AutoTechInsight
From software-defined to AI-defined: The rise of agentic intelligence in vehicles
Agentic AI represents the next evolution beyond generative AI: while GenAI produces insights, text and recommendations, agentic AI acts autonomously, makes decisions and executes tasks.
GenAI “thinks” while agentic AI “does”
When integrated into engineering, manufacturing and mobility workflows, agentic systems improve reliability, responsiveness and consistency across the automotive value chain.
This report aims to explain:
How is the automotive industry slowly transitioning from software-defined to AI-defined, and how can the use of agentic AI tools transform the automotive industry and related ecosystems across layers?
What are the key automotive use cases where agentic AI can help enable real-time decision-making, orchestration and execution across vehicles, factories and mobility ecosystems?
Which companies already have a head start or are ready for agentic AI — not just experimenting, but having the data, software stack and operational maturity to deploy autonomous AI agents at scale?
This report aims to explain:
•How is the automotive industry slowly transitioning from software-defined to AI-defined, and how can the use of agentic AI tools transform the automotive industry and related ecosystems across layers?
•What are the key automotive use cases where agentic AI can help enable real-time decision-making, orchestration and execution across vehicles, factories and mobility ecosystems?
•Which companies already have a head start or are ready for agentic AI — not just experimenting, but having the data, software stack and operational maturity to deploy autonomous AI agents at scale?
