Best of LinkedIn: Next-Gen Vehicle Intelligence CW 09/ 10
Show notes
We curate most relevant posts about Next-Gen Vehicle Intelligence on LinkedIn and regularly share key takeaways.
This edition explores the fundamental shift of the automotive industry toward Software-Defined Vehicles (SDVs), where digital architecture and connectivity replace traditional mechanical engineering as the primary value drivers. Industry experts discuss how this transformation impacts safety systems, such as steering angle sensors and ADAS, while introducing new cybersecurity risks at the cloud and API levels. The texts highlight a growing competitive divide between Western legacy automakers struggling with organizational stability and Chinese manufacturers who utilize rapid iteration and shared ecosystems to lead the market. Strategic debates focus on the viability of subscription-based revenue models, the move from Level 3 to Level 2+ autonomy, and the necessity of open-source collaboration through platforms like Eclipse SDV. Additionally, the collection covers the critical role of over-the-air updates, integrated testing environments, and the economic pressures of decarbonization and global trade. Ultimately, these reports and insights underscore that future mobility depends on mastering software complexity, establishing resilient digital foundations, and fostering cross-industry partnerships.
This podcast was created via Google NotebookLM.
Show transcript
00:00:00: Brought to you by Thomas Allgeier and Frennis, this Adrien highlights key LinkedIn posts on next-gen vehicle intelligence in weeks nine and ten.
00:00:09: Frenis supports automotive enterprises and consultancies with market and competitive intelligence decoding disruptive technologies customer needs regulatory change And competitive moves.
00:00:20: so product teams and strategy leaders don't just react but shape the future of mobility.
00:00:25: Welcome to the deep dive, everyone.
00:00:27: We are really excited to have you with us today.
00:00:29: Yeah!
00:00:30: we've got an amazing lineup.
00:00:31: Today were exploring the top next-gen vehicle intelligence trends that was seen across LinkedIn during calendar weeks nine and ten.
00:00:39: It is a packed agenda the reality of vehicle software platforms, the geopolitical race happening in mobility right now and that big pivot in autonomous driving.
00:00:49: Right!
00:00:49: And we'll also get into ecosystem collaboration...and of course the invisible threats in automotive cybersecurity…it's a lot to cover
00:00:56: It really is.
00:00:57: So let's just dive right into it.
00:00:59: Let's start with the foundational shift that is basically defining the whole industry now, The transition from hardware-first engineering to software defined vehicles or SDVs.
00:01:09: Yeah...the big buzzword!
00:01:11: Exactly.
00:01:12: and I want kick things off a post for Michael Beller.
00:01:16: He had this really optimistic take about vehicles becoming these updatable intelligent systems.
00:01:21: Which was the dream right?
00:01:22: Right.
00:01:23: But then Sabine McGough came in with a massive reality check.
00:01:28: She compared this whole shift to SDVs, to astronomy's great filter.
00:01:32: Oh wow that is an aggressive analogy.
00:01:34: It
00:01:35: is but it makes so much sense.
00:01:36: like the Great Filter Is This Structural Barrier where OEMs essentially have to get much slower and endure all these rising costs before they can actually get faster.
00:01:46: And reap the benefits of a platform?
00:01:48: Yeah, I mean it's a structural desert.
00:01:49: They have to cross in Vinicius to do design really built on this with an economic perspective.
00:01:54: What did he say?
00:01:55: well He argued that SDV fragmentation isn't just a technical issue.
00:01:59: You know It fundamentally changes The cost curve.
00:02:01: so if you Have fragmented life cycles across All your different car models Your costs don't Just grow linearly.
00:02:08: they Grow super Linearly
00:02:10: Wow.
00:02:10: Okay, let's unpack this for a second.
00:02:12: is building an SDV platform essentially like trying to replace the foundation of a house while The family still living inside it?
00:02:19: that Is exactly what?
00:02:20: It's like you have To keep the legacy systems running to pay the bills While ripping out the floorboards.
