π‘ Dermatologists have a composite risk score of 47/100 (Frey-Osborne probability: 40%, GenAI exposure: 74/100). With 10,080 workers in the US, this occupation faces moderate but manageable AI pressure. Full occupation profile β
π― The Verdict
Possible. Significant task automation is underway β workers should actively upskill.
With 10,080 workers and a median wage of Varies,dermatologists represent a significant portion of the US workforce. Their GenAI exposure index is 74%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
47/100
Employment
10,080
Median Wage
Varies
GenAI Exposure
74%
β οΈ Top Risk Factors
Large language model automation of analysis tasks
Administrative automation of medical billing and coding
Chatbot displacement of customer-facing interactions
AI summarization replacing manual report compilation
π‘οΈ Tasks AI Can't Easily Replace
Empathetic patient communication and bedside manner
Interdisciplinary care coordination
Ethical decision-making in end-of-life situations
Hands-on physical examination and procedures
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Dentists, All Other Specialists
83% skills overlap Β· $226K median wage
Dentists, General
76% skills overlap Β· $173K median wage
Prosthodontists
71% skills overlap Β· Varies median wage
β Frequently Asked Questions
Will AI completely replace dermatologists?
Possible. Significant task automation is underway β workers should actively upskill.
What is the AI risk score for dermatologists?
Dermatologists have a composite AI automation risk score of 47 out of 100, classified as "Elevated".
How many dermatologists are there in the US?
There are approximately 10,080 dermatologists employed in the United States.
What do dermatologists earn?
The median annual wage for dermatologists is Varies.
What skills should dermatologists develop?
Focus on tasks AI can't easily replicate: empathetic patient communication and bedside manner, interdisciplinary care coordination, ethical decision-making in end-of-life situations, hands-on physical examination and procedures. These human-centric skills will become more valuable as routine tasks are automated.