Demonstrators and Product Promoters
In short: today's best AI models could do about 15% of this job's working time (projected from METR's April 2026 measurement and Epoch's November 2026 index) if the work were set up for them, and about the same by the end of 2028 if progress keeps its long-run pace. The conversations, in-person and hands-on work, about 85% of the time, stays with people.
Demonstrate merchandise and answer questions for the purpose of creating public interest in buying the product. May sell demonstrated merchandise.
64,520 people do this job in the US. $39,320 a year.
Reviewed on October 2, 2026: what each task is made of, and what handing it over would ask.
A typical 40-hour week
- AI could take on6 h
- A person checks AI's work0 h
- Desk work AI can't do yet0 h
- Stays with people34 h
Demonstrators and Product Promoters, now: of a 40-hour week, AI could take on 6 hours, 0 hours become checking its work, 0 hours are desk work it can't do yet, and 34 hours stay with people.
The largest pieces: Tailor presentations to audiences (about 3 h); Learn about competitors and customers (about 1 h); Learn the products to be presented (under an hour).
Estimates for a typical week of this job, if progress keeps its long-run pace, counting work the best models finish four times in five. Every task is below.
of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.
- 13%
- 3%
- 1%
- 59%
- 25%
of the work: Anthropic's measure of what people already bring to Claude at work (2025). It counts help with part of a task, so it can be higher than the share within reach.
On the chosen pace and reliability. Estimate.
Share of the working time within reach, now to 2030
Change assumptionsHide assumptionsLong-run pace, four in five
What each choice means: , , , , . Every pace starts from .
At this date and pace, models finish tasks up to 2.4 work days long four times in five.
What handing it over would take, now
The 15% within reach splits by what a model would need. The dates, pace and reliability follow the controls above. Estimates.
of the working time. The material can be handed to a model and the result handed back.
of the working time. The model has to be connected to the system the work lives in.
is conversation short enough by length. This site leaves conversation with people, so it is not in the total.
How far this has come
With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 0%. With Claude Mythos Preview (early), measured in April 2026, 10%. Today's estimate: 15%.
A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.
Measured use over time
Of the Claude.ai conversations Anthropic sampled and tied to a work task, 0.91% went to this job's tasks in May 2026, the 28th largest of the 447 jobs that showed up at all; 4 of its 21 tasks showed up. Within each of Anthropic's methods, never across a change: 0.082% to 0.063% (released February and March 2025); 0.04% to 0.083% (August 2025 to February 2026); 0.9% to 0.91% (April to May 2026).
Each release
| Conversations | Share | Rank | Tasks seen |
|---|---|---|---|
| Released February 2025 | 0.082% | 195 of 708 | 4 of 21 |
| Released March 2025 | 0.063% | 230 of 703 | 4 of 21 |
| The week of Aug 4, 2025 (released September 2025) | 0.04% | 271 of 655 | 6 of 21 |
| The week of Nov 13, 2025 (released January 2026) | 0.075% | 191 of 672 | 6 of 21 |
| The week of Feb 5, 2026 (released March 2026) | 0.083% | 189 of 677 | 7 of 21 |
| April 2026 (released June 2026) | 0.9% | 29 of 434 | 4 of 21 |
| May 2026 (released June 2026) | 0.91% | 28 of 447 | 4 of 21 |
Measured, not estimated: Anthropic's samples of Claude.ai conversations, each tied by a model to an O*NET task, from the Anthropic Economic Index. It says where Claude's use goes, not how much of this job's working time it covers, so it is not on the same scale as the reach above. The releases differ in their sample, their classifier and the smallest share they report (the June 2026 file rounds each task to a hundredth of a percent, so a smaller task reads as none), which is why a change of method starts a new line. At least 96% of each older release's task-tied use matched this site's tasks, and all of the newest. Claude.ai only, so use through other tools and other companies' models is not in it. Every job ranked.
Robots and the physical work
Anthropic rates 71% of this job's working time as physical work. For 69% of the working time, a robot has been shown doing most of the task somewhere: 51% in a purpose-built cell, 18% in a structured facility. 0.87 of 3, the 197th highest of the 923 jobs.
- Not physical 29%
- No robot shown 2%
- In a purpose-built cell 51%
- In a structured facility 18%
Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. The robot behind each rated task is under the task below.
