TCD · The Career Diagnostic

Will AI take my dermatologist job?

Medicine · SOC 29-1217
75
/ 100
Career Diagnostic 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

Skills to build that AI can't replace

  • 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. We update the score every 3 months as new data comes in.

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

The four signals.

Can AI do it directly?
8%
Share of tasks AI can already do on its own.
Could AI tools do it soon?
40%
Share of tasks AI tools could plausibly handle soon.
Are people using AI for this now?
27/100
How much real workers are using AI for this work today.
Replacing or helping?
24%
Of that usage, how much is AI replacing vs. helping the worker.

All four are blended into your single 0–100 score. See the exact 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 $29 Pivot Interview goes much 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.

  • Anthropic Economic Index — Anthropic's real usage data (March 2026 release), used for the "real usage" and "replacing vs. helping" signals. huggingface.co/datasets/Anthropic/EconomicIndex
  • Eloundou et al. (2023) — the Stanford / OpenAI study used for the "can AI do it" and "could AI tools do it soon" signals. arXiv:2303.10130
  • U.S. Department of Labor (O*NET 28.0) — the official task-and-skill list for every job in America. onetcenter.org/database
  • U.S. Bureau of Labor Statistics — the official jobs classification (SOC code). bls.gov/oes