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Manicurists and Pedicurists

Occupation · SOC 39-5092.00

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

Also called: Manicurist · Nail Technician (Nail Tech) · Pedicurist · Fingernail Former · Fingernail Sculptor · Fingernail Sculpturer · Fingernail Technician · Licensed Nail Technician (Licensed Nail Tech) · Nail Artist · Salon Nail Technician (Salon Nail Tech) · Spa Nail Technician (Spa Nail Tech)

Job family: Personal Care and Service Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-39-5092-00/context.md directly.

AI work map

A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.

21st-percentile task overlap — yet about 24,800 openings a year (+7% projected, BLS) . What exposure means →

AI & job outlook

What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.

Exposure to current AI

Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.

Measure Rank vs all occupations Percentile Score
Overall AI exposure (Felten et al.) Moderate 48th 0.0
LLM task exposure, γ (OpenAI / Eloundou) Low 15th 0.1
AI assistant applicability (Microsoft) Low 6th 0.0

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.1), and including AI-powered software (γ 0.1). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.

Mixed signals. Today's AI/LLM studies show relatively low exposure for this job, but the older (2013) Frey–Osborne work rated it higher for computerization and robotics. Different eras, different technologies — the AI measures above reflect the current state.

Historical automation estimate (2013)

A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.

Frey–Osborne probability 0.9 · 89th percentile among occupations · High

How AI is actually used in this job

Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.

Advise clients on nail care and use of products and colors. 0.3%

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

Outlook Growing fast · +7.0% by 2034
Projected annual openings 24,800
Employment 2024 → 2034 210,100 → 224,800

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

Where this work sits on the global GenAI gradient

The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.

18% mean task exposure (2025)
29th percentile of 427 placed occupations
−4 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Beauticians and Related Workers · 5142 18% Not exposed

Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.

Tasks

All 18 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Abilities

Near Vision 3.5
Arm-Hand Steadiness 3.1
Finger Dexterity 3.1
Oral Expression 3.0
Manual Dexterity 3.0
Speech Recognition 3.0
Oral Comprehension 2.9
Selective Attention 2.9
Control Precision 2.9
Speech Clarity 2.9
Problem Sensitivity 2.8
Visual Color Discrimination 2.8
Originality 2.6
Inductive Reasoning 2.6
Information Ordering 2.6
Time Sharing 2.6
Written Comprehension 2.5
Deductive Reasoning 2.5
Category Flexibility 2.5
Visualization 2.5

Knowledge

Customer and Personal Service 3.4
English Language 2.6
Administration and Management 2.6
Personnel and Human Resources 2.5
Sales and Marketing 2.4
Production and Processing 2.4
Mathematics 2.4

Essential skills

Active Listening 3.0
Speaking 3.0
Reading Comprehension 2.8
Active Learning 2.8
Monitoring 2.6
Critical Thinking 2.5

Transferable skills

Social Perceptiveness 3.0
Service Orientation 3.0
Coordination 2.8
Time Management 2.8
Persuasion 2.6
Negotiation 2.5
Judgment and Decision Making 2.4

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Tools & technology

Example Category
Facebook Web page creation and editing software Hot technology
Microsoft Excel Spreadsheet software Hot technology
Microsoft Office software Office suite software Hot technology
Aknaf ADVANTAGE Salon Software and Spa Software Data base user interface and query software
Appointment Search Calendar and scheduling software
AppointmentQuest Online Appointment Scheduler Calendar and scheduling software
Customer information databases Customer relationship management CRM software
DaySmart Software Appointment-Plus Calendar and scheduling software
DaySmart Software Salon Iris Data base user interface and query software

Work context

How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.

Exposed to Contaminants 4.7
Physical Proximity 4.6
Spend Time Making Repetitive Motions 4.5
Contact With Others 4.5
Indoors, Environmentally Controlled 4.2
Spend Time Sitting 4.0
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 4.0
Freedom to Make Decisions 3.9
Face-to-Face Discussions with Individuals and Within Teams 3.8
Importance of Being Exact or Accurate 3.8
Health and Safety of Other Workers 3.5
Work With or Contribute to a Work Group or Team 3.5
Determine Tasks, Priorities and Goals 3.5
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 3.5
Work Outcomes and Results of Other Workers 2.9
Telephone Conversations 2.9
Coordinate or Lead Others in Accomplishing Work Activities 2.9
Level of Competition 2.6
Exposed to Minor Burns, Cuts, Bites, or Stings 2.5
Spend Time Bending or Twisting Your Body 2.4
Deal With External Customers or the Public in General 2.4
Time Pressure 2.2
Spend Time Standing 2.1
Exposed to Disease or Infections 2.1
Frequency of Decision Making 2.0
Impact of Decisions on Co-workers or Company Results 2.0
Dealing With Unpleasant, Angry, or Discourteous People 1.9
Importance of Repeating Same Tasks 1.9
Exposed to Hazardous Conditions 1.8
Consequence of Error 1.7
Pace Determined by Speed of Equipment 1.7
Written Letters and Memos 1.6
Spend Time Walking or Running 1.6
Conflict Situations 1.4
Spend Time Kneeling, Crouching, Stooping, or Crawling 1.4
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 1.3
E-Mail 1.3
Exposed to Cramped Work Space, Awkward Positions 1.2
Exposed to Extremely Bright or Inadequate Lighting Conditions 1.2
Dealing with Violent or Physically Aggressive People 1.2

