Evolving

Last Update: 3/13/2026

Your role’s AI Resilience Score is

51.0%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium-high

What does this resilience result mean?

These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.

AI Resilience Report for

Merchandise Displayers and Window Trimmers

They design and set up attractive store displays to catch shoppers' attention and encourage them to buy products.

This role is evolving

The career of Merchandise Displayers and Window Trimmers is labeled as "Evolving" because AI is starting to take over some routine tasks, like checking product placements and updating price tags in stores. However, the creative and hands-on parts of designing and setting up displays still rely on human skills.

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Learn more about how you can thrive in this position

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Chat with Coach
Latest news
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Analysis
Chat
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This role is evolving

The career of Merchandise Displayers and Window Trimmers is labeled as "Evolving" because AI is starting to take over some routine tasks, like checking product placements and updating price tags in stores. However, the creative and hands-on parts of designing and setting up displays still rely on human skills.

Read full analysis

Contributing Sources

We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.

AI Resilience

AI Resilience Model v1.0

AI Task Resilience

Learn about this score
Stable iconStable

78.1%

78.1%

Microsoft's Working with AI

AI Applicability

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Evolving iconEvolving

43.3%

43.3%

Will Robots Take My Job

Automation Resilience

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Evolving iconEvolving

56.6%

56.6%

Althoff & Reichardt

Economic Growth

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Changing fast iconChanging fast

25.5%

25.5%

Medium Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

3.2%

Growth Percentile:

53.9%

Annual Openings:

20,800

Annual Openings Pct:

68.9%

Analysis of Current AI Resilience

Merchandise Displayers

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

What's changing and what's not

In retail stores today, AI is starting to handle some routine display tasks. For example, companies have built computer-vision systems that scan store shelves and automatically check product placement against planograms [1]. Many supermarkets use electronic shelf labels: a news report explains that U.S. grocers are “rapidly replacing” paper price tags with digital ones, so staff no longer have to manually swap out paper labels [2].

Some stores even use small touchscreen price tags that display ads, special offers, and can gather data on shopper behavior [3]. Experts also note that new technologies like augmented and virtual reality are “reshaping” retail display planning [4], letting designers preview store layouts before building them.

By contrast, the creative, hands-on parts of the job remain human. No examples were found of robots or software assembling window displays or rearranging mannequins. In fact, one industry report notes that traditional store display work is still “labor-intensive” [1].

A manager of digital tags even said their system simply “replaces paper marketing materials on the shelves” [3] – it saves the step of printing and placing signs, but it does nothing to assemble the display itself. In short, AI can help with photographing shelves and updating signs, but actual design and setup of displays are still done by people.

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AI Adoption

AI in the real world

Big retailers with many stores are more quickly trying out these technologies. For example, as noted, large U.S. grocery chains have begun using smart electronic price labels [2]. Industry sources point out that chains with hundreds of outlets benefit most, while smaller markets have been slower to switch over [3].

The economics matter: the average wage for a merchandiser is only about \$17 per hour [5], so a costly new system only pays off if it saves a lot of labor time in big stores.

Social and ethical factors also affect adoption. Some shoppers worry these “smart” labels could be used for “dynamic pricing” – for instance hiking ice cream prices on a hot day – and media reports have highlighted these concerns [2]. New displays can also collect data (e.g. tracking how long a customer looks at a product) [3], which raises privacy questions.

Such consumer and legal worries can slow down how quickly stores embrace AI. Overall, while AI offers efficiency (automating routine tagging and compliance), the industry notes that human creativity and supervision remain very important, so full automation is not happening yet.

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More Career Info

Career: Merchandise Displayers and Window Trimmers

Employment & Wage Data

Median Wage

$37,350

Jobs (2024)

193,000

Growth (2024-34)

+3.2%

Annual Openings

20,800

Education

High school diploma or equivalent

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

95% ResilienceSupplemental

Supervise or train staff members on daily tasks, such as visual merchandising.

2

90% ResilienceCore Task

Install booths, exhibits, displays, carpets, or drapes, as guided by floor plan of building or specifications.

3

90% ResilienceSupplemental

Instruct sales staff in color coordination of clothing racks or counter displays.

4

90% ResilienceSupplemental

Store, pack, and maintain inventory records of props, products, or display items.

5

85% ResilienceCore Task

Collaborate with others to obtain products or other display items.

6

85% ResilienceCore Task

Assemble or set up displays, furniture, or products in store space while utilizing colors, lights, pictures, or other accessories to display the product.

7

80% ResilienceCore Task

Construct or assemble displays or display components from fabric, glass, paper, or plastic, using hand tools or woodworking power tools, according to specifications.

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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