Medium AI Risk Average

Orthodontists

SOC Code: 29-1023

Orthodontists carries a 24% AI exposure score (Medium automation risk) and +4.4% projected employment growth from 2024 to 2034 (BLS), affecting approximately 5,900 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
24% Medium

Proportion of tasks susceptible to AI automation (O*NET analysis)

Projected Growth
+4.4%
2024–2034 (BLS)
+300 jobs
Median Annual Wage
N/A
BLS May 2024
How wage figures are sourced →

AI Exposure vs Industry Growth

Workforce demand by occupation Sanctioned bespoke signature viz (@signature-viz, KIZ-799) showing occupation-level workforce demand from BLS OEWS data. Pure SVG, no external dependencies.Projected Growth 2024-2034 (BLS)Technology+12.8%Healthcare+10.2%Professional+7.8%Education+5.8%Construction+4.5%Finance+4.6%Logistics+3.2%Government+1.2%Manufacturing-2.1%Retail-3.4%
National AI Exposure
40%
Average across all occupations
Avg Wage Growth
+3.2%
Median annual wage change
High-Risk Roles
127
Occupations with >70% AI exposure

Total occupations tracked

832

Covering all SOC major groups

Data currency

2024

BLS Employment Projections

AI exposure avg

40%

Fleet-wide median across all roles

Methodology confidence 92.0%
Industry standard

Composite score weighing O*NET task data completeness, BLS projection methodology, and cross-validation with employer risk grades.

Employment Projections

5,900
Employment 2024
6,200
Projected 2034
+4.4%
Change (%)
+300
Change (jobs)

Occupation Insight

Orthodontists (SOC 29-1023) carries an AI exposure score of 24%, placing it in the Medium automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.

The economic context matters alongside the risk score. BLS counted approximately 5,900 workers in this occupation in 2024, and projects a +4.4% change through 2034 — modest growth that keeps the occupation viable even as tasks evolve. Entry typically requires Doctoral or professional degree, plus None of related experience.

For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Orthodontists. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.

Education & Entry Requirements

Typical Education
Doctoral or professional degree
Work Experience
None
On-the-Job Training
Internship/residency

Top Tasks (O*NET)

  1. 1. Diagnose teeth and jaw or other dental-facial abnormalities.
  2. 2. Examine patients to assess abnormalities of jaw development, tooth position, and other dental-facial structures.
  3. 3. 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.
  4. 4. Fit dental appliances in patients' mouths to alter the position and relationship of teeth and jaws or to realign teeth.
  5. 5. Adjust dental appliances to produce and maintain normal function.
  6. 6. Provide patients with proposed treatment plans and cost estimates.
  7. 7. Advise patients to comply with treatment plans.
  8. 8. Prepare diagnostic and treatment records.
  9. 9. Instruct dental officers and technical assistants in orthodontic procedures and techniques.
  10. 10. Coordinate orthodontic services with other dental and medical services.

Key Skills Required

  • Active Listening
  • Speaking
  • Critical Thinking
  • Monitoring
  • Complex Problem Solving
  • Reading Comprehension
  • Social Perceptiveness
  • Coordination
  • Active Learning
  • Judgment and Decision Making

Knowledge Areas

  • Medicine and Dentistry
  • Customer and Personal Service
  • English Language
  • Biology
  • Computers and Electronics
  • Mathematics
  • Administration and Management
  • Education and Training
  • Physics
  • Engineering and Technology

Frequently Asked Questions

Will AI replace Orthodontists?

Orthodontists has an AI exposure score of 24%, indicating a medium level of automation risk. The majority of tasks in this role require human judgment, creativity, or physical presence that AI cannot easily replicate.

What is the job outlook for Orthodontists?

According to BLS Employment Projections 2024-2034, Orthodontists is projected to grow by 4.4% over the decade. Current employment stands at approximately 5,900 workers.

What skills are needed for Orthodontists?

Key skills for Orthodontists include Active Listening, Speaking, Critical Thinking, and others. Typical entry-level education is Doctoral or professional degree.

How much do Orthodontists earn?

Wage data for Orthodontists varies by region, experience, and employer. The Bureau of Labor Statistics publishes median wage estimates in its Occupational Employment and Wage Statistics program.

What education is required for Orthodontists?

The typical entry-level education for Orthodontists is Doctoral or professional degree. Employers generally expect None of related work experience. On-the-job training typically involves Internship/residency. Requirements can vary by employer and specialization.

Which companies employ Orthodontists?

Orthodontists roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.

AI Exposure Rating

1.2
out of 5.0

Medium automation risk based on 10 analyzed tasks. Most tasks require human judgment and are resistant to automation.

Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).

Related

Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainWorkforce Editorial