Doria Holbrook is CEO of Oro Mobility, the fleet platform Hertz launched this year to own, operate and orchestrate vehicles for ride-hail and autonomous platforms. Before Hertz, she worked at Cruise and helped build Amazon's last-mile delivery network. Oro runs a 45,000-vehicle rideshare fleet across 33 US markets and works with Lucid, Nuro and Uber on its first autonomous fleet in the Bay Area.

First, the origin. Daniel Abreu Marques asks why Hertz spun Oro out instead of keeping it in-house, what makes innovation inside a hundred-year-old company hard, and where the name comes from.

Then the model. Doria explains why Oro treats its driver-led fleet as the precursor to driverless operations, what an AV company actually buys from Oro, how pit stops differ from depots, and where Oro draws the line on remote assistance.

Then the operations: what the Atlanta pilot taught the team, which KPIs partners measure, and why years of maintaining a large EV fleet transfer to autonomous vehicles.

Then the money: what the $80 million strategic investment will fund, how Oro sets itself apart from other fleet operators, and why the missing residual-value market makes autonomous vehicles hard to finance.

It ends with Europe, Hertz's franchise network, and what success looks like for Oro over the next five years.

CHAPTERS

0:00 - From Hertz to Oro Mobility
5:48 - Why driver-led comes before driverless
8:03 - What an AV company buys from Oro
12:55 - Lessons from the Atlanta pilot
15:53 - The first autonomous fleet and the EV playbook
20:09 - The $80M raise and the competition
23:55 - Residual value: the robotaxi financing problem
25:54 - Europe and the next five years

LINKS

The AV Market Strategist (newsletter) - https://avmarketstrategist.substack.com 

Listen on Spotify - https://open.spotify.com/show/7KilrHXFnMqafvtLMQDWXw 

Listen on Apple Podcasts - https://podcasts.apple.com/de/podcast/autonomy-insiders/id1883492805

Doria on LinkedIn - https://www.linkedin.com/in/doriaholbrook/

Oro Mobility - https://www.oromobility.com/

#Robotaxi #FleetOperations #AutonomousDriving #Hertz #AutonomyInsiders

Taavi Rõivas was Prime Minister of Estonia. Today he chairs Auve Tech, a Tallinn company that designs its own eight-seat shuttle, MiCa, and its own self-driving software. Its shuttles run in small Japanese towns, in West Palm Beach and Abu Dhabi, and on the airside of Tallinn Airport with nobody on board.

First, the bet. Daniel Abreu Marques asks why Auve Tech chose low-speed shuttles when most of the money chased robotaxis, why Navya and EasyMile struggled, and why a company this size builds the vehicle and the software instead of picking one. Taavi explains the redundancy behind MiCa and how a new route goes from 3D map to driverless.

Then the economics. A driverless shuttle costs more than a minivan, so the saving has to come from the driver. Taavi explains how many vehicles one remote operator must monitor before the numbers flip, why that ratio differs between Switzerland and Dubai, and why the driver shortage at airports matters as much as cost.

Then the deployments: what the regulator needed to see before the safety operator could leave the vehicle at Tallinn Airport, why the customer there also sends tools and aircraft parts on their own, and what daily rides with elderly passengers in Japan show about acceptance.

It ends with the Middle East, Chinese robobuses arriving in Europe, whether "made in Europe" really sells, and the one rule a former head of government would change to scale driverless shuttles.

CHAPTERS

0:00 - From Prime Minister to driverless shuttles

4:06 - Why shuttles, not robotaxis

9:39 - Inside MiCa: full stack, redundancy, new routes

16:25 - The economics: when driverless beats a driver

26:50 - On the ground: Tallinn Airport, Japan, Florida

35:57 - Regulators, the Middle East and the next two years

39:57 - Chinese robobuses and the one rule to change

GUEST

Taavi Rõivas, Chairman of Auve Tech and former Prime Minister of Estonia. Auve Tech designs and builds the MiCa autonomous shuttle and its self-driving software in Tallinn.

LINKS

Taavi on LinkedIn - https://www.linkedin.com/in/taaviroivas/

The AV Market Strategist (newsletter) - https://avmarketstrategist.substack.com

Listen on Spotify - https://open.spotify.com/show/7KilrHXFnMqafvtLMQDWXw

Listen on Apple Podcasts - https://podcasts.apple.com/de/podcast/autonomy-insiders/id1883492805

Subscribe on YouTube - https://www.youtube.com/@AutonomyInsiders

#DriverlessShuttle #AutonomousDriving #Robotaxi #Estonia #AutonomyInsiders

If the driving software comes from California, China or Israel, what actually stays in Europe? Who earns the money, who employs the people, and who owns the fleets?

Lukas coined the term “mobility revolution” more than ten years ago, built on three zeros: zero emissions, zero accidents, zero ownership. He started his career at BMW and Allianz, has written four books on mobility and cities, co-founded PAVE Europe and the Urban Places Lab, and runs Neckermann Strategic Advisory in London.

In this episode:

• Why Europe’s path is an extension of public transport, not a substitute for it
• Why one type approval framework beats a patchwork of US city permits
• Why most robotaxi revenue sits in fleet management, not software
• Why banks and lessors are still on the sidelines
• What has to be true by October 2027 for Europe to win

Chapters
00:00 Intro
02:11 Why both camps are wrong: Europe’s own path
07:44 Regulation as a head start, and why pilots die
12:22 Oslo and the public transport playbook
14:45 Where the money really stays: orchestration and insurance
19:37 The vertical integration myth and the hidden labor behind robotaxis
25:14 Who will own the fleets: banks, lessors and residual values
28:34 Serving the suburbs: regulation, ride pooling and mobility deserts
34:13 Europe in 2027 and 2030, and where to meet Lukas

Links

My newsletter: The AV Market Strategist

Lukas on LinkedIn

Urban Places Lab on LinkedIn

PAVE Europe

Till Stegemann is a lawyer at Rödl in Berlin. He advises cities, transport operators and companies on autonomous mobility. He is a co-author of the German Federal Ministry of Transport's handbook "Autonomous Driving in Public Transport", a practical guide for cities and transit operators on bringing driverless vehicles into public transport.

In this episode, Till walks through the German process step by step. Which permit, from which authority, in which order, and what has to be in the file. We cover the vehicle approval from the KBA, why the functional safety concept is where applications stall, what the technical supervisor may and may not do, and how EU and UN rules change the picture. We close with Till's verdict on why Germany has the law but not the market, and what cities and operators should do first.

Chapters
00:00 Intro: Germany's legal head start
01:37 The architecture: StVG, AFGBV and the SAE levels
09:01 Permit 1: Vehicle approval from the KBA
18:20 Permit 2: Operating area approval and the Berlin real-world test
24:12 The technical supervisor and the vehicle holder
29:22 Passenger transport permit and liability
32:30 EU type approval and the new UN regulation
37:48 Why Germany is not the first market
40:44 Advice for cities and operators

Links

My Newsletter with weekly AV Industry Analysis: https://avmarketstrategist.substack.com/

Handbook "Autonomous Driving in Public Transport" (German Federal Ministry of Transport): https://www.bmv.de/SharedDocs/DE/Anlage/K/autonomes-fahren-oeffentlicher-verkehr.pdf?__blob=publicationFile

Till Stegemann on LinkedIn: here

Tym Syrytczyk co-founded the Institute for Driverless Transport (IFDT), an independent UK research body, and writes Self-Driving Insights. His recent piece on getting permission to run a robotaxi service in London is the plain-English explainer. This episode walks through it in order.

