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 29-1022.00
Perform surgery and related procedures on the hard and soft tissues of the oral and maxillofacial regions to treat diseases, injuries, or defects. May diagnose problems of the oral and maxillofacial regions. May perform surgery to improve function or appearance.
Also called: Doctor of Dental Surgery (DDS) · Oral Surgeon · Oral and Maxillofacial Surgeon (OMS) · Surgeon · Dental Surgeon · Maxillofacial Surgeon
Job family: Healthcare Practitioners and Technical Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-29-1022-00/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.
16th-percentile task overlap — yet about 200 openings a year (+4.1% 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 |
|---|---|---|---|
| Overall AI exposure (Felten et al.) Moderate | 42nd | -0.2 | |
| LLM task exposure, γ (OpenAI / Eloundou) Low | 11th | 0.1 | |
| AI assistant applicability (Microsoft) Low | 4th | 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.
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 0.0 · 1st percentile among occupations · Low
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.
| Collaborate with other professionals, such as restorative dentists and orthodontists, to plan treatment. | 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 · +4.1% by 2034 |
| Projected annual openings | 200 |
| Employment 2024 → 2034 | 6,100 → 6,400 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Dentists · 2261 | 15% | Not exposed |
Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.
All 14 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).
| Medicine and Dentistry | 5.0 | |
| Biology | 4.4 | |
| English Language | 4.4 | |
| Customer and Personal Service | 4.3 | |
| Psychology | 3.8 | |
| Education and Training | 3.5 | |
| Chemistry | 3.4 | |
| Administration and Management | 3.4 | |
| Personnel and Human Resources | 3.4 |
| Arm-Hand Steadiness | 4.3 | |
| Finger Dexterity | 4.1 | |
| Near Vision | 4.1 | |
| Oral Comprehension | 4.0 | |
| Oral Expression | 4.0 | |
| Problem Sensitivity | 4.0 | |
| Deductive Reasoning | 4.0 | |
| Inductive Reasoning | 4.0 | |
| Control Precision | 4.0 | |
| Written Comprehension | 3.9 | |
| Information Ordering | 3.9 | |
| Manual Dexterity | 3.9 | |
| Speech Recognition | 3.8 | |
| Speech Clarity | 3.8 | |
| Written Expression | 3.6 | |
| Selective Attention | 3.6 | |
| Category Flexibility | 3.4 | |
| Flexibility of Closure | 3.4 |
| Complex Problem Solving | 4.1 | |
| Judgment and Decision Making | 4.1 | |
| Social Perceptiveness | 3.8 | |
| Coordination | 3.6 | |
| Time Management | 3.4 |
| Reading Comprehension | 4.0 | |
| Critical Thinking | 4.0 | |
| Active Listening | 3.9 | |
| Speaking | 3.9 | |
| Active Learning | 3.9 | |
| Monitoring | 3.9 | |
| Writing | 3.5 | |
| Science | 3.5 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
| Example | Category | |
|---|---|---|
| Ada | Development environment software | |
| Apteryx Imaging Suite | Graphics or photo imaging software | |
| DecisionBase TiME for OMS | Medical software | |
| DentalEye | Graphics or photo imaging software | |
| Dolphin Imaging & Management Solutions Dolphin Management | Medical software | |
| DSN Software Oral Surgery-Exec | Medical software | |
| Gendex Dental Systems VixWin PRO | Graphics or photo imaging software | |
| Kodak Dental Systems Kodak Cosmetic Imaging Module | Graphics or photo imaging software | |
| Planmeca Oy Dimaxis | Graphics or photo imaging software | |
| Sirona SIDEXIS XG | Graphics or photo imaging software |
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: Dental, Medical, and Veterinary Residency Programs , 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.
| Post-Doctoral Training | 72.2% | |
| Doctoral Degree | 19.8% | |
| First Professional Degree | 8.0% |
The interests and personal qualities O*NET associates with people who do this work.
| Attention to Detail | 10.0 | |
| Integrity | 9.0 | |
| Cautiousness | 8.0 | |
| Intellectual Curiosity | 7.0 | |
| Cooperation | 6.0 | |
| Achievement Orientation | 5.0 | |
| Self-Control | 4.0 | |
| Stress Tolerance | 3.0 | |
| Dependability | 2.9 |
| Health Care Service | 6.7 | |
| Medical Science | 4.6 | |
| Life Science | 4.4 |
| Investigative | 5.8 | |
| Realistic | 5.8 | |
| Social | 4.5 | |
| Conventional | 3.6 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $82,960 |
| 25th percentile | $236,780 |
| Median (50th) | — |
| 75th percentile | — |
| 90th percentile | — |
| People employed | 5,330 |
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 | 5,290 | — |
| Educational Services · Sector | 40 | $71,180 |
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 | 6.62× | 5,290 |
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 Oral and Maxillofacial Surgeons — 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.
On the global GenAI exposure gradient this work sits around the 18th percentile of 427 international occupations.
Oral and Maxillofacial Surgeons show 16th-percentile AI task overlap — and about 200 annual U.S. openings
Oral and Maxillofacial Surgeons show 16th-percentile AI task overlap — and about 200 annual U.S. openings • Oral and Maxillofacial Surgeons rank in the 16th 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 200 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 (+4.1%) from 2024 to 2034. (BLS Employment Projections 2024–34) Source: Singulariki — "Oral and Maxillofacial Surgeons". https://singulariki.com/roles/role-29-1022-00 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. "Oral and Maxillofacial Surgeons." 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; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-29-1022-00
Singulariki. (2026). Oral and Maxillofacial Surgeons. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-29-1022-00
@misc{singulariki-role-29-1022-00,
title = {Oral and Maxillofacial Surgeons},
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; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-29-1022-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.