# Ushers, Lobby Attendants, and Ticket Takers

> Assist patrons at entertainment events by performing duties, such as collecting admission tickets and passes from patrons, assisting in finding seats, searching for lost articles, and helping patrons locate such facilities as restrooms and telephones.

- **SOC code:** 39-3031.00
- **Canonical URL:** https://singulariki.com/roles/role-39-3031-00
- **Also known as:** Lobby Attendant, Ticket Taker, Usher, Visitor Services Representative, Docent, Ticket Attendant, Visitor Services Assistant, Visitor Services Associate
- **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):
- Greet patrons attending entertainment events.
- Operate refreshment stands during intermission or obtain refreshments for press box patrons during performances.
- Count and record number of tickets collected.
- Lead tours and answer visitors' questions about the exhibits.
- Sell or collect admission tickets, passes, or facility memberships from patrons at entertainment events.
- Clean facilities.
- Settle seating disputes or help solve other customer concerns.
- Manage inventory or sale of artist merchandise.
- Examine tickets or passes to verify authenticity, using criteria such as color or date issued.
- Provide assistance with patrons' special needs, such as helping those with wheelchairs.
- Guide patrons to exits or provide other instructions or assistance in case of emergency.
- Verify credentials of patrons desiring entrance into press box and permit only authorized persons to enter.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Customer and Personal Service _(knowledge)_
- English Language _(knowledge)_
- Social Perceptiveness _(transferable_skill)_
- Speech Clarity _(ability)_
- Speaking _(essential_skill)_
- Service Orientation _(transferable_skill)_
- Oral Comprehension _(ability)_
- Oral Expression _(ability)_
- Public Safety and Security _(knowledge)_
- Active Listening _(essential_skill)_
- Near Vision _(ability)_
- Communications and Media _(knowledge)_

**Skills in demand:**
- English Language _(Common Skill)_
- Social Perceptiveness _(Common Skill)_
- Active Listening _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Microsoft Word _(Common Skill)_
- Microsoft PowerPoint _(Common Skill)_
- Microsoft Outlook _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- Negotiation _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Information Ordering _(Specialized Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Word _(hot technology)_
- Microsoft Windows Mobile
- Ticket Alternative Express Entry
- Ticket scanning software

## AI exposure & outlook

- **AI task-overlap index:** 45th percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 42nd percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 22nd percentile (Low) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 74th percentile (High) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 91st percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 1.2% growth (About average); 30.8k annual openings; 121.7k → 123.1k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $31,150; 119,210 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/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **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
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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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-39-3031-00_