As of August 2026, Manicurists and Pedicurists has an AI-exposure score of 39/100 (Low exposure) on the AI-Safe Careers index. This is an estimate of task exposure, not a prediction of job loss.
Score inputs for this role: This role starts from O*NET 29.1 occupational descriptors and is empirically grounded by Penn/OpenAI GPTs are GPTs study, Anthropic Economic Index (June 26, 2026), Felten, Raj and Seamans AIOE index. BLS labor-market figures are separate context, not score inputs.

AI Exposure Score for

Manicurists and Pedicurists

39/100
Low exposure
LowModerateElevatedHighVery High

More exposed than 7% of the roles we track. Median pay ~US$35,760. About 24,800 projected openings a year (BLS 2024–34 - growth plus replacement).

Pay & demand figures are US medians (BLS, in USD) - your local figures will differ. Your exposure score applies broadly.

Will AI replace Manicurists and Pedicurists?

No exposure score can predict whether AI will replace this role. The 39/100 score means our current model estimates low task exposure from the sources listed on this page. It does not predict an employer decision, headcount, or an individual outcome. The task map below shows the work assessed and where human judgment remains important.

Early-career context (study ages 22-25)

This role is in our Low exposure band, not our highest-exposure bands. The study's 16% finding should not be applied directly to this role.

The November 2025 revision reports a 16% relative employment decline for workers ages 22-25 in the most AI-exposed U.S. occupations, after firm-level controls, relative to workers in less-exposed fields and more experienced workers in the same occupations.

Use the task map to identify durable work and the skills worth building early.

Stanford Digital Economy Lab, Canaries in the Coal Mine - November 2025 revision

This is group-level U.S. payroll evidence, not a personal forecast. The authors do not claim that AI alone caused the change, and this context does not alter the exposure score.

Data sources, not endorsements: O*NET and curated role data; empirical AI signals where matched; BLS employment, pay, and demand as separate context.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 29.1 exact occupation

Clean and shape customers' fingernails and toenails. May polish or decorate nails.

Common titles
ManicuristNail Technician (Nail Tech)Pedicurist
O*NET job-zone preparation
Job Zone 2 · Job Zone 1-2: Very Little to Some Preparation Needed Usually requires a high school diploma or GED, though some occupations may not. Some occupations may need little or no previous experience; others require several months to a year of experience.

Broad guidance for this preparation level; exact requirements vary by role and employer.

Skills and knowledge
Service OrientationSocial PerceptivenessSpeakingReading ComprehensionCustomer and Personal Service
Work context
Frequent contact with othersIndoor controlled settingDecision latitude

Source: O*NET 29.1 exact occupation - Manicurists and Pedicurists, SOC 39-5092.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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Manicurists and Pedicurists tasks, by AI exposure

Automatable

No automatable tasks identified for this role - its individually-assessed tasks split 89% durable / 11% augmentable.

Augmentable
  • Schedule client appointments and accept payments.
  • Maintain supply inventories and records of client services.
Durable
  • Promote and sell nail care products.
  • Shape and smooth ends of nails, using scissors, files, or emery boards.
14 more durable tasks locked in the report.

We analyzed all 18 Manicurists and Pedicurists tasks - 2 augmentable and 16 durable. The full task map - every task with exactly what to do about each - is in your Career Report.

Your report unlocks three concrete artifacts

Full task map

Every task scored with what to automate, augment, or protect.

Adjacent path comparison

Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.

Adjacent career paths

Relatedness shows how reachable a move may be. A path is labeled lower exposure only when its score is at least 6 points lower; every row shows the measured difference.

Furniture Finishers
40% skills overlap; 7 points lower - lower exposure; Low band; ~US$44,540
View path
32
7 more adjacent paths with exposure deltas, salary, demand, and reachability in your Career Report.
Agent Reality Check (on-site workflow preview)

Schedule client appointments and accept payments.

Check what deployed AI agents can attempt on tasks like this using dated capability evidence. You review the real task before any analysis runs.
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Your AI-Safe Career Report

Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.

Workers with AI skills earn a roughly 62% wage premium - adapting pays. - PwC Global AI Jobs Barometer, 2026

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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.

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Manicurists and Pedicurists - median pay by US state (BLS OEWS, USD)

Florida: US$37,840California: US$36,630New York: US$34,660Texas: US$34,040

Median annual wage, in USD. US national: US$35,760. More states are being added.

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