Despite the potential of AI to revolutionize product creation and service delivery, a lack of consumer trust could significantly, hinder its adoption and utility. This research explores how transparency, simplicity, familiarity, and authenticity collectively impact consumer trust in AI-created products, which includes both goods and services. AI-created products refer to those in which artificial intelligence systems play a critical role in design, manufacturing, or decision-making processes. This study collected, data from 504 respondents which were then analysed through partial least square – structural equational modelling, (PLS-SEM). The results indicate that higher levels of transparency about AI involvement directly correlate with increased consumer trust. Conversely, increased product complexity is found to negatively affect trust. While greater consumer familiarity with AI positively, impacts trust levels. Furthermore, the perceived authenticity, of AI-generated content significantly enhances consumer trust. Each of these findings contribute to a greater understanding of the variables influencing consumer, trust in AI-created goods. For policymakers, the importance of establishing clear guidelines on AI transparency, and authenticity is underscored, potentially through the introduction of, standardized labelling for AI-created products. For practitioners, the results highlight the need for simplifying AI technologies and enhancing consumer familiarity through education and engagement strategies. The theoretical contribution of the study lies in its holistic examination of factors, influencing consumer trust in AI-created goods, filling a significant gap in existing literature. By integrating, multiple variables into a single conceptual framework, this research provides, valuable insights into the dynamics of consumer trust in context of AI integration.