While agencies and brands across industries debate whether to use AI influencers or actual people in their campaigns and product shoots, Amsterdam-based Moederannecasting offers a third option: AI-generated versions of human models. The casting agency's new initiative, DigiAnne, creates digital twins of IRL models to address one of the most persistent problems in generative AI: authentic representation of distinctive individuals.
The technical limitations of generative AI become apparent whenever brands attempt to create diverse imagery. "Gen-AI is notoriously poor at prompting people with unique features. This is not because it is unwilling; it is because it wasn't trained on the right data," explains DigiAnne. Meanwhile, consumers are growing weary of homogenized beauty standards perpetuated by algorithms and AI. DigiAnne aims to break through the blandness.
The joint initiative between Moederannecasting and Aigency Amsterdam invites models to sign up to have their digital twin constructed. AI is trained on photos that capture their distinct features and individuality, and a contract ensures their rights and earnings are safeguarded. Clients can then browse those digital twins, select individuals who fit their campaign needs and receive customized AI-generated content featuring the hybrid models — allowing them to maintain authenticity and behave ethically while benefiting from AI's efficiency.
Research shows that most shoppers are more likely to buy from brands that make efforts to represent people like themselves — not algorithmic approximations. By training its AI tools on real, diverse individuals, DigiAnne taps into that consumer expectation. One to try out for your next campaign?