Best of LinkedIn: Autonomous & Mobility Markets CW 39/ 40

00:00:00: Provided by Thomas Allgaier and Freeness, based on the most relevant LinkedIn posts about autonomous mobility markets in calendar weeks thirty-nine and forty.

00:00:08: Freenes supports tier one automotive suppliers with early stage market validation for their R&D efforts.

00:00:13: By combining secondary research direct OEM expert interviews And facilitated customer meetings you can find more info into description.

00:00:23: So I want you to imagine something.

00:00:26: Imagine dialing nine one because a driverless car has just frozen, like right in the middle of an intersection and it is actively blocking a fire truck.

00:00:35: Oh man!

00:00:36: The ultimate nightmare scenario.

00:00:38: Literally so you run up to the car... You find the mandatory emergency number printed on the glass-you dial it

00:00:44: And?

00:00:45: ...and the line is completely disconnected.

00:00:48: Wow

00:00:49: Yeah

00:00:49: Are ya kidding me?

00:00:50: Nope That's not some dystopian hypothetical that actually happened during your regulatory test down at Texas.

00:00:58: See, it just completely shatters the illusion doesn't it?

00:01:01: It really does.

00:01:02: I mean we get so captivated by the whole you know look no hands magic of The Tech that we totally forget about the physical messy reality Of actually operating these things on real city streets.

00:01:12: Which is exactly why we're stepping out at the whole tech demo phase today Like if your building the next generation to vehicles or Your managing mobility networks for a City this deep dive Is built specifically For You.

00:01:25: Exactly No Fluff.

00:01:27: Right, no fluff.

00:01:28: We're looking at the top mobility trends focusing entirely on that gritty operational reality like how do we actually reach commercial scale?

00:01:49: It's enormous.

00:01:50: Oh yeah, you're suddenly dealing with real estate bottlenecks specialized logistics local regulations and highly unpredictable human behavior.

00:01:58: Let's actually start right there With the loudest noise in the industry Right now which is robo taxis.

00:02:04: We really need to look at the scale shift happening particularly The signals coming out of Europe

00:02:09: for sure.

00:02:10: Kay Stepper and Jan Jurekko were posting about this, they've been tracking the massive new partnership between Bolt & Lucid... Right!

00:02:17: ...and are gearing up to deploy at least twenty-five thousand robotaxes across European cities.

00:02:21: Twenty

00:02:22: five thousand?

00:02:22: Yeah.

00:02:23: And looking toward a target of one hundred thousand vehicles by twenty thirty five

00:02:28: Okay we really need to pause on that twenty five thousand number because that represents a fundamental transition in the market.

00:02:35: It

00:02:35: really does, we're no longer talking about like ten heavily monitored cars and some sunny geofence suburb

00:02:41: Right!

00:02:42: Deploying tens of thousands of vehicles means you are actively altering the physical footprint of a city.

00:02:47: Exactly And adding to that European momentum Gunner-Frow highlighted that Waymo has actually selected Munich for its first European launch.

00:02:55: They're aiming for twenty twenty seven

00:02:56: Which is fascinating.

00:02:58: all on it's own I mean Munich Not London, not Paris?

00:03:01: Well Munich offers a very specific regulatory and engineering environment.

00:03:06: But what Gunner points out about this rollout is crucial if you're in fleet management.

00:03:10: What's that?

00:03:11: well the company doing?

00:03:12: The heavy unglamorous lifting You know the overnight charging the deep cleaning of the emergency retrievals right yeah They're probably not going to be the autonomous software startups themselves That economics just they don't make sense for a tech company To build up physical infrastructure from scratch.

00:03:28: so who does it?

00:03:29: It's likely going to be the existing local car sharing and micro mobility operators.

00:03:32: I mean, they already have the depots.

00:03:34: They have the overnight shift logistics The deep local knowledge of the grid.

00:03:39: So Waymo basically just brings the digital driver

00:03:42: Exactly way.

00:03:43: mo brings the brain but a local partner has to supply the physical operational muscle.

00:03:48: You know it sounds like a franchise playbook.

00:03:50: Yeah

00:03:51: very much so.

00:03:52: And that perfectly frames what we were seeing from Tesla.

00:03:55: Guillermo Flore and Evan Small, who are analyzing the cybercaps currently operating autonomously around Austin.

00:04:01: Right!

00:04:02: The ones with no steering wheel?

00:04:03: No pedals

00:04:04: Exactly.

00:04:05: But...the business mechanism behind it is really demanding attention here.

00:04:09: Nicholas Hill described Tesla's strategy as a franchise-like model which completely reorients how should probably be viewing their market play.