The law comes first. Two Acts separate supervised rides from driverless ones. The 2018 Act set out insurance and liability, and the Automated Vehicles Act 2024 builds the permanent framework, due to be complete by 2027. The Department for Transport formally grants the permit. The DVSA runs most of the process, the VCA assesses the vehicle and its software, and Transport for London holds local consent.

Next is the route a company actually takes. Waymo, Wayve and Apollo Go test in London without any trial permit, guided only by a non-statutory code of practice. Wayve and Uber carry passengers today on three ordinary private hire licences, so legally the service is no different from a standard Uber ride. Taking the driver out needs an automated passenger services (APS) permit and a safety case.

Then it gets political. TfL has six weeks to respond to a proposed service, and if it stays silent, that counts as consent. Applications opened in May, but TfL says it has received none for London, and it has not published any consent guidance. Daniel Abreu Marques asks Tym why nobody has applied yet, whether TfL could delay driverless services almost indefinitely, and how much time operators should really add to their plans.

It ends with Tym's on-the-record prediction for London's first driverless permit: which operator, how many cars, and which part of the city.

TIMESTAMPS

0:00 - London's first robotaxi service still has a driver

1:13 - Why a newsletter wasn't enough: founding IFDT

5:11 - Why permits matter as much as the software

7:14 - Supervised vs. driverless under UK law

8:23 - Two laws: the 2018 and 2024 Acts

10:42 - Who does what: DfT, DVSA, VCA and TfL

13:27 - What fast-tracking the pilot scheme changed

15:39 - Testing in London without a trial permit

18:06 - What goes into a safety case, and who reads it

20:15 - The vehicle special order

22:52 - How Wayve and Uber carry passengers today

26:44 - Uber operates, Wayve drives: why the split matters

28:11 - The APS permit, and why DVSA issues it, not TfL

31:11 - Remote assistance and the legal meaning of self-driving

33:41 - Operational design domain vs. permit area

36:13 - From application to permit, and TfL's six-week clock

39:45 - Why TfL has received zero applications

41:37 - No consent guidance: the practical effect

43:56 - DfT vs. TfL: real tension or working as designed?

45:17 - Prediction: London's first driverless permit

LINKS

Tym's Substack: https://substack.com/@tympj

The AV Market Strategist (my newsletter) - https://avmarketstrategist.substack.com

#Robotaxi #AutonomousDriving #London #TransportPolicy #AutonomyInsiders

beti is a French operator of automated mobility networks, and a spin-off from Bertolami, a family coach business that has moved people around rural France for 75 years. CEO Benjamin Baudet explains the layer of the autonomous driving industry nobody photographs: the people and software that keep a driverless bus service running once the driver is gone.

Before beti existed, the family studied its own routes and asked a simple question — if the driver is no longer on board, who does everything else? They counted 421 daily tasks that had nothing to do with driving. Autonomous driving technology replaces the driving task. It does not replace the operator. That finding became the company.

What beti sells is people and software: field teams trained to deploy someone else's autonomy, plus two in-house platforms — OperaVision for the ground crew and HyperVision for remote monitoring.

The conversation gets into the fleet operations numbers this layer rarely publishes: four vehicles per hypervisor on two-hour rotations, roughly 20% of operating effort spent on cleaning, charging, depot work and roadside recovery, and around 30% lower operating cost than a service with a driver — but only above eight hours a day and seven days a week.

In October 2024 beti flew to Guangzhou to argue it was the right size of European partner. Four months later the Valence TGV robobus line launched with WeRide and Renault. Adapting a robobus designed for the Chinese market took a year of closing gaps on language, interfaces and data protocols.

Plus: how French driverless permits came through in three months, why Keolis, Transdev and RATP are customers rather than competitors, how beti is preparing for robotaxi and goods transport alongside public transport, and the 2030 target Benjamin uses to measure success.

This show is the interview half. The analysis lands every Monday in the newsletter. Free: https://avmarketstrategist.substack.com/?utm_source=youtube&utm_medium=description&utm_campaign=ep27

TIMESTAMPS

0:00 - open: the gap in the leading pack is narrowing

0:59 - The service layer nobody photographs

1:53 - What beti actually sells

2:24 - Why a family coach operator started an autonomy company

3:32 - The 421 tasks that are not driving

5:01 - What transfers from a 75-year-old bus business

6:00 - The turnkey offer: people plus two software platforms

7:37 - Hypervision vs. teleoperation, and who owns the driving

8:52 - Why the control room sits in the same country

9:16 - Training customers to not need you

10:16 - What operators underestimate

11:12 - Four layers, and the two beti refuses to enter

12:13 - How many vehicles one hypervisor can handle

13:38 - What caps the ratio: human attention

14:18 - The ground crew: 20% of operating effort

14:54 - What stops WeRide or Renault building this themselves

15:55 - Valence 2025: how the WeRide deal came together

17:00 - Why that route, and the riders who became ambassadors

18:59 - Driverless permits in three months

19:59 - Rebuilding a Chinese robobus for Europe

22:02 - Navya, EasyMile, WeRide: a 20-criteria operator framework

23:31 - Roland-Garros 2026: a 100% beti operation

25:00 - Who the customer is, and who writes the cheque

26:11 - 30% below a driven service, with conditions

27:18 - When your supplier goes under

28:58 - Keolis, Transdev, RATP: customers, not competitors

30:13 - The 2030 target: 2,000 hypervision licences

When a robotaxi drops below its charge threshold, it leaves the zone it is earning in, drives three to five miles to a depot, queues, gets serviced, and drives back. In San Francisco, a compact city with unusually good infrastructure, that is roughly two hours out of service, and it happens several times a day. The driving stack is fully autonomous. Everything around it is still humans, real estate and deadhead miles.

Aseon's answer is a six-metre box that occupies one charging bay, holds two six-axis robotic arms, and completes a reset in twenty to thirty minutes: inspection, charge, interior clean, item retrieval, data sync and reboot. George is unusually direct about what version one does not do. No exterior wash. No sensor detailing. Anything genuinely unpleasant goes back to the depot.

Daniel Abreu Marques presses on the parts that decide whether this is a business or a demo: why Aseon operates a network instead of selling boxes, how the project-company and asset-backed financing model is designed to pull AV operators into owning part of their own infrastructure, and why a pod needs only about five resets a day — roughly 10% utilisation — to break even.

The wider argument is the one this show keeps returning to. If more than half the cost of a robotaxi service sits in infrastructure and operations rather than in the driver, then autonomy economics are settled off the road, not on it. And once cities start tendering licences with a cap on vehicle numbers, "drive somewhere cheaper to charge" stops being a strategy.

As George puts it: the infrastructure has to meet the vehicle, not the vehicle be taken to the infrastructure just because it drives itself.

Plus: what four years at Tier taught him about who you can actually incentivise, why Europe's density makes it the natural market for this product, and why he is building the company in California anyway.

