Use as a copilot
Task areas where people work with AI — iterating, learning, or checking — staying in the loop rather than handing the task off.
- Prepare diagnostic and treatment records. · 0.4%
Orthodontists
Occupation · SOC 29-1023.00
Examine, diagnose, and treat dental malocclusions and oral cavity anomalies. Design and fabricate appliances to realign teeth and jaws to produce and maintain normal function and to improve appearance.
Also called: Orthodontic Dentist · Orthodontic Specialist · Orthodontics Doctor · Orthodontist · Board Certified Orthodontist · Orthodontics and Dentofacial Orthopedics Specialist · Dental Treatment Coordinator · Dentofacial Orthopedics Dentist · Doctor · Invisible Braces Orthodontist · Orthodontic Treatment Coordinator · Pediatric Orthodontist
Job family: Healthcare Practitioners and Technical Occupations
Take this to your AI
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-29-1023-00/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.
Keep a human in the loop
Task areas where a human was still judged necessary in a large share of observed conversations — not a safety ruling, an observed-need signal.
- Prepare diagnostic and treatment records. · 87.2% need a human
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 →Market signal
Independent published positions, read together — not a forecast.
- About average employment outlook (+4.4% by 2034)
- 200 openings/yr
- Moderate AI exposure
- Observed AI use leans augmentation
- Work is mostly on-site (not teleworkable)
- A reversal from 2013 — rated low automation risk then (16th), high AI task-overlap now (54th)
54th-percentile task overlap — yet about 200 openings a year (+4.4% projected, BLS), and observed AI use leans 4872% copilot, not hand-off (AEI) . 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 |
|---|---|---|---|
| Overall AI exposure (Felten et al.) Moderate | 52nd | 0.2 | |
| LLM task exposure, γ (OpenAI / Eloundou) Moderate | 50th | 0.6 | |
| AI assistant applicability (Microsoft) Moderate | 62nd | 0.2 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.3), and including AI-powered software (γ 0.6). 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.
Historical automation estimate (2013)
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 · 16th percentile among occupations · Low
How AI is actually used in this job
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.
| Study diagnostic records, such as medical or dental histories, plaster models of the teeth, photos of a patient's face and teeth, and X-rays, to develop patient treatment plans. | 0.2% | |
| Prepare diagnostic and treatment records. | 0.2% |
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 · +4.4% by 2034 |
| Projected annual openings | 200 |
| Employment 2024 → 2034 | 5,900 → 6,200 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
Where this work sits on the global GenAI gradient
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.
Orthodontists sits at the 18th percentile of 427
occupations on the global GenAI task-exposure gradient
— exposure eased from 2023 to 2025. Each dot is one occupation; the
ringed one is this work. Exposure is task overlap, not automation or jobs lost.
15% mean task exposure (2025)
18th percentile of 427 placed occupations
−6 pts shift 2023 → 2025
| 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.
Working with AI in this job
How people actually apply AI to this occupation's tasks, from Claude.ai (Free and Pro) conversations in the Anthropic Economic Index, 2026-01-15. This is one AI assistant's consumer sample — not all AI, not the whole workforce. Autonomy and the collaboration mix are model-rated estimates; figures below the sample floor are hidden.
| Augmentation vs. automation | 48.7% working with AI · 46.1% handed to AI |
| Most common way people use AI here | Iteration · you and AI go back and forth |
| Typical AI autonomy | 3.0 / 5 · higher = AI acts more independently |
| Used for work (vs. personal / coursework) | 71.8% |
What people delegate to AI
The role's most common tasks in AI conversations, each tagged with how people work with the AI on it. “Usage” is the share of observed conversations, not of the job.
| Task | How | Usage |
|---|---|---|
| Prepare diagnostic and treatment records. | Iteration | 0.4% |
Where a human is still needed
Tasks where the model most often judged that a person remained necessary — a useful read on the current boundary, not a guarantee.
| Prepare diagnostic and treatment records. | 87.2% |
What people most often hand AI here
Example prompts phrased from the tasks people most often delegate to AI in this occupation (Anthropic Economic Index). Each shows the underlying measured task and its share of observed AI use. They are suggested phrasings of real tasks — starting points, not endorsed instructions.
