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 29-1292.00
Administer oral hygiene care to patients. Assess patient oral hygiene problems or needs and maintain health records. Advise patients on oral health maintenance and disease prevention. May provide advanced care such as providing fluoride treatment or administering topical anesthesia.
Also called: Dental Hygienist · Hygienist · Licensed Dental Hygienist · Registered Dental Hygienist (RDH) · Pediatric Dental Hygienist · Dental Nurse · Dental Treatment Coordinator · Oral Hygienist
Job family: Healthcare Practitioners and Technical Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-29-1292-00/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.
21st-percentile task overlap — yet about 15,300 openings a year (+7% 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 | 33rd | 0.3 | |
| AI assistant applicability (Microsoft) Low | 13th | 0.1 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.2), and including AI-powered software (γ 0.3). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
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 clinical services or health education to improve and maintain the oral health of patients or the general public. | 1.0% |
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | Growing fast · +7.0% by 2034 |
| Projected annual openings | 15,300 |
| Employment 2024 → 2034 | 221,600 → 237,200 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
All 18 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 | 4.6 | |
| Customer and Personal Service | 3.9 | |
| Psychology | 3.0 |
| Problem Sensitivity | 3.9 | |
| Arm-Hand Steadiness | 3.9 | |
| Finger Dexterity | 3.9 | |
| Near Vision | 3.9 | |
| Oral Comprehension | 3.8 | |
| Oral Expression | 3.8 | |
| Manual Dexterity | 3.3 | |
| Speech Recognition | 3.3 | |
| Speech Clarity | 3.3 | |
| Written Comprehension | 3.1 | |
| Inductive Reasoning | 3.1 | |
| Written Expression | 3.0 | |
| Deductive Reasoning | 3.0 | |
| Information Ordering | 3.0 | |
| Category Flexibility | 3.0 | |
| Flexibility of Closure | 3.0 | |
| Perceptual Speed | 3.0 | |
| Selective Attention | 3.0 | |
| Time Sharing | 3.0 | |
| Control Precision | 3.0 | |
| Visual Color Discrimination | 3.0 |
| Active Listening | 3.8 | |
| Speaking | 3.5 | |
| Critical Thinking | 3.5 | |
| Writing | 3.1 | |
| Monitoring | 3.1 | |
| Reading Comprehension | 3.0 | |
| Active Learning | 3.0 |
| Social Perceptiveness | 3.1 | |
| Service Orientation | 3.1 | |
| Coordination | 3.0 | |
| Persuasion | 3.0 | |
| Instructing | 3.0 | |
| Judgment and Decision Making | 3.0 | |
| Time Management | 3.0 | |
| Complex Problem Solving | 2.9 | |
| Operations Monitoring | 2.9 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
| Example | Category | |
|---|---|---|
| Henry Schein Dentrix | Medical software | Hot technology In demand |
| Microsoft Excel | Spreadsheet software | Hot technology |
| Microsoft Office software | Office suite software | Hot technology |
| Microsoft Word | Word processing software | Hot technology |
| Dental billing software | Billing and invoicing software | |
| Dental charting software | Medical software | |
| Dental clinical records software | Medical software | |
| Dental digital radiology software | Medical software | |
| Dental imaging software | Medical software | |
| Dental intra-oral imaging software | Medical software | |
| Dental office management software | Medical software | |
| Email software | Electronic mail software | |
| Open Dental | Medical software | |
| Patterson Dental Supply Patterson EagleSoft | Medical software | |
| Scheduling software | Calendar and scheduling software | |
| Voice-activated perio charting software | Medical software | |
| Web browser software | Internet browser 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: 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) | 75.2% | |
| First Professional Degree | 12.7% | |
| Post-Baccalaureate Certificate | 9.0% | |
| Bachelor's Degree | 3.1% |
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 |
| Health Care Service | 6.4 | |
| Personal Service | 3.6 | |
| Teaching/Education | 3.6 | |
| Social Service | 3.3 | |
| Life Science | 3.2 | |
| Medical Science | 3.1 | |
| Professional Advising | 2.6 |
| Social | 5.3 | |
| Realistic | 5.3 | |
| Investigative | 4.5 | |
| Conventional | 4.3 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $66,470 |
| 25th percentile | $80,060 |
| Median (50th) | $94,260 |
| 75th percentile | $102,920 |
| 90th percentile | $120,060 |
| People employed | 219,070 |
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 | 213,180 | $94,370 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 2,810 | $98,460 |
| Temporary Help Services · National industry | 1,620 | $96,810 |
| Educational Services · Sector | 760 | $79,950 |
| Finance and Insurance · Sector | 70 | $108,960 |
| Direct Health and Medical Insurance Carriers · National industry | 40 | $80,500 |
| Management of Companies and Enterprises · Sector | 40 | $93,770 |
| Manufacturing · Sector | 30 | $89,640 |
| Professional, Scientific, and Technical Services · Sector | — | $87,720 |
| Other Services (except Public Administration) · Sector | — | $84,270 |
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 | 6.49× | 213,180 |
| Temporary Help Services · National industry | 0.43× | 1,620 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 0.22× | 2,810 |
| Educational Services · Sector | 0.04× | 760 |
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 Dental Hygienists — 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.
Dental Hygienists show 21st-percentile AI task overlap — and about 15,300 annual U.S. openings
Dental Hygienists show 21st-percentile AI task overlap — and about 15,300 annual U.S. openings • Dental Hygienists rank in the 21st 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 15,300 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 growing fast (+7%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $94,260, across about 219,070 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Dental Hygienists". https://singulariki.com/roles/role-29-1292-00 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. "Dental Hygienists." 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. Accessed June 7, 2026. https://singulariki.com/roles/role-29-1292-00
Singulariki. (2026). Dental Hygienists. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-29-1292-00
@misc{singulariki-role-29-1292-00,
title = {Dental Hygienists},
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. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-29-1292-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.