00:02:26: and That brings me to Marcus Rett Stetz provocative thought on This.
00:02:29: he said that if in OEMs still needs Like A spreadsheet to figure out what breaks when a requirement changes, then it's not a software-defined vehicle.
00:02:39: Oh I saw that!
00:02:39: Yeah he has the PowerPoint defined vehicle.
00:02:42: The truth has to live in git Not in management dashboards
00:02:45: Powerpoint Defined Vehicle.
00:02:47: That is brilliant and so true For you listening whether your an engineer or strategy leader... ...the takeaway here pretty stark Which
00:02:53: Is
00:02:54: If your organization isn't willing to endure really painful structural transition of shifting power away from local vehicle programs, the technical architecture isn't going to save you.
00:03:06: It's culture over code basically?
00:03:08: Exactly and if that internal struggle wasn't hard enough we have to look at how different regions are handling this pressure right.
00:03:14: moving from the internal OEM struggles to the global battlefield.
00:03:18: yeah and the velocity of innovation here is just wild.
00:03:22: It really
00:03:23: is.
00:03:23: H-Ming Wino shared this fascinating data point, did you see the numbers on fleet ages?
00:03:28: I did but break it down for everyone.
00:03:30: So China is iterating its SDVs on a fleet with an average age of just five point five years.
00:03:36: Meanwhile The US and Europe are trying to debug things On legacy fleets that averaged twelve plus years old.
00:03:42: That is massive gap!
00:03:44: It's
00:03:44: huge!
00:03:45: Mangrino pointed out that China competes on velocity while the West still competing on life cycles.
00:03:50: Yeah Syed Hasip Hasan layered into this perfectly.
00:03:53: He brought up Chancellor Friedrich Merz's recent comments on Germany's productivity gap,
00:03:58: right?
00:03:58: And just to jump in here for you listening we want to be super clear.
00:04:02: We are not endorsing any political viewpoints regarding Trump or tariffs or anything like that.
00:04:08: We're just impartially reporting on the strategic market dynamics from these sources
00:04:12: Exactly.
00:04:13: Purely looking at the business side, and Hassan explains that the architectural difference is what matters here.
00:04:19: EU OEMs validate for perfection in a lab.
00:04:22: they want it flawless before it hits the road which
00:04:24: takes forever
00:04:25: right?
00:04:25: but Chinese OEM's they validate with millions of users actually out on the road.
00:04:30: They learn in real time
00:04:31: And The brain consequences Of this race are really starting to show.
00:04:35: Pedro Pacheco noted That Audi Actually had A rely On the chinese oem I I am motors for their EV tech.
00:04:42: I remember reading that
00:04:43: yeah, and because of that Audi had to drop their prices And essentially dilute.
00:04:48: they're premium brand power.
00:04:50: They just couldn't move fast enough internally.
00:04:52: it's a tough spot To be in
00:04:53: and Philip brash highlighted something even wilder.
00:04:56: Ford CEO Jim Farley met with the Trump administration to propose bringing Chinese automakers To produce in the?
00:05:03: u.s via joint ventures,
00:05:04: which is just crazy when you think about the history.
00:05:06: totally it's reversing The exact playbook China used against the West forty years ago.
00:05:11: It
00:05:11: really is a full circle moment and it makes me think of Augustine Friedel concept at the four tribes of automotive.
00:05:17: Oh yeah walk us through that.
00:05:19: so he maps out the industry from specialized hardware makers all the way two ecosystem players.
00:05:26: And his main point is that the most dangerous place to be right now isn't just being a legacy hardware maker.
00:05:32: What's worse than that?
00:05:33: Being a legacy Hardware Maker, that deludes itself into thinking it's a nimble software ecosystem player.
00:05:39: Ouch!
00:05:40: Yeah pretending to be tech company when you're still relying on spreadsheets
00:05:44: Exactly You can't fake anymore.
