Medium AI Risk Average

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.

AI Exposure Score
25% Medium

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

Projected Growth
+6.4%
2024–2034 (BLS)
+700 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

10,900
Employment 2024
11,600
Projected 2034
+6.4%
Change (%)
+700
Change (jobs)

Occupation Insight

Dermatologists (SOC 29-1213) carries an AI exposure score of 25%, 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 10,900 workers in this occupation in 2024, and projects a +6.4% 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 Dermatologists. 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. Conduct complete skin examinations.
  2. 2. Diagnose and treat pigmented lesions such as common acquired nevi, congenital nevi, dysplastic nevi, Spitz nevi, blue nevi, or melanoma.
  3. 3. Perform incisional biopsies to diagnose melanoma.
  4. 4. Perform skin surgery to improve appearance, make early diagnoses, or control diseases such as skin cancer.
  5. 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. 6. Diagnose and treat skin conditions such as acne, dandruff, athlete's foot, moles, psoriasis, or skin cancer.
  7. 7. Record patients' health histories.
  8. 8. Recommend diagnostic tests based on patients' histories and physical examination findings.
  9. 9. Prescribe hormonal agents or topical treatments such as contraceptives, spironolactone, antiandrogens, oral corticosteroids, retinoids, benzoyl peroxide, or antibiotics.
  10. 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

1.3
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