Algorithmic Childhood Future-AI Prediction Systems and the Pre-Emption of Choice in Young Consumers

The fast adoption of Artificial Intelligence in the child-facing digital ecosystem has changed marketing into a reactive personalization model to a predictive and pre-emptive model of shaping choice. This chapter envisions an algorithmic childhood futures, in which AI technologies predict preferences and restructure the choice environment of children prior to the desire developing consciously. Based on the interdisciplinary theory and the latest case studies provided in the educational platforms and smart toy ecosystems, the chapter proves how predictive architectures may promote engagement and gradually reduce exploration and redistribute agency. This analysis puts the concept of algorithmic influence in a new perspective, as temporal harm, with its long-term developmental consequences, that are still poorly dealt with in existing governance models. To create a balance between innovation, commercial goals and digital well-being, the chapter ends with the suggestions to child-centered design and managerial principles.

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