2026 Global AI Report
A playbook for automotive AI leaders
Where AI strategy drives automotive performance
The 2026 Global AI Report for automotive reveals how AI leaders translate strategy into measurable impact across software-defined vehicles, engineering and intelligent manufacturing. Based on global executive research, the findings show that disciplined governance, operating model reinvention and end-to-end integration separate leaders from laggards. Automotive organizations that embed AI across the value chain are widening the performance gap at scale.
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In automotive, AI is redefining the operating model itself. The leaders pulling ahead are embedding intelligence into software-defined vehicles, engineering and intelligent manufacturing, governing it with discipline and scaling it across the value chain with confidence.
”Additional insights for business leaders
Strategic alignment
Automotive AI leaders align AI initiatives tightly with SDV strategy and value-chain priorities.
Operating model transformation
Leaders redesign engineering and manufacturing workflows around AI-native decision systems.
Governed for scale
Centralized oversight enables faster deployment while reducing operational and safety risk.
Customer experience advantage
AI connects plant systems, OTA updates and in-vehicle intelligence to enhance driver experience.
Enterprise momentum
Investment success fuels reinvestment, widening the performance gap.