# Hosts and Hostesses, Restaurant, Lounge, and Coffee Shop

> Welcome patrons, seat them at tables or in lounge, and help ensure quality of facilities and service.

- **SOC code:** 35-9031.00
- **Canonical URL:** https://singulariki.com/roles/role-35-9031-00
- **Also known as:** Greeter, Hospitality Coordinator, Host, Hostess, Buffet Hostess, Dining Coordinator, General Teller, Host Coordinator
- **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):
- Provide guests with menus.
- Greet guests and seat them at tables or in waiting areas.
- Maintain contact with kitchen staff, management, serving staff, and customers to ensure that dining details are handled properly and customers' concerns are addressed.
- Assign patrons to tables suitable for their needs and according to rotation so that servers receive an appropriate number of seatings.
- Speak with patrons to ensure satisfaction with food and service, to respond to complaints, or to make conversation.
- Inspect dining and serving areas to ensure cleanliness and proper setup.
- Operate cash registers to accept payments for food and beverages.
- Supervise and coordinate activities of dining room staff to ensure that patrons receive prompt and courteous service.
- Answer telephone calls and respond to inquiries or transfer calls.
- Assist other restaurant workers by serving food and beverages, or by bussing tables.
- Inspect restrooms for cleanliness and availability of supplies, and clean restrooms when necessary.
- Direct patrons to coatrooms and waiting areas, such as lounges.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Customer and Personal Service _(knowledge)_
- Oral Comprehension _(ability)_
- Oral Expression _(ability)_
- English Language _(knowledge)_
- Active Listening _(essential_skill)_
- Speech Recognition _(ability)_
- Speaking _(essential_skill)_
- Service Orientation _(transferable_skill)_
- Speech Clarity _(ability)_
- Social Perceptiveness _(transferable_skill)_
- Written Comprehension _(ability)_
- Problem Sensitivity _(ability)_

**Skills in demand:**
- English Language _(Common Skill)_
- Active Listening _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Social Perceptiveness _(Common Skill)_
- Microsoft Windows _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Facebook _(Specialized Skill)_
- Deductive Reasoning _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Information Ordering _(Specialized Skill)_
- Critical Thinking _(Common Skill)_

**Tools & technology:**
- Facebook _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft Windows _(hot technology)_
- Avenista Table Reservations
- GuestBridge Reserve
- Hospitality Control Solutions Aloha Point-of-Sale
- iMagic Restaurant Reservation
- OpenTable
- Reservation software

## AI exposure & outlook

- **AI task-overlap index:** 57th percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 47th percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 38th percentile (Moderate) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 89th percentile (High) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 94th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** -1.5% growth (Declining); 107.7k annual openings; 429.9k → 423.5k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $30,380; 427,150 employed.

## How people actually use AI here

Anthropic Economic Index — measured AI conversations mapped to this occupation's tasks:

- **Automation vs augmentation:** 41% automation, 57% augmentation (usage-weighted).
- **Autonomy median:** 3.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** task iteration.

**Tasks most handed to AI here:**
- Plan parties or other special events and services. _(16.8% of measured AI use; task iteration)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me plan parties or other special events and services.

## 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-35-9031-00_