AI exposure by occupation, O*NET 29-1213.00

Will AI replace Dermatologists?

Dermatologists: AI can already handle 2 of 18 tasks; the work mostly needs a frontier-tier model.

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Every task, scored

The 18 tasks O*NET 30.3 lists for Dermatologists, from most to least exposed. 2 reach 60 or more, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Evaluate patients to determine eligibility for cosmetic procedures such as liposuction, laser resurfacing, or microdermabrasion. 65 Estimated Standard 2.9
Provide dermatologic consultation to other health professionals. 60 Estimated Frontier 4.3
Conduct complete skin examinations. 55 Estimated Standard 4.9
Counsel patients on topics such as the need for annual dermatologic screenings, sun protection, skin cancer awareness, or skin and lymph node self-examinations. 55 Estimated Frontier 4.8
Record patients' health histories. 55 Estimated Efficient 4.6
Conduct or order diagnostic tests such as chest radiographs (x-rays), microbiologic tests, or endocrinologic tests. 55 Estimated Frontier 4.3
Refer patients to other specialists, as needed. 55 Estimated Efficient 4.1
Instruct interns or residents in diagnosis and treatment of dermatological diseases. 55 Estimated Standard 4.1
Provide therapies such as intralesional steroids, chemical peels, or comodo removal to treat age spots, sun damage, rough skin, discolored skin, or oily skin. 55 Estimated Efficient 4.0
Conduct clinical or basic research. 55 Estimated Efficient 3.4
Provide dermabrasion or laser abrasion to treat atrophic scars, elevated scars, or other skin conditions. 55 Estimated Efficient 3.2
Read current literature, talk with colleagues, and participate in professional organizations or conferences to keep abreast of developments in dermatology. 50 Estimated Standard 4.3
Diagnose and treat pigmented lesions such as common acquired nevi, congenital nevi, dysplastic nevi, Spitz nevi, blue nevi, or melanoma. 10 Estimated No tier 4.9
Perform incisional biopsies to diagnose melanoma. 10 Estimated No tier 4.8
Perform skin surgery to improve appearance, make early diagnoses, or control diseases such as skin cancer. 10 Estimated No tier 4.8
Diagnose and treat skin conditions such as acne, dandruff, athlete's foot, moles, psoriasis, or skin cancer. 10 Estimated No tier 4.7
Recommend diagnostic tests based on patients' histories and physical examination findings. 10 Estimated No tier 4.6
Prescribe hormonal agents or topical treatments such as contraceptives, spironolactone, antiandrogens, oral corticosteroids, retinoids, benzoyl peroxide, or antibiotics. 10 Estimated No tier 4.3

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 18 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 18 of 18. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.

The model tier this role needs

A frontier-tier model or lower covers 64% of the role's importance-weighted task work. 64% of the work is something AI can address at some tier, and 37% is hands-on.

Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.

Wages, employment and outlook

US employment
11,370
Median annual wage
$328,730
Middle half of earners
$139,990 to $452,450
Projected change, 2024 to 2034
+6.4%

Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.

Adjacent roles

The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.

Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.

Questions about Dermatologists and AI

Will AI replace Dermatologists?

AI already handles 2 of the 18 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 39 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +6.4% from 2024 to 2034.

What is the AI exposure of Dermatologists?

39 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 18 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 18 are estimated from each task's O*NET work activity.

Which Dermatologists tasks can AI already do?

The tasks with the highest exposure are: Evaluate patients to determine eligibility for cosmetic procedures such as liposuction, laser resurfacing, or microdermabrasion; Provide dermatologic consultation to other health professionals. They are the tasks that reach 60 or more.

What AI model tier does this role need?

A frontier-tier model or lower covers 64% of the role's importance-weighted task work, and 37% is hands-on work that no model tier covers. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.

How many people work as Dermatologists, and what do they earn?

11,370 people in the United States, with a median annual wage of $328,730 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +6.4% from 2024 to 2034.

How to cite

Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.

JobRoute (2026). AI exposure: Dermatologists. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/dermatologists

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