608 Whether emotional responses to artificial intelligence operate as undifferentiated technology anxiety or as identity-conditioned dimensional patterns has not been systematically tested in naturalistic consumer survey data. This study addresses this gap through quantitative analysis of validated survey data from a Greek consumer sample of N = 318 with three Principal Component Analysis-validated AI vulnerability subscales: Implications, Surveillance, and Ethical Issues; Concerns about Lack of Knowledge about AI; and Consumer and Social Concerns. Three identity-conditioned dimensional patterns are documented through one-way analyses of variance and independent samples t-tests across tech-savviness, channel preference, and geographic context segments. The Identity-Aligned Emotional Model refines the foundational exposure-familiarity-acceptance pathway by specifying how identity motivation conditions emotional response across distinct vulnerability dimensions. The findings supplement aggregate technology adoption mechanisms with dimension-specific design principles for AI public communication strategy in Mediterranean high-uncertainty-avoidance consumer contexts. https://doi.org/10.24052/JBRMR/V20IS02/ART-02 https://jbrmr.com/details&cid=608 https://jbrmr.com/cdn/article_file/2026-05-15-10-26-36-AM.pdf Volume 20 Issue 02 58 2026-04-01 2026-05-15 no 0000-00-00 0000-00-00 0000-00-00 0000-00-00 AI consumer anxiety identity-aligned emotional model dimensional refinement Mediterranean uncertainty-avoidance AI public communication none 126994 98 0 Theofanis Aritzis Independent Researcher, Athens, Greece