TIMESTAMPS

0:49 - Introduction
1:26 - What Aseon is, and what an operator actually buys
1:52 - Inside the box: one bay, two robotic arms
2:41 - A 20-30 minute reset, bounded by charge rate
3:29 - What it replaces: two hours out of service, several times a day 4:50 - What they found inside real AV depots
5:31 - A third of the fleet offline at any given time
6:44 - Four years at Tier, and who you can actually incentivise
7:50 - Which jobs version one does, and which it refuses
9:47 - Interior resets: the 90% a robot can close out
10:55 - Getting power into a dense-city parking bay
12:00 - One pod, many platforms: ID Buzz down to Cybercab
13:55 - Orchestration: no queuing, just-in-time only
14:51 - When the pod fails with a vehicle inside
15:52 - Why Aseon runs a network instead of selling boxes
18:07 - How operators pay, and what makes it bankable
19:08 - Five resets a day: the utilisation math
21:02 - Where the $10M goes, and what 2027 has to prove
21:38 - $50M a metro: from venture equity to asset-backed debt
22:48 - Movable, permittable, live in eight weeks
23:55 - Lyft, Avis, Move: why route into a third-party network
25:20 - What stays in-house
26:14 - Are AV depots the new data centres?
27:39 - Is the cost really decided off the road?
28:55 - Curb space, cities and the traffic externality
30:53 - Europe: why build in the US, and when Aseon arrives here
32:52 - The one metric for the next twelve months

Getting a vehicle type approved in Europe is one problem. Getting a driverless service running on a specific street, with a control room behind it and a city that has to agree, is a completely different one. France solved the second problem by writing its rules into the transport code rather than vehicle law, and handing the job to the national technical service that already oversaw metros and tramways.

That inheritance shapes everything. The system is assessed as a whole, not as a vehicle: six domains covering onboard safety, connectivity and positioning, cybersecurity, road infrastructure, vehicle behaviour and operations, plus a seventh that consolidates them into a single verdict. Three sequential dossiers carry a project from generic capability to a specific route. And the safety bar is inherited from rail: globally at least as safe as the service being replaced, measured against national statistics rather than one bus route.

Aryldo explains what happens when an operator calls, what counts as evidence, and why a million kilometres of driving proves less than teams expect. We also cover why the law refuses to name a vehicle-to-operator ratio for remote supervision, whether French cybersecurity rules duplicate UN R155, how you assess an end-to-end driving system you cannot decompose, where the seam sits between EU type approval and national authorisation, whether Brussels should use the French model as its template, and whether Europe's assurance layer is a safety asset or a competitive handicap against Waymo and Chinese operators.

Plus the number nobody publishes: roughly what the whole safety demonstration costs as a share of the project.

TIMESTAMPS

0:00 - Type approval is one problem. Running a service is another
1:09 - The French technical service, and its metro and tram origins
2:46 - What rail engineers see that automotive teams miss
3:45 - What actually happens when a project calls you
5:19 - The seven domains of the assessment
6:56 - Independence: assessor and engineering support at once
8:29 - What counts as an automated road transport system
9:35 - Built through the transport code, not vehicle law
10:46 - The remote intervener and the service organiser
12:02 - Predefined routes, zones, and whether Paris fits
13:36 - GAME: at least as safe as what it replaces
14:54 - National statistics, or one specific route
15:26 - Who signs: the operator, the mayor, the assessor
16:23 - Three dossiers: DCST, DPS, final safety case
19:17 - When to call an assessor, and the cost of calling late
20:45 - Remote supervision: why the law names no number
22:10 - Do remote operators have to sit in France
22:47 - French cybersecurity rules vs. UN R155
24:17 - Why a million kilometres proves very little
26:49 - Traceability when behaviour comes from data
28:26 - The seam between EU type approval and French rules
29:51 - Should Brussels use the French model
31:07 - What changes when it is a truck, not a shuttle
32:14 - How long it takes and what it costs
33:26 - Waymo, China, and whether assurance is a handicap
34:36 - The one thing he would change

LINKS

The AV Market Strategist (my weekly AV analysis) - https://avmarketstrategist.substack.com

Aryldo on LinkedIn: https://www.linkedin.com/in/aryldogrussojr/

#AutonomousDriving #Robotaxi #DriverlessVehicles #MobilityPolicy #AutonomyInsiders

Most robotaxi conversations cover one city, maybe one country. Tony Han runs a company that has tested or operated in more than 60 cities across 13 countries and holds autonomous driving permits in eight of them. Daniel Abreu Marques sits down with the co-founder and CEO of WeRide — the Nasdaq and Hong Kong dual-listed operator behind robotaxis, robobuses, robovans, robosweepers and a fast-growing ADAS business — to get specific about the numbers.

This is a conversation about business models, not demos. Where each product line makes money, how deployment decisions actually get made, what regional break-even means in practice, and why Tony believes almost none of his L2 competitors qualify as robotaxi companies at all.

You'll discover:

• Where WeRide is at or near break-even today, and why Europe's higher taxi fares change the math from day one
• How the three-way Abu Dhabi structure works, and who actually decides how many vehicles run on a given day
• What happened to rider behavior after Uber launched a dedicated autonomous category — and why the surprise wasn't what you'd expect
• Why more than 80% of last quarter's new vehicles went to robotaxis rather than the other four product lines
• The "qualification process" Tony proposed a year ago, and why he argues no L2 competitor has passed the reverse version of it
• Why WeRide refuses to build robotrucks or mining trucks despite the obvious adjacency
• How WeRide selects European launch cities — population, taxi density, regulator openness, and one factor most operators ignore entirely
• Why he calls the L4-to-L2 move a "projection" and the L2-to-L4 climb a "lifting" problem

Tony also gets into the parts of the story that rarely make the earnings call: the sabbatical that turned into a Baidu AI Lab role, why he left a tenured professorship for a company with no business plan, what Taoism and Bertrand Russell have to do with building autonomous systems, and why a live connection hiccup during the recording turned out to be the best possible illustration of the physical AI reliability problem.

For anyone tracking where autonomy goes next — from the Middle East build-out to Spain, Slovakia, Denmark and the open question of Germany — this is the operating picture behind the headlines.

Timestamps

0:56 - Introduction
1:58 - Leaving a tenured professorship
2:15 - Baidu AI Lab, Andrew Ng, and an unexpected desk mate
6:36 - What philosophy has to do with autonomous driving
9:05 - Five product lines, five business models
15:15 - Why WeRide won't build robotrucks
17:52 - Inside the 3,400-vehicle fleet
18:46 - How WeRide decides what gets deployed where
21:19 - Who owns the vehicles: asset-light vs. own fleet
22:32 - The Middle East doubled in one quarter
23:13 - Abu Dhabi: how the Uber partnership actually works
24:50 - What changed when riders could choose a robotaxi
26:48 - Business class at taxi prices
28:44 - Europe: Spain, Slovakia, Denmark and what comes next
30:26 - How WeRide picks a European city
32:44 - Germany, Wittgenstein and a robotaxi in Stuttgart
34:01 - Unit economics: where WeRide breaks even
36:22 - Physical AI vs. digital AI
39:03 - L4 to L2: projection, lifting and the qualification test
42:45 - What separates the long-term winners
44:31 - Closing: a live lesson in reliability

If you think autonomy is just about removing people, this conversation flips that script. Daniel Abreu Marques sits down with Nick Allen, Head of Autonomous Vehicle Mobility and Logistics Solution at TaskUs, to unpack why the most successful AV operators are building human support into the stack from day one, not bolting it on after launch.

You'll discover:

• Why the best AV fleets treat humans as the "central nervous system" of the operation
• How remote assistance differs from remote driving, and why that distinction matters for safety and scale
• The cost math behind human-in-the-loop operations, including how teams can shrink cost per mile by 30% to 50%
• What a healthy vehicle-to-operator ratio looks like in commercial AV today, and why it changes by city, weather, and ODD
• How edge cases, emergency response, and rider support actually work in the first 60 seconds of a real incident
• Why Europe's regulatory patchwork is creating both friction and opportunity for AV expansion
  

Nick also breaks down the less visible but essential parts of the job: high-fidelity sensor labeling, scenario reconstruction, fleet management, training and recertification, resiliency support for operators, and the hybrid model TaskUs uses across customer sites and its own facilities.

