<p>Generative artificial intelligence (G-AI) has transformed children’s digital environments through tools that alter self-image using idealized filters and avatars. Early exposure to these technologies poses psychological risks, particularly regarding body perception during sensitive developmental stages. </p><p> <b>Objective</b> To analyze the psychological effects of exposure to Generative Artificial Intelligence self-images on the body image development of Mexican children aged 6 to 12&#xa0;years. </p><p> <b>Methods </b>A quantitative, cross-sectional, and correlational study was conducted with a non-probabilistic sample of 302 children. Standardized scales were used to assess body satisfaction, G-AI exposure, and parental mediation. Descriptive statistics, ANOVA, principal component analysis (PCA), cluster analysis, and multiple linear regression were performed. </p><p> <b>Results </b>A significant negative correlation was found between G-AI use and body satisfaction (<i>r</i> = -0.42, <i>p</i> &lt; .001), while parental mediation showed a positive association (<i>r</i> = 0.31, <i>p</i> &lt; .01). Multiple regression analysis confirmed both G-AI exposure and parental mediation as significant predictors of body satisfaction (adjusted R² = 0.18). Three user profiles were identified based on exposure level, body esteem, and adult supervision. </p><p> <b>Conclusion </b>Frequent use of G-AI can negatively impact children's body image, especially without parental mediation, highlighting the need for preventive educational and family-based strategies.</p> Graphical Abstract <p></p> <p>Conceptual model illustrating the relationship between exposure to generative AI, parental mediation, and body image satisfaction in children. Arrows represent hypothesized directions based on theoretical models (Bandura&#xa0;<CitationRef CitationID="CR4">1986</CitationRef>; Vygotsky <CitationRef CitationID="CR36">1978</CitationRef>).</p>