What changes for the people in this job
From the task-by-task review, by the end of 2028 on the long-run pace at four in five. It says which parts of the work stay with people and which change, not whether anyone keeps a job: that depends on decisions no data set can see.
What stays with people
85% of the working time: the conversation, in-person and hands-on parts of the tasks.
- Demonstrate at shows and venues, the in-person work, 25%
- Work the crowd as a team, the in-person work, 12%
- Promote in costume in public, the hands-on work, 7%
- Set up displays, the hands-on work, 6%
- Demonstrate products to customers, the in-person work, 4%
- Rehearse demonstrations, the in-person work, 3%
What becomes checking the machine
No desk work within reach by then in tasks where a mistake costs something. Another 15% is desk work that is small if wrong, which can be handed over with lighter checks.
What to learn
- The conversations. About 59% of the time is conversation and in-person work, which this site leaves with people: listening, explaining, persuading, calming.
- Dealing with people outside the organization. Customers, patients, suppliers or the public: trust with them is built by a person.
- The hands-on craft. About 25% of the time is hands-on work, which no model here does; robots are rated separately on this page.
- Briefing a model and checking its drafts. About 13% of the time is documents and data, the part models reach first: writing a clear brief, giving the right material, and checking what comes back.
Your own version of this job: read it against your job description. The headline is free; the full personal report, every task with its timeline and what to learn, is $19 (a sample).
The tasks
Sorted by . 21 tasks from .
| Task | ||||
|---|---|---|---|---|
| Visit trade shows, stores, community organizations, or other venues to demonstrate products or services or to answer questions from potential customers.At the show or store, demonstrating and answering questions, with the travel there.Done hourly or more by most who do it. Robots: in a purpose-built cell, Pepper 'Fabio' at Margiotta supermarket (SoftBank Robotics / Heriot-Watt University) (demonstrated). Anthropic's rating. | 25% | 3.3 h1.7 h to 6.7 h | In person 80%, hands-on 20% | Stays with people |
| Work as part of a team of demonstrators to accommodate large crowds.On the floor with the other demonstrators handling a crowd.Done more than yearly by most who do it. Robots: in a purpose-built cell, Freeosk automated sampling kiosk (deployed). Anthropic's rating. | 12% | 2.5 h50 min to 5 h | In person 100% | Stays with people |
| Wear costumes or sign boards and walk in public to promote merchandise, services, or events.Walking the street in costume or with a sign among the public.Done more than yearly by most who do it.Robots: in a structured facility, Serve Robotics sidewalk delivery robot with Nickelytics ad wraps (sold). Anthropic's rating. | 7% | 2.5 h50 min to 5 h | Hands-on 60%, in person 40% | Stays with people |
| Prepare or alter presentation contents to target specific audiences.Reworking the script and slides for the audience in front of them next.Done daily by most who do it. AI observed on this task. | 6% | 1.7 h25 min to 2.5 h | Documents 100% | 100%Half by now |
| Set up and arrange displays or demonstration areas to attract the attention of prospective customers.Building and arranging the display by hand.Done daily by most who do it. Robots: in a purpose-built cell, TX SCARA (Telexistence) (deployed). Anthropic's rating. | 6% | 50 min25 min to 1.7 h | Hands-on 100% | Stays with people |
| Learn about competitors' products or consumers' interests or concerns to answer questions or provide more complete information.Reading about rival products and what shoppers ask; the knowing is the demonstrator's own.Done daily by most who do it. AI observed on this task. | 6% | 1.7 h25 min to 2.5 h | Documents 50%, in person 50% | 50%Desk part half by now |
| Research or investigate products to be presented to prepare for demonstrations.Reading up on the product and trying it; the knowing is the demonstrator's own.Done daily by most who do it. | 5% | 1.7 h25 min to 3.3 h | Documents 50%, in person 50% | 49%Desk part half by now |
| Demonstrate or explain products, methods, or services to persuade customers to purchase products or use services.Showing the product working and talking it up to shoppers.Done hourly or more by most who do it. Robots: in a purpose-built cell, Freeosk sampling kiosk (deployed). Anthropic's rating. | 4% | 25 min8 min to 1.3 h | In person 100% | Stays with people |
| Sell products being promoted and keep records of sales.Selling the product at the stand and keeping the tally of what sold.Done daily by most who do it. | 4% | 25 min13 min to 50 min | In person 50%, hands-on 30%, systems 20% | 20%Desk part half by now |
