Arunachalam Thirunavukkarasu, Domenik Helms, Christian Ojeda Bernal, Sven Mantowsky, Syed Bukhari and Robert Bücs
Adv. Artif. Intell. Mach. Learn., 5 (4):4692-4709
1. Arunachalam Thirunavukkarasu: German Aerospace Center
2. Domenik Helms: Group manager at the German Aerospace Center (DLR)
3. Christian Ojeda Bernal: Artificial Intelligence Engineer bei Valeo Schalter und Sensoren GmbH
4. Sven Mantowsky: AI Lab Saarbrücken, ZF Friedrichshafen AG
5. Syed Bukhari: Chief AI Engineer inn the AI Lab Saarbrücken, ZF Friedrichshafen AG
6. Robert Bücs: Senior Engineer Embedded AI - Behavior Prediction & Planning
DOI: 10.54364/AAIML.2025.54260
Article History: Received on: 29-Jul-25, Accepted on: 08-Dec-25, Published on: 15-Dec-25
Corresponding Author: Arunachalam Thirunavukkarasu
Email: arunachalam.thirunavukkarasu@dlr.de
Citation: Arunachalam Thirunavukkarasu, et al. Generative AI in Automotive Industry. Advances in Artificial Intelligence and Machine Learning. 2025;5(4):260. https://dx.doi.org/10.54364/AAIML.2025.54260
The increasing popularity of generative AI has led to significant changes in various industries, including the automotive industry. The industry is undergoing a transformation from traditional design and development of systems to modern AI-based architectures. This development, reminiscent of the transition from simple mobile phones to smartphones, positions generative AI as one of the most important drivers of these changes. This article provides a comprehensive overview of the scalability issues and integration opportunities of generative AI in the automotive industry. We examine the current state and challenges of implementing generative AI in limited hardware environments, such as those typical of automotive systems. In addition, we discuss the evolving E/E architectures in the industry that are paving the way for this technological integration. The article also highlights early examples of generative AI adoption in the automotive sector and provides insight into the industry's ongoing transformation toward more advanced AI-based features.