47
/100

SOC 29-1213

Dermatologists

ElevatedFrey/Osborne: 40.0%

Risk Score

โš ๏ธ

47/100

Elevated

US Employment

๐Ÿ‘ฅ

10,080

Total workers

Median Wage

๐Ÿ’ฐ

$239K

$119K โ€“ $0

Projected Growth

๐Ÿ“ˆ

+6.4%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

74/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Dermatologists face a risk score of 47/100 โ€” 3 points above the national average of 44. With 74/100 GenAI exposure, this occupation faces significant pressure from AI tools despite strong projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $239K ($193K above the national median). The 3 recommended career transitions offer lower AI risk while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 47/100, Dermatologists faces moderate automation pressure. While tasks like large language model automation of analysis tasks are increasingly handled by AI, the role retains significant human elements. The 10,080 workers in this occupation should focus on strengthening skills in empathetic patient communication and bedside manner and interdisciplinary care coordination to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Dermatologists?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Large language model automation of analysis tasks

2

Administrative automation of medical billing and coding

3

Chatbot displacement of customer-facing interactions

4

AI summarization replacing manual report compilation

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Empathetic patient communication and bedside manner

โœ“

Interdisciplinary care coordination

โœ“

Ethical decision-making in end-of-life situations

โœ“

Hands-on physical examination and procedures

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Conduct complete skin examinations.

โ€ข

Diagnose and treat pigmented lesions such as common acquired nevi, congenital nevi, dysplastic nevi, Spitz nevi, blue nevi, or melanoma.

โ€ข

Perform incisional biopsies to diagnose melanoma.

โ€ข

Perform skin surgery to improve appearance, make early diagnoses, or control diseases such as skin cancer.

โ€ข

Counsel patients on topics such as the need for annual dermatologic screenings, sun protection, skin cancer awareness, or skin and lymph node self-examinations.

๐Ÿ’ป Technology Skills

โ€ข

Medical software

โ€ข

Calendar and scheduling software

โ€ข

Video conferencing software

โ€ข

Electronic mail software

โ€ข

Spreadsheet software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Medicine and Dentistry

โ€ข

Customer and Personal Service

โ€ข

English Language

โ€ข

Administration and Management

โ€ข

Education and Training

๐Ÿ“Š vs National Average

Median Wage$239K
+$193K

National avg: $46K

Risk Score47/100
+3

National avg: 44/100

GenAI Exposure74/100
+36

National avg: 38/100

Projected Growth6.4%
+2.7%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Dentists, All Other Specialists13$226K83%
Dentists, General24$173K76%
Prosthodontists34$071%