Market signal
Independent published positions, read together — not a forecast.
- About average employment outlook (+3.8% by 2034)
- 1,500 openings/yr
- High AI exposure
Occupation · SOC 27-2091.00
Play prerecorded music for live audiences at venues or events such as clubs, parties, or wedding receptions. May use techniques such as mixing, cutting, or sampling to manipulate recordings. May also perform as emcee (master of ceremonies).
Also called: Announcer · Club Disc Jockey (Club DJ) · DJ (Disk Jockey) · DJ Assistant (Disc Jockey Assistant) · Deejay (DJ) · Disc Jockey (DJ) · Emcee · Entertainer · Event Disc Jockey (Event DJ) · Event Entertainer · Event Host · Event Master of Ceremonies (Event MC)
Job family: Arts, Design, Entertainment, Sports, and Media Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-27-2091-00/context.md directly.
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.
Independent published positions, read together — not a forecast.
66th-percentile task overlap — yet about 1,500 openings a year (+3.8% projected, BLS) . What exposure means →
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.
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 |
|---|---|---|---|
| LLM task exposure, γ (OpenAI / Eloundou) Moderate | 52nd | 0.6 | |
| AI assistant applicability (Microsoft) High | 81st | 0.3 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.4), with simple added tooling (β 0.5), 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.
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +3.8% by 2034 |
| Projected annual openings | 1,500 |
| Employment 2024 → 2034 | 15,400 → 16,000 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
All 19 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
| Example | Category | |
|---|---|---|
| Microsoft Office software | Office suite software | Hot technology In demand |
| Microsoft Excel | Spreadsheet software | Hot technology |
| Microsoft Word | Word processing software | Hot technology |
| Adobe Audition | Music or sound editing software | |
| Audion Laboratories VoxPro | Music or sound editing software | |
| Avid Technology Pro Tools | Music or sound editing software |
What to study: Communications Technologies/Technicians and Support Services , Engineering/Engineering-Related Technologies/Technicians , Visual and Performing Arts . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
The interests and personal qualities O*NET associates with people who do this work.
| Music | 5.5 | |
| Public Speaking | 4.3 | |
| Media | 4.0 | |
| Performing Arts | 4.0 | |
| Personal Service | 3.9 | |
| Applied Arts and Design | 3.4 | |
| Marketing/Advertising | 2.6 | |
| Sales | 2.3 |
| Artistic | 4.8 | |
| Enterprising | 3.5 | |
| Conventional | 3.5 | |
| Realistic | 3.0 | |
| Social | 2.9 |
| Dependability | 3.0 | |
| Social Orientation | 2.5 | |
| Optimism | 2.2 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | — |
| 25th percentile | — |
| Median (50th) | — |
| 75th percentile | — |
| 90th percentile | — |
| People employed | 8,170 |
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 | 4,090 | — |
| Accommodation and Food Services · Sector | 2,370 | — |
| Other Services (except Public Administration) · Sector | 990 | — |
| Fitness and Recreational Sports Centers · National industry | 420 | — |
| Information · Sector | 170 | — |
| Radio Broadcasting Stations · National industry | 150 | — |
| Management of Companies and Enterprises · Sector | — | — |
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 |
|---|---|---|
| Radio Broadcasting Stations · National industry | 54.67× | 150 |
| Arts, Entertainment, and Recreation · Sector | 29.21× | 4,090 |
| Fitness and Recreational Sports Centers · National industry | 12.57× | 420 |
| Other Services (except Public Administration) · Sector | 4.22× | 990 |
| Accommodation and Food Services · Sector | 3.14× | 2,370 |
| Information · Sector | 1.1× | 170 |
Part of the Arts, Entertainment, & Design career cluster.
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for Disc Jockeys, Except Radio — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
See where this work sits in the bigger picture.
Disc Jockeys, Except Radio show 66th-percentile AI task overlap — and about 1,500 annual U.S. openings
Disc Jockeys, Except Radio show 66th-percentile AI task overlap — and about 1,500 annual U.S. openings • Disc Jockeys, Except Radio rank in the 66th 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 1,500 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 (+3.8%) from 2024 to 2034. (BLS Employment Projections 2024–34) Source: Singulariki — "Disc Jockeys, Except Radio". https://singulariki.com/roles/role-27-2091-00 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.
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.
Singulariki. "Disc Jockeys, Except Radio." 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; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/roles/role-27-2091-00
Singulariki. (2026). Disc Jockeys, Except Radio. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-27-2091-00
@misc{singulariki-role-27-2091-00,
title = {Disc Jockeys, Except Radio},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-27-2091-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.