Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →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
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-29-9093-00/context.md directly.
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.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
3rd-percentile task overlap — yet about 1,600 openings a year (+5.1% projected, BLS) . What exposure means →
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.
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.
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.
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.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Medicine and Dentistry | 4.2 | |
| Customer and Personal Service | 4.0 | |
| English Language | 3.6 | |
| Biology | 3.4 | |
| Education and Training | 3.4 |
| 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 |
| 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 |
| 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 employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
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.
What to study: Health Professions and Related Programs . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
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% |
The interests and personal qualities O*NET associates with people who do this work.
| 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 |
| Health Care Service | 6.2 | |
| Medical Science | 3.2 | |
| Physical/Manual Labor | 3.1 | |
| Life Science | 2.3 |
| Realistic | 5.7 | |
| Conventional | 4.4 | |
| Social | 3.8 | |
| Investigative | 3.5 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $39,540 |
| 25th percentile | $49,140 |
| Median (50th) | $60,290 |
| 75th percentile | $80,860 |
| 90th percentile | $102,390 |
| People employed | 22,860 |
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 |
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.
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for Surgical Assistants — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
See where this work sits in the bigger picture.
Surgical Assistants show 3rd-percentile AI task overlap — and about 1,600 annual U.S. openings
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.
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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.
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.
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
Singulariki. (2026). Surgical Assistants. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-29-9093-00
@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.