Headline risk
40%
High RiskDemonstrators and product promoters
United States AI Work Index tracks this occupation on the shared structural baseline and then layers on local demand resilience, wages, and confidence.
Why This Score
Share of job tasks that overlap with current AI capabilities
Median annual wage
Projected employment change over 10 years
Typical preparation needed for this occupation
Occupation profile
Demonstrate merchandise and answer questions for the purpose of creating public interest in buying the product. May sell demonstrated merchandise.
Task evidence
100% weighted task match · 7% effective coverage
Scores combine AI task overlap, human advantages, and local demand. How it works
United States Now
Median Wage
USD 37,960
Employment 2024
79.2K
Projected Change (2024–34)
-0.1%
Openings (2024–34)
14.0K
Wage distribution
Demand outlook
Projections published, but no prose outlook available.
Role Profile
Tasks
- 1. Provide product samples, coupons, informational brochures, or other incentives to persuade people to buy products. AI use: 0%
- 2. Demonstrate or explain products, methods, or services to persuade customers to purchase products or use services. AI use: 0%
- 3. Keep areas neat while working and return items to correct locations following demonstrations. AI use: 0%
- 4. Set up and arrange displays or demonstration areas to attract the attention of prospective customers. AI use: 0%
- 5. Sell products being promoted and keep records of sales. AI use: 0%
- 6. Suggest specific product purchases to meet customers' needs. AI use: 0%
Technologies
Requirements
Work context
Worker profile
Median age 41.9 · 212K employed
Under 25: 12% · 25–54: 67% · 55+: 22%
Related
Source coverage
11/11 source families · O*NET 30.2 / OEWS 2024 / ORS 2025 / OOH 2025-08-28 / Projections 2024-34 / CPS 2025 / Anthropic task penetration
Mapping quality
title_match · employment series present
Narrative & sources
Published limitations
This page shows the local country layer, not realised individual job outcomes. The global structural baseline is shared across countries; only the local demand and wage layer changes here.
Built from O*NET occupation descriptions, task statements, technology skills, work context, Job Zones, Anthropic task penetration, BLS OEWS wages, BLS projection tables, BLS ORS requirements, BLS OOH narrative content, BLS skills data, and BLS CPS occupation age tables.