# Will manicurists be replaced by AI? Updated October 2026 Manicurists score 16 of 100 for AI exposure. 78% of their task time still needs a person. AI can do 12% today and speed up another 10%. - **12%** AI can do it - **10%** AI helps - **78%** Needs a person Low exposure Lower than 87% 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 2 and leaves 14 to people. | Task | AI exposure | | --- | --- | | Maintain supply inventories and records of client services. Inventory and service records are routine software and data entry. | 70% AI can do it | | Schedule client appointments and accept payments. Online booking and payment processing are largely software tasks. | 65% AI can do it | | Promote and sell nail care products. AI can draft product copy and promotions, sales stay personal. | 50% AI helps | | Advise clients on nail care and use of products and colors. AI can suggest colors and care tips, but advice is in person. | 35% AI helps | | Clean and sanitize tools and work environment. Physical cleaning and sanitizing of tools and workspace. | 10% Needs a person | ## How manicurists compare All occupations (923) Personal care and service (31) **Manicurists score 16**, 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 $35,760 a year, May 2025 People employed 152,770 in the US, May 2025 Projected change in jobs +9.2% from 2024 to 2034 ## Skills to build - Prepare nails manually with files, swabs, and orange sticks - Shape nails with rotary abrasive wheels on each client - Apply ornaments and nail art by piercing and attaching designs - Advise clients on product and color choice in person - Manage bookings and client records in DaySmart Software Salon Iris - Track supply stock and service costs in Microsoft Excel ## Safer roles nearby 5 related occupations with lower scores. - [Spray painting machine operators15 out of 100](https://www.aigentcy.com/ai-exposure/spray-painting-machine-operators/) - [Shoe machine operators13 out of 100](https://www.aigentcy.com/ai-exposure/shoe-machine-operators/) - [Seamstresses14 out of 100](https://www.aigentcy.com/ai-exposure/seamstresses/) - [Shoe repairers12 out of 100](https://www.aigentcy.com/ai-exposure/shoe-repairers/) - [Laundry workers13 out of 100](https://www.aigentcy.com/ai-exposure/laundry-workers/) ## Questions about manicurists and AI Will AI replace manicurists? Partly. About 2 in 10 working hours of a manicurist's job go to tasks AI can already do, mostly supply inventory and service records plus appointment scheduling and payments. Hands-on nail care stays with people because each client's nails need a person working at the table. Which manicurist tasks is AI taking over? Inventory and service record keeping is the most exposed task, with an exposure score of 70, because stock counts and client histories are routine data entry. Online booking and payment processing follows at 65, since scheduling and payments already run through software. Which manicurist tasks stay human? Shaping and filing nails manually has an exposure score of 4, so it stays with manicurists because every nail needs a person working on it. Removing old polish with swabs and cleaning tools, scoring 4 and 10, also stays hands-on at the client's chair. How can manicurists stay valuable? Keep the hands-on work sharp, since filing, polish removal, and rotary wheel shaping stay with people. Let DaySmart Software Salon Iris handle bookings so chair time goes to clients. Post nail art photos on Facebook and advise each client on color in person. ## Related jobs - [Hairdressers26 out of 100](https://www.aigentcy.com/ai-exposure/hairdressers/) - [Skincare specialists24 out of 100](https://www.aigentcy.com/ai-exposure/skincare-specialists/) - [Painters18 out of 100](https://www.aigentcy.com/ai-exposure/painters/) ## Next steps for manicurists - ### 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/) ## 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/) 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.