We also get a look at the next wave. From Manchester to the broader UK and Europe, Nick explains why localization, GDPR, and country-by-country compliance are reshaping deployment strategy, and why AV is becoming a direct on-ramp to robotics and humanoid systems.

Find Nick here: https://www.linkedin.com/in/nicholasjallen/
TaskUs here: https://www.taskus.com/services/autonomous-vehicle-operations/

Timestamps:

01:39 TaskUs in the AV Ecosystem: From Data Annotation to Operations Coordination

03:30 Why Autonomous Vehicles Still Need Human Support

04:18 Cost per Mile and the Right Operator-to-Vehicle Ratio

05:30 When AV Companies Should Bring in Operational Support

06:36 Data Annotation and Training for Complex Edge Cases

07:47 Remote Assistance Explained: How the Command Center Works

09:01 Remote Driving vs. Remote Assistance

10:41 Latency, Safety, and Commercial Operator Ratios

13:09 Training and Qualification for Remote Assistance Teams

14:15 Own Sites or Customer-Side Operations?

15:21 Edge Cases and Emergency Response on the Road

17:47 Training, Compliance, and “Learning as a Service”

19:21 Business Models, Customers, and the Path to Commercialization

21:26 The Biggest Challenges in Scaling Autonomous Mobility

23:10 Global Teams, Quality, and Resilience in AV Operations

28:29 TaskUs’ Europe Strategy and Market Entry

31:40 Localization, Regulation, and Data Privacy in Europe

35:09 The Future of Human-in-the-Loop and Robotics

38:32 Closing

#AutonomousDriving #Robotaxi #AutonomousVehicles #RemoteAssistance #FleetOperations #AutonomyInsiders

Safety is an engineering problem, and engineering problems eventually get solved. Pickup and drop-off is not. It is a spatial management problem, and every robotaxi competes for a fixed resource at the curb against every other vehicle in the city. Which produces the prediction at the center of this conversation: as the industry scales, it will get safer and more congested at the same time.

A fleet of 1,000 robotaxis generates roughly 25 million pickup, drop-off and staging events per year. Even a small failure rate becomes a million annual opportunities for a blocked bike lane, a blocked bus lane or a blocked fire truck. We cover what actually goes wrong at the curb, why better AI cannot fix a conflict that is fundamentally social, why five vehicles at one address can break a street, and what happens when three competing fleets surge to the same stadium curb with no coordination layer.

We also get into how Pudocity's Curb Reserver works, who licenses it, who pays and who owns the data, why Bern drafts the ISO standards and builds the product at the same time, and the part that matters most for Europe: US states have preempted their own cities out of curb management, EU urban density is three to four times higher, and the window to write one clause into deployment permits is open right now.

TIMESTAMPS

0:00 - Safer and more congested at the same time
0:55 - Nobody is debating the last ten meters
1:52 - The claim: the Achilles heel is not the AI
3:40 - But Waymo does hundreds of thousands of rides a week
5:11 - Why AI cannot replicate human improvisation at the curb
6:19 - Hard problem, or just an unglamorous one
8:16 - What actually goes wrong at the curb today
10:04 - When annoyance becomes a systemic problem
11:09 - Vans, buses, bikes: new problem or exposed problem
12:43 - Accessibility, and why it is also a commercial issue
14:05 - Public space for private fleets: reservation is not ownership 15:32 - Three fleets, one stadium, no coordination layer
17:04 - Inside Pudocity: how the Curb Reserver works
18:33 - Why the orchestration layer has to be independent
19:56 - Who actually pays for it
21:06 - Beyond robotaxis: goods, charging, staging, personal AVs
23:11 - Selling to cities vs. operators, and the biggest surprise
25:13 - The moat: patents, standards, network effects
26:41 - ISO 4448 and ISO 25614 without the jargon
29:24 - Why standards, not lobbying, are the leverage point
30:33 - Do standards freeze immature technology too early
31:59 - Inside the WEF Global Future Council on Autonomous Systems 34:13 - Is the curb problem worse in Barcelona than in Phoenix
35:45 - The one clause every transport minister should write into permits
39:02 - Who should own the curb data
39:58 - The AV belief Bern says is simply wrong
41:42 - Next steps for operators, cities and investors
43:48 - Closing thoughts

LINKS

The AV Market Strategist (newsletter) - https://avmarketstrategist.substack.com

Most AV coverage tracks the technology, the funding rounds and the deployment maps. This conversation covers the layer underneath all of it: whether the European public and European policymakers are anywhere near ready for what is being built. Guido Di Pasquale runs PAVE Europe, the nonprofit coalition Partners for Automated Vehicle Education, whose members span AV developers, insurers, certification bodies, public transport operators and public authorities. He has spent more than a decade inside the European debate on autonomous mobility.

We get into the uncomfortable structural questions first: how a coalition funded by the industry stays a neutral educator, and why PAVE Europe's founding mix of insurers and testing organizations, rather than carmakers, tells you something real about how Europe approaches autonomy. From there we cover what the survey data actually says about European trust, why the European concern is governance and jobs rather than crash safety, and the chicken and egg problem of building trust in a continent with almost nothing to try.

We also cover accessibility as a design requirement rather than an afterthought, why Europe's collaboration framework is a genuine and defensible edge, what Europe is really missing beyond capital, whether Europe should restrict Chinese AV players the way Washington has, and what a realistic 2030 looks like

TIMESTAMPS

0:00 - Why public readiness is the AV story that gets no airtime
0:30 - What PAVE Europe is, and what it deliberately is not
2:20 - The neutrality question: the members pay the bills
3:58 - What "education" actually looks like month to month
6:52 - Why PAVE Europe was founded by insurers and TÜV, not carmakers
8:26 - Policymakers now, citizens later: where the energy goes
10:36 - The study visit that changed a national regulation
12:51 - What Europeans actually fear, and what they get wrong
15:45 - The chicken and egg problem: trust requires trying
17:46 - Accessibility: repairing the mistakes of the old mobility system 20:43 - Is European acceptance uniform? Exposure vs. acceptance 22:28 - Europe's real and defensible edge
24:14 - The single biggest thing Europe is missing
26:16 - The talent Europe educates and then exports
26:47 - Regulate first vs. deploy first: strength or excuse?
28:31 - What Europe can learn from China, and what it cannot copy 30:01 - Should Europe restrict Chinese AV players?
32:09 - Setting standards instead of building walls
32:52 - Europe in 2030: what meaningful deployment looks like
35:09 - The missing players: where are the OEMs and Tier 1s?
35:23 - Closing thoughts

Connect

• Newsletter: https://avmarketstrategist.substack.com
• LinkedIn: https://www.linkedin.com/in/daniel-abreu-marques-/
  

In Episode 19 of Autonomy Insiders, I sit down with Stefanie Berliner, who leads the DACH business at Holo, and Anders Toft, who runs operations. Holo operates autonomous vehicles for Ruter in Oslo and enables operators to run autonomous mobility services across Europe.

We map who actually does what in a real AV deployment, and why the permit holder, a role most people have never heard of, carries the liability when something goes wrong. Anders walks through the first minutes after an incident, including the critical call between a local issue and a global one that grounds the entire fleet. Stefanie explains why the industry has shifted from proving technology to proving operational scalability, and why cities asking for "just one showcase vehicle" are getting turned away.

We also get into the metrics that matter: why autonomy per road type is more honest than autonomy per kilometer, why remote assistance decisions need to happen within two to five seconds, and what a financially viable operator-to-vehicle ratio looks like.