| Practice demonstrations to ensure that they will run smoothly.Running through the demonstration with the product until it goes smoothly; the practice is the person's own.Done daily by most who do it. Robots: no robot shown. Anthropic's rating. | 3% | 38 min13 min to 1.7 h | In person 50%, hands-on 50% | Stays with people |
| Keep areas neat while working and return items to correct locations following demonstrations.Tidying the area and putting the items back.Done daily by most who do it. Robots: in a purpose-built cell, Amazon Sparrow (deployed). Anthropic's rating. | 3% | 17 min8 min to 38 min | Hands-on 100% | Stays with people |
| Transport, assemble, and disassemble materials used in presentations.Carrying the materials in, putting them together and taking them down.Done daily by most who do it. Robots: in a purpose-built cell, NTU Singapore autonomous IKEA chair assembly robot (dual Denso arms) (Nanyang Technological University) (demonstrated). Anthropic's rating. | 3% | 50 min25 min to 1.7 h | Hands-on 100% | Stays with people |
Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach. Made of: how the task's time splits among five kinds of doing. Only the documents and systems parts can count as within reach, so a task that is 30% documents can be at most 30% within reach.
Jobs that share skills with this one
From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.
- Door-to-Door Sales Workers, News and Street Vendors, and Related Workers31% now, 31% by 2028
- Sales Representatives of Services, Except Advertising, Insurance, Financial Services, and Travel59% now, 60% by 2028
- Retail Salespersons23% now, 23% by 2028
- Sales Representatives, Wholesale and Manufacturing, Except Technical and Scientific Products46% now, 47% by 2028
- Counter and Rental Clerks23% now, 23% by 2028
- Merchandise Displayers and Window Trimmers34% now, 35% by 2028
Where this job works
The industry groups that employ the most of it (BLS, May 2025).
Where the most of these jobs are
The metro areas with the most people in it (BLS, May 2025).
Questions about this job
- How much of the work of Demonstrators and Product Promoters is within reach of AI now?
- An estimated 15% of the working time is within reach of AI models now and 15% by the end of 2028, on METR's long-run pace at four in five. Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
- Which tasks of Demonstrators and Product Promoters come within reach first?
- Weighted by the time each takes, the tasks with the most within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) are: Tailor presentations to audiences (100% of the task's time now); Learn about competitors and customers (50% of the task's time now); and Learn the products to be presented (49% of the task's time now).
- Which tasks of Demonstrators and Product Promoters stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Demonstrate at shows and venues; Work the crowd as a team; and Promote in costume in public. Together such tasks are about 75% of the working time, and the people and body parts of the other tasks stay with people too.
- What should Demonstrators and Product Promoters learn as AI takes on more of the work?
- By the job's own task-by-task review, the first things to learn are the conversations; dealing with people outside the organization; and the hands-on craft. By the end of 2028 on the long-run pace at four in five, about 85% of the working time stays with people, 0% becomes checking a model's work and 15% could be handed over with lighter checks. It says which parts of the work change, never whether anyone keeps a job.
- Do people already use AI for the work of Demonstrators and Product Promoters?
- In the Claude.ai conversations Anthropic sampled for May 2026 and tied to a work task, 0.91% went to this job's tasks, the 28th largest share of the 447 jobs that showed up; 4 of its 21 tasks appeared. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 8%. These are measures of use, not of how much of the work AI could finish, and they cover Claude only.
- Can robots do the physical work of Demonstrators and Product Promoters?
- Anthropic's robot exposure rating (September 2026) finds 71% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 69% of the working time, 18% in a structured facility. Its index is 0.87 of 3. One example: Serve Robotics sidewalk delivery robot with Nickelytics ad wraps for "promote in costume in public". A robot shown somewhere is not one in every workplace; this site's own estimates still count no physical work as within reach.
- How is this estimated?
- From the 21 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, reviewed one task at a time on October 2, 2026 for what each is made of (documents, business systems, conversation, in person, hands-on), and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. Data checked November 10, 2026.
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