00:04:19: Oh, it's an incredibly aggressive arbitrage on operational risk.

00:04:22: How so?

00:04:23: Just think about the balance sheet for a second.

00:04:25: Tesla maintains tight control over the vertical integration.

00:04:27: right The software or hardware platform and AI Sure But by selling these fleets to independent operators they are actively outsourcing all of the operational noise.

00:04:37: Like if you buy a fleet of fifty cybercabs You're holding that depreciating physical asset.

00:04:42: Oh wow Right

00:04:44: You have to handle the hiring of maintenance staff.

00:04:46: You deal with angry customers, you carry local insurance

00:04:50: liability.".

00:04:51: So Tesla captures high-margin revenue like vehicle sales and software subscriptions while pushing all that unpredictable physical risk onto franchisee?

00:05:00: Exactly!

00:05:01: It's brilliant on paper but...

00:05:03: Okay I'll push back a bit on this strategy though.

00:05:06: Go for it.

00:05:07: Are we getting, like so obsessed with the elegance of the software margins that were completely ignoring human element?

00:05:14: Elaborate on it.

00:05:16: Well offloading customer service in what is essentially a hospitality driven business seems incredibly risky.

00:05:23: It feels like I don't know its building this luxury five star hotel but refusing to staff at front desk just save on labor!

00:05:31: It doesn't feel just risky...it's arguably single biggest vulnerability.

00:05:36: Yeah, Miguel Guillen's research actually points this out.

00:05:39: He says that once a baseline of safety is achieved you know... Once the cars stop crashing The bottleneck flips entirely to the passenger experience.

00:05:47: Yes

00:05:48: Picture a rider getting into a cyber cab for uh You know A really expensive ride To the airport And the cabin just reeks Of stale cigarette smoke.

00:05:55: Ugh!

00:05:55: The worst.

00:05:56: Or there was like spilled coffee On the seat from last passenger Exactly.

00:06:05: The technology technically worked, right?

00:06:07: The car arrived safely but the product has catastrophically failed.

00:06:11: Yep

00:06:12: handling those weird edge cases gracefully is what builds brand loyalty.

00:06:16: and that takes you know dedicated customer care operations not just better routing code.

00:06:21: And it seems like the initial industry instinct as let's build more robots to clean up.

00:06:26: after humans Of

00:06:27: course It Is.

00:06:28: Yeah, Sergei Kochov was looking at Tesla's new robotic vacuuming and sanitation systems.

00:06:33: They're designed to maintain the cabins between rides.

00:06:35: but I mean even if you have a robot wiping down the seats that vehicle still has to physically go somewhere to be serviced

00:06:42: which triggers a massive largely ignored real estate crisis in these cities.

00:06:47: huge.

00:06:47: taking a cue from what Paul Hanley was observing about logistics properties traditional ride share works because the distributed workforce provides.

00:06:57: An Uber driver takes their car back to their own driveway at the end of a shift.

00:07:00: Exactly, but a RoboTaxi cannot do that!

00:07:03: Remove the human driver and you instantly remove your decentralized parking infrastructure.

00:07:07: It's all gone.

00:07:09: So this is going to drive intense demand for specialized autonomous vehicle depots.

00:07:13: We're talking about urban real estate that requires massive, industrial-scale power for fast charging around the clock zoning and high capacity road access.

00:07:22: And you can invent all of new AI but not in the middle of a dense city.

00:07:27: You

00:07:27: really cant.

00:07:28: This brings us right back into that disconnected call we started from Because infrastructure isn't just real estate it's the safety net.

00:07:37: Stephen Snyder's point about MVC News testing those mandatory AV emergency numbers in Texas, it is a massive red flag for the industry's readiness.

00:07:45: It exposes really fundamental flaw of how we are replacing human functions.

00:07:50: Think about it.

00:07:51: For a century The primary emergency contact and accident was sitting right there In the driver seat.

00:07:55: Yeah A police officer or firefighter just tapped on glass to get context Exactly.

00:08:01: And now We've replaced human situational awareness with ten digit phone number slapped On compliance form.

00:08:06: If that line goes to a dead end at three in the morning when an autonomous vehicle has blocked a critical intersection, The entire civic system breaks down.

00:08:14: And it's not just about what happens after an incident.

00:08:17: It is how vehicles behave leading up to it.

00:08:20: Philip Koopman has been urging industry to look way past this standard crashes per mile metric.

00:08:26: Oh That Is So Important.

00:08:28: He argues.

00:08:29: AVs blowing past stop school buses or navigating aggressively the wrong way through construction zones That might not technically result in a collision, but it is objectively reckless driving.

