How Algorithms Are Spotting the Next Big Model Before Humans Do
In the competitive and fast-paced fashion industry, a new type of talent scout is emerging—one that doesn’t don a black turtleneck or carry a leather-bound portfolio. Instead, this innovator resides in the digital realm, capable of processing vast amounts of images in mere seconds, and claims to identify the next supermodel before any human lays eyes on them. Traditionally, finding new talent in fashion relied on skilled scouts identifying promising faces in everyday settings—be it a café, shopping mall, or the streets of Milan. However, agencies and brands are now leveraging artificial intelligence to analyze millions of social media posts, runway images, and street-style photos, searching for facial features, body proportions, and social interactions that indicate potential marketability.
From Polaroids to Pixels
Historically, scouting for models was a time-consuming and costly endeavor. Agents would travel internationally, attend numerous events, and depend on intuition. The introduction of AI revolutionizes this process by examining extensive databases for specific traits such as facial symmetry, skin quality, body measurements, and even walking style, utilizing cutting-edge computer vision technology. Lalaland.ai, a Dutch startup, utilizes AI-generated models to assist fashion brands in visualizing their collections across a range of body types prior to casting. Although these virtual models do not entirely replace human counterparts, the insights gained from these simulations are influencing which real-life models are selected for opportunities. The Diigitals, an agency established by photographer Cameron-James Wilson, showcases both human and AI-generated models. Their most notable creation, Shudu, is a hyper-realistic digital model boasting hundreds of thousands of Instagram followers, which has led to campaigns with high-profile brands like Balmain and Fenty Beauty.
Algorithms with a Designer’s Eye
AI technology goes beyond merely assessing physical traits; it also analyzes social media metrics such as engagement rates, audience demographics, and follower growth. A model with 50,000 engaged followers in a targeted market may hold more value for brands than another with a larger following but limited interaction. For example, ModelScout AI, a rising platform in Europe, employs natural language processing to assess captions, hashtags, and fan comments, determining if a potential model possesses a “marketable persona” that extends beyond mere appearance. This combination of visual and behavioral data gives these systems a distinct advantage, allowing them to ask not only who looks like a model, but also who can effectively drive sales.
The Upside for the Industry
For fashion brands, the utilization of AI in talent scouting can significantly reduce both the time and expenses associated with finding the perfect face for their campaigns. Smaller brands that previously lacked the resources for traditional scouting teams can now access a worldwide pool of talent. Additionally, AI can promote diversity in the industry. By minimizing the unconscious biases that human scouts may have, AI can highlight candidates from underrepresented backgrounds or unconventional markets. For instance, luxury e-commerce platform Farfetch has experimented with AI tools to identify models from emerging markets, facilitating connections with brands in Europe and the United States.
Risks, Bias, and the Human Touch
However, the use of AI is not without its risks. If the training data reflects narrow beauty standards, the outcomes will inevitably mirror those biases. Critics caution that without diverse datasets and human supervision, AI could perpetuate damaging stereotypes rather than challenge them. There is also the matter of authenticity; in a field where image is paramount, the implications of using an AI-generated model as the “ideal” figure raise concerns. Some worry this could lead to the displacement of human talent, while others believe it could broaden creative avenues without eliminating human models. Ultimately, even the most sophisticated AI scouts cannot replicate the human ability to perceive qualities like charisma, ambition, and resilience—those elusive traits that transform a model into an icon. As top scout Jeni Rose of IMG Models aptly noted, “You can see a spark in someone’s eye. AI can’t feel that—yet.”
