Artificial intelligence generated content (AIGC) is transforming visual arts by automating image design, illustration, and interface composition. Extending beyond traditional technology acceptance models (TAM), this study integrates cultural memory (CM) theory to develop a four-layer pathway model comprising CM perception, cultural cognition evaluation (cultural preservation (CP) and cultural transformation (CT)), functional assessment, and behavioral intention. Using partial least squares structural equation modeling (PLS-SEM) in SmartPLS, data from 238 visual designers were analyzed. The results show that CM significantly influences CP (β=0.564, p
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