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# AI exposure in personal care and service jobs

Updated October 2026

The 31 occupations in this group average 30 of 100 for AI exposure, against 37 for all the occupations we scored. Personal service supervisors are the most exposed at 45. Manicurists are the least exposed at 16.

## How the group splits

Share of the occupations in this group in each exposure band.

-   **52%** low
-   **45%** moderate
-   **3%** high

## Every occupation in this group

1.  [Personal service supervisors, First-Line Supervisors of Personal Service Workers, score **45** out of 100](https://www.aigentcy.com/ai-exposure/personal-service-supervisors/)
2.  [Recreation supervisors, First-Line Supervisors of Entertainment and Recreation Workers, Except Gambling Services, score **42** out of 100](https://www.aigentcy.com/ai-exposure/recreation-supervisors/)
3.  [Recreation attendants, Amusement and Recreation Attendants, score **39** out of 100](https://www.aigentcy.com/ai-exposure/recreation-attendants/)
4.  [Residential advisors, Residential Advisors, score **37** out of 100](https://www.aigentcy.com/ai-exposure/residential-advisors/)
5.  [Recreation workers, Recreation Workers, score **34** out of 100](https://www.aigentcy.com/ai-exposure/recreation-workers/)
6.  [Fitness instructors, Exercise Trainers and Group Fitness Instructors, score **31** out of 100](https://www.aigentcy.com/ai-exposure/fitness-instructors/)
7.  [Animal caretakers, Animal Caretakers, score **29** out of 100](https://www.aigentcy.com/ai-exposure/animal-caretakers/)
8.  [Childcare workers, Childcare Workers, score **29** out of 100](https://www.aigentcy.com/ai-exposure/childcare-workers/)
9.  [Hairdressers, Hairdressers, Hairstylists, and Cosmetologists, score **26** out of 100](https://www.aigentcy.com/ai-exposure/hairdressers/)
10.  [Gambling dealers, Gambling Dealers, score **25** out of 100](https://www.aigentcy.com/ai-exposure/gambling-dealers/)
11.  [Skincare specialists, Skincare Specialists, score **24** out of 100](https://www.aigentcy.com/ai-exposure/skincare-specialists/)
12.  [Ushers, Ushers, Lobby Attendants, and Ticket Takers, score **24** out of 100](https://www.aigentcy.com/ai-exposure/ushers/)
13.  [Manicurists, Manicurists and Pedicurists, score **16** out of 100](https://www.aigentcy.com/ai-exposure/manicurists/)

## Related topics

-   [**Jobs AI can't replace**Cement masons score lowest, at 8.](https://www.aigentcy.com/ai-exposure/jobs-ai-cant-replace/)
-   [**Jobs most at risk from AI**Proofreaders score highest, at 76.](https://www.aigentcy.com/ai-exposure/jobs-most-exposed-to-ai/)
-   [**High-paying jobs with low AI exposure**Radiologists earn a median $420,860 and score 46.](https://www.aigentcy.com/ai-exposure/high-paying-jobs-low-ai-exposure/)
-   [**Entry-level jobs with low AI exposure**Cement masons need little prior training and score 8.](https://www.aigentcy.com/ai-exposure/entry-level-jobs-low-ai-exposure/)
-   [**Jobs AI speeds up the most**For natural sciences managers, AI speeds up 96% of task time.](https://www.aigentcy.com/ai-exposure/jobs-ai-speeds-up/)
-   [**AI and jobs in Malta**15 iGaming roles graded task by task.](https://www.aigentcy.com/ai-exposure/malta/)
-   [**Skills that keep work human**The skills to build in the jobs AI changes least.](https://www.aigentcy.com/ai-exposure/skills/)
-   [**Jobs A to Z**Every job we publish, by first letter.](https://www.aigentcy.com/ai-exposure/jobs/)
-   [**AI exposure by industry**Average scores for 22 occupation groups.](https://www.aigentcy.com/ai-exposure/industries/)
-   [**Write a CV screening software can read**How applicant tracking systems read a CV, and what to change.](https://www.aigentcy.com/ai-exposure/cv-screening-guide/)
-   [**AI for businesses**The tasks to automate first in each team and industry.](https://www.aigentcy.com/ai-for/)
-   [**How we score AI exposure**The grading, the weights and every source.](https://www.aigentcy.com/ai-exposure/methodology/)

## Next steps

-   ### Check your job
    
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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.
