The field of automotive software development is experiencing a significant shift with the integration of Generative Artificial Intelligence (GenAI). This technology has the potential to revolutionize the industry by reducing the amount of human intervention needed and effort for handling complex underlying processes. One of the key areas where GenAI is making an impact is in the automation of meetings and documentation. By using GenAI models to transcribe meetings and integrate additional information sources, companies can reduce the effort required for meetings and make shared information more easily retrievable. Another area where GenAI is being applied is in the development of autonomous and Advanced Driver Assistance Systems (ADAS) capabilities. GenAI-empowered approaches are being used to automate the development of automotive software, from requirements to implementation, with a focus on reducing compliance and re-engineering cycles, as well as development and testing time. Notable papers in this area include:

• A study on using conversational AI to support think-aloud practice in technical interview preparation, which found that participants valued AI's role in simulation, feedback, and learning from generated examples.
• A proof-of-concept study on using GenAI to automate meetings in automotive engineering, which demonstrated the potential of GenAI to reduce meeting effort and improve documentation.
• A paper on GenAI for automotive software development, which introduced a GenAI-empowered approach to automated development of automotive software, with emphasis on autonomous and ADAS capabilities.