-
Help me prepare diagnostic and treatment records.From: Prepare diagnostic and treatment records. · 0.4% of measured AI use · task iteration
Tasks
All 10 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
- Diagnose teeth and jaw or other dental-facial abnormalities. Core · importance 4.9
- Examine patients to assess abnormalities of jaw development, tooth position, and other dental-facial structures. Core · importance 4.9
- Adjust dental appliances to produce and maintain normal function. Core · importance 4.9
- Fit dental appliances in patients' mouths to alter the position and relationship of teeth and jaws or to realign teeth. Core · importance 4.9
- Study diagnostic records, such as medical or dental histories, plaster models of the teeth, photos of a patient's face and teeth, and X-rays, to develop patient treatment plans. Core · importance 4.9
- Provide patients with proposed treatment plans and cost estimates. Core · importance 4.8
- Prepare diagnostic and treatment records. Core · importance 4.8
- Instruct dental officers and technical assistants in orthodontic procedures and techniques. Core · importance 4.8
- Coordinate orthodontic services with other dental and medical services. Core · importance 4.6
- Design and fabricate appliances, such as space maintainers, retainers, and labial and lingual arch wires. Core · importance 4.5
Work activities
- Confer with clients to discuss treatment plans or progress.
- Advise patients on effects of health conditions or treatments.
- Adjust dental devices or appliances to ensure fit.
- Analyze patient data to determine patient needs or treatment goals.
- Diagnose dental conditions.
- Examine mouth, teeth, gums, or related facial structures.
- Record patient medical histories.
- Communicate detailed medical information to patients or family members.
- Train medical providers.
- Collaborate with healthcare professionals to plan or provide treatment.
- Design medical devices or appliances.
- Fabricate medical devices.
Knowledge, skills & abilities
O*NET importance rating, from 1 (not important) to 5 (extremely important).
Knowledge
| Medicine and Dentistry | 5.0 | |
| Customer and Personal Service | 4.3 | |
| English Language | 3.7 | |
| Biology | 3.7 | |
| Computers and Electronics | 3.3 |
Abilities
| Problem Sensitivity | 4.1 | |
| Oral Comprehension | 4.0 | |
| Written Comprehension | 4.0 | |
| Oral Expression | 4.0 | |
| Written Expression | 4.0 | |
| Deductive Reasoning | 4.0 | |
| Inductive Reasoning | 4.0 | |
| Arm-Hand Steadiness | 4.0 | |
| Finger Dexterity | 4.0 | |
| Near Vision | 4.0 | |
| Information Ordering | 3.8 | |
| Manual Dexterity | 3.8 | |
| Speech Recognition | 3.8 | |
| Speech Clarity | 3.8 | |
| Fluency of Ideas | 3.3 | |
| Category Flexibility | 3.3 | |
| Selective Attention | 3.3 | |
| Control Precision | 3.3 |
Essential skills
| Active Listening | 4.0 | |
| Speaking | 4.0 | |
| Critical Thinking | 4.0 | |
| Monitoring | 4.0 | |
| Reading Comprehension | 3.9 | |
| Active Learning | 3.8 | |
| Writing | 3.4 | |
| Science | 3.4 | |
| Learning Strategies | 3.3 |
Transferable skills
| Complex Problem Solving | 4.0 | |
| Social Perceptiveness | 3.9 | |
| Coordination | 3.9 | |
| Judgment and Decision Making | 3.8 | |
| Time Management | 3.8 | |
| Service Orientation | 3.4 | |
| Persuasion | 3.3 | |
| Instructing | 3.3 |
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
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.
How to get in
- Job zone
- Zone 5 — Job Zone Five: Extensive Preparation Needed
- Education
- Most of these occupations require graduate school. For example, they may require a master's degree, and some require a Ph.D., M.D., or J.D. (law degree).
