# Demonstrators and Product Promoters

> Demonstrate merchandise and answer questions for the purpose of creating public interest in buying the product. May sell demonstrated merchandise.

- **SOC code:** 41-9011.00
- **Canonical URL:** https://singulariki.com/roles/role-41-9011-00
- **Also known as:** Demonstrator, In Store Demonstrator, Merchandiser, Product Demonstrator, Brand Ambassador, Demo Specialist (Demonstration Specialist), Event Specialist, Field Merchandiser
- **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 product samples, coupons, informational brochures, or other incentives to persuade people to buy products.
- Sell products being promoted and keep records of sales.
- Keep areas neat while working and return items to correct locations following demonstrations.
- Demonstrate or explain products, methods, or services to persuade customers to purchase products or use services.
- Record and report demonstration-related information, such as the number of questions asked by the audience or the number of coupons distributed.
- Suggest specific product purchases to meet customers' needs.
- Research or investigate products to be presented to prepare for demonstrations.
- Set up and arrange displays or demonstration areas to attract the attention of prospective customers.
- Identify interested and qualified customers to provide them with additional information.
- Visit trade shows, stores, community organizations, or other venues to demonstrate products or services or to answer questions from potential customers.
- Transport, assemble, and disassemble materials used in presentations.
- Practice demonstrations to ensure that they will run smoothly.

## Skills, tools, capabilities

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

**Skills in demand:**
- Active Listening _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- English Language _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Writing _(Common Skill)_
- Time Management _(Common Skill)_
- Social Perceptiveness _(Common Skill)_
- Microsoft Word _(Common Skill)_
- Microsoft Windows _(Common Skill)_
- Microsoft PowerPoint _(Common Skill)_
- Microsoft Outlook _(Common Skill)_

**Tools & technology:**
- Hypertext markup language HTML _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Windows _(hot technology)_
- Microsoft Word _(hot technology)_
- Zoom _(hot technology)_
- Eko
- Email software
- Social media sites
- Web browser software

## AI exposure & outlook

- **AI task-overlap index:** 54th percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 51st percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 25th percentile (Low) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 90th percentile (High) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 47th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** -0.1% growth (Declining); 14k annual openings; 79.2k → 79.1k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $37,960; 64,770 employed.

## How people actually use AI here

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

- **Automation vs augmentation:** 44% automation, 48% augmentation (usage-weighted).
- **Autonomy median:** 4.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** directive.

**Tasks most handed to AI here:**
- Suggest specific product purchases to meet customers' needs. _(2.8% of measured AI use; directive)_
- Demonstrate or explain products, methods, or services to persuade customers to purchase products or use services. _(2.2% of measured AI use; task iteration)_
- Provide product information, using lectures, films, charts, or slide shows. _(0.9% of measured AI use; directive)_
- Prepare or alter presentation contents to target specific audiences. _(0.6% of measured AI use; task iteration)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me suggest specific product purchases to meet customers' needs.
- Help me demonstrate or explain products, methods, or services to persuade customers to purchase products or use services.
- Help me provide product information, using lectures, films, charts, or slide shows.
- Help me prepare or alter presentation contents to target specific audiences.

## 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

---
_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-41-9011-00_