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Singulariki

Musicians and Singers

Occupation · SOC 27-2042.00

Play one or more musical instruments or sing. May perform on stage, for broadcasting, or for sound or video recording.

Also called: Choir Member · Musician · Singer · Violinist · Chorister · Gospel Singer · Opera Singer · Orchestra Musician · Percussionist · Vocalist · Accompanist · Bandperson

Job family: Arts, Design, Entertainment, Sports, and Media Occupations

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A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-27-2042-00/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.

38th-percentile task overlap — yet about 19,400 openings a year (+1.1% 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) Moderate 48th 0.6
AI assistant applicability (Microsoft) Low 25th 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.2), with simple added tooling (β 0.4), and including AI-powered software (γ 0.6). 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.

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 0.1 · 25th percentile among occupations · Low

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.

Compose songs or create vocal arrangements. 1.6%
Interpret or modify music, applying knowledge of harmony, melody, rhythm, and voice production to individualize presentations and maintain audience interest. 1.5%
Seek out and learn new music suitable for live performance or recording. 0.6%
Collaborate with a manager or agent who handles administrative details, finds work, and negotiates contracts. 0.6%
Research particular roles to find out more about a character, or the time and place in which a piece is set. 0.3%
Transpose music to alternate keys, or to fit individual styles or purposes. 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 About average · +1.1% by 2034
Projected annual openings 19,400
Employment 2024 → 2034 169,800 → 171,600

“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.

28% mean task exposure (2025)
52nd percentile of 427 placed occupations
−9 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Musicians, Singers and Composers · 2652 28% 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 30 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).

Knowledge

Fine Arts 4.5
English Language 3.1

Abilities

Oral Comprehension 3.9
Oral Expression 3.9
Hearing Sensitivity 3.8
Written Comprehension 3.5
Memorization 3.5
Auditory Attention 3.5
Speech Recognition 3.5
Speech Clarity 3.5
Originality 3.4
Near Vision 3.4
Speed of Closure 3.3
Written Expression 3.1
Flexibility of Closure 3.1
Manual Dexterity 3.1
Finger Dexterity 3.1
Fluency of Ideas 3.0
Information Ordering 3.0
Perceptual Speed 3.0
Arm-Hand Steadiness 3.0
Problem Sensitivity 2.9
Deductive Reasoning 2.9
Inductive Reasoning 2.9
Category Flexibility 2.9
Selective Attention 2.9
Visualization 2.8

Essential skills

Speaking 3.4
Active Listening 3.3
Monitoring 3.3
Reading Comprehension 3.1
Critical Thinking 3.0
Writing 2.8
Active Learning 2.8

Transferable skills

Social Perceptiveness 3.1
Coordination 3.0
Service Orientation 2.9
Time Management 2.9
Persuasion 2.8
Systems Analysis 2.8

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
Microsoft Word Word processing software Hot technology
SAP software Enterprise resource planning ERP software Hot technology
Acoustica Mixcraft Music or sound editing software
Apple GarageBand Music or sound editing software
Appointment scheduling software Calendar and scheduling software
Audacity Music or sound editing software
Avid Technology Pro Tools Music or sound editing software
Avid Technology Sibelius Music or sound editing software
Blogging software Web page creation and editing software
Cantovation Sing & See Computer based training software
Email software Electronic mail software
Financial tracking software Accounting software
Instagram Web page creation and editing software
iZotope Ozone Music or sound editing software
MakeMusic Finale Music or sound editing software
Snapchat Instant messaging software
TUBA software Data base user interface and query software
Twitter Instant messaging software
Web browser software Internet browser software
YouTube Video creation and editing 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 4.6
Work With or Contribute to a Work Group or Team 4.6
Physical Proximity 4.6
Contact With Others 4.2
Spend Time Sitting 4.1
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 4.0
Indoors, Environmentally Controlled 4.0
Time Pressure 3.8
Face-to-Face Discussions with Individuals and Within Teams 3.7
Level of Competition 3.6
E-Mail 3.5
Importance of Repeating Same Tasks 3.5
Spend Time Making Repetitive Motions 3.3
Freedom to Make Decisions 3.2
Coordinate or Lead Others in Accomplishing Work Activities 3.2
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 3.1
Frequency of Decision Making 3.1
Impact of Decisions on Co-workers or Company Results 2.9
Deal With External Customers or the Public in General 2.8
Consequence of Error 2.4
Determine Tasks, Priorities and Goals 2.3
Work Outcomes and Results of Other Workers 2.3
Dealing With Unpleasant, Angry, or Discourteous People 2.1
Written Letters and Memos 2.1
Conflict Situations 2.1
Spend Time Standing 2.1
Exposed to Extremely Bright or Inadequate Lighting Conditions 2.1
Telephone Conversations 2.0
Exposed to Cramped Work Space, Awkward Positions 2.0
Spend Time Bending or Twisting Your Body 1.9
Public Speaking 1.8
Pace Determined by Speed of Equipment 1.8
Indoors, Not Environmentally Controlled 1.7
Outdoors, Under Cover 1.7
In an Enclosed Vehicle or Operate Enclosed Equipment 1.6
Exposed to Contaminants 1.5
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 1.5
Spend Time Walking or Running 1.5
Health and Safety of Other Workers 1.5
Outdoors, Exposed to All Weather Conditions 1.4

