 45.5% 66,380
Personnel and Human Resources 40.8% 59,580
Psychology 36.4% 53,120
Biology 34.5% 50,290
Sales and Marketing 32.6% 47,620

Abilities

Abilitie Employment reach Workers
Near Vision 99.8% 145,560
Oral Comprehension 99.8% 145,560
Oral Expression 99.8% 145,560
Speech Clarity 99.5% 145,070
Speech Recognition 99.5% 145,120
Written Comprehension 99.5% 145,070
Written Expression 99.3% 144,870
Problem Sensitivity 87.2% 127,150
Inductive Reasoning 86.8% 126,600
Deductive Reasoning 86.7% 126,540
Information Ordering 79.3% 115,610
Category Flexibility 79.2% 115,560

Tool categories

Tool category Employment reach Workers
Spreadsheet software 100.0% 145,870
Word processing software 99.9% 145,760
Medical software 98.6% 143,880
Electronic mail software 92.5% 134,880
Office suite software 92.5% 134,880
Calendar and scheduling software 91.4% 133,300
Billing and invoicing software 80.0% 116,680
Data base user interface and query software 66.8% 97,400
Presentation software 66.8% 97,480
Internet browser software 66.0% 96,240
Operating system software 65.5% 95,480
Accounting software 64.8% 94,540
Document management software 53.7% 78,290
Enterprise resource planning ERP software 46.2% 67,450
Cloud-based data access and sharing software 42.2% 61,550

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

Exposure quadrant: AI task-overlap percentile vs Median pay AI task-overlap (horizontal) versus median pay (vertical), each as a percentile across all scored occupations, for 39 occupations in Offices of Chiropractors. Overlap measures shared tasks with AI, not automation. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Massage Therapists Nursing Assistants Exercise Trainers and Group Fitness Instructors Janitors and Cleaners, Except Maids and Housekeeping Cleaners Acupuncturists Maintenance and Repair Workers, General Physical Therapist Assistants Medical Assistants Physician Assistants Radiologic Technologists and Technicians Occupational Therapists Health Technologists and Technicians, All Other General and Operations Managers Family Medicine Physicians Medical and Health Services Managers File Clerks Business Operations Specialists, All Other Receptionists and Information Clerks Billing and Posting Clerks First-Line Supervisors of Office and Administrative Support Workers Human Resources Specialists Bill and Account Collectors AI task-overlap percentile → ↑ Median pay
The largest occupations in this industry with both an AI task-overlap score and a wage, plotted by task-overlap percentile (horizontal) and median-pay percentile (vertical). Overlap measures shared tasks with AI, not automation.

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).

Occupation Workers Share National median pay
Chiropractors 35,150 24.1% $78,280
Medical Assistants 26,830 18.4% $36,360
Receptionists and Information Clerks 18,300 12.5% $37,130
Medical Secretaries and Administrative Assistants 16,310 11.2% $37,830
Office Clerks, General 11,000 7.5% $38,240
Massage Therapists 10,990 7.5% $66,710
First-Line Supervisors of Office and Administrative Support Workers 6,310 4.3% $48,770
Billing and Posting Clerks 4,310 3.0% $43,980
Secretaries and Administrative Assistants, Except Legal, Medical, and Executive 3,610 2.5% $38,470
Bookkeeping, Accounting, and Auditing Clerks 1,690 1.2% $38,570
Physical Therapists 1,030 0.7% $87,650
General and Operations Managers 950 0.7% $67,170
Market Research Analysts and Marketing Specialists 930 0.6% $40,190
Nurse Practitioners 800 0.5% $149,450
Physical Therapist Assistants 800 0.5% $49,900
Medical and Health Services Managers 640 0.4% $79,630
Insurance Claims and Policy Processing Clerks 520 0.4% $36,550
Janitors and Cleaners, Except Maids and Housekeeping Cleaners 440 0.3% $35,360
Physician Assistants 400 0.3% $135,240
Health Technologists and Technicians, All Other 340 0.2% $33,280
Healthcare Support Workers, All Other 340 0.2% $39,340
Business Operations Specialists, All Other 310 0.2% $43,330
Medical Records Specialists 310 0.2% $43,830
Radiologic Technologists and Technicians 300 0.2% $47,380
Accountants and Auditors 260 0.2% $82,880
Acupuncturists 250 0.2% $69,990
Registered Nurses 240 0.2% $108,560
File Clerks 240 0.2% $37,260
Executive Secretaries and Executive Administrative Assistants 240 0.2% $44,720
Customer Service Representatives 220 0.2% $35,060
Nursing Assistants 210 0.1% $39,740
Exercise Trainers and Group Fitness Instructors 200 0.1% $44,110
Maintenance and Repair Workers, General 180 0.1% $52,720
Bill and Account Collectors 170 0.1% $38,490
Physicians, All Other 140 0.1% $69,880
Therapists, All Other 120 0.1% $27,430
Family Medicine Physicians 110 0.1% —
Occupational Therapists 100 0.1% $94,000
Marketing Managers 80 0.1% $85,080
Human Resources Specialists 80 0.1% $49,830

Showing the top 40 of 60 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).

Occupation Concentration Workers
Chiropractors 987.35× 35,150
Massage Therapists 120.96× 10,990
Medical Assistants 35.74× 26,830
Acupuncturists 31.31× 250
Medical Secretaries and Administrative Assistants 20.75× 16,310
Receptionists and Information Clerks 20.05× 18,300
Billing and Posting Clerks 10.91× 4,310
Physical Therapist Assistants 7.83× 800
Therapists, All Other 6.57× 120
Office Clerks, General 4.63× 11,000
First-Line Supervisors of Office and Administrative Support Workers 4.46× 6,310
Physical Therapists 4.38× 1,030
Healthcare Support Workers, All Other 3.47× 340
File Clerks 3.21× 240
Nurse Practitioners 2.75× 800
Physician Assistants 2.72× 400
Insurance Claims and Policy Processing Clerks 2.4× 520
Secretaries and Administrative Assistants, Except Legal, Medical, and Executive 2.2× 3,610
Health Technologists and Technicians, All Other 2.06× 340
Medical Records Specialists 1.74× 310
Write a report on thisheadline · factoids · citation

The Offices of Chiropractors workforce sits at the 65th percentile of AI task overlap — 145,870 U.S. workers

  • Weighting every occupation by its real share of Offices of Chiropractors employment, the industry's workforce ranks in the 65th 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 145,870 U.S. workers across 60 occupations.BLS OEWS (May 2024)
  • Employment-weighted typical annual pay is about $52,242.BLS OEWS (May 2024)
  • Of AI use observed across this industry's occupations, 48% looks like augmentation rather than automation — from a Claude.ai sample, not a census.Anthropic Economic Index
Copy the whole kit
The Offices of Chiropractors workforce sits at the 65th percentile of AI task overlap — 145,870 U.S. workers

• Weighting every occupation by its real share of Offices of Chiropractors employment, the industry's workforce ranks in the 65th 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 145,870 U.S. workers across 60 occupations. (BLS OEWS (May 2024))
• Employment-weighted typical annual pay is about $52,242. (BLS OEWS (May 2024))
• Of AI use observed across this industry's occupations, 48% looks like augmentation rather than automation — from a Claude.ai sample, not a census. (Anthropic Economic Index)

Source: Singulariki — "Offices of Chiropractors". https://singulariki.com/industries/621310
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.

Data compiled June 3, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Offices of Chiropractors." 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/621310

APA

Singulariki. (2026). Offices of Chiropractors. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/industries/621310

BibTeX 
@misc{singulariki-621310,
  title  = {Offices of Chiropractors},
  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/621310}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.