AI Impact on the Algorithmic Manufacturing of the Gender Fracture

Abstract

This white paper examines the widening ideological divide between young men and young women in Generation Z, arguing that it cannot be understood solely as an organic political or sociological development. It analyzes how attention-maximizing platforms, recommendation systems, generative AI and commercialized digital intimacy can exploit mating anxieties, sexual gratification and tribal defence mechanisms, directing users into increasingly adversarial informational and relational environments. Drawing on behavioural economics, cognitive neuroscience, game theory and legal analysis, the paper traces a cross-platform pipeline extending from algorithmic rage bait and ideological priming to AI-mediated intimacy, companion systems and automated customer-relationship infrastructures. It models competition for finite human attention as a non-cooperative game in which polarizing, high-variance content becomes a commercially stable strategy—even without an explicit intention to radicalize. The paper also examines the limitations of the EU AI Act, product-liability doctrines and content-focused interventions when harm arises from optimization incentives rather than an identifiable prohibited purpose. It concludes with a strategic framework for changing those incentives, strengthening algorithmic product-liability audits and rebuilding physical, non-digitized spaces for human interaction. Its central contention is that AI does not merely reflect the generational gender fracture: under the prevailing incentives of the attention economy, it can participate in manufacturing and accelerating it.