# Disc Jockeys, Except Radio

> 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).

- **SOC code:** 27-2091.00
- **Canonical URL:** https://singulariki.com/roles/role-27-2091-00
- **Also known as:** Announcer, Club Disc Jockey (Club DJ), DJ (Disk Jockey), DJ Assistant (Disc Jockey Assistant), Deejay (DJ), Disc Jockey (DJ), Emcee, Entertainer
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Accept music requests from event guests.
- Adhere to schedules to keep events running on time.
- Advertise services using media such as internet advertising and brochures.
- Assemble audio and video equipment.
- Collect payments from customers.
- Communicate with clients or venue owners to determine event information, such as music preferences, scheduling, and anticipated attendance.
- Conduct sound checks to ensure equipment is working and appropriate for the venue.
- Create itemized invoices to record amounts due for services rendered.
- Create tailored playlists by aligning music with event functions.
- Develop written contracts for bookings.
- Encourage guests to dance using group dances, competitions, or other party games.
- Lead party games, such as dance-offs or prize giveaways.

## Skills, tools, capabilities

**Skills in demand:**
- Microsoft Word _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- Adobe Audition _(Specialized Skill)_

**Tools & technology:**
- Microsoft Office software _(hot technology, in demand)_
- Microsoft Excel _(hot technology)_
- Microsoft Word _(hot technology)_
- Adobe Audition
- Audion Laboratories VoxPro
- Avid Technology Pro Tools

## AI exposure & outlook

- **AI task-overlap index:** 66th percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **LLM task exposure, γ (OpenAI / Eloundou):** 52nd percentile (Moderate) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 81st percentile (High) — source: microsoft_applicability.
- **Projected employment (BLS 2024–34):** 3.8% growth (About average); 1.5k annual openings; 15.4k → 16k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median —; 8,170 employed.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-27-2091-00_