00:08:42: And that distinction is vital for market validation because you know ordinary people do NOT calculate statistical crash probabilities while they're walking down the street

00:08:51: Right.

00:08:51: They trust what feels predictable What FEELS SAFE.

00:08:55: A system that drives recklessly But just gets lucky?

00:08:58: That breaks social contract of road completely regardless.

00:09:02: some safety report claims

00:09:03: Trust is truly the currency here.

00:09:06: And hey, speaking of staying informed on these massive shifts this was a great moment to remind you to subscribe to The Deep Dive so that never miss an addition!

00:09:14: You know...the pace in this industry is just relentless and we want keep you ahead of the curve.

00:09:19: Relentless's the word for it.

00:09:21: but while the autonomous vehicle sector is now sort-of waking up to these gritty realities There's an entire other sector of mobility that has been living in the trenches for over half a decade.

00:09:34: Okay, let's pivot to micro-mobility then because if robo taxis are the loud disruptive new kid trying to figure out the rules, micro-wobility is quietly graduating into this mature institutional status.

00:09:48: The evolution of how this sector is financed basically tells the whole story here.

00:09:53: Look at the numbers.

00:09:53: Frederick Hale mistracking.

00:09:55: Voy recently secured a one hundred fifty million euro Revolving credit facility.

00:09:59: Wow, yeah

00:10:00: from a consortium of heavy hitting Scandinavian banks.

00:10:04: So why is a revolving credit?

00:10:05: Facility such a crucial signal compared to say standard venture funding?

00:10:10: because it completely changes the unit economics.

00:10:13: like in The early days micro mobility was just funded by speculative venture capital.

00:10:17: It's pure blitz scaling

00:10:18: right dumping thousands of cheap scooters onto sidewalks and just burning cash To acquire users.

00:10:24: exactly.

00:10:25: But a revolving credit facility backed by major banks?

00:10:29: That means the hardware is now viewed as predictable, depreciating asset that generates reliable cash flow.

00:10:34: Oh I see!

00:10:35: Yeah it means banks are treating e-bikes and scooters in the same way they treat utility infrastructure or you know airline fleets its institutional validation.

00:10:44: And we're seeing this exact same maturity reflected on how cities structure their contracts.

00:10:48: now Sean Madison was analyzing next phase of the Divi contract.

00:10:54: The operator is bringing in innovative new devices, their expanding stations and they're funding equity programs.

00:11:00: All at zero capital cost to the city!

00:11:02: That's massive...

00:11:04: The private operator handles a heavy capital expenditure while the City just dictates civic outcomes and service levels.

00:11:11: It's true public-private partnership now

00:11:13: And Gabe Klein makes argument that MicroMobility has officially transitioned from this novelty tourist activity To primary high volume transit mode.

00:11:22: The data definitely backs it up.

00:11:24: There are massive spikes in trips that directly begin or end at traditional transit hubs.

00:11:29: Yeah, and because it is a primary mode now the physical infrastructure is hardening.

00:11:33: We're finally moving past the era of tactical urbanism like just painting a white box on the asphalt and calling it a parking zone.

00:11:41: Exactly Alex Pasachanix has been praising Malmo's approach to this.

00:11:45: They're actually deploying custom modular micromobility parking furniture.

00:11:49: That smart

00:11:49: yeah.

00:11:50: It gives shared vehicles a permanent designed presence on the streetscape

00:11:54: And head of Hyerdahl notes a similar trend up in Norway where European transport delegations are literally flying just to study bike loops, secure e-bike parking and charging systems.

00:12:04: Cities are finally treating bicycle storage with the same architectural seriousness as a multi story car garage.

00:12:10: Okay I'll have to interject here though With little reality check on all this supposed maturity.

00:12:16: Uh oh Here it comes.

00:12:17: Well

00:12:17: if financing is so institutional and the infrastructure is getting so sophisticated.

00:12:22: Why does it feel like cities are still completely flailing when it comes to regulation?

00:12:26: That's a fair point!

00:12:27: Right now, local governments regulating this space... It's trying to regulate a golf cart in a Porsche nine-eleven using the exact same rulebook simply because they both happen to have four wheels.

00:12:38: That is the perfect analogy, and it captures the exact friction operators are facing every single day.

00:12:43: The fundamental law of policy which Dan Siracchi and Tyler Medell both emphasize...is that you cannot safely regulate what you refuse to accurately

00:12:51: define.".

00:12:52: And New York has an absolute poster child for this failure right now?

00:12:56: Oh one hundred percent!