00:05:46: Well and because this geopolitical and technical race Is too fast for anyone OEM To win alone They are forced to collaborate.
00:05:55: Which brings us to the ecosystem conversation.
00:05:58: Right, Brian Carlson and Matt Damascino posted about The SDverse Marketplace celebrating its second anniversary.
00:06:04: It's basically this hub for new collaboration.
00:06:06: Yeah places share in by software components.
00:06:09: But
00:06:09: here is my pointed question For you if everyone Is sharing open-source Software like who actually takes the blame when the brakes fail?
00:06:16: That is the ultimate Question.
00:06:17: right?
00:06:17: And Naveen C broke This down beautifully By comparing Eclipse S core and Alloy Core.
00:06:22: Okay what's the difference?
00:06:23: Well!
00:06:25: That's Desco R is where the open collaboration happens.
00:06:28: It's fast, it's open source
00:06:30: but maybe not road ready
00:06:32: exactly.
00:06:33: you absolutely need a foundational safety certified layer like alloy core sitting underneath right
00:06:39: to handle The liability in the audits.
00:06:41: yes Open Source is great for innovation But it has to be as Naveen says shipable.
00:06:47: You need release discipline when people's lives are on the line.
00:06:50: That makes total sense.
00:06:51: And this ecosystem expansion isn't just happening in software, it's applying to connectivity too!
00:06:56: David Fidalgo pointed out that connectivity is not an add-on radio component anymore.
00:07:01: No its the core architecture.
00:07:02: Right and Keven Carger highlighted BMW partnering with NTT Docomo.
00:07:06: Oh
00:07:07: the telecom partnership.
00:07:08: Yeah,
00:07:08: telecoms are literally becoming tier one automotive suppliers now.
00:07:12: Massive over-the-air updates and cloud assisted A days.
00:07:15: They require a five G digital backbone.
00:07:17: Yeah, the value team has just permanently expanded.
00:07:20: you can't build a smart car with a bad cell connection
00:07:22: Exactly.
00:07:23: So with all this computing power and connectivity, what does it actually mean for the driver?
00:07:27: Like... What about the promise of self-driving cars?
00:07:29: The autonomy reality check?
00:07:31: Yes!
00:07:32: Let's get into safety in sensors.
00:07:35: I loved this fun fact from Sony Andrews Jobudas.
00:07:38: He mentioned that these tiny steering angle sensors are quietly powering lane departure warnings And they've reduced relevant crashes by eleven percent.
00:07:47: That
00:07:48: huge for such a small component
00:07:50: It is, but despite those sensor advancements there's a massive reality check happening in higher level autonomy.
00:07:57: Partha Goswami and Andrea Leitner both pointed out that BMW and Mercedes are actually abandoning eyes off Level Three Autonomy.
00:08:04: They're
00:08:04: stepping back from it?
00:08:04: Yeah to refocus on Level Two Plus.
00:08:06: Well I can explain why this happened.
00:08:08: Level three has incredibly conflicting requirements
00:08:11: Like what.
00:08:12: So the system tells driver hey you look away But then it demands that they take control instantly if the system fails.
00:08:19: Which is a terrifying handoff!
00:08:20: Exactly, and it carries immense legal liability for the automaker Plus.
00:08:25: as Roger C Langtod points out companies like GM & Tesla are finding level two plus is just massive subscription revenue gold mine.
00:08:33: Oh because it keeps the driver legally engaged?
00:08:36: Yes
00:08:37: The drivers legally responsible but their comfortably assisted.
00:08:40: It's way less risk for the OEM, but they still get the recurring revenue.
00:08:44: So
00:08:44: wait what does this all mean?
00:08:45: For the automotive engineer?
00:08:46: are they just becoming like glorified IT workers?
00:08:50: not at All.
00:08:50: Chauncey had a brilliant insight on this.
00:08:52: he pointed out that A modern vehicle has hundred million lines of code making thousands Of probabilistic decisions.
