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# Will skincare specialists be replaced by AI?

Updated October 2026

Skincare specialists score 24 of 100 for AI exposure. 61% of their task time still needs a person. AI can do 13% today and speed up another 26%.

-   **13%** AI can do it
-   **26%** AI helps
-   **61%** Needs a person

Low exposure

Lower than 73% of the 923 occupations we scored.

## Task by task

We graded 18 tasks, listed here from most to least exposed. AI can do 2 of them today, speeds up 6 and leaves 10 to people.

| Task | AI exposure |
| --- | --- |
| Keep records of client needs and preferences and the services provided. AI can transcribe and organize client notes and service history. | 75% AI can do it |
| Stay abreast of latest industry trends, products, research, and treatments. AI tools can quickly summarize research, trends and new products. | 70% AI can do it |
| Determine which products or colors will improve clients' skin quality and appearance. AI suggests products; shade matching still needs trained eyes. | 45% AI helps |
| Demonstrate how to clean and care for skin properly and recommend skin-care regimens. AI can draft care regimens, but live demonstration stays human. | 40% AI helps |
| Advise clients about colors and types of makeup and instruct them in makeup application techniques. AI can suggest looks, but live color advice stays personal. | 40% AI helps |

## How skincare specialists compare

All occupations (923)

Personal care and service (31)

**Skincare specialists score 24**, marked by the dark line. Each dot is a score, darker where more occupations share it. The short marks show the averages, 37 for all occupations and 30 for personal care and service.

## Pay and outlook in the US

Median pay

$45,330 a year, May 2025

People employed

72,890 in the US, May 2025

Projected change in jobs

+8.8% from 2024 to 2034

## Skills to build

-   Perform chemical peels and simple extractions manually
-   Log client treatment history in spa management software
-   Match foundation and makeup shades by eye for each client
-   Write client care regimens in Microsoft Word
-   Track product pricing and stock levels in Microsoft Excel
-   Hold the licence required for electrology or laser hair removal

## Safer roles nearby

5 related occupations with lower scores.

-   [Shampooers19 out of 100](https://www.aigentcy.com/ai-exposure/shampooers/)
-   [Massage therapists20 out of 100](https://www.aigentcy.com/ai-exposure/massage-therapists/)
-   [Surgical technologists15 out of 100](https://www.aigentcy.com/ai-exposure/surgical-technologists/)
-   [Barbers23 out of 100](https://www.aigentcy.com/ai-exposure/barbers/)
-   [Manicurists16 out of 100](https://www.aigentcy.com/ai-exposure/manicurists/)

## Questions about skincare specialists and AI

Will AI replace skincare specialists?

Partly. About 2 in 10 of a skincare specialist's working hours go to tasks AI can already do, mostly client record keeping and industry research. The hands-on work stays with people, including massage, waxing, lash tinting, extractions and chemical peels, because these need physical touch and skilled judgement.

Which skincare specialist tasks is AI taking over?

Record keeping and industry research are the most exposed. Client records score 75 on exposure, because AI can transcribe and organise client notes and service history. Staying current on trends, products and treatments scores 70, because AI can summarise research quickly. Makeup selling scores 35, since AI can draft sales pitches.

Which skincare specialist tasks stay human?

Hands-on treatments stay with people. Chemical peels score 5 on exposure, extractions score 4 and lash tinting scores 3, because each needs direct hand contact, skin sensitivity and careful work near the eyes. Waxing scores 2 because it is a physical procedure that depends on client contact.

How can skincare specialists stay valuable as AI spreads?

Spend more hours on the treatment bed and in face-to-face consultations, where AI has no physical role. Let spa management software handle record keeping, and track skin progress in Microsoft Excel to show clients results. Hold the electrology or laser hair removal licence if your state requires it, since those treatments need a trained person.

## Related jobs

-   [Hairdressers26 out of 100](https://www.aigentcy.com/ai-exposure/hairdressers/)
-   [Medical assistants32 out of 100](https://www.aigentcy.com/ai-exposure/medical-assistants/)
-   [Dental assistants26 out of 100](https://www.aigentcy.com/ai-exposure/dental-assistants/)
-   [Dentists28 out of 100](https://www.aigentcy.com/ai-exposure/dentists/)

## Next steps for skincare specialists

-   ### Check your job
    
    Your job title is a rough guide. Your actual tasks decide your score. Paste your job description or CV and see which of your tasks AI can do.
    
    [Check your job](https://www.aigentcy.com/tools/ai-exposure-checker/) [Check your CV](https://www.aigentcy.com/tools/cv-checker/)
    

### Check which roles in your team AI can take on

We map your team's tasks, show what AI can do today and build the automations that pay back first.

[Book an AI audit](https://www.aigentcy.com/audit/)

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-   [**How we score AI exposure**The grading, the weights and every source.](https://www.aigentcy.com/ai-exposure/methodology/)

Occupation data from the O\*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) and modified by Aigentcy. O\*NET® is a trademark of USDOL/ETA. Wage, employment and projection data from the U.S. Bureau of Labor Statistics. EU occupation names from ESCO, European Commission. AI usage signals from the Anthropic Economic Index (CC BY) and Microsoft Research (CC BY 4.0). [Methodology and sources](https://www.aigentcy.com/ai-exposure/methodology/). Scores © Aigentcy. Quote them with a link to the page.
