EPISODE · Jun 18, 2026 · 19 MIN
Best of LinkedIn: Next-Gen Vehicle Intelligence CW 23/ 24
from Best of LinkedIn: Next-Gen Vehicles & Mobility · host Thomas Allgeyer, Frenus GmbH
We curate most relevant posts about Next-Gen Vehicle Intelligence on LinkedIn and regularly share key takeaways. We at Frenus support Tier 1 automotive suppliers with early-stage market validation for their R&D initiatives, combining in-depth secondary research, direct OEM expert interviews, and facilitated customer meetings to ensure strong product-market alignment. You can find more info here:https://www.frenus.com/usecases/early-stage-market-validation-test-oem-demand-before-burning-millions-in-r-d This edition outlines the transition from software-defined vehicles to AI-defined vehicles as the primary driver of automotive innovation through 2026. Industry experts highlight that platform agility, cloud-native diagnostics, and strategic partnerships are now more critical for success than traditional hardware scale. Significant focus is placed on the importance of virtual testing, open-source collaboration, and the rapid integration of generative AI to shorten development cycles. Regional shifts are also noted, with China emerging as a global leader while Europe focuses on securing its domestic chip design capabilities. Ultimately, the sources suggest that the future of mobility depends on system-wide cybersecurity, advanced hardware security, and adaptive driving models powered by live telemetry. This podcast was created via Google NotebookLM.
What this episode covers
We curate most relevant posts about Next-Gen Vehicle Intelligence on LinkedIn and regularly share key takeaways. We at Frenus support Tier 1 automotive suppliers with early-stage market validation for their R&D initiatives, combining in-depth secondary research, direct OEM expert interviews, and facilitated customer meetings to ensure strong product-market alignment. You can find more info here:https://www.frenus.com/usecases/early-stage-market-validation-test-oem-demand-before-burning-millions-in-r-d This edition outlines the transition from software-defined vehicles to AI-defined vehicles as the primary driver of automotive innovation through 2026. Industry experts highlight that platform agility, cloud-native diagnostics, and strategic partnerships are now more critical for success than traditional hardware scale. Significant focus is placed on the importance of virtual testing, open-source collaboration, and the rapid integration of generative AI to shorten development cycles. Regional shifts are also noted, with China emerging as a global leader while Europe focuses on securing its domestic chip design capabilities. Ultimately, the sources suggest that the future of mobility depends on system-wide cybersecurity, advanced hardware security, and adaptive driving models powered by live telemetry. This podcast was created via Google NotebookLM.
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Best of LinkedIn: Next-Gen Vehicle Intelligence CW 23/ 24
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