00:08:59: a
00:08:59: hundred million.
00:09:00: That's hard to even wrap your head around
00:09:02: right.
00:09:02: and his point is there software won't replace engineers it will expose them.
00:09:07: engineering is shifting from precision coding to judgment.
00:09:10: Judgment?
00:09:11: I like that!
00:09:12: Yeah, what should a four-thousand pound machine do when it doesn't know What To
00:09:15: Do?!
00:09:15: That takes deep engineering judgement not just basic coding.
00:09:18: But When vehicles are relying entirely on AI and software And cloud connectivity...what happens when those systems Are maliciously manipulated?
00:09:28: The dark side of SDVs.
00:09:30: Let's dive into our final theme the invisible threats in automotive cybersecurity.
00:09:36: Bob Carver brought up a really terrifying point about AI adversarial attacks.
00:09:40: Oh, the stop sign example?
00:09:41: Yes!
00:09:42: He pointed out that you don't even need to hack a car's computer to crash it.
00:09:45: You just alter a few invisible pixels on a physical stop sign
00:09:49: And a human wouldn't notice it.
00:09:50: Right
00:09:51: But the cars' AI misclassifies as speed limit signs.
00:09:54: That is genuinely scary.
00:09:56: and broader attack surface is exploding.
00:10:00: Tonskip noted that attacks on automotive organizations doubled in twenty-twenty five.
00:10:04: Doubled?
00:10:05: In one year!
00:10:06: Yes,
00:10:06: and they're moving away from the vehicle itself.
00:10:09: now They're targeting cloud APIs.
00:10:11: Yeah And Dennis Laskoff had a warning about those OBD two dongles.
00:10:15: you know The ones people plug in for insurance discounts.
00:10:17: Oh yeah the companion apps.
00:10:19: right there's actually massive backdoors.
00:10:21: You found that seventy percent of them have security vulnerabilities.
00:10:24: That is wild.
00:10:25: You think you're saving money on insurance and just giving hackers the keys to your car?
00:10:29: Exactly, even embedded storage is a critical vulnerability now as Stefan Schumacher pointed out.
00:10:35: So
00:10:35: how do automakers begin to defend against all of this?
00:10:39: Imran Khan uses this great house framework analogy to synthesize these threats.
00:10:45: He says vehicles don't fail neatly inside individual standards anymore.
00:10:49: What do you mean?
00:10:50: They fail at the messy boundaries between different safety protocols So between functional safety, SODIF which is the safety of the intended functionality AI Safety and cybersecurity.
00:11:01: It's all connected
00:11:02: right?
00:11:03: if someone hacks your AI it causes a SODIFT failure Which leads to a physical safety failure.
00:11:08: you can't just isolate them?
00:11:09: Which is exactly why Vikas Chaudhary made that huge prediction for twenty-twenty eight.
00:11:13: He said cybersecurity won't just be an IT headache anymore.
00:11:16: It'll be a brand differentiator
00:11:18: Exactly, and a strict requirement for market access globally.
00:11:21: If you can't prove your car is secure You literally won't be allowed to sell
00:11:24: it.
00:11:38: Also check out our other editions on electrification and battery technology, future mobility in market evolution and commercial fleet insights.
00:11:45: Thank you so much for joining us on this deep dive.
00:11:47: don't forget to subscribe.
00:11:49: And I want to leave you with one final lingering question to ponder.
00:11:53: Let's
00:11:54: hear it
00:11:54: If software updates allow a vehicle to continuously evolve and improve its capabilities years after It leaves the factory.
00:12:01: are we approaching The end of the traditional model year?
00:12:05: Think about it soon.
00:12:06: Buying a twenty-twenty six car might mean absolutely nothing because the car you drive in twenty thirty will be fundamentally smarter than the day You bought.
00:12:14: that is a wild thought.
00:12:15: to end on thanks for tuning In everyone.
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