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Ambulance Services

National industry · NAICS 621910

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Ambulance Services is a U.S. industry in the NAICS classification. The Bureau of Labor Statistics estimates about 164,340 workers across 86 detailed occupations in it. A typical worker earns around $48,799 a year (Singulariki estimate, see below).

This industry comprises establishments primarily engaged in providing transportation of patients by ground or air, along with medical care. These services are often provided during a medical emergency but are not restricted to emergencies. The vehicles are equipped with lifesaving equipment operated by medically trained personnel. Cross-References.

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 Low band — 13th 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 78 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 18.7% of employment · 52/82 occupations have AEI task data
Augmentation vs. automation 44.7% working with AI · 35.1% handed to AI
Most common pattern Directive · AI does it; you give the instruction
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 22.4%
Direct or provide home health services. Registered Nurses Learning 8.0%
Educate patients and family members about mental health and medical conditions, preventive health measures, medications, or treatment plans. Registered Nurses Learning 5.5%
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 5.3%
Use computers for various applications, such as database management or word processing. Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Directive 4.0%
Conduct searches to find needed information, using such sources as the Internet. Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Directive 3.7%
Develop or maintain internal or external company Web sites. Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Directive 2.8%
Teach patient education programs that include information required to make informed health care and treatment decisions. Registered Nurses Directive 2.2%
Develop instructional materials and conduct in-service and community-based educational programs. Medical and Health Services Managers Iteration 1.5%
Prepare reports to document patients' care activities. Registered Nurses Directive 1.3%
Present clients with information required to make informed health care and treatment decisions. Registered Nurses Learning 1.1%
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 1.1%

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
Public Safety Telecommunicators 5,570 3.4% Directive
Registered Nurses 4,310 2.6% Learning
General and Operations Managers 2,660 1.6% Iteration
Billing and Posting Clerks 2,500 1.5% Directive
Medical and Health Services Managers 2,050 1.3% Iteration
First-Line Supervisors of Office and Administrative Support Workers 1,460 0.9% Iteration
Customer Service Representatives 1,230 0.8% Directive
Training and Development Specialists 1,130 0.7% Directive
Office Clerks, General 1,000 0.6% Feedback loop
Automotive Service Technicians and Mechanics 940 0.6% Learning
Dispatchers, Except Police, Fire, and Ambulance 930 0.6% Learning
Secretaries and Administrative Assistants, Except Legal, Medical, and Executive 800 0.5% 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 26.5% of this industry's employment that maps to a detailed occupation with an O*NET skill profile.

Skills

Skill Employment reach Workers
Active Listening 26.4% 43,310
Speaking 26.2% 43,090
Critical Thinking 26.1% 42,880
Monitoring 25.4% 41,700
Reading Comprehension 24.4% 40,080
Social Perceptiveness 22.4% 36,810
Service Orientation 21.8% 35,780
Judgment and Decision Making 21.2% 34,790
Active Learning 19.8% 32,470
Writing 19.1% 31,400
Complex Problem Solving 17.1% 28,170
Instructing 17.1% 28,180

Knowledge areas

Knowledge area Employment reach Workers
English Language 25.7% 42,250
Customer and Personal Service 24.9% 40,930
Administration and Management 23.6% 38,790
Education and Training 16.5% 27,110
Public Safety and Security 16.2% 26,690
Administrative 14.9% 24,420
Computers and Electronics 13.8% 22,730
Mathematics 12.8% 20,980
Law and Government 11.9% 19,480
Personnel and Human Resources 10.7% 17,650
Psychology 9.7% 15,920
Medicine and Dentistry 9.1% 14,990

Abilities

Abilitie Employment reach Workers
Near Vision 26.5% 43,490
Oral Comprehension 26.4% 43,370
Oral Expression 26.4% 43,370
Problem Sensitivity 26.3% 43,140
Information Ordering 26.2% 43,000
Deductive Reasoning 26.0% 42,680
Inductive Reasoning 25.9% 42,570
Speech Recognition 25.8% 42,340
Speech Clarity 25.5% 41,930
Written Comprehension 25.0% 41,060
Category Flexibility 23.9% 39,240
Written Expression 19.5% 32,120

Tool categories

Tool category Employment reach Workers
Spreadsheet software 99.6% 163,630
Office suite software 99.5% 163,580
Word processing software 98.4% 161,670
Presentation software 92.5% 151,990
Medical software 86.0% 141,280
Information retrieval or search software 84.9% 139,550
Electronic mail software 49.4% 81,250
Operating system software 41.7% 68,470
Object or component oriented development software 29.4% 48,350
Data base user interface and query software 21.7% 35,630
Internet browser software 20.7% 34,050
Enterprise resource planning ERP software 20.0% 32,800
Document management software 18.1% 29,810
Project management software 14.6% 23,940
Analytical or scientific software 12.2% 20,110

