Dermatologists
SOC Code: 29-1213
Dermatologists carries a 25% AI exposure score (Medium automation risk) and +6.4% projected employment growth from 2024 to 2034 (BLS), affecting approximately 10,900 workers. Full task breakdown, skills, and employer data are below.
Proportion of tasks susceptible to AI automation (O*NET analysis)
At 25% AI exposure, Dermatologists sits 12 points below the 37.2% average across 832 U.S. occupations - more exposed than 15% of them. Most of its core tasks still require human judgment.
Career outlook score
85/100
Dermatologists, weighted across 2 of 3 tracked dimensions
A weighted composite of median wage, projected growth, and AI-automation security (inverted exposure), each benchmarked against every other tracked occupation. It describes this occupation's standing across those three dimensions, not a guarantee of future outcomes.
- Median wage N/A N/A
Annual median wage, percentile rank vs all tracked occupations
- Projected growth A +6.4%
Projected employment change, 2024-2034, BLS Employment Projections
- AI exposure (inverted) A 25% exposure
Lower O*NET task-automability scores lower risk; this dimension scores security, not exposure
Home health and personal care aides is #1 of 832 occupations by employment (4.3M, AI exposure rank #392 at 35%) vs. Bookkeeping, accounting, and auditing clerks #1 by AI task exposure (95%, employment rank #17 at 1.6M).
Automation-risk inventory
Exclusive cut of 832 occupations by PlainWorkforce automation-risk band. Orthogonal to the continuous AI-exposure distribution chart below and to this occupation's single risk badge, this is the corpus band mix, with Dermatologists in the Medium band.
Credential × growth standing
Graduate credential among the thinner entry shelves
Dermatologists is in the Graduate band (113 of 832) with BLS pace Average (378/832). Graduate entry is a minority shelf - pairing it with average growth is the standing that separates this SOC from bachelor-dominated neighbors.
Where Dermatologists sits among all occupations
AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.
Where Dermatologists sits by AI exposure
AI-exposure score distribution across U.S. occupations (O*NET task analysis)
25% Among the lowest lower than 85% of 832 occupations
Occupations, banded by AI-exposure score
Each bar is a band; taller bars hold more occupations. The dashed line + filled bar mark this entry. Hover or tap any bar for its full count and share, and where it sits relative to this entry.
Source O*NET task data (U.S. Department of Labor) · BLS 2024–2034
Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.
Dermatologists vs. its occupational neighbors
AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Dermatologists is marked in rose; the top-left corner is the most future-proof.
Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).
Employment Projections
Where This Score Comes From
Dermatologists's Medium automation-risk tier is computed from O*NET Database 30.0 task-level analysis, where each documented task the 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 employment, wage, and education figures above come from a second, separate federal source: BLS Employment Projections 2024–2034, matched to the O*NET task data by Standard Occupational Classification (SOC 29-1213) code. BLS figures are presented exactly as published, with no adjustment on our part; the SOC-code match is what lets Dermatologists be compared directly against every other tracked occupation on the same basis, not just roles that happen to share a job title.
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 Dermatologists. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure.
Education & Entry Requirements
Top Tasks (O*NET)
- 1. Conduct complete skin examinations.
- 2. Diagnose and treat pigmented lesions such as common acquired nevi, congenital nevi, dysplastic nevi, Spitz nevi, blue nevi, or melanoma.
- 3. Perform incisional biopsies to diagnose melanoma.
- 4. Perform skin surgery to improve appearance, make early diagnoses, or control diseases such as skin cancer.
- 5. Counsel patients on topics such as the need for annual dermatologic screenings, sun protection, skin cancer awareness, or skin and lymph node self-examinations.
- 6. Diagnose and treat skin conditions such as acne, dandruff, athlete's foot, moles, psoriasis, or skin cancer.
- 7. Record patients' health histories.
- 8. Recommend diagnostic tests based on patients' histories and physical examination findings.
- 9. Prescribe hormonal agents or topical treatments such as contraceptives, spironolactone, antiandrogens, oral corticosteroids, retinoids, benzoyl peroxide, or antibiotics.
- 10. Conduct or order diagnostic tests such as chest radiographs (x-rays), microbiologic tests, or endocrinologic tests.
Key Skills Required
- Critical Thinking
- Active Listening
- Service Orientation
- Reading Comprehension
- Speaking
- Social Perceptiveness
- Active Learning
- Judgment and Decision Making
- Science
- Writing
Knowledge Areas
- Medicine and Dentistry
- Customer and Personal Service
- English Language
- Administration and Management
- Education and Training
- Biology
- Personnel and Human Resources
- Psychology
- Computers and Electronics
- Therapy and Counseling
Frequently Asked Questions
Will AI replace Dermatologists?
Dermatologists has an AI exposure score of 25%, 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 Dermatologists?
According to BLS Employment Projections 2024-2034, Dermatologists is projected to grow by 6.4% over the decade. Current employment stands at approximately 10,900 workers.
What skills are needed for Dermatologists?
Key skills for Dermatologists include Critical Thinking, Active Listening, Service Orientation, and others. Typical entry-level education is Doctoral or professional degree.
How much do Dermatologists earn?
Wage data for Dermatologists 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 Dermatologists?
The typical entry-level education for Dermatologists 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 Dermatologists?
Dermatologists 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
Medium automation risk based on 10 analyzed tasks. Most tasks require human judgment and are resistant to automation.
Nationwide occupations with similar workforce profiles
Two data-derived peer sets for Dermatologists: AI-exposure neighbors and BLS 2034 growth neighbors (distinct comparison neighborhoods, cross-occupation).
Similar AI exposure score
Nearest O*NET task-automability scores nationwide (25% here).
- Exercise trainers and group fitness instructors · AI exposure 25%
- Firefighters · AI exposure 25%
- Funeral attendants · AI exposure 25%
- Helpers--pipelayers, plumbers, pipefitters, and steamfitters · AI exposure 25%
Similar projected growth (2024–2034)
Nearest BLS employment change rates nationwide (+6.4% here).
- Cartographers and photogrammetrists · growth +6.4%
- Coaches and scouts · growth +6.4%
- Dental assistants · growth +6.4%
- Food preparation and serving related workers, all other · growth +6.4%
Peers are nearest-neighbor matches on published BLS + O*NET metrics among occupations with ≥10,000 workers in 2024; corpus ranks above sort the full tracked set.
Related Occupations
Showing 6 of 45 occupations with a comparable automation-risk profile.
What to do with this
Use Dermatologists' numbers above to compare, not just read in isolation.
- Compare Dermatologists side by side against another occupation on wage, growth, and AI exposure. Workforce comparison tool
- Understand how the AI exposure score above is actually calculated before treating it as a verdict. Reading AI exposure scores
- See the full ranked list of occupations with the lowest automation exposure nationwide. Safest occupations from AI
AI exposure scores estimate task automatability from O*NET data; they are not a certainty of job loss, and BLS growth projections are estimates, not guarantees.
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).