In this article, we’ll look at the reasons behind Levi’s decision to test AI-generated clothing models and how this move aims to increase diversity and create a more sustainable shopping experience.
Key Takeaways:
Levi’s is set to test AI-generated clothing models later this year in collaboration with digital fashion studio Lalaland.ai.
The goal is to offer customers a more diverse and inclusive online shopping experience, by showcasing clothing items on various body types, ages, sizes, and skin tones.
While worries persist regarding possible effects on human models, Levi’s asserts that AI-created models will serve to complement, instead of supplanting, their human counterparts.
This approach is intended to provide a more personalized shopping experience for customers while promoting diversity, equity, and inclusion.
Levi’s claims that using AI-generated models is a more sustainable approach, but has yet to provide details on how this will be achieved.
Additionally, it remains unclear which platforms will feature the AI models and whether users will customize them.
Other companies, such as Walmart and Amazon Fashion, have adopted augmented reality (AR) technology to help customers visualize how clothing items would look on their own bodies, offering another innovative approach to enhancing the online shopping experience.
Levi’s move toward AI-generated models raises concerns about job losses and the broader impact on the fashion industry.
The company has recently undergone significant restructuring, resulting in hundreds of layoffs.
However, Levi’s states that its diversity efforts will extend beyond AI models, including working with a diverse range of content creators.
Levi’s decision to test AI-generated clothing models highlights the potential of technology to create a more inclusive and diverse shopping experience.
While concerns about the implications for the fashion industry are valid, the integration of AI and other technologies, such as AR, could pave the way for a more sustainable and personalized future in online retail.
