Not Very Resilient
Last Update: 6/19/2026
AI Resilience Score for Models:
33.8%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
AI Resilience Report forModels
$89,990 median salary•1,200 annual openings•SOC Code: 41-9012.00
Models are less resilient to AI impacts than most occupations, according to our analysis of 5 sources.
Modeling is labeled "Not Very Resilient" mainly because AI can now generate photorealistic images of models for commercial campaigns, meaning brands like H&M are creating digital twins and AI avatars instead of booking real people for photoshoots. This hits the commercial and catalog side of modeling especially hard, since companies can produce unlimited poses and looks without studio time or talent fees, which shrinks the demand for traditional modeling work.
Learn more about how you can thrive in this position
This role is not very resilient
Modeling is labeled "Not Very Resilient" mainly because AI can now generate photorealistic images of models for commercial campaigns, meaning brands like H&M are creating digital twins and AI avatars instead of booking real people for photoshoots. This hits the commercial and catalog side of modeling especially hard, since companies can produce unlimited poses and looks without studio time or talent fees, which shrinks the demand for traditional modeling work.
Read full analysisLearn more about how you can thrive in this position
Analysis of Current AI Resilience
Models
Updated Quarterly

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.
Sources

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.
Sources

Will AI replace Models?
In part. We think AI will eventually automate a real share of this work, but human presence, personality, and cultural influence still matter in ways algorithms can't fully replicate.
The commercial side is already shifting fast. Brands like H&M are building digital replicas of models to generate unlimited campaign imagery without studio time or talent fees, and demand for traditional bookings is shrinking as a result [1]. Our 33.8% AI Resilience Score reflects that reality honestly. Live runway work, emotional storytelling, and in-person appearances remain stubbornly human, but those opportunities are a smaller slice of the overall market.
The good news is that legal protections are catching up. New York's Fashion Workers Act now requires written consent before a model's likeness can be used by AI [4], and a Model Alliance study found 87% of fashion workers are concerned about AI's impact on their livelihoods [3]. That pressure is pushing the industry toward fairer terms.
For anyone building a career here, the honest advice is to think beyond the photo shoot. Skills in personal branding, content creation, styling, and talent advocacy travel well into adjacent roles like creative direction, influencer work, and fashion consulting. The job as it exists today is under real pressure, but the people who understand both the human and digital sides of this industry will find ways to stay relevant.
Sources

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Latest AI news for Models
These articles highlight the evolving landscape for careers in modeling, emphasizing the need for adaptability in an AI-driven world. For instance, the Yale article points out that recent graduates face tougher job markets due to AI, urging future modelers to embrace AI tools in their workflows. Meanwhile, the piece on job crafting discusses how generative AI can reshape roles, encouraging students to creatively redefine their skills. Overall, understanding AI’s impact can foster resilience and innovation in modeling careers, paving the way for new opportunities.

India’s workers are training AI robots to take their jobs
www.aljazeera.com • 6/13/2026
Developers believe that feeding first-person footage into specialised AI models will help robots copy human behaviour.

The Real Job Destruction from AI Is Hitting Before Careers Can Start
insights.som.yale.edu • 5/20/2026
Yale's Jeffrey Sonnenfeld and his co-authors say that the impact of AI can be seen among recent college graduates, who are finding it harder...

Jim Cramer Discusses the AI Impact on Salesforce and SaaS Models
finance.yahoo.com • 4/11/2026
Jim Cramer Discusses the AI Impact on Salesforce and SaaS Models ... Salesforce, Inc. (NYSE:CRM) is among the stocks Jim Cramer reviewed while...

AI Will Reshape More Jobs Than It Replaces
www.bcg.com • 4/3/2026
Discover why task automation doesn't equal job loss—most roles will remain but change substantially, reshaping how employees work and what...

Approach or avoidance? A dual-pathway model of job crafting in response to generative AI and its impact on career sustainability
www.frontiersin.org • 3/13/2026
IntroductionAs generative artificial intelligence (AI) is increasingly integrated into employees' daily workflows, it is profoundly reshaping the nature of...
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.
Parent Careers
Similar Careers
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
Stand, turn, and walk to demonstrate features of garments for observers at fashion shows, private showings, and retail establishments.
2
Follow strict routines of diet, sleep, and exercise to maintain appearance.
3
Pose as directed, or strike suitable interpretive poses for promoting and selling merchandise or fashions during appearances, filming, or photo sessions.
4
Inform prospective purchasers about models, numbers, and prices of garments, the garments' designers, and where garments can be purchased.
5
Wear character costumes and impersonate characters portrayed to amuse children and adults.
6
Apply makeup to face and style hair to enhance appearance, considering such factors as color, camera techniques, and facial features.
7
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.
