Will AI take my dermatologist job?

Medicine · SOC 29-1217
75
/ 100
AI-Proof Score · medicine

Dermatologist

In 1 year
73
↓ 2 pts
In 3 years
71
↓ 4 pts
In 5 years
69
↓ 6 pts

Tasks at risk

  • Triaging photographs of skin lesions
  • Drafting first-pass diagnoses for common rashes
  • Generating patient-facing skincare recommendations

AI-resistant skills to build

  • Procedural dermatology (Mohs, biopsies, excisions)
  • Cosmetic and aesthetic procedures
  • Final diagnosis and treatment authority for malignancy

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What this score means for Dermatologist.

The Dermatologist role is durable. AI is squeezing the documentation surface and some routine knowledge work, but the value-creating core remains squarely human. The right move is to use AI to take the paperwork off your plate so you can spend more time on what AI cannot do. Over the next 5 years the score is projected to drift down by 6 points based on the medicine vertical's drift rate. Quarterly recomputes track the actual change.

Author note: Image-based teledermatology is highly augmentable; in-clinic procedural and cosmetic work is durable.

The four signals.

Eloundou α
8%
Tasks an LLM can do directly.
Eloundou β
40%
Tasks reachable via LLM-powered software.
Index intensity
27/100
How heavily real users deploy AI on this work today.
Automation share
24%
Of that usage, the share that is replacement vs assistance.

All four are weighted into the composite. See the formula →

What to do this quarter.

The single highest-leverage move for someone in this role this quarter:

ChatGPT or another frontier AI assistant for clinical-note drafting + medical-literature synthesis.

The free 12-week email plan above expands this into a sequenced plan. The $19 personalized roadmap goes further: ranked tools, credential-value shifts, pivot scenarios, and quarter-by-quarter targets for the next 12 months.

Other roles in Medicine.

Sources for this score.