Topics covered:

• The shift from proving technology to proving operational scalability
• Who does what in a deployment: permit holder, operator, PTA, OEM, software provider
• Why the permit holder, not the vehicle maker, is liable when something goes wrong
• Incident management: root cause analysis, local vs. global issues, grounding the fleet
• What regulators in Norway and Switzerland actually require, and how differently they work
• Why autonomy per road type reveals what total mileage hides
• Remote assistance thresholds and operator-to-vehicle ratios
• How operational experience transfers between platforms and compresses deployment timelines
• What operators must build before Level 4 arrives in Europe
  
  Timestamps:
  00:00 Intro
  01:40 What Holo Does & Where It Sits in the AV Ecosystem
  02:27 Current Deployments: From Pilots to Passenger Operations
  03:40 Why the Car Is the Easy Part: Proving Operational Scalability
  06:39 What Organizations Underestimate Before a Project Starts
  08:21 The Gap Between a Pilot and Continuous Public Service
  09:55 "We Want AVs Next Year": What Cities Must Bring to the Table
  11:30 Who Does What: Mapping the Players in a Real Deployment
  14:21 Contracts, Liability Split & the Vehicle "Black Box"
  15:37 Where Dependencies Create the Most Operational Risk
  17:11 When Something Goes Wrong: Root Cause & Owning the Answer
  19:01 The Permit Holder Explained & the Setup With Ruter
  21:46 What Regulators Want to See: Norway vs. Switzerland, Data & Traceability
  27:51 Safety as an Organizational Task, Not Just a Technical One
  30:23 Inside an AV Safety Management System
  31:56 The First Minutes After an Incident: Local vs. Global
  34:38 Autonomy per Road Type: Why the Simple Number Misleads
  37:39 Metrics of a Maturing Deployment vs. Just Accumulating Miles
  39:09 Remote Assistance: Thresholds & the Operator-to-Vehicle Ratio
  41:59 SLAs When Software Behavior Changes Every Month
  44:26 Edge Cases: How Rare Events in One City Improve Another
  46:08 Where Operators and Tech Providers Misunderstand Each Other
  47:59 What 10,000+ Hours on Mobileye Transferred to MOIA
  52:05 The Operator's Role as EU Regulation Matures
  54:15 Wrap-Up

The EU's Level 4 regulation (2022/1426) has existed for four years. As of today, not a single vehicle holds EU type approval under it. The common narrative blames slow regulation. My guest tells a different story: the framework is ready, the technical services are ready, and the real bottleneck sits inside the companies themselves.

Dirk Fratzke is Project Leader in the Autonomous Driving & ADAS department at TÜV SÜD, the independent testing organization that assesses AV companies across three continents, from Waymo and Aurora in the US to projects across Europe and Asia. He led TÜV SÜD's involvement in the EVA shuttle project in Karlsruhe, one of Germany's first SAE Level 4 deployments in public transport, and has co-authored academic research on systematically testing autonomous driving functions.

In this episode, we cover:

• What homologation and type approval actually mean, and how Europe's independent assessment model differs from US self-certification
  
• The two-step approval process for Level 4: EU type approval for the product, then operating area approval from the "owner of the road"
  
• Why the 1,400-unit small series cap is a benefit for AV companies, not a showstopper
  
• What is really delaying Europe's first Level 4 approval, and why Dirk says "maybe one year, maybe two"
  
• Why Mobileye's completed functional safety management assessment matters as a milestone
  
• Whether end-to-end AI systems can pass European certification at all
  
• Why Pony.ai, WeRide, and Momenta are entering Europe
  
• How TÜV SÜD approved shuttles without steering wheels by arguing from the regulatory framework for horse-drawn coaches
  
• The newly adopted UN global regulation for driverless vehicles, and the alcohol interlock absurdity that shows why updates were overdue
  

Whether you build, operate, insure, or invest in autonomous vehicles, this episode explains the process that decides who gets to deploy in Europe and when.

Timestamps:

00:00 – Cold open: why AVs need an independent set of eyes
01:18 – Intro: certification, type approval, homologation
03:07 – Dirk's path: from car mechanic to TÜV SÜD
04:48 – Why a 160-year-old testing org jumped into autonomous driving
06:19 – What a "technical service" actually does
07:22 – Team size and how demand has shifted
09:24 – Homologation vs type approval vs US self-certification
11:10 – Level 3 vs Level 4: two separate regulatory tracks
14:00 – How UNECE regulation becomes binding law
17:05 – The EVA shuttle project in Karlsruhe (and Bad Birnbach first) 19:05 – Approving a vehicle with no steering wheel
21:09 – The two-step EU approval process (2022/1426)
23:30 – Operating area approval: the "owner of the road"
25:11 – Zero Level 4 approvals: what's really blocking it
27:32 – Vertical integration vs partnership: who applies?
30:21 – How long approval realistically takes
32:43 – The 1,400-unit small series cap, and why it's a benefit
35:12 – Why US and Chinese companies come to TÜV SÜD
36:46 – Waymo, self-certification, and the four-eye principle
39:15 – Chinese AV companies entering Europe: the Level 3 play
41:42 – Can end-to-end AI pass European certification?
44:16 – The new UN global regulation for driverless vehicles
47:00 – When can a passenger hail a driverless AV in Europe?
49:00 – The one thing Dirk would change tomorrow

Igal Raichelgauz, founder and CEO of Autobrains, argues that approach hits a wall on edge cases and compute cost.

His alternative is "agentic AI." Driving is broken into a large but finite set of specialized agents, each an expert in a specific situation, invoked by an orchestrator in real time. Autobrains claims this runs on roughly an order of magnitude less compute, needs almost no labeling, stays vision-only, and skips HD maps.

We recorded just after Autobrains' two announcements at NVIDIA GTC Taipei: a Munich robotaxi program with Uber on NVIDIA DRIVE Hyperion, and a Level 4 robotaxi platform with VinFast for Southeast Asia's high-density traffic. We get into why Munich is a deliberate choice, what "OEM-agnostic" actually buys an automaker, and how an investor list that doubles as a customer list (BMW, Toyota, Continental, VinFast, Magna, Knorr-Bremse) shapes the company.

Timestamps:

• (01:30) What Autobrains does, and the problem of bringing autonomy to 1.5 billion cars
• (02:10) Agentic AI in one sentence, and why specialization beats one big model
• (05:04) Why Igal thinks the end-to-end consensus is wrong
• (07:16) Edge cases: school buses, pedestrian intent, a kid chasing a ball
• (08:19) The claim of ~10x less compute and near-zero labeling, and how to prove it to a skeptical OEM
• (09:31) Traceability and explainability for regulators through modularity
• (11:06) The business model: mass-production ADAS, robotaxi, and air-to-road redundancy
• (13:40) Software-only, chip-agnostic, vision-first, and what that trade-off costs
• (16:12) The investor list that doubles as the customer list
• (18:40) The Munich robotaxi program with Uber and NVIDIA, and what OEM-agnostic means
• (24:05) The VinFast deal for Southeast Asia
• (29:09) Why start in Munich, one of Europe's hardest cities
• (30:51) Is Europe really behind the US and China?
• (31:36) The regulatory path from pilot to paid service, and the 50,000-hour intervention target
• (33:28) A 5-year European robotaxi outlook
• (34:34) The eyes-off / Level 3 debate and why planned handover matters

LINKS

My free weekly Newsletter: https://avmarketstrategist.substack.com/

My LinkedIn feel free to connect: https://www.linkedin.com/in/daniel-abreu-marques-/

Dr. Clare Mutzenich on the human factors inside the autonomous vehicle almost no one is designing for.

