The Future AI Car Function

Abstract

The automotive industry is undergoing rapid transformation driven by digitalization and the increasing integration of artificial intelligence (AI). AI has become an important technology in modern vehicles through applications such as advanced driver assistance systems, predictive maintenance, and personalized infotainment systems. At the same time, the implementation of AI creates new organizational, technical, and ethical challenges for automotive manufacturers. The purpose of this study is to examine how AI is influencing the automotive industry, with a particular focus on vehicle functions, customer value, and strategic challenges for drivers. The study applies a qualitative research approach based on a literature review of previous academic research and industry-related sources. By analyzing existing studies, the thesis identifies key opportunities and challenges linked to the use of AI in vehicles. The findings show that AI can improve road safety, driving efficiency, user experience, and operational processes within automotive companies. AI-driven systems also enable greater personalization and create possibilities for new business models based on software and connected services. However, the results also indicate significant challenges, including cybersecurity risks, data privacy concerns, high development costs, and legal responsibility issues related to autonomous systems. Furthermore, successful AI adoption requires organizational change, new competencies, and continuous software development capabilities. The study concludes that AI is becoming a strategic necessity rather than an optional innovation in the automotive sector. Companies that successfully combine technological development with customer trust, safety, and regulatory compliance are likely to strengthen their competitive position in the future automotive market.