The way customers experience the automotive industry has changed dramatically in recent years, and artificial intelligence (AI) lies at the heart of this shift. This systematic review examines how AI-enabled technologies ranging from advanced driver assistance systems (ADAS) and predictive maintenance to natural language processing (NLP)-powered assistants and IoT-connected services are reshaping customer experience (CX) across the entire vehicle ownership lifecycle. Drawing on peer-reviewed literature published between 2021 and 2025, as well as evidence from leading automotive firms including Tesla, BMW, and Mercedes-Benz, this paper argues that AI does not merely improve existing services; it fundamentally alters how trust, satisfaction, and loyalty are formed. The review also highlights the barriers that slow AI adoption, notably consumer trust deficits, data privacy risks, and implementation costs and proposes actionable strategies for automotive firms navigating this landscape. A pictorial conceptual framework is developed to map AI capabilities onto trust mediators and customer outcomes in a visually accessible format