Will AI replace Demonstrators and Product Promoters?
Work in Demonstrators and Product Promoters sits in the in-between: AI reaches some of it (~13% in theory) but is only measured doing about 8% today — part human, part machine.
O*NET-SOC 41-9011
How your 15 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a relatively low share of this job's tasks (~13%). By late 2025, real-world AI use had reached about 8% of its task activity (growing but still limited). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~13%), real-world use (~8%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 15 tasks, ratedBased on real task-level AI scores — click to collapse
- None — AI cannot fully do any core task alone yet.
- Research or investigate products to be presented to prepare for demonstrations.
- Learn about competitors' products or consumers' interests or concerns to answer questions or provide more complete information.
- 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.
- 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.
- Instruct customers in alteration of products.
- Work as part of a team of demonstrators to accommodate large crowds.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.