Transforming MCUs in an AI-Defined Era
summary
Argues that automotive compute shifts gradually from ~130 discrete ECUs toward hybrid zonal architectures rather than a single central box, cites OEM divergence and a measured zonal pathway, reports MCU value rising ~4% despite flat volume as MCUs gain on‑chip AI/ML, connectivity and more compute, defines physical AI as edge AI with zero latency that always fails safely, warns against building bespoke AS6 ASICs unless they solve a clear problem.
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chapters (14)
- 0:00Introduction and welcome
- 0:43Software-defined vehicles overview
- 2:08MCU evolution and future role
- 4:16Physical AI definition
- 4:37ADAS levels and software-defined vehicles
- 6:45Zonal architecture in automotive
- 8:51IVI as a consumer overlay
- 10:13MCU-based systems over apps processors
- 11:59OEM transformation and centralization
- 13:01MCU value and capability growth
- 14:04Avoiding unnecessary custom solutions
- 14:46Organizational restructuring for AI
- 15:48AI-defined vehicles and zonal MCUs
- 16:29Conclusion and future outlook
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