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Surgical Assistants

Occupation · SOC 29-9093.00

Assist in operations, under the supervision of surgeons. May, in accordance with state laws, help surgeons to make incisions and close surgical sites, manipulate or remove tissues, implant surgical devices or drains, suction the surgical site, place catheters, clamp or cauterize vessels or tissue, and apply dressings to surgical site.

Also called: Certified Surgical First Assistant (CSFA) · Registered Nurse First Assistant (RNFA) · Surgical First Assistant · Surgical Technician (Surgical Tech) · Certified First Assistant (CFA) · Certified Registered Nurse First Assistant (CRNFA) · Certified Surgical Assistant (CSA) · Certified Surgical Technician · Gastrointestinal Technician (GI Technician) · Surgical Scrub Technician (Surgical Scrub Tech) · Certified Nursing Assistant (CNA) · Clinical Assistant

Job family: Healthcare Practitioners and Technical Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-29-9093-00/context.md directly.

AI work map

A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.

3rd-percentile task overlap — yet about 1,600 openings a year (+5.1% projected, BLS) . What exposure means →

AI & job outlook

What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.

Exposure to current AI

Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.

Measure Rank vs all occupations Percentile Score
LLM task exposure, γ (OpenAI / Eloundou) Low 11th 0.1
AI assistant applicability (Microsoft) Low 2nd 0.0

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.0), and including AI-powered software (γ 0.1). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

Outlook About average · +5.1% by 2034
Projected annual openings 1,600
Employment 2024 → 2034 25,300 → 26,600

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

Tasks

All 28 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Knowledge

Medicine and Dentistry 4.2
Customer and Personal Service 4.0
English Language 3.6
Biology 3.4
Education and Training 3.4

Abilities

Oral Comprehension 4.1
Arm-Hand Steadiness 4.0
Finger Dexterity 4.0
Near Vision 4.0
Oral Expression 3.9
Problem Sensitivity 3.9
Speech Clarity 3.9
Written Comprehension 3.8
Visual Color Discrimination 3.8
Speech Recognition 3.8
Information Ordering 3.6
Control Precision 3.6
Deductive Reasoning 3.5
Inductive Reasoning 3.5
Selective Attention 3.5
Manual Dexterity 3.5
Perceptual Speed 3.4
Multilimb Coordination 3.4
Written Expression 3.3
Flexibility of Closure 3.3
Hearing Sensitivity 3.3
Category Flexibility 3.1

Essential skills

Active Listening 4.0
Speaking 3.8
Reading Comprehension 3.6
Critical Thinking 3.6
Monitoring 3.6
Writing 3.1
Learning Strategies 3.1

Transferable skills

Coordination 3.4
Service Orientation 3.4
Complex Problem Solving 3.3
Operations Monitoring 3.3
Social Perceptiveness 3.1
Judgment and Decision Making 3.1

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Tools & technology

Example Category
MEDITECH software Medical software Hot technology
Microsoft Excel Spreadsheet software Hot technology
Microsoft Office software Office suite software Hot technology
Microsoft PowerPoint Presentation software Hot technology
Electronic medical record EMR software Medical software
Nursing documentation software Medical software
Patient scheduling software Medical software
Patient tracking software Medical software
Supply documentation software Medical software
Surgery workflow communication software Medical software

Work context

How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.

Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 5.0
Indoors, Environmentally Controlled 4.9
Physical Proximity 4.9
Contact With Others 4.8
Work With or Contribute to a Work Group or Team 4.7
Importance of Being Exact or Accurate 4.6
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 4.5
Exposed to Disease or Infections 4.5
Face-to-Face Discussions with Individuals and Within Teams 4.4
Spend Time Standing 4.3
Consequence of Error 4.3
Coordinate or Lead Others in Accomplishing Work Activities 4.3
E-Mail 4.2
Determine Tasks, Priorities and Goals 4.1
Deal With External Customers or the Public in General 4.0
Health and Safety of Other Workers 4.0
Work Outcomes and Results of Other Workers 4.0
Exposed to Hazardous Conditions 3.8
Exposed to Contaminants 3.7
Telephone Conversations 3.7
Importance of Repeating Same Tasks 3.7
Frequency of Decision Making 3.6
Wear Specialized Protective or Safety Equipment such as Breathing Apparatus, Safety Harness, Full Protection Suits, or Radiation Protection 3.6
Exposed to Radiation 3.5
Freedom to Make Decisions 3.5
Impact of Decisions on Co-workers or Company Results 3.5
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 3.4
Conflict Situations 3.3
Time Pressure 3.3
Dealing With Unpleasant, Angry, or Discourteous People 3.1
Exposed to Cramped Work Space, Awkward Positions 3.1
Level of Competition 3.0
Spend Time Making Repetitive Motions 3.0
Spend Time Bending or Twisting Your Body 2.9
Exposed to Hazardous Equipment 2.8
Exposed to Extremely Bright or Inadequate Lighting Conditions 2.7
Written Letters and Memos 2.7
Spend Time Walking or Running 2.6
Exposed to Minor Burns, Cuts, Bites, or Stings 2.3
Degree of Automation 2.0