Most coverage of autonomous driving is about the driving. This conversation is about everything else — what happens inside the cabin of an empty robotaxi when something goes wrong, and who's in charge when there's no driver to turn to. Dr. Clare Mutzenich is Professor of Human and AI Interaction at Loughborough University and founder of Anthrometric, an independent human factors and behavioral science consultancy. She's spent a decade studying self-driving safety, remote operations, and how real people actually behave inside these vehicles.

We get into the many layers of passenger trust, why the human driver was doing far more emotional and social work than we credit, and what her 91-person VR emergency study revealed — including the finding that nearly everyone, across every demographic, wanted the same thing: a button to a human.

We also cover accessibility when the interface becomes an AI, the realistic limit on how many vehicles one remote operator can supervise, the UK's Automated Vehicles Act 2024, and why Europe's slower, more cautious approach might be an advantage rather than a handicap.

Recorded as the UK prepares for its first driverless taxi services — so the timing matters.

TIMESTAMPS

0:00 - The trust problem the industry is underpricing

1:05 - Intro: the passenger nobody puts on a keynote slide

2:16 - What a driverless vehicle actually owes its passengers

3:04 - Why the in-cabin experience is the risk operators are least ready for

3:56 - Unpacking trust: the layers, and over-trust / complacency

5:27 - Why the first 10,000 rides and the first 10 million are different products

7:32 - The trap of designing for novelty-seekers and early adopters

9:32 - The most common wrong assumption about first-time riders

11:54 - The hidden emotional and social work the driver used to do

13:41 - Simulator study: Level 3, "user in charge," and taking back control

19:42 - Shared rides: social norms when the referee disappears

21:53 - The 91-person VR emergency study — and what surprised her most

24:47 - Designing for children (ages 8–17) and cognitive impairment

26:44 - Who is in charge in an emergency with no driver?

28:42 - The tension between too little and too much intervention

30:10 - The commercial case for inclusive design from day one

31:53 - What accessibility means when the interface is an AI

33:07 - Genuine inclusive design vs. compliance theater

35:36 - The user group the industry is most blind to

36:16 - The human in the loop: what the public misunderstands about remote operators

37:23 - Operator-to-vehicle ratios and where situational awareness breaks down

39:43 - Is Europe's caution a disadvantage — or an advantage?

41:40 - Anthrometric: when human factors work arrives too late

42:45 - Who should take this most seriously, and the next frontier: women's safety

45:30 - Closing thoughts

LINKS

The AV Market Strategist (newsletter) - https://avmarketstrategist.substack.com

#AutonomousDriving #Robotaxi #SelfDrivingCars #HumanFactors #AutonomyInsiders

Daniel sits down with Luca Foresti, CEO and founder of Niulinx, a Politecnico di Milano spin-off that just raised 38 million euros, the largest autonomous driving round in Italy to date.

Instead of chasing a full robotaxi, Niulinx is building "Robosharing":

you call a car with an app, it drives to you autonomously at up to 30 km/h, you take the wheel and drive yourself, then it returns to the fleet. The bet is that this model trades billions in capex for a fraction of the cost in opex, and reaches European homologation faster.

In this episode:

• What Robosharing is and why it fits Europe's roads, regulation, and capital reality
• The regulatory-native approach to EU type approval and homologation
• The franchising business model and a single shared remote operations station
• Retrofitting the Fiat 500e and the case for L7 two-seater vehicles
• End-to-end AI versus a modular stack
• Why Europe lags on AV, the OEM incentive problem, and a 2030 outlook

TIMESTAMPS

0:00 - Intro: Why Europe has no AV champion

1:23 - From lab to company: the Politecnico di Milano spin-off

2:45 - Why Foresti left healthcare for autonomous driving

5:17 - 12 co-founders and a team averaging 27

6:37 - What Niulinx sells: "Robo Sharing" explained

10:08 - Is Robo Sharing a stepping stone to robotaxi?

12:04 - Make vs. buy: the in-house software stack

13:19 - Retrofitting the Fiat 500e — and watching L7 vehicles

16:29 - What "regulatory native" actually means

19:22 - End-to-end AI vs. the modular stack

22:32 - Keeping European talent in Europe

24:00 - Chinese players in Europe and the home-turf edge

25:41 - Geographic footprint: Italy, Germany, and beyond

27:22 - Where European AV regulation stands today

28:56 - Will Niulinx ever partner with a carmaker?

31:02 - The real cost of retrofitting a car

32:59 - The €38M raise — how far does it get you?

35:11 - How the capital is allocated

36:45 - Why Europe has no AV champion (the honest answer)

39:52 - Should Europe restrict Chinese virtual-driver companies?

41:46 - Autonomous mobility in Europe by 2030

44:02 - Does this technology threaten the OEM business model?

46:34 - Closing

LINKS

The AV Market Strategist (newsletter) - https://avmarketstrategist.substack.com

Autonomy Insiders on Spotify - https://open.spotify.com/show/7KilrHXFnMqafvtLMQDWXw

Autonomy Insiders on Apple Podcasts - https://podcasts.apple.com/de/podcast/autonomy-insiders/id1883492805

#AutonomousDriving #Robotaxi #Niulinx #AVIndustry #SelfDriving

Pierfrancesco Maran is trying to change that. He is the newly elected chair of the European Parliament's ENVI Committee, and before Brussels he spent thirteen years running mobility, urban planning and housing as a Milan city alderman. In December he hosted a Brussels conference on autonomous vehicles with more than 120 stakeholders from over 20 countries. He has called 2026 Europe's now-or-never moment on this technology.

In this episode, Daniel sits down with Maran to map where Europe actually stands, what it can still win, and what has to change in the next twelve months.

What we cover:

• Why the real barrier in Brussels is not opposition, it is the belief that AVs are a future problem, not a present one

• Why Maran argues Europe is not over-regulating AVs, it is renouncing them by failing to set rules at all

• The case for concentrating capital in three or four flagship projects instead of spreading it across 70

• Why Waymo started in London and skipped Paris, Berlin and Milan, and what that signals about the EU

• Chinese technology already inside European deployments, from Switzerland to Zagreb, and whether the EU should restrict it

• The two structural limits of Regulation 2022/1426: the 1,500-vehicle cap per type per year and member-state control over operating areas

• The case for a European mobility agency to harmonize rules and pool AV data at EU level

• Why Europe's talent keeps leaving for the US, and why Maran calls it a capital problem first

• What Europe is still strong at

• His realistic picture of autonomous mobility in Europe by 2030

Timestamps:
00:00 - Introducing Pierfrancesco Maran on Europe’s AV ambition

02:20 - From Milan city leader to EU policy advocate for autonomous vehicles

04:26 - European competitiveness and why Europe risks falling behind

06:46 - Challenges in Brussels: resistance, regulatory hurdles, and geopolitical risks

08:14 - The strategic value of autonomy beyond operational benefits

11:38 - Europe’s innovation lag compared to US and China, and why regulation isn’t the barrier

13:29 - EU’s industrial plan and investment priorities for AVs

16:13 - Industry insights: Meeting with Waymo and geopolitical considerations

18:20 - The importance of local experimentation, sandboxes, and citizen involvement

20:45 - The critical need for harmonized standards and cross-border test beds

24:55 - Building on European strengths: automotive heritage, safety, and talent

28:26 - The rise of startups and software-driven vehicle models in Europe

31:14 - The regulatory limits on driverless vehicle deployment and future EU policy

34:10 - The vision for a harmonized, safe, and scalable autonomous mobility ecosystem by 2030

Daniel sits down with William, professor at the University of San Francisco and Director of the Autonomous Vehicles and the City Initiative, to challenge ten years of industry narrative. His thesis: AVs behave less like software and more like infrastructure. The hard part was never the driving stack. It's operations, integration, and the politics of the street.