- Typical entry-level education
- Doctoral or professional degree · BLS, the typical path — not a requirement
- Related experience
- Extensive skill, knowledge, and experience are needed for these occupations. Many require more than five years of experience. For example, surgeons must complete four years of college and an additional five to seven years of specialized medical training to be able to do their job.
- Preparation level
- SVP (8.0 and above) — total schooling plus on-the-job experience.
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.
Education of current workers
Share of people in this occupation at each level of education.
| Post-Doctoral Training | 68.9% | |
| Doctoral Degree | 12.1% | |
| Post-Secondary Certificate | 7.7% | |
| First Professional Degree | 7.1% | |
| Bachelor's Degree | 2.7% | |
| High School Diploma | 1.5% |
Interests & work styles
The interests and personal qualities O*NET associates with people who do this work.
Interest areas
| Health Care Service | 6.4 | |
| Medical Science | 4.0 | |
| Engineering | 3.6 | |
| Life Science | 3.3 | |
| Teaching/Education | 2.6 | |
| Mathematics/Statistics | 2.6 | |
| Mechanics/Electronics | 2.5 | |
| Physical Science | 2.2 |
Work styles
| Dependability | 6.0 | |
| Attention to Detail | 5.0 | |
| Integrity | 4.0 | |
| Cautiousness | 3.0 |
Career interests (Holland / RIASEC)
| Investigative | 5.7 | |
| Realistic | 5.6 | |
| Conventional | 4.6 | |
| Social | 4.0 |
Wages & employment
U.S. · annual wages (BLS OEWS)
| 10th percentile | $98,560 |
| 25th percentile | $137,320 |
| Median (50th) | — |
| 75th percentile | — |
| 90th percentile | — |
| People employed | 5,150 |
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 | 5,130 | — |
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 | 6.65× | 5,130 |
Related occupations
Part of the Healthcare & Human Services career cluster.
- Dentists, General · 29-1021.00 Compare →
- Prosthodontists · 29-1024.00 Compare →
- Pediatric Surgeons · 29-1243.00 Compare →
- Oral and Maxillofacial Surgeons · 29-1022.00 Compare →
- Orthopedic Surgeons, Except Pediatric · 29-1242.00 Compare →
- Dental Assistants · 31-9091.00 Compare →
- Ophthalmologists, Except Pediatric · 29-1241.00 Compare →
- Cardiologists · 29-1212.00 Compare →
- Dermatologists · 29-1213.00 Compare →
- Chiropractors · 29-1011.00 Compare →
- Urologists · 29-1229.03 Compare →
- Podiatrists · 29-1081.00 Compare →
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 Orthodontists — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Skills that travel
Capabilities this work builds that are used across many other occupations.
Adjacent roles
Occupations O*NET rates as related — the nearby moves on the map.
Paths in
How people typically prepare for this work.
- Doctoral or professional degree · typical entry level
- Job zone 5 — Job Zone Five: Extensive Preparation Needed · preparation tier
- Dental, Medical, and Veterinary Residency Programs · field of study
- Health Professions and Related Programs · field of study
Zoom out
On the global GenAI exposure gradient this work sits around the 18th percentile of 427 international occupations.
Write a report on thisheadline · factoids · citation
Orthodontists show 54th-percentile AI task overlap — and about 200 annual U.S. openings
- Orthodontists rank in the 54th percentile (Moderate 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 (+4.4%) from 2024 to 2034.BLS Employment Projections 2024–34
- Of the AI use actually observed for this work, 49% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census.2026-01-15-v4-plus-2025-03-27-v2
Copy the whole kit
Orthodontists show 54th-percentile AI task overlap — and about 200 annual U.S. openings • Orthodontists rank in the 54th percentile (Moderate 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 (+4.4%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Of the AI use actually observed for this work, 49% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census. (2026-01-15-v4-plus-2025-03-27-v2) Source: Singulariki — "Orthodontists". https://singulariki.com/roles/role-29-1023-00 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.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Plain
Singulariki. "Orthodontists." 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-29-1023-00
APA
Singulariki. (2026). Orthodontists. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-29-1023-00
BibTeX
@misc{singulariki-role-29-1023-00,
title = {Orthodontists},
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-29-1023-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.