# First-Line Supervisors of Retail Sales Workers

> Directly supervise and coordinate activities of retail sales workers in an establishment or department. Duties may include management functions, such as purchasing, budgeting, accounting, and personnel work, in addition to supervisory duties.

- **SOC code:** 41-1011.00
- **Canonical URL:** https://singulariki.com/roles/role-41-1011-00
- **Also known as:** Department Manager, Meat Department Manager, Shift Manager, Store Manager, Bakery Manager, Delicatessen Manager, Department Supervisor, Grocery Manager
- **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 customer service by greeting and assisting customers and responding to customer inquiries and complaints.
- Direct and supervise employees engaged in sales, inventory-taking, reconciling cash receipts, or in performing services for customers.
- Formulate pricing policies for merchandise, according to profitability requirements.
- Examine merchandise to ensure that it is correctly priced and displayed and that it functions as advertised.
- Monitor sales activities to ensure that customers receive satisfactory service and quality goods.
- Instruct staff on how to handle difficult and complicated sales.
- Assign employees to specific duties.
- Hire, train, and evaluate personnel in sales or marketing establishments, promoting or firing workers when appropriate.
- Keep records of purchases, sales, and requisitions.
- Plan and coordinate advertising campaigns and sales promotions and prepare merchandise displays and advertising copy.
- Perform work activities of subordinates, such as cleaning and organizing shelves and displays and selling merchandise.
- Plan and prepare work schedules and keep records of employees' work schedules and time cards.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Customer and Personal Service _(knowledge)_
- Administration and Management _(knowledge)_
- Sales and Marketing _(knowledge)_
- Active Listening _(essential_skill)_
- Oral Comprehension _(ability)_
- Oral Expression _(ability)_
- Speech Clarity _(ability)_
- English Language _(knowledge)_
- Speaking _(essential_skill)_
- Service Orientation _(transferable_skill)_
- Speech Recognition _(ability)_
- Education and Training _(knowledge)_

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

**Tools & technology:**
- Microsoft Office software _(hot technology, in demand)_
- Adobe Acrobat _(hot technology)_
- Adobe Illustrator _(hot technology)_
- Adobe InDesign _(hot technology)_
- Adobe Photoshop _(hot technology)_
- Apple Safari _(hot technology)_
- Autodesk Revit _(hot technology)_
- Facebook _(hot technology)_
- Google Analytics _(hot technology)_
- Google Docs _(hot technology)_
- IBM SPSS Statistics _(hot technology)_
- Kronos Workforce Timekeeper _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 55th percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 48th percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 77th percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 42nd percentile (Moderate) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 38th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** -5.0% growth (Declining); 125.1k annual openings; 1,432.6k → 1,360.3k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $47,320; 1,113,160 employed.

## How people actually use AI here

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

- **Automation vs augmentation:** 33% automation, 45% augmentation (usage-weighted).
- **Autonomy median:** 4.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** task iteration.

**Tasks most handed to AI here:**
- Provide customer service by greeting and assisting customers and responding to customer inquiries and complaints. _(2.6% of measured AI use; directive)_
- Confer with company officials to develop methods and procedures to increase sales, expand markets, and promote business. _(1.6% of measured AI use; task iteration)_
- Instruct staff on how to handle difficult and complicated sales. _(1.5% of measured AI use; task iteration)_
- Plan and coordinate advertising campaigns and sales promotions and prepare merchandise displays and advertising copy. _(0.5% of measured AI use; task iteration)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me provide customer service by greeting and assisting customers and responding to customer inquiries and complaints.
- Help me confer with company officials to develop methods and procedures to increase sales, expand markets, and promote business.
- Help me instruct staff on how to handle difficult and complicated sales.
- Help me plan and coordinate advertising campaigns and sales promotions and prepare merchandise displays and advertising copy.

## 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-41-1011-00_