00:12:57: New york's drowning in chaos because these illegal heavy high-speed E-Motos are being misleadingly marketed and sold online as e-bikes.

00:13:06: Right.

00:13:07: A device with a throttle that can hit forty miles an hour has fundamentally different kinetic energy profile than a lightweight, pedal-assist bicycle tops out at fifteen miles per hour.

00:13:17: Obviously!

00:13:18: But because the law lazily categorizes basically everything with a lithium ion battery together safe low speed devices are getting hit by these incredibly heavy handed unfair crackdowns.

00:13:28: It creates impossible situation for law enforcement on ground and it actively endangers users who actually in bike lanes.

00:13:36: Dan Serracci argues that the only way out of this is strict, visually obvious classification frameworks.

00:13:41: Like if it operates via a high-speed throttle It must be legally treated like a moped

00:13:47: meaning visible registration plates licensure and insurance

00:13:50: Exactly.

00:13:51: And If its low speed pedal assist it remains a bicycle

00:13:54: simple.

00:13:55: Yeah We are starting to see some leadership on This.

00:13:58: Lars Christian Grotem Olsen points Out That The Mayor Of London Is Actively Pushing To Dismantle Their Current Wild West Approach.

00:14:05: Oh, because right now every single borough in London has contradictory parking rules.

00:14:09: Right?

00:14:09: Yeah!

00:14:10: Contradictory rules and different fleet caps.

00:14:12: A unified city-wide regulatory framework is literally the only way a mature operator can actually run a reliable business.

00:14:20: Bringing order to the streets Is definitely the ultimate goal Which provides pretty seamless bridging To our final area of focus today.

00:14:27: Let's hear it

00:14:28: The commercial scaling of robo taxis And institutional maturation Of micro mobility.

00:14:32: They are forcing a complete ground-up reevaluation of the foundational layer of our cities.

00:14:38: The physical parking garages, traffic signals... Even the legacy public transit networks!

00:14:44: Everything has to adapt these new kinetic

00:14:47: realities.".

00:14:47: Let's just strip it down into most basic urban asset —the parking space.

00:14:53: Frank Cheng wrote this phenomenal breakdown on how parking management is undergoing massive structural transformation….

00:14:59: For almost one century, parking operators basically sold human labor.

00:15:03: You pay for a cashier in a booth or a valet to take your keys.

00:15:06: Right, today that real estate is being layered with AI dynamic pricing algorithms and sensor networks.

00:15:12: Garages are no longer just storage boxes for idle metal.

00:15:15: they're transforming into

00:15:17: active

00:15:18: high turnover mobility hubs.

00:15:20: And the underlying economics of this shift are staggering.

00:15:23: Sam Pohian points out when you look at the balance sheet on a mature multimodal hub The actual storage vehicles like parking itself accounts for less than a third of the total revenue.

00:15:35: Less then one-third, that's wild!

00:15:37: Yeah... The facility generates majority its yield through fast charging networks, integrated community retail and staging areas for mobility services.

00:15:47: The concrete asset is exponentially more valuable when it acts as node in digital network.

00:15:53: But integrating physical concrete with a digital network requires relentless, accurate data.

00:15:59: Justin Effinger argues that traditional traffic signal timing is completely obsolete.

00:16:04: Cities used to treat intersection-timing as this like fire and forget project.

00:16:08: they updated maybe every five years?

00:16:10: Yeah!

00:16:10: They just set a timer and walked away... Exactly

00:16:13: but travel patterns are completely fluid now.

00:16:16: delivery algorithms changed daily micromobility fleets shift based on the weather.

00:16:21: Intersections require continuous monitoring and dynamic active management.

00:16:26: Which means city planners need fundamentally better instruments.

00:16:29: Tamer Alzouvi points to Wellington's new Poneke Travel Insights dashboard as the gold standard here.

00:16:35: What makes it so good?

00:16:36: Well,

00:16:37: for decades urban dashboards only tracked one metric How fast are cars moving

00:16:42: Right?

00:16:42: vehicle throughput?

00:16:43: Yeah

00:16:44: But Wilington system actively tracks walking density, cycling throughput and transit reliability alongside vehicular traffic.

00:16:52: As Tamer puts it what a city measures dictates What does City manages if your sensors only detect cars?

00:16:59: Your policies will only prioritize cars.

00:17:01: It's so true.

00:17:03: I do want to ground this in reality for a second though.

00:17:05: We talk about all these dynamic AI dashboards and smart sensors, but can any of this shiny new technology actually solve the most stubborn century old problem we have?

00:17:16: Which is

00:17:17: getting people to actually ride the bus.