Drawing on two of the only academic rider studies inside commercial Level 4 services (Cruise and Waymo), a UC Davis white paper on why curb management keeps failing, and a working paper on how autonomy actually scales, this conversation reframes what the industry has been getting wrong.

In this episode:

• Why AVs are infrastructure, not software, and why that distinction changes everything

• The data on who actually rides robotaxis

• Why riders don't choose AVs for safety, even though the industry sells safety

• Why operations, not AI, is the true bottleneck to scale

• The capital mismatch that broke the industry: venture money chasing infrastructure returns

• Why the curb is the most politically immovable problem in urban mobility

• The B2C vs. B2B vs. B2G shift, and why the consumer robotaxi app may be a losing position

• Whether the US venture model or the European government model wins
  
  00:00 - Introduction: Unlocking real-world insights in autonomous driving.

  00:14 - William Riggs’s background and unique perspective.

  00:32 - The True Challenge of Autonomous Mobility: Systems Integration & Political Economy.

  01:18 - The importance of fitting AVs into urban systems beyond software.

  02:02 - Unpacking the theory of how AVs scale through infrastructure, street, and money.

  02:32 - Why vehicle technology alone isn’t enough for successful scaling.

  03:52 - The role of institutions, city policies, and the vehicle-infrastructure relationship.

  04:40 - Vehicles as infrastructure components, not just software.

  05:16 - Rethinking venture capital’s focus: From core tech to systemic support.

  07:45 - Operations over AI: Why fleet management, maintenance, and edge-case handling matter most.

  09:18 - The misperception about safety and the real user motivations.

  11:21 - Demand and mode shift findings from studies with Cruise and Waymo.

  13:48 - The role of AVs in reducing car ownership and expanding transit.

  16:20 - How AVs serve underserved populations and fill transit gaps.

  21:36 - Induced demand versus latent demand in AV mobility.

  25:21 - Passenger safety perceptions and industry narratives.

  30:39 - The significance of the Waymo Transit Credit pilot and city collaboration.

  36:49 - Urban curb management’s political and infrastructural dimensions.

  42:37 - The curb as infrastructure and governance challenge.

  49:13 - The evolving capital landscape: From venture to private and public investment.

  53:35 - Market timing: Where the industry and government strategies are misaligned.

  59:23 - Scaling challenges: Integration, business models, and operational maturity.

  62:53 - European vs. American models: Hybrid approaches for durable autonomous ecosystems.

  64:49 - Critical decisions for 2026 and beyond: Infrastructure, regulation, and public-private roles.

  65:12 - Final thoughts: The future of trusted, scalable autonomous mobility

In this episode, recorded live at the Automated Mobility Summit in Zurich, Daniel sits down with Amin Amini, co-founder and CEO of Loxo, a Swiss company building a full Level 4 software stack for logistics and commercial vehicles.

They discuss why Loxo deliberately avoided robotaxis, how its asset-light per-vehicle licensing model works, and the two-component architecture (LoxoFuser and LoxoGuard) built to pass European type approval.

Amin also explains Loxo's virtual mapping approach as an alternative to expensive HD maps, the "meet and feed" middle-mile model running with Planzer in Bern.

Topics covered:

• Why light commercial vehicles are an overlooked AV opportunity in Europe
• Loxo's recurring-revenue, asset-light business model
• LoxoFuser and LoxoGuard: performance plus a certifiable safety layer
• Why end-to-end AI fits L2/L3 but not yet L4 type approval
• Virtual mapping vs HD maps and the impact on cost and scale
• The safety driver removal timeline and the KPIs behind it
• Multi-OEM strategy and eventual expansion beyond Europe
• Why Amini thinks Europe is closer than the narrative suggests

Timestamps:
00:00 - Welcome to Autonomy Insiders: Focus on autonomous logistics in Europe

02:17 - Why Loxo chose urban freight delivery over passenger AVs in Europe

03:52 - Company size, pilots, and market expansion in Switzerland and Germany

05:31 - Long-term vision: Europe and the US market ambitions

06:43 - Factory-installed vs retrofit solutions with OEM partners

08:55 - Vehicle platforms: Alpha, retrofit R1, VW ID BUZZ and the vehicle strategy

09:42 - Timeline for removing safety drivers and safety KPIs

11:30 - Distinguishing between different pilot projects and use cases

13:06 - Middle mile logistics: distances, challenges, and opportunities

15:01 - Revenue streams: licensing model for logistics companies

16:46 - The dual-component safety system: LOXOFuser and LOXOGuard explained

21:01 - Virtual mapping technology and its benefits over HD maps

23:13 - Driver shortages and the strategic advantage of autonomous delivery

25:07 - Loxo's five-year plan: becoming Europe's logistics AV provider

26:15 - OEM partnerships, multi-OEM approach, and importing European solutions

27:20 - Competitive landscape: European advantage amidst global entrants

29:19 - The European AV ecosystem: understanding and accelerating innovation

31:38 - Final message: efficiency, transparency, and an open invitation

A self-driving car cannot plug itself in. It cannot clean or inspect itself. Today, a human walks over and does it. At fleet scale, that single manual step breaks the economics.

In Episode 12 of Autonomy Insiders, Daniel sits down with Crijn Bouman, CEO and co-founder of Rocsys, the Dutch company building autonomous robotic charging systems for robotaxi and heavy-duty fleets. Rocsys runs across 30+ enterprise customers and is now moving from ports and logistics into the booming robotaxi market.

Crijn explains why charging, sets the rhythm of every depot, why all robotaxi fleets eventually become mixed fleets, and why that logic drove the M1, the world's first multi-bay hands-free charger.

A clear, no-hype look at the physical layer of autonomous mobility that most of the industry is still ignoring.

Timestamps:

00:00 - Welcome and episode overview: Why charging infrastructure is a bottleneck for autonomous mobility

00:17 - Crijn Bouman introduces Rocsys and its mission

01:19 - The problem with manual charging interfaces and the need for automation

02:02 - Rocsys’s robotics platform: hardware, AI, and integration with fleet management

03:16 - Why robotic charging is a must-have for scalable autonomous fleets

04:55 - The origins of Rocsys and the early robotaxi industry insights

06:14 - Broader applications beyond robotaxis: ports and logistics fleets

07:23 - Rocsys’s market traction and customer deployment milestones

08:27 - Introducing the Rocsys M1 multi-bay charging system and its engineering advantages

09:52 - The evolution from single to multi-bay systems: accommodating mixed fleet deployment

10:48 - Space efficiency and site design benefits for robotaxi hubs

12:23 - The economic impacts: operational savings and efficiency improvements

14:38 - Capital funding and growth plans with Series A extension

15:49 - The S2 heavy-duty fleet charging system and platform technology sharing

17:21 - The platform approach: software-defined infrastructure and long-term value

19:04 - Cost structure: ownership models and service-based charging fees

20:40 - Comparing autonomous vehicle fleets to aviation: strategic depot implications

22:37 - Long-term positioning and avoiding commoditization in the robotaxi industry

24:01 - Inside depot operations: tasks, efficiency, and automation impact

26:46 - Staffing ratios in manual vs automated depots

28:43 - Depot real estate as a strategic asset, especially in urban areas

30:34 - Rocsys’s consulting services for depot planning and automation integration

31:37 - Reliability and error rates: robotic vs human charging failures

33:26 - Layers of fallback and recovery for autonomous charging uptime

36:51 - The spectrum of robotic implementations: from humanoids to rail-based systems

38:12 - Europe’s deep tech scaling challenges and recent progress

40:15 - European fleet rollout speed, market dynamics, and competitive landscape

42:54 - Manufacturing and scaling hardware at Rocsys: challenges and strategies

44:38 - Grid load management and future revenue streams from charging optimization

46:09 - Future outlook: upcoming innovations and market opportunities

Waymo on Uber, where riders can only book a Waymo through the Uber app, exists in exactly two cities: Austin and Atlanta. Since those launches, Waymo has announced close to a dozen new markets. None with Uber. Nashville went to Lyft.

