Hyundai Motor Group’s AI Roadmap: Minwoo Park on Commercializing AI and Autonomous Driving Technology
Hyundai Motor Group is accelerating its push to commercialize AI, autonomous driving, and robotics, led by Minwoo Park, who joined as President of the AVP Division and CEO of 42dot.
2026
2016
What Happened
Minwoo Park, a former Tesla Autopilot and NVIDIA executive, joined Hyundai Motor Group in February 2026 as President and Head of the AVP Division and CEO of 42dot. He is tasked with guiding the group’s transformation of AI, autonomous driving, robotics, and SDV technologies into scalable, production-ready mobility solutions.
Park emphasizes an execution-first mindset: 'The future isn't won by whoever innovates first. It is determined by who can bring that technology to market faster, more safely, and with greater reliability.' He aims to break down silos between hardware, software, R&D, and production to accelerate commercialization.
“The future isn't won by whoever innovates first. It is determined by who can bring that technology to market faster, more safely, and with greater reliability—scaling it into a solution that achieves public trust.”
Hyundai Motor Group is standardizing sensors to streamline data collection and building a 'Data Union' across subsidiaries like 42dot and Motional. This data flywheel aims to continuously train AI models using real-world production data, enabling rapid advancement of autonomous driving technology.
Why this matters
This move signals Hyundai's commitment to scaling AI technology into production-ready mobility solutions, emphasizing speed, safety, and reliability to compete in the SDV era.
Terms in This Story
- SDV
- Software-Defined Vehicle: a vehicle whose features and functions are primarily enabled through software, allowing over-the-air updates.
- ADAS
- Advanced Driver-Assistance Systems: technologies that assist the driver in driving and parking, enhancing safety.
- Sensor Fusion
- The process of combining data from multiple sensors (e.g., cameras, radar, lidar) to improve perception accuracy.
- Data Flywheel
- A virtuous cycle where data collection improves AI models, which in turn enable better data collection and product performance.
Summarised from the linked release; details can be imperfect — always verify against the original source.