How to get in

Job zone
Zone 3 — Job Zone Three: Medium Preparation Needed
Education
Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree.
Typical entry-level education
Postsecondary nondegree award · BLS, the typical path — not a requirement
Related experience
Previous work-related skill, knowledge, or experience is required for these occupations. For example, an electrician must have completed three or four years of apprenticeship or several years of vocational training, and often must have passed a licensing exam, in order to perform the job.
Preparation level
SVP (6.0 to < 7.0) — total schooling plus on-the-job experience.

What to study: Health Professions and Related Programs . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.

Education of current workers

Share of people in this occupation at each level of education.

Associate's Degree (or other 2-year degree) 25.0%
Post-Baccalaureate Certificate 16.1%
Post-Secondary Certificate 15.4%
High School Diploma 13.2%
Some College Courses 10.6%
Bachelor's Degree 7.8%
Master's Degree 7.7%
Post-Doctoral Training 4.3%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Work styles

Dependability 8.0
Attention to Detail 7.0
Integrity 6.0
Cautiousness 5.0
Cooperation 4.0
Self-Control 3.0
Stress Tolerance 2.5

Interest areas

Health Care Service 6.2
Medical Science 3.2
Physical/Manual Labor 3.1
Life Science 2.3

Career interests (Holland / RIASEC)

Realistic 5.7
Conventional 4.4
Social 3.8
Investigative 3.5

Wages & employment

U.S. · annual wages (BLS OEWS)

$40k10th$49k25th$60kMedian$81k75th$102k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
25k202427k2034 (proj.)+5.1% · About average
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $39,540
25th percentile $49,140
Median (50th) $60,290
75th percentile $80,860
90th percentile $102,390
People employed 22,860

Industries that employ this occupation

Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.

Industry Workers National median pay
Health Care and Social Assistance · Sector 22,280 $60,290
Administrative and Support and Waste Management and Remediation Services · Sector 290 $86,290
Temporary Help Services · National industry 180 $86,290
Educational Services · Sector 110 $56,460
Professional, Scientific, and Technical Services · Sector $37,870

Where this work is most concentrated

Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).

Industry Concentration Workers
Health Care and Social Assistance · Sector 6.5× 22,280
Temporary Help Services · National industry 0.46× 180
Administrative and Support and Waste Management and Remediation Services · Sector 0.22× 290
Educational Services · Sector 0.05× 110

Part of the Healthcare & Human Services career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Surgical Assistants sits at the 3rd percentile of AI task-overlap and the 46th percentile of median pay, placed here against 10 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Surgical Assistants Nursing Assistants Surgical Technologists Respiratory Therapists Anesthesiologist Assistants Ophthalmic Medical Technicians Cardiovascular Technologists and Technicians AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

Options the data surfaces for Surgical Assistants — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Write a report on thisheadline · factoids · citation

Surgical Assistants show 3rd-percentile AI task overlap — and about 1,600 annual U.S. openings

  • Surgical Assistants rank in the 3rd percentile (Low band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
  • The occupation is projected to see about 1,600 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
  • BLS projects employment to be about average (+5.1%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $60,290, across about 22,860 U.S. workers.BLS OEWS (May 2024)
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Surgical Assistants show 3rd-percentile AI task overlap — and about 1,600 annual U.S. openings

• Surgical Assistants rank in the 3rd percentile (Low band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE)
• The occupation is projected to see about 1,600 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34)
• BLS projects employment to be about average (+5.1%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $60,290, across about 22,860 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Surgical Assistants". https://singulariki.com/roles/role-29-9093-00
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 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Surgical Assistants." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/roles/role-29-9093-00

APA

Singulariki. (2026). Surgical Assistants. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-29-9093-00

BibTeX
@misc{singulariki-role-29-9093-00,
  title  = {Surgical Assistants},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-29-9093-00}
}

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

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