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Musical Instrument Repairers and Tuners

Occupation · SOC 49-9063.00

Repair percussion, stringed, reed, or wind instruments. May specialize in one area, such as piano tuning.

Also called: Instrument Repair Technician (Instrument Repair Tech) · Luthier · Piano Technician (Piano Tech) · Piano Tuner · Brass Instrument Repair Technician (Brass Instrument Repair Tech) · Fretted String Instrument Repairer · Guitar Repairer · Musical Instrument Repair Technician (Musical Instrument Repair Tech) · Stringed Instrument Repairer · Woodwind Instrument Technician (Woodwind Instrument Tech) · Accordion Repairer · Accordion Tuner

Job family: Installation, Maintenance, and Repair Occupations

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A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-49-9063-00/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.

26th-percentile task overlap — yet about 600 openings a year (+1.4% 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 34th -0.5
LLM task exposure, γ (OpenAI / Eloundou) Low 6th 0.0
AI assistant applicability (Microsoft) Moderate 45th 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.0), and including AI-powered software (γ 0.0). 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 · 81st 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.

Compare instrument pitches with tuning tool pitches to tune instruments. 0.2%

Job outlook

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

Outlook About average · +1.4% by 2034
Projected annual openings 600
Employment 2024 → 2034 6,200 → 6,300

“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.

14% mean task exposure (2025)
14th percentile of 427 placed occupations
+4 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Musical Instrument Makers and Tuners · 7312 14% 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 37 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Emerging tasks

Newer responsibilities O*NET has flagged as growing for this occupation.

  • Adjust the neck angle on fretted instruments.

Work activities

Knowledge, skills & abilities

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

Abilities

Hearing Sensitivity 4.4
Arm-Hand Steadiness 4.0
Manual Dexterity 4.0
Finger Dexterity 4.0
Near Vision 4.0
Control Precision 3.8
Auditory Attention 3.8
Problem Sensitivity 3.6
Visualization 3.6
Deductive Reasoning 3.5
Inductive Reasoning 3.4
Flexibility of Closure 3.4
Selective Attention 3.3
Information Ordering 3.1
Category Flexibility 3.1
Oral Comprehension 3.0
Written Comprehension 3.0
Oral Expression 3.0
Speed of Closure 3.0
Multilimb Coordination 3.0
Far Vision 3.0

Knowledge

Customer and Personal Service 4.3
Mechanical 3.8
Fine Arts 3.5
English Language 3.4
Administration and Management 2.9
Sales and Marketing 2.9

Transferable skills

Quality Control Analysis 3.9
Troubleshooting 3.8
Repairing 3.8
Service Orientation 3.1
Complex Problem Solving 3.1
Judgment and Decision Making 3.1
Equipment Selection 3.0
Equipment Maintenance 3.0
Time Management 3.0

Essential skills

Critical Thinking 3.6
Reading Comprehension 3.0
Active Listening 3.0
Speaking 3.0

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
Katsura Shareware KS Strobe Tuner Analytical or scientific software
Katsura Shareware ProLevel Analytical or scientific software
Katsura Shareware SoundFrames Analytical or scientific software
Mensurix Audio Analytical or scientific software
Reyburn CyberTuner Analytical or scientific software
TonalEnergy Tuner & Metronome Analytical or scientific software
Tunable Instrument Tuner Analytical or scientific software
TuneLab Analytical or scientific software
Tunic OnlyPure Analytical or scientific software
Veritune Verituner Analytical or scientific 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.

Importance of Being Exact or Accurate 4.9
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 4.9
Telephone Conversations 4.8
E-Mail 4.8
Indoors, Environmentally Controlled 4.8
Freedom to Make Decisions 4.7
Face-to-Face Discussions with Individuals and Within Teams 4.5
Determine Tasks, Priorities and Goals 4.4
Spend Time Making Repetitive Motions 4.0
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 4.0
Time Pressure 3.9
Deal With External Customers or the Public in General 3.8
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 3.8
Frequency of Decision Making 3.8
Importance of Repeating Same Tasks 3.6
Spend Time Sitting 3.4
Impact of Decisions on Co-workers or Company Results 3.3
Written Letters and Memos 3.3
Exposed to Contaminants 3.2
Contact With Others 3.2
Exposed to Hazardous Equipment 3.1
Exposed to Minor Burns, Cuts, Bites, or Stings 2.8
Spend Time Standing 2.8
Spend Time Bending or Twisting Your Body 2.7
Exposed to Cramped Work Space, Awkward Positions 2.6
Consequence of Error 2.6
Level of Competition 2.6
Health and Safety of Other Workers 2.5
Physical Proximity 2.3
Exposed to Hazardous Conditions 2.3
Dealing With Unpleasant, Angry, or Discourteous People 2.2
Work With or Contribute to a Work Group or Team 2.1
In an Enclosed Vehicle or Operate Enclosed Equipment 2.1
Conflict Situations 2.0
Indoors, Not Environmentally Controlled 1.9
Work Outcomes and Results of Other Workers 1.9
Spend Time Kneeling, Crouching, Stooping, or Crawling 1.8
Exposed to Extremely Bright or Inadequate Lighting Conditions 1.7
Spend Time Walking or Running 1.7
Coordinate or Lead Others in Accomplishing Work Activities 1.7

