For the industry, the key questions are not rhetorical. How are safety improvements measured, communicated, and independently validated? What is the clearly stated operational design domain—where systems work reliably today—and how are transitions to and from automation handled so drivers can re‑engage safely? How are updates verified over a vehicle's life? And can solutions meet power, thermal, and cost constraints that make sense for mainstream vehicles, not just flagships? These questions sit at the center of the industry's push to scale advanced driver assistance across city streets, highways, and rural roads through common foundations. The Industry Picture Advanced driver assistance (ADAS) and automated driving (AD) have moved rapidly from premium options to mainstream expectations. With that shift comes a familiar set of challenges: delivering reliable performance across diverse road environments, validating safety at scale, managing power and cost, and ensuring that systems can be updated as sensors, regulations, and real-world conditions evolve. Automakers increasingly need platforms that can flex from entry-level features to sophisticated multi-sensor stacks without fragmenting software or hardware road maps. Automakers are developing ADAS and AD software stacks for these platforms to enable more advanced capabilities. They are adopting new types of AI models that can adapt to a broad range of driving conditions and situations. Automakers aren't doing this alone, though, and work with many companies throughout the automotive supply chain and the broader tech industry to achieve this. As automakers develop next-generation ADAS and AD solutions, it has become clear that the hardware and software in vehicles must be deeply integrated and optimized through data and real-world learning. Many well-known semiconductor companies have been working with automakers for years, enabling new vehicle functions not only through the chips they provide to automakers but increasingly through software. A major effort for automakers is developing AI models