How to get in

Job zone
Zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed
Education
Usually requires a high school diploma or GED, though some occupations may not.
Typical entry-level education
Postsecondary nondegree award · BLS, the typical path — not a requirement
Related experience
Some occupations may need little or no previous experience; others require several months to a year of experience. For example, landscaping and groundskeeping workers might require very little training or previous experience, while agricultural equipment operators can benefit from on-the job training.
Preparation level
SVP (Below 6.0) — total schooling plus on-the-job experience.

What to study: Culinary, Entertainment, and Personal Services . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.

Education of current workers

Share of people in this occupation at each level of education.

Post-Secondary Certificate 14.8%
Some College Courses 0.3%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Career interests (Holland / RIASEC)

Realistic 5.6
Conventional 3.7
Social 3.1
Enterprising 2.4
Artistic 2.3

Interest areas

Personal Service 5.6
Applied Arts and Design 2.7
Physical/Manual Labor 2.4
Sales 2.3
Visual Arts 2.1
Marketing/Advertising 1.7

Work styles

Dependability 3.0
Attention to Detail 2.2
Social Orientation 2.1
Cooperation 1.9
Empathy 1.7

Wages & employment

U.S. · annual wages (BLS OEWS)

$28k10th$32k25th$35kMedian$38k75th$48k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
210k2024225k2034 (proj.)+7.0% · Growing fast
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $27,910
25th percentile $31,510
Median (50th) $34,660
75th percentile $37,660
90th percentile $47,990
People employed 147,820

Industries that employ this occupation

Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.

Industry Workers National median pay
Other Services (except Public Administration) · Sector 145,870 $34,650
Accommodation and Food Services · Sector 1,210 $36,940
Arts, Entertainment, and Recreation · Sector 310 $37,390
Retail Trade · Sector 220 $29,850
Casino Hotels · National industry 180 $31,200
Fitness and Recreational Sports Centers · National industry 170 $38,850
Health Care and Social Assistance · Sector 130 $43,710

Where this work is most concentrated

Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).

Industry Concentration Workers
Other Services (except Public Administration) · Sector 34.37× 145,870
Casino Hotels · National industry 0.56× 180
Fitness and Recreational Sports Centers · National industry 0.28× 170
Arts, Entertainment, and Recreation · Sector 0.12× 310
Accommodation and Food Services · Sector 0.09× 1,210
Retail Trade · Sector 0.01× 220
Health Care and Social Assistance · Sector 0.01× 130

Part of the Healthcare & Human Services career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Manicurists and Pedicurists sits at the 21st percentile of AI task-overlap and the 4th percentile of median pay, placed here against 12 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Manicurists and Pedicurists Coating, Painting, and Spraying Machine Setters, Operators, and Tenders Shoe Machine Operators and Tenders Furniture Finishers Tool Grinders, Filers, and Sharpeners AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

Options the data surfaces for Manicurists and Pedicurists — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Skills that travel

Capabilities this work builds that are used across many other occupations.

Paths in

How people typically prepare for this work.

Zoom out

On the global GenAI exposure gradient this work sits around the 29th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Manicurists and Pedicurists show 21st-percentile AI task overlap — and about 24,800 annual U.S. openings

  • Manicurists and Pedicurists rank in the 21st percentile (Low band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
  • The occupation is projected to see about 24,800 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
  • BLS projects employment to be growing fast (+7%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $34,660, across about 147,820 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Manicurists and Pedicurists show 21st-percentile AI task overlap — and about 24,800 annual U.S. openings

• Manicurists and Pedicurists rank in the 21st percentile (Low band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE)
• The occupation is projected to see about 24,800 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34)
• BLS projects employment to be growing fast (+7%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $34,660, across about 147,820 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Manicurists and Pedicurists". https://singulariki.com/roles/role-39-5092-00
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.

AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom

Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Manicurists and Pedicurists." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-39-5092-00

APA

Singulariki. (2026). Manicurists and Pedicurists. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-39-5092-00

BibTeX
@misc{singulariki-role-39-5092-00,
  title  = {Manicurists and Pedicurists},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-39-5092-00}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.

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