Nearly seven in ten automotive organizations already use or pilot agentic AI for product development, according to a Capgemini Research Institute report based on a survey of 800 senior executives across 12 countries. Of these, 33% are using the technology, and 35% are running pilots. Adoption in non-core engineering activities is expected to rise from 26% today to 68% within two to three years. Eighty-three percent of executives believe agentic AI will free engineers to focus on core work rather than administrative tasks. However, only 5% of organizations report fully mature AI governance, with gaps in data quality, traceability, accountability, and ecosystem collaboration. High-value adopters report 17% faster development cycles, 19% higher engineering productivity, and a 19% shorter time-to-market. Trust is highest in upstream research at 59% but falls to 40% in development activities.
Nearly seven in ten automotive organizations already use or pilot agentic AI for product development, according to a Capgemini Research Institute report based on a survey of 800 senior executives across 12 countries. Of these, 33% are using the technology, and 35% are running pilots. Adoption in non-core engineering activities is expected to rise from 26% today to 68% within two to three years. Eighty-three percent of executives believe agentic AI will free engineers to focus on core work rather than administrative tasks. However, only 5% of organizations report fully mature AI governance, with gaps in data quality, traceability, accountability, and ecosystem collaboration. High-value adopters report 17% faster development cycles, 19% higher engineering productivity, and a 19% shorter time-to-market. Trust is highest in upstream research at 59% but falls to 40% in development activities.