AI Automation Index

Will AI Replace Demonstrators and Product Promoters?

Task-level automation exposure for Demonstrators and Product Promoters: 21 O*NET tasks scored against their work activities, plus the simulator.

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Developed & audited by Gini Loh

Automation Exposure

43% weighted task index

21 of 21 tasks scored

Median Salary

$39,320 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

Medium

64,520 people hold this job — size, not growth

Projected 2025–35

+0.2% employment change

11,400 openings a year · BLS line item

Pay by state

BLS OEWS publishes 49 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.

$22,530 – $50,290

Highest medians

Michigan $50,290

New York $49,150

Indiana $47,630

Rhode Island $47,600

Massachusetts $47,590

Lowest medians

Puerto Rico $22,530

Mississippi $28,470

Alabama $28,630

New Mexico $29,110

South Dakota $29,560

State figures come from the 41-9011 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.

What the score is made of

Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.

Automation potential 43%

Importance-weighted mean of the scored tasks. This is the headline index.

Physical work 20%

Share of weighted tasks in hands-on or machine-operating work activities.

Judgment & influence 31%

Share in analysis, decisions, teaching, directing, advising, or caring for others.

Routine administration 12%

Share in documenting, recording, and administrative activities.

Rewritten by O*NET 0%

Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.

Consequence of error 0/100 Low

O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.

Constituent Task Mix

21 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.

High exposure (≥ 60% of the task is automatable) 39%

8 tasks

Medium exposure (≥ 35%) 23%

5 tasks

Low exposure (below 35%) 38%

8 tasks

How would you survive?

Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.

Simulate Upskilling →

Constituent Tasks

#13191 · Core · 15% automatable

Provide product samples, coupons, informational brochures, or other incentives to persuade people to buy products.

physical manipulation — Physically distributing samples and literature

Distribute promotional literature or samples to customers.

#13194 · Core · 59% automatable

Sell products being promoted and keep records of sales.

data analysis — Maintain structured sales records via tools

Maintain records of sales or other business transactions. Sell products or services.

#13192 · Core · 5% automatable

Keep areas neat while working and return items to correct locations following demonstrations.

physical manipulation — Hands-on cleaning of work areas

Clean work areas.

#13190 · Core · 38% automatable

Demonstrate or explain products, methods, or services to persuade customers to purchase products or use services.

interpersonal — Technical explanation to customers needs live interaction

Explain technical product or service information to customers. Demonstrate products to consumers.

#13193 · Core · 88% automatable

Record and report demonstration-related information, such as the number of questions asked by the audience or the number of coupons distributed.

data analysis — Structured transaction data entry and recording

Record sales or transactions data.

#13196 · Core · 60% automatable

Suggest specific product purchases to meet customers' needs.

decision support — Product recommendations need customer context and persuasion

Recommend products or services to customers.

#13206 · Core · 82% automatable

Research or investigate products to be presented to prepare for demonstrations.

information retrieval — AI extracts product specs and summarizes

Study product information to acquire professional knowledge.

#13195 · Core · 6% automatable

Set up and arrange displays or demonstration areas to attract the attention of prospective customers.

physical manipulation — Setting up displays requires hands-on placement

Set up merchandise displays.

#13198 · Core · 68% automatable

Identify interested and qualified customers to provide them with additional information.

data analysis — AI analyzes market data to identify prospects

Identify potential customers.

#13203 · Core · 44% automatable

Visit trade shows, stores, community organizations, or other venues to demonstrate products or services or to answer questions from potential customers.

information retrieval — Product questions answered from knowledge base

Demonstrate products to consumers. Answer customer questions about goods or services.

#13197 · Core · 6% automatable

Transport, assemble, and disassemble materials used in presentations.

physical manipulation — Setting up displays requires hands-on placement

Set up merchandise displays.

#13199 · Core · 20% automatable

Practice demonstrations to ensure that they will run smoothly.

interpersonal — Live product demonstration requires physical presence

Demonstrate products to consumers.

#13201 · Core · 66% automatable

Learn about competitors' products or consumers' interests or concerns to answer questions or provide more complete information.

information retrieval — AI extracts product specs and summarizes

Gather customer or product information to determine customer needs. Study product information to acquire professional knowledge.

#13205 · Core · 70% automatable

Instruct customers in alteration of products.

information retrieval — Product-use advice is largely informational with review

Advise customers on the use of products or services.

#13202 · Core · 20% automatable

Work as part of a team of demonstrators to accommodate large crowds.

interpersonal — Live product demonstration requires physical presence

Demonstrate products to consumers.

#13200 · Supplemental · 75% automatable

Prepare or alter presentation contents to target specific audiences.

text generation — Generates sales content drafts; human tailors and approves

Develop content for sales presentations or other materials.

#13211 · Supplemental · 10% automatable

Stock shelves with products.

physical manipulation — Physically moving and shelving stock items

Stock products or parts.

#13208 · Supplemental · 50% automatable

Provide product information, using lectures, films, charts, or slide shows.

interpersonal — Slides drafted; live delivery and persuasion are human

Deliver promotional presentations to current or prospective customers.

#13204 · Supplemental · 40% automatable

Train demonstrators to present a company's products or services.

interpersonal — Sales coaching blends persuasion and live practice

Train sales personnel.

#13207 · Supplemental · 60% automatable

Recommend product or service improvements to employers.

decision support — Product recommendations need customer context and persuasion

Recommend products or services to customers.

#13210 · Supplemental · 5% automatable

Wear costumes or sign boards and walk in public to promote merchandise, services, or events.

physical manipulation — Physical modeling presence is the work

Model cosmetics, clothing, or accessories.

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Community Sentiment

Do you agree?

Do you agree with the AI automation risk score calculated for this occupation?

Method

How this was scored

1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.

Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.

Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast

See the full method →

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