Not Very Resilient

Last Update: 5/19/2026

Your role’s AI Resilience Score is

33.0%

Median Score

Meaningful human contribution

Low

Long-term employer demand

Low

Sustained economic opportunity

Med

Our confidence in this score:
Medium

Contributing sources

AI Resilience Report forModels

Models are less resilient to AI impacts than most occupations, according to our analysis of 5 sources.

Modeling is labeled "Not Very Resilient" because AI can now generate photorealistic images of models for commercial campaigns — meaning brands like H&M are creating digital replicas of human models and producing unlimited poses and looks without ever booking real talent for a photoshoot. This is hitting the commercial and catalog side of modeling hard, since those jobs are largely about looking good in photos, which is exactly what AI tools can now replicate cheaply and quickly.

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This role is not very resilient

Modeling is labeled "Not Very Resilient" because AI can now generate photorealistic images of models for commercial campaigns — meaning brands like H&M are creating digital replicas of human models and producing unlimited poses and looks without ever booking real talent for a photoshoot. This is hitting the commercial and catalog side of modeling hard, since those jobs are largely about looking good in photos, which is exactly what AI tools can now replicate cheaply and quickly.

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Analysis of Current AI Resilience

Models

Updated Quarterly • Last Update: 5/14/2026

Analysis
Suggested Actions
State of Automation

How is AI changing Models jobs?

The biggest AI shift for models isn't in their record-keeping or vouchers — it's in the photos themselves. Major brands are now generating campaign imagery with AI rather than booking human talent. A legal analysis of New York's Fashion Workers Act notes that "Fashion brand H&M is planning to create 30 'digital twins' by the end of the year", and that companies can superimpose apparel onto models' avatars and modify hairstyles, makeup, and physical appearances without booking the human models for additional photoshoots.

A career-specific blog for modeling agents reports that major brands like H&M have already begun replacing human models with digital replicas that are indistinguishable from the real thing, and that as companies realize they can produce unlimited poses without studio time or talent fees, demand for traditional modeling work is shrinking [1]. PBS reported that the fashion world is now reckoning with AI from virtual fitting rooms to AI avatars in marketing campaigns [2]. The Model Alliance's 2025 study with Cornell's Worker Institute found generative AI is being used to take advantage of existing power inequities, enabling brands to more intensely exploit models' labor, and the increasing use of AI tools is contributing to greater economic insecurity for fashion workers.

The runway itself — the live, in-person walking — remains overwhelmingly human, matching O*NET's low automation scores for posing and walking tasks.

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AI Adoption

How fast is AI adoption growing for Models?

Adoption is moving fast on the commercial side because the tools are cheap, accessible, and the savings are enormous. A Runway Magazine analysis explains that fashion executives argue artificial intelligence expands creative possibilities and reduces production costs, while critics warn the technology could erase jobs and create unrealistic beauty standards, with some luxury brands deploying virtual ambassadors that can appear across global markets simultaneously. But social and legal friction is real: the Model Alliance's 2023 poll of 100+ fashion workers found 87% reported concern about AI's negative impacts [3], and the New York Fashion Workers Act now requires written consent for AI replicas of a model's image [4].

Consumers are pushing back too — the Fashion Innovation Agency at London College of Fashion noted that Vogue's use of AI-generated models "has ignited reader backlash and prompted renewed conversations on digital creativity and authenticity", though innovation head Matthew Drinkwater predicts AI models won't erase human talent but will challenge the industry to rethink what creativity, representation, and beauty can look like. The hopeful takeaway for young people: human qualities like personality, cultural influence, live runway presence, and emotional storytelling are exactly what algorithms still struggle to fake — and new laws are starting to make sure that when your face is used by AI, you have a say and get paid.

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More Career Info

Career: Models

They showcase clothing and products by posing for photos or walking on runways to help designers and brands present their items to the public.

Employment & Wage Data

Median Wage

$89,990

Jobs (2024)

6,700

Growth (2024-34)

-0.5%

Annual Openings

1,200

Education

No formal educational credential

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

96% ResilienceSupplemental

Stand, turn, and walk to demonstrate features of garments for observers at fashion shows, private showings, and retail establishments.

2

95% ResilienceCore Task

Follow strict routines of diet, sleep, and exercise to maintain appearance.

3

95% ResilienceSupplemental

Pose as directed, or strike suitable interpretive poses for promoting and selling merchandise or fashions during appearances, filming, or photo sessions.

4

94% ResilienceSupplemental

Inform prospective purchasers about models, numbers, and prices of garments, the garments' designers, and where garments can be purchased.

5

93% ResilienceSupplemental

Wear character costumes and impersonate characters portrayed to amuse children and adults.

6

92% ResilienceSupplemental

Apply makeup to face and style hair to enhance appearance, considering such factors as color, camera techniques, and facial features.

7

92% ResilienceSupplemental

Hand out samples or gifts, demonstrate products, and converse with children and adults while dressed in costume.

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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