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 29-2055.00
Assist in operations, under the supervision of surgeons, registered nurses, or other surgical personnel. May help set up operating room, prepare and transport patients for surgery, adjust lights and equipment, pass instruments and other supplies to surgeons and surgeons' assistants, hold retractors, cut sutures, and help count sponges, needles, supplies, and instruments.
Also called: Certified Surgical Technologist (CST) · Operating Room Technician (OR Tech) · Surgical Technician · Surgical Technologist (Surgical Tech) · Certified Surgical Technician · Operating Room Surgical Technician (OR St) · Operating Room Technologist (OR Tech) · Surgical Scrub Technician · Surgical Scrub Technologist (Surgical Scrub Tech) · Cardiovascular Operating Room Technologist (CVOR Technologist) · Operating Room Surgical Technologist · Scrub Technician
Job family: Healthcare Practitioners and Technical Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-29-2055-00/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.
15th-percentile task overlap — yet about 7,000 openings a year (+4.5% 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 |
|---|---|---|---|
| Overall AI exposure (Felten et al.) Moderate | 36th | -0.5 | |
| LLM task exposure, γ (OpenAI / Eloundou) Low | 14th | 0.1 | |
| AI assistant applicability (Microsoft) Low | 5th | 0.0 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.1), 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.
This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.
A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.
Frey–Osborne probability 0.3 · 40th percentile among occupations · Moderate
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Provide technical assistance to surgeons, surgical nurses, or anesthesiologists. | 0.2% |
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +4.5% by 2034 |
| Projected annual openings | 7,000 |
| Employment 2024 → 2034 | 115,600 → 120,800 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
All 16 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
Newer responsibilities O*NET has flagged as growing for this occupation.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Oral Comprehension | 4.0 | |
| Problem Sensitivity | 3.8 | |
| Near Vision | 3.8 | |
| Speech Recognition | 3.6 | |
| Arm-Hand Steadiness | 3.5 | |
| Selective Attention | 3.4 | |
| Manual Dexterity | 3.4 | |
| Oral Expression | 3.3 | |
| Information Ordering | 3.3 | |
| Perceptual Speed | 3.3 | |
| Number Facility | 3.1 | |
| Flexibility of Closure | 3.1 | |
| Visual Color Discrimination | 3.1 | |
| Speech Clarity | 3.1 | |
| Written Comprehension | 3.0 | |
| Written Expression | 3.0 | |
| Deductive Reasoning | 3.0 | |
| Inductive Reasoning | 3.0 |
| Monitoring | 3.8 | |
| Active Listening | 3.4 | |
| Speaking | 3.1 | |
| Critical Thinking | 3.1 | |
| Reading Comprehension | 3.0 | |
| Active Learning | 3.0 | |
| Learning Strategies | 3.0 |
| Customer and Personal Service | 3.7 | |
| Medicine and Dentistry | 3.7 | |
| English Language | 3.5 | |
| Education and Training | 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) | 40.6% | |
| Post-Secondary Certificate | 31.2% | |
| Some College Courses | 23.2% | |
| High School Diploma | 5.0% |
The interests and personal qualities O*NET associates with people who do this work.
| Dependability | 7.0 | |
| Attention to Detail | 6.0 | |
| Integrity | 5.0 | |
| Cautiousness | 4.0 | |
| Cooperation | 3.0 | |
| Self-Control | 2.5 | |
| Stress Tolerance | 2.4 |
| Health Care Service | 6.3 | |
| Physical/Manual Labor | 2.8 | |
| Medical Science | 2.7 | |
| Mechanics/Electronics | 2.1 |
| Realistic | 6.3 | |
| Conventional | 4.8 | |
| Social | 3.8 | |
| Investigative | 3.2 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $43,290 |
| 25th percentile | $51,740 |
| Median (50th) | $62,830 |
| 75th percentile | $77,140 |
| 90th percentile | $90,700 |
| People employed | 113,890 |
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 | 108,170 | $62,840 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 4,550 | $61,040 |
| Temporary Help Services · National industry | 3,830 | $60,590 |
| Educational Services · Sector | 450 | $70,690 |
| Management of Companies and Enterprises · Sector | 210 | $51,180 |
| Offices of Optometrists · National industry | 180 | $45,730 |
| Other Services (except Public Administration) · Sector | 40 | $54,180 |
| Manufacturing · Sector | — | $78,880 |
| Professional, Scientific, and Technical Services · Sector | — | $81,330 |
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 | 6.34× | 108,170 |
| Temporary Help Services · National industry | 1.96× | 3,830 |
| Offices of Optometrists · National industry | 1.6× | 180 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 0.68× | 4,550 |
| Management of Companies and Enterprises · Sector | 0.1× | 210 |
| Educational Services · Sector | 0.04× | 450 |
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 Technologists — 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 Technologists show 15th-percentile AI task overlap — and about 7,000 annual U.S. openings
Surgical Technologists show 15th-percentile AI task overlap — and about 7,000 annual U.S. openings • Surgical Technologists rank in the 15th 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 7,000 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 (+4.5%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $62,830, across about 113,890 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Surgical Technologists". https://singulariki.com/roles/role-29-2055-00 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.
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 Technologists." 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; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-29-2055-00
Singulariki. (2026). Surgical Technologists. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-29-2055-00
@misc{singulariki-role-29-2055-00,
title = {Surgical Technologists},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-29-2055-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.