The rapid integration of artificial intelligence (AI) into electronic commerce has changed the way consumers search for products, evaluate alternatives, and make online purchase decisions. AI shopping assistants, including conversational agents, recommendation systems, and personalized shopping tools, increasingly perform functions that were traditionally carried out by consumers or human sales personnel. The willingness of consumers to rely on these systems depends on their usefulness, convenience and also on whether consumers consider them trustworthy and sufficiently safe with respect to personal information. This paper examines the relationship between AI shopping assistants and electronic purchase intention with particular attention to consumer trust and privacy concern. The study is based on evidence reported in recent empirical research on AI-assisted shopping. Published studies indicate that perceived usefulness, perceived ease of use, and trust are positively associated with consumers' acceptance of AI shopping assistants, whereas privacy concerns can have a negative influence. Recent research also indicates that trust can function as an important psychological mechanism through which AI-related characteristics influence consumers' behavioural intentions. The paper integrates these findings into a concise framework explaining how trust and privacy concern shape consumer responses to AI-assisted electronic shopping
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