Somewhat Resilient
Last Update: 8/30/2026
AI Resilience Score for Models:
37.7%
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.
Limited data sources are available, or existing sources show notable disagreement on the outlook for this occupation.
Contributing sources
AI Resilience Report forModels
$48,470 median salary•700 annual openings•SOC Code: 41-9012.00
Models are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Modeling is labeled "Somewhat Resilient" because AI is already replacing real work in this field, especially for e-commerce and product photography, where brands like H&M and Levi's are creating digital model replicas instead of booking human models for every shoot. That said, three important forces are slowing AI's takeover: public backlash against AI-generated ads, new laws like the New York Fashion Workers Act requiring models to give consent before their likeness is used in AI, and the simple fact that runway presence, personality, and authentic human storytelling are still hard for AI to replicate.
Learn more about how you can thrive in this position
This role is somewhat resilient
Modeling is labeled "Somewhat Resilient" because AI is already replacing real work in this field, especially for e-commerce and product photography, where brands like H&M and Levi's are creating digital model replicas instead of booking human models for every shoot. That said, three important forces are slowing AI's takeover: public backlash against AI-generated ads, new laws like the New York Fashion Workers Act requiring models to give consent before their likeness is used in AI, and the simple fact that runway presence, personality, and authentic human storytelling are still hard for AI to replicate.
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 modeling industry is one of the first creative fields where AI is already replacing human work at scale, especially for the core task of "posing for artists and photographers." According to a joint study by the Model Alliance, Data & Society, and Cornell's Worker Institute, generative AI is being used to take advantage of existing power inequities within the fashion industry, enabling brands to more intensely exploit models' labor [1] by turning a single photoshoot into reusable data. Researchers found that a single booking can be used to capture images, body scans, and measurements that can then be manipulated with AI, allowing companies to extract additional profit without needing to re-hire or further compensate the model [1]. Major brands are moving from pilots to real deployments: Forbes reported that H&M announced in March 2025 it intends to create 30 digital versions of existing models, while Levi Strauss began exploring AI models in 2023 as part of its diversity initiatives [2].
Administrative tasks like recording rates and job durations on vouchers are also being taken over by agency management software. Some parts of the job are being augmented rather than replaced — creators like Nick Knight are experimenting with AI as a creative tool, and the Model Alliance highlights his interest in AI's ability to enhance human creativity in fashion while protecting models' rights [3].
Sources

How fast is AI adoption growing for Models?
Adoption is moving fast because the economics are powerful: AI body scans and digital replicas can streamline the resource-intensive process of photographing human models in different outfits from various angles, letting companies superimpose apparel onto avatars without booking the human models for additional photoshoots [4]. E-commerce and fit modeling are especially exposed. But three big brakes are pumping right now.
First, public backlash: the Model Alliance's own poll found 87% of fashion workers reported concern about AI's negative impacts [3], and consumers reacted strongly against Guess's AI ads in Vogue in 2025. Second, new laws: the New York Fashion Workers Act, effective June 19, 2025, now mandates that models give explicit consent before their likeness is used in AI applications [2], and legal experts urge proactive contract drafting, informed negotiation, and early legal review [5]. Third, human authenticity still sells — runway presence, personality, brand storytelling, and physical performance are hard for AI to fake.
If you're worried, the good news is that models who build strong personal brands, understand their contract rights, and lean into live, editorial, and campaign work that depends on real human connection are the ones most likely to keep thriving.
Sources

Will AI replace Models?
Not entirely. We think AI will take over some tasks, but not the whole job.
AI is already reshaping modeling in concrete ways. Brands like H&M and Levi Strauss are creating digital replicas and AI-generated avatars to replace traditional photoshoots [2], and a single booking can now be turned into reusable data that companies exploit without re-hiring the model [1]. E-commerce and fit modeling are the most exposed. Our 37.7% AI Resilience Score reflects that this career faces real, not hypothetical, disruption.
But three things are pushing back. Public backlash is real, with 87% of fashion workers reporting concern about AI's negative impacts [3], and consumers have already reacted against AI-generated campaigns. New laws like the New York Fashion Workers Act now require explicit consent before a model's likeness is used in AI applications [2]. And runway presence, personality, and live brand storytelling are genuinely hard to fake.
The job market through 2034 is soft, so we won't sugarcoat the demand picture. The models most likely to thrive are those who build strong personal brands, understand their contract rights [5], and focus on work that depends on real human connection. That path still exists. It just requires more intention than it used to.
Sources

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Latest AI news for Models
These articles highlight the evolving landscape for careers in AI modeling, emphasizing the need for adaptability and strategic thinking. For instance, the McKinsey piece on model risk management illustrates how financial institutions are prioritizing responsible AI, creating demand for professionals skilled in governance and compliance. Additionally, the discussion on job crafting in response to generative AI underscores the importance of resilience and innovation in career sustainability. As AI continues to reshape industries, staying informed and agile will be key for aspiring model professionals.

Hugging Face CEO says China is winning the AI race and dominating on open models
www.cnbc.com • 8/6/2026
Hugging Face CEO Clément Delangue said Chinese AI models could catch up to the U.S. as soon as this year.

License to model: Emerging US rules impact global access to frontier AI
www.hsfkramer.com • 7/20/2026
Under this new approach, the US government seeks unfettered access to and control over AI for its own use, including for warfare and all other “...

Evolving model risk management in the age of AI
www.mckinsey.com • 7/20/2026
AI model risk management can help banks strengthen validation, improve governance, and build compliance frameworks for responsible AI at...

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...

Outsourcing Trends for 2026: AI, GCCs, and Global Delivery Models
www.morganlewis.com • 1/20/2026
Outsourcing models are entering a more complex and strategic phase as companies accelerate digital transformation, embed artificial...
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
$48,470
Jobs (2025)
4,200
Growth (2025-35)
-2.1%
Annual Openings
700
Education
No formal educational credential
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Follow strict routines of diet, sleep, and exercise to maintain appearance.
2
Work closely with photographers, fashion coordinators, directors, producers, stylists, make-up artists, other models, and clients to produce the desired looks, and to finish photo shoots on schedule.
3
Dress in sample or completed garments, and select accessories.
4
Apply makeup to face and style hair to enhance appearance, considering such factors as color, camera techniques, and facial features.
5
Assemble and maintain portfolios, print composite cards, and travel to go-sees to obtain jobs.
6
Pose for artists and photographers.
7
Pose as directed, or strike suitable interpretive poses for promoting and selling merchandise or fashions during appearances, filming, or photo sessions.
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.