00:17:19: Ah yes

00:17:20: because I could tell you throwing an AI dashboard at a bus stop doesn't make me want to write a bus that is reliably twenty five minutes late.

00:17:28: no it doesn't And That Is The Core Tension Of Urban Mobility.

00:17:32: Vittorio Dini Offers An Incredible Framework To Answer This.

00:17:34: Actually

00:17:35: Okay, let's hear it.

00:17:37: He argues that autonomous passenger cars robo taxis won't actually change urban congestion or human habits at all.

00:17:44: You're still sitting in a metal box Taking up the exact same geometry on the road stuck in the exact Same traffic.

00:17:50: It just changes who is driving

00:17:52: right?

00:17:53: But if we apply autonomous technology to public transit We can fundamentally alter the geometry of the city

00:18:00: and transit Is actually an easier engineering problem for autonomy anyway.

00:18:03: Right you're dealing with fixed predictable routes, dedicated lanes and much lower speeds.

00:18:09: Precisely!

00:18:09: And more importantly you solve the single biggest operational bottleneck in transit today which is the structural shortage of human drivers.

00:18:16: Oh wow yeah.

00:18:17: If autonomy removes the staffing constraint Transit agencies can massively increase frequency without bankrupting their operating budgets.

00:18:24: Okay that makes sense.

00:18:26: if You could make a bus arrive every four minutes instead of every twenty five minutes?

00:18:32: People don't check timetables for a subway, they just walk up to the platform knowing a train is coming.

00:18:37: Right because there's always one coming.

00:18:38: Exactly When you provide that level of frequency on street-level You permanently change human behavior.

00:18:44: We

00:18:45: possess this technology right now.

00:18:47: we need political will point it at bus rather than luxury sedan.

00:18:52: In meantime while waiting for autonomous buses Operators are finding some brilliant ways bridge gap.

00:18:59: Adam Lentz shared how Waymo is building an ecosystem approach in the Bay Area rather than just competing with transit.

00:19:05: Oh,

00:19:05: I saw this!

00:19:06: The Waymo cash incentive?

00:19:07: Yeah

00:19:08: If you take a robo-taxi and then tap to pay at a connecting public transit agency within two hours Waymo effectively reimburses the cost of your transit fare.

00:19:16: That's

00:19:17: so smart.

00:19:18: They are actively using private capital To subsidize and incentivize multimodal journeys.

00:19:23: It is a brilliant strategy to embed themselves into the civic fabric rather than fighting it.

00:19:28: But ultimately, whether we're talking about unified smart signals autonomous transit networks or integrated mobility hubs everything lives our eyes on execution.

00:19:38: and execution is exactly where so many ambitious mobility projects collapse

00:19:42: entirely.

00:19:43: Paul McCullough provided a very sobering comparison for the industry here.

00:19:47: He contrasted the UAE's remarkably fast and successful rollout of its National Passenger Rail Network with the UK's agonizingly frustrating, delayed HS-II high speed rail project.

00:19:58: Night & Day difference.

00:19:59: The UAE moved from national ambition to strategic alignment To operational reality With incredible speed.

00:20:06: It

00:20:06: proves that delivering massive infrastructure isn't primarily an engineering challenge anymore.

00:20:11: The engineering is largely a solved commodity, it is entirely governance challenge.

00:20:16: strategic clarity rapid decision making frameworks and unyielding accountability are what actually deliver mobility solutions to the public.

00:20:24: that has very powerful lesson for anyone managing project roadmap right now.

00:20:29: as we wrap up this deep dive Want to step back from the specific technologies and pose a broader question.

00:20:36: Drawing on some recent work from Kevin Comstock around systems stewardship.

00:20:41: Oh, this is a vital perspective.

00:20:43: We get so easily dazzled by the capability of the AI in the sleekness Of the hardware that we forget very basic truth technology does not sustain itself

00:20:53: exactly.

00:20:54: We've spent this entire discussion talking about automating The driver away.

00:20:58: but as you build out your mobility strategies Ask yourself this.

00:21:03: As we replace the human in the driver's seat with artificial intelligence, are we actually eliminating human labor or are we just shifting it?

00:21:11: Right

00:21:12: Are we moving those jobs into massive hidden warehouses of remote operations monitors sensor calibration technicians and deep cleaning crews?

00:21:21: The future of automated mobility might not mean fewer humans in the loop.

00:21:25: It may just require an entirely new generation of human stewards to keep all machines running.

00:21:45: Thank you so much for joining us.

00:21:47: Don't forget to hit that subscribe button and we will catch on the next deep dive!