Alexander Renz

At this stage of the transition and considering current market conditions, consumer incentives can significantly enhance EV adoption and affordability in California. This approach also supports the automotive and battery industrial base across the country, as highlighted by John Bozzella, president of the Alliance for Automotive Innovation. For more details, you can read the full article here: https://lnkd.in/eDD_48g2

Inspiring Op-ed in the 'San Francisco Chronicle' by former U.S. Secretary of Energy! "From catalytic converters to electric vehicles, California has repeatedly challenged the auto industry to innovate - and American companies rose to meet that challenge. If Washington pulls back, California must lean forward. The vehicles the world is betting on are being designed now. With clear policy signals and sustained innovation from the Golden State, they can still be built by American workers and sold around the world." https://lnkd.in/eKQhhAW8

Great discussion with Laurence Iliff from Automotive News last week. We covered several themes that continue to define where the global auto industry is heading—and why China remains the reference point, not just a competitor. Key takeaways from our conversation: 🔹 China is no longer “catching up.” It is setting the pace on EVs, software-defined vehicles, supply-chain integration, and speed-to-market. The competitive gap is now structural, not cyclical. 🔹 The real disruption is organizational, not technological. China’s advantage comes from ecosystem orchestration—what I often describe as Tier-0.5 logic—where hardware, software, and manufacturing are co-developed rather than sequentially integrated. 🔹 EVs are just the entry ticket. The battleground has shifted to software architectures, AI-enabled features, cost discipline, and the ability to scale platforms globally. 🔹 Western OEMs face a strategic choice. Compete on legacy processes and incrementalism—or rethink operating models, partnerships, and decision velocity to match a very different system logic. 🔹 Globalization isn’t ending—it’s being re-written. The next phase will be defined by selective localization, ecosystem partnerships, and cross-border technology flows—not simple export models. More to come. #Automotive #ChinaAuto #EVs #MobilityTransformation #Automobility #Tier05 #SoftwareDefinedVehicles #GlobalCompetition #AutomotiveNews

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Very interesting article about E2E and modular systems in autonomous driving. A hybrid approach is indispensable if AD Stack Provider truly care about the safety of passengers and all road users. For years to come, this will remain the only responsible path toward scalable and trustworthy autonomy. Peter Schaefer, executive vice president and chief sales officer of automotive at Infineon Technologies, said at The Autonomous, “I’m convinced that end-to-end AI will bring us to Level 4 and 5. And it will help us to have faster learning cycles.” But Schaefer cautioned: “We also need to face the fact that we cannot trust the outcome of the E2E AI blindly.” Shaefer isn’t alone. Many automotive engineers are deeply concerned about E2E AI learning’s interpretability deficit. We agree! And cogniBIT has the missing piece of the puzzle. Let's make it withe box!! https://www.cognibit.ai/ We are the global lead in Human Behavior Modeling! 🦾🦾 https://lnkd.in/gpQWrSSC Junko Yoshida, thanks for sharing this great piece of work!

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A startup called ALSO. that spun out from Rivian and raised $105 million, launched an #electricbike, along with a delivery quad for logistics companies and another four-wheeler that consumers can use instead of a typical cargo bike. https://lnkd.in/eEzt55Cs

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We are using in our team RoadRunner to create complex scenes and driving scenarios for RADAR applications running on NXP S32R familly and for tailoring with simulation the behaviour of real time driving performance improvements running on S32N central compute for example. This is a powerfull toolbox that can save a lot of money by providing versatile scenario building for testing a car behavior in simulation.  Learn more how RoadRunner, MATLAB, and Simulink interface with NXP embedded devices at www.mathworks.com/NXP or www.nxp.com/MBDT

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