How to get in

Job zone
Zone 4 — Job Zone Four: Considerable Preparation Needed
Education
Most of these occupations require a four-year bachelor's degree, but some do not.
Typical entry-level education
No formal educational credential · BLS, the typical path — not a requirement
Related experience
A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in accounting to be considered qualified.
Preparation level
SVP (7.0 to < 8.0) — total schooling plus on-the-job experience.

What to study: Visual and Performing Arts . 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.

Bachelor's Degree 29.1%
Master's Degree 17.1%
High School Diploma 12.1%
Doctoral Degree 9.3%
Some College Courses 8.6%
Post-Doctoral Training 3.3%
Post-Baccalaureate Certificate 0.8%
Post-Secondary Certificate 0.3%

Interests & work styles

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

Interest areas

Music 7.0
Performing Arts 6.6
Media 4.6
Public Speaking 4.4
Marketing/Advertising 2.6
Applied Arts and Design 2.6
Humanities 2.4
Teaching/Education 2.3

Career interests (Holland / RIASEC)

Artistic 6.7
Enterprising 3.4
Social 3.4
Realistic 2.9

Work styles

Achievement Orientation 5.0
Social Orientation 4.0
Perseverance 3.0
Self-Confidence 2.4

Wages & employment

U.S. · annual wages (BLS OEWS)

170k2024172k2034 (proj.)+1.1% · 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
25th percentile
Median (50th)
75th percentile
90th percentile
People employed 38,350

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
Arts, Entertainment, and Recreation · Sector 24,770
Other Services (except Public Administration) · Sector 7,650
Educational Services · Sector 4,400
Theater Companies and Dinner Theaters · National industry 2,520
Accommodation and Food Services · Sector 450
Information · Sector 410
Health Care and Social Assistance · Sector 70
Transportation and Warehousing · Sector 60
Professional, Scientific, and Technical Services · Sector 60
Retail Trade · Sector

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
Theater Companies and Dinner Theaters · National industry 139.96× 2,520
Arts, Entertainment, and Recreation · Sector 37.69× 24,770
Other Services (except Public Administration) · Sector 6.95× 7,650
Educational Services · Sector 1.3× 4,400
Information · Sector 0.57× 410
Accommodation and Food Services · Sector 0.13× 450

Part of the Arts, Entertainment, & Design career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay AI task-overlap (horizontal) versus median pay (vertical) for 10 occupations adjacent to Musicians and Singers. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Musical Instrument Repairers and Tuners Choreographers Music Therapists Self-Enrichment Teachers Music Directors and Composers Producers and Directors Poets, Lyricists and Creative Writers 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 Musicians and Singers — 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 52nd percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Musicians and Singers show 38th-percentile AI task overlap — and about 19,400 annual U.S. openings

  • Musicians and Singers rank in the 38th percentile (Moderate 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 19,400 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 (+1.1%) from 2024 to 2034.BLS Employment Projections 2024–34
Copy the whole kit
Musicians and Singers show 38th-percentile AI task overlap — and about 19,400 annual U.S. openings

• Musicians and Singers rank in the 38th percentile (Moderate 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 19,400 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 (+1.1%) from 2024 to 2034. (BLS Employment Projections 2024–34)

Source: Singulariki — "Musicians and Singers". https://singulariki.com/roles/role-27-2042-00
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. "Musicians and Singers." 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-27-2042-00

APA

Singulariki. (2026). Musicians and Singers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-27-2042-00

BibTeX
@misc{singulariki-role-27-2042-00,
  title  = {Musicians and Singers},
  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-27-2042-00}
}

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

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