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 Ambulance Services. Overlap measures shared tasks with AI, not automation. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Ambulance Drivers and Attendants, Except Emergency Medical Technicians Firefighters Maintenance and Repair Workers, General Aircraft Mechanics and Service Technicians Automotive Service Technicians and Mechanics Emergency Medical Technicians Licensed Practical and Licensed Vocational Nurses Stockers and Order Fillers Administrative Services Managers Registered Nurses First-Line Supervisors of Mechanics, Installers, and Repairers Managers, All Other Medical and Health Services Managers Emergency Management Directors Transportation, Storage, and Distribution Managers Production, Planning, and Expediting Clerks Billing and Posting Clerks Computer User Support Specialists First-Line Supervisors of Office and Administrative Support Workers Medical Secretaries and Administrative Assistants Public Safety Telecommunicators Human Resources Specialists Dispatchers, Except Police, Fire, and Ambulance 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
Emergency Medical Technicians 80,250 48.8% $39,190
Paramedics 39,390 24.0% $57,720
Ambulance Drivers and Attendants, Except Emergency Medical Technicians 7,620 4.6% $33,430
Public Safety Telecommunicators 5,570 3.4% $43,740
Registered Nurses 4,310 2.6% $88,640
General and Operations Managers 2,660 1.6% $99,010
Billing and Posting Clerks 2,500 1.5% $43,360
Medical and Health Services Managers 2,050 1.2% $89,700
Aircraft Mechanics and Service Technicians 1,670 1.0% $84,280
Shuttle Drivers and Chauffeurs 1,640 1.0% $36,170
First-Line Supervisors of Office and Administrative Support Workers 1,460 0.9% $64,020
Customer Service Representatives 1,230 0.7% $36,800
Training and Development Specialists 1,130 0.7% $61,170
Office Clerks, General 1,000 0.6% $44,930
Automotive Service Technicians and Mechanics 940 0.6% $52,630
Dispatchers, Except Police, Fire, and Ambulance 930 0.6% $44,710
Secretaries and Administrative Assistants, Except Legal, Medical, and Executive 800 0.5% $44,140
Bookkeeping, Accounting, and Auditing Clerks 570 0.3% $47,020
Human Resources Specialists 410 0.2% $61,520
Bus and Truck Mechanics and Diesel Engine Specialists 410 0.2% $58,060
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors 370 0.2% $67,130
Managers, All Other 350 0.2% $95,850
Business Operations Specialists, All Other 350 0.2% $66,270
Firefighters 330 0.2% $42,430
Accountants and Auditors 290 0.2% $77,660
Maintenance and Repair Workers, General 290 0.2% $60,440
Production, Planning, and Expediting Clerks 280 0.2% $50,670
Stockers and Order Fillers 280 0.2% $38,740
First-Line Supervisors of Mechanics, Installers, and Repairers 260 0.2% $97,110
Licensed Practical and Licensed Vocational Nurses 250 0.2% $50,600
Sales Representatives of Services, Except Advertising, Insurance, Financial Services, and Travel 250 0.2% $38,780
Medical Secretaries and Administrative Assistants 240 0.1% $45,440
Administrative Services Managers 220 0.1% $97,260
Market Research Analysts and Marketing Specialists 200 0.1% $74,240
Financial Managers 170 0.1% $160,520
Compliance Officers 170 0.1% $56,170
Transportation, Storage, and Distribution Managers 160 0.1% $112,180
Payroll and Timekeeping Clerks 160 0.1% $47,990
Computer User Support Specialists 150 0.1% $64,930
Emergency Management Directors 120 0.1% $74,560

Showing the top 40 of 86 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
Ambulance Drivers and Attendants, Except Emergency Medical Technicians 591.82× 7,620
Emergency Medical Technicians 423.04× 80,250
Paramedics 371.31× 39,390
Public Safety Telecommunicators 51.67× 5,570
Aircraft Mechanics and Service Technicians 11.49× 1,670
Emergency Management Directors 8.96× 120
Shuttle Drivers and Chauffeurs 6.7× 1,640
Billing and Posting Clerks 5.62× 2,500
Dispatchers, Except Police, Fire, and Ambulance 4.14× 930
Medical and Health Services Managers 3.4× 2,050
Training and Development Specialists 2.43× 1,130
Orderlies 2.12× 120
Bus and Truck Mechanics and Diesel Engine Specialists 1.34× 410
Automotive Service Technicians and Mechanics 1.28× 940
Registered Nurses 1.23× 4,310
Payroll and Timekeeping Clerks 0.96× 160
Firefighters 0.93× 330
First-Line Supervisors of Office and Administrative Support Workers 0.92× 1,460
Administrative Services Managers 0.81× 220
Occupational Health and Safety Specialists 0.8× 110
Write a report on thisheadline · factoids · citation

The Ambulance Services workforce sits at the 13th percentile of AI task overlap — 164,340 U.S. workers

  • Weighting every occupation by its real share of Ambulance Services employment, the industry's workforce ranks in the 13th percentile (Low 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 164,340 U.S. workers across 86 occupations.BLS OEWS (May 2024)
  • Employment-weighted typical annual pay is about $48,799.BLS OEWS (May 2024)
  • Of AI use observed across this industry's occupations, 45% looks like augmentation rather than automation — from a Claude.ai sample, not a census.Anthropic Economic Index
Copy the whole kit
The Ambulance Services workforce sits at the 13th percentile of AI task overlap — 164,340 U.S. workers

• Weighting every occupation by its real share of Ambulance Services employment, the industry's workforce ranks in the 13th percentile (Low 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 164,340 U.S. workers across 86 occupations. (BLS OEWS (May 2024))
• Employment-weighted typical annual pay is about $48,799. (BLS OEWS (May 2024))
• Of AI use observed across this industry's occupations, 45% looks like augmentation rather than automation — from a Claude.ai sample, not a census. (Anthropic Economic Index)

Source: Singulariki — "Ambulance Services". https://singulariki.com/industries/621910
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. "Ambulance 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/621910

APA

Singulariki. (2026). Ambulance Services. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/industries/621910

BibTeX 
@misc{singulariki-621910,
  title  = {Ambulance 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/621910}
}

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