The automotive industry markets the Software-Defined Vehicle (SDV) as a smartphone on wheels that evolves effortlessly over-the-air. True SDVs remain constrained by severe physical limitations. Automakers continue to build ever complexer software architectures without providing computational headroom necessary to meet evolving software requirements, let alone vehicle customization. This talk diagnoses the structural bottlenecks keeping the automotive industry trapped in the past. It discusses the mismatch between bloated cloud-native software and under-dimensioned vehicle hardware. Rather than engineering silicon with genuine headroom for future feature expansion, cost-driven procurement forces systems to run resource-heavy POSIX environments, dynamic middleware, and deep-layer data translation engines on tightly budgeted chips. This hardware scarcity is compounded by an over-reliance on memory-unsafe languages like C/C++, leaving system architects to address vulnerable to buffer overflows and fatal crashes with more software layers. Furthermore, while abstractions like the Vehicle Signal Specification promise a unified data language, they are implemented as wasteful, compute-heavy translation layers on top of rigid AUTOSAR signal matrices. Attendees will gain insights into the following topics: • Under-Dimensioned Silicon: How specifying tight, cost-optimized hardware constraints ruins the promise of dynamic, runtime feature expansion and long-term vehicle upgradability. • Memory-Safety Concerns: Why running memory-unsafe stacks on constrained hardware forces an impossible compromise between security sandboxing and system performance. • The Safety-Agility Paradox: Why current architectures fail to reconcile strict ISO 26262 safety verifications with the resource demands of continuous over-the-air updates. Ultimately, this session will outline a pragmatic path forward, addressing how the industry must rethink hardware-software co-design to make the SDV dream a reality.