# First-Line Supervisors of Food Preparation and Serving Workers

> Directly supervise and coordinate activities of workers engaged in preparing and serving food.

- **SOC code:** 35-1012.00
- **Canonical URL:** https://singulariki.com/roles/role-35-1012-00
- **Also known as:** Dietary Supervisor, Food Service Supervisor, Kitchen Manager, Restaurant Manager, Cafeteria Manager, Dining Services Director, Food Production Supervisor, Food and Beverage Director
- **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):
- Compile and balance cash receipts at the end of the day or shift.
- Forecast staff, equipment, and supply requirements, based on a master menu.
- Assess nutritional needs of patients, plan special menus, supervise the assembly of regular and special diet trays, and oversee the delivery of food trolleys to hospital patients.
- Perform personnel actions, such as hiring and firing staff, providing employee orientation and training, and conducting supervisory activities, such as creating work schedules or organizing employee time sheets.
- Record production, operational, and personnel data on specified forms.
- Resolve customer complaints regarding food service.
- Estimate ingredients and supplies required to prepare a recipe.
- Train workers in food preparation, and in service, sanitation, and safety procedures.
- Assign duties, responsibilities, and work stations to employees in accordance with work requirements.
- Present bills and accept payments.
- Perform food preparation and serving duties, such as carving meat, preparing flambe dishes, or serving wine and liquor.
- Purchase or requisition supplies and equipment needed to ensure quality and timely delivery of services.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Customer and Personal Service _(knowledge)_
- Management of Personnel Resources _(transferable_skill)_
- Oral Comprehension _(ability)_
- Oral Expression _(ability)_
- Speaking _(essential_skill)_
- Monitoring _(essential_skill)_
- Coordination _(transferable_skill)_
- Problem Sensitivity _(ability)_
- Active Listening _(essential_skill)_
- Instructing _(transferable_skill)_
- Deductive Reasoning _(ability)_
- Service Orientation _(transferable_skill)_

**Skills in demand:**
- Instructing _(Specialized Skill)_
- Deductive Reasoning _(Common Skill)_
- Active Listening _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- English Language _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Time Management _(Common Skill)_
- Social Perceptiveness _(Common Skill)_
- Negotiation _(Common Skill)_
- Learning Strategies _(Specialized Skill)_
- Critical Thinking _(Common Skill)_
- Writing _(Common Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Project _(hot technology)_
- Microsoft Word _(hot technology)_
- ADP Workforce Now
- CaterPro
- CBORD Foodservice Suite
- CBORD Group Menu Management System
- Compeat Restaurant Accounting Systems
- Compris Advanced Manager's Workstation

## AI exposure & outlook

- **AI task-overlap index:** 47th 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):** 65th percentile (Moderate) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 37th percentile (Moderate) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 53rd percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 6.0% growth (About average); 183.9k annual openings; 1,215k → 1,288k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $42,010; 1,187,460 employed.

## How people actually use AI here

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

- **Automation vs augmentation:** 39% automation, 50% augmentation (usage-weighted).
- **Autonomy median:** 4.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** directive.

**Tasks most handed to AI here:**
- Train workers in food preparation, and in service, sanitation, and safety procedures. _(1.7% of measured AI use; learning)_
- Specify food portions and courses, production and time sequences, and workstation and equipment arrangements. _(1.2% of measured AI use; directive)_
- Develop departmental objectives, budgets, policies, procedures, and strategies. _(0.3% of measured AI use; task iteration)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me train workers in food preparation, and in service, sanitation, and safety procedures.
- Help me specify food portions and courses, production and time sequences, and workstation and equipment arrangements.
- Help me develop departmental objectives, budgets, policies, procedures, and strategies.

## 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-35-1012-00_