How to get in

Job zone
Zone 3 — Job Zone Three: Medium Preparation Needed
Education
Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree.
Typical entry-level education
High school diploma or equivalent · BLS, the typical path — not a requirement
Related experience
Previous work-related skill, knowledge, or experience is required for these occupations. For example, an electrician must have completed three or four years of apprenticeship or several years of vocational training, and often must have passed a licensing exam, in order to perform the job.
Preparation level
SVP (6.0 to < 7.0) — total schooling plus on-the-job experience.

What to study: Mechanic and Repair Technologies/Technicians . 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 54.5%
Less than a High School Diploma 18.2%
High School Diploma 9.1%
Bachelor's Degree 9.1%
Some College Courses 4.5%
Associate's Degree (or other 2-year degree) 4.5%

Interests & work styles

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

Career interests (Holland / RIASEC)

Realistic 6.4
Conventional 3.5
Artistic 3.5
Investigative 2.6

Interest areas

Mechanics/Electronics 4.8
Physical/Manual Labor 3.7
Music 3.5
Construction/Woodwork 3.0
Engineering 2.7
Applied Arts and Design 2.6
Visual Arts 2.0
Performing Arts 1.9
Personal Service 1.6

Work styles

Attention to Detail 2.6
Dependability 2.1
Cautiousness 1.8

Wages & employment

U.S. · annual wages (BLS OEWS)

$30k10th$36k25th$45kMedian$57k75th$73k90th
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.
6k20246k2034 (proj.)+1.4% · About average
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $30,130
25th percentile $35,820
Median (50th) $45,320
75th percentile $56,960
90th percentile $73,430
People employed 5,730

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
Retail Trade · Sector 3,670 $44,750
Other Services (except Public Administration) · Sector 1,060 $45,120
Manufacturing · Sector 460 $48,170
Educational Services · Sector 220 $63,780
Arts, Entertainment, and Recreation · Sector 110 $66,460
Wholesale Trade · Sector $35,600

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 6.44× 1,060
Retail Trade · Sector 6.33× 3,670
Arts, Entertainment, and Recreation · Sector 1.12× 110
Manufacturing · Sector 0.97× 460
Educational Services · Sector 0.43× 220

Part of the Advanced Manufacturing career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Musical Instrument Repairers and Tuners sits at the 26th percentile of AI task-overlap and the 20th percentile of median pay, placed here against 10 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Musical Instrument Repairers and Tuners Timing Device Assemblers and Adjusters Aircraft Structure, Surfaces, Rigging, and Systems Assemblers Tool Grinders, Filers, and Sharpeners Coil Winders, Tapers, and Finishers Electric Motor, Power Tool, and Related Repairers Calibration Technologists and Technicians 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 Musical Instrument Repairers and Tuners — 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 14th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Musical Instrument Repairers and Tuners show 26th-percentile AI task overlap — and about 600 annual U.S. openings

  • Musical Instrument Repairers and Tuners rank in the 26th 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 600 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 about average (+1.4%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $45,320, across about 5,730 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Musical Instrument Repairers and Tuners show 26th-percentile AI task overlap — and about 600 annual U.S. openings

• Musical Instrument Repairers and Tuners rank in the 26th 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 600 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 about average (+1.4%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $45,320, across about 5,730 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Musical Instrument Repairers and Tuners". https://singulariki.com/roles/role-49-9063-00
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. "Musical Instrument Repairers and Tuners." 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-49-9063-00

APA

Singulariki. (2026). Musical Instrument Repairers and Tuners. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-49-9063-00

BibTeX
@misc{singulariki-role-49-9063-00,
  title  = {Musical Instrument Repairers and Tuners},
  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-49-9063-00}
}

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

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