In this episode, Daniel Abreu Marques sits down with Harry Campbell, founder of The Driverless Digest and The Rideshare Guy, to unpack what's actually happening between Uber, Waymo, and Lyft. Harry has spent the last decade covering ride share from the driver's seat up and is now one of the sharpest analysts in the autonomy space.

Topics covered:

• Why Waymo on Uber likely won't expand beyond Austin and Atlanta

• How Waymo is eating into market share in San Francisco

• At what time the first cracks appeared in the relationship

• The signals hinting to an divorce of Uber and Waymo

• Why the Nashville Waymo-Lyft deal is more strategic than the headlines suggest

• Uber's pivot from asset-light to buying AV vehicles from Lucid and others

• Lyft's quiet repositioning via FlexDrive and what it actually delivers

• Uber's AV Policy White Paper

• What a clean Uber-Waymo breakup would look like, and the metrics to watch

Links to Harry's channels:

The Driverless Digest

The Rideshare Guy

Timestamps:

00:00 - Overview of Uber and Waymo’s current relationships and market strategy

02:48 - Evidence of the partnership shifting from alliance to transactional dynamics

06:42 - Key inflection points hinting at the partnership’s decline

09:06 - The importance of AVs in Uber’s investor relations and valuation

10:13 - Waymo’s market share gains in major cities like San Francisco and Los Angeles

12:35 - How Waymo is cannibalizing Uber and Lyft’s market share

14:52 - The strategic logic behind city-by-city expansion without Uber involvement

17:30 - Uber and Waymo’s competing interests in different markets

19:09 - Nashville’s hybrid model of AV booking through both apps

21:35 - The potential for Waymo to aggregate Uber and Lyft drivers on its platform

22:03 - Policy debates: New York City’s restrictive regulations and industry impact

24:47 - The effect of AVs on driver earnings and the future role of human drivers

27:41 - Uber’s white paper on policy challenges and their stance on AV deployment

30:50 - Uber’s vehicle ownership and investment patterns in AV companies

35:01 - The implications of Uber’s plan to buy vehicles directly from OEMs

39:50 - Possible triggers for a clean breakup between Uber and Waymo by market signals or events

42:34 - The 2031 industry landscape: scales, players, and technological trends

Chris explains why autonomous vehicles don't fit any traditional insurance silo. Auto policies are built around accidents, not cognitive decisions. Products liability rates risk by revenue, not mileage. Cyber liability wasn't designed for third-party bodily injury. He walks through how Apollo prices a risk with no decade-long loss history, why frequency is easy to model but severity is the real problem, and how US plaintiff lawyers and nuclear verdicts shape AV underwriting more than the technology itself.

The conversation also covers the new Uber AV Insurance Program (AVIP), launched with Apollo as risk taker and Marsh as broker, and how it covers Uber's entire AV partner ecosystem. Chris breaks down why the EU and UK regulatory structure makes Europe harder to insure than the US, how over-the-air software updates change underwriting assumptions, what the Swiss Re and Waymo study (88% fewer property damage claims, 92% fewer bodily injury claims) means for pricing, and why the AV insurance market will ultimately be smaller than today's auto insurance market

Timestamps:

00:00 - The intersection of autonomous vehicles and insurance — Why coverage is a prerequisite not a afterthought

02:25 - Neil Armstrong’s vision for insurance fostering innovation in mobility

03:13 - How sharing economy platforms revealed the limitations of traditional insurance silos

04:38 - Challenges faced by insurers when new tech models don’t fit existing policies

05:36 - Does AV need a new insurance framework or can existing models adapt?

06:06 - Why current auto policies fall short for autonomous vehicle risks

07:42 - Building tailored AV liability solutions that reflect unique risks

08:11 - Pricing AVs without decades of claims data — the approach of frequent client engagement

10:10 - Frequency vs Severity — How sensors and legal risks influence severity projections

11:27 - Legal challenges like nuclear verdicts and their impact on AV insurance risk

13:11 - The role of trust and regulation in scaling autonomous vehicle adoption

14:01 - Understanding Apollo Ibot’s competitive edge and why fewer insurers are active in AV

15:54 - Regional regulatory differences: US, UK, Europe, and their effect on underwriting

18:27 - The claim process in AV accidents — From sensors to settlement

21:01 - How Uber’s AVIP program simplifies and scales AV insurance coverage globally

24:25 - Who’s covered under the AVIP and how it manages complex AV ecosystems

25:28 - Expansion plans of AVIP across markets and the importance of a unified global approach

34:02 - Data-driven underwriting: The Swiss Re and Waymo study — Credibility and trust building

36:34 - Software updates and risk: How versioning impacts underwriting and reinsurance

38:53 - Can Chinese AV tech be insured in the US or Europe? Geopolitical factors at play

40:42 - Broader insurance coverage: other AV projects and different business models (Tesla, partnerships)

45:45 - Autonomous trucking: similarities, differences, and new risk profiles in freight

47:53 - Cyber risks and how AV insurance strategies include cyber liability

50:50 - Will the AV insurance market surpass traditional auto insurance? The expected size and shift

52:14 - The biggest change needed: Trust and proactive industry collaboration

54:24 - Closing thoughts: Insurance as both enabler and barrier for AV adoption

In Episode 9 of Autonomy Insiders, Daniel Abreu Marques sits down with John Parks, CEO of FlexDrive, to unpack how Lyft is quietly building the operational backbone for AV deployment at scale. FlexDrive runs 15,000 vehicles across 24 US locations with fewer than 200 people, which makes it the fifth or sixth largest rental car company in the US. It is now the fleet partner for Waymo's Nashville launch, the first where FlexDrive owns the depot.

The conversation goes deep on what fleet management actually means in the AV era. John walks through the three commercial models FlexDrive offers AV partners, from full vehicle ownership to pure demand generation. He details the Nashville Depot's 80,000 square foot footprint, its 40+ charging stalls, and the roughly twelve months it took to build. He explains why half of the new Nashville hires are former Lyft drivers, and breaks down David Risher's claim that vertical integration delivers 20% additional cost efficiency per mile.

The second half turns to Europe. John discusses Lyft's 175 million euro acquisition of FreeNow, the Hamburg MOU for Level 4 deployment, and FlexDrive's role in operating Baidu's Apollo Go robotaxis in London next year.

For anyone trying to understand who keeps an autonomous fleet running once the software works, this is essential listening.

Timestamps:
00:00 - Introduction to Autonomy Insiders and guest John Parks
00:17 - Differentiating autonomous vehicles from consumer electronics
00:26 - Overview of Nashville Depot: structure and components
01:06 - The underestimated importance of FlexDrive in Lyft's autonomous strategy
01:34 - FlexDrive's operations, scale, and management of 15,000 vehicles
02:40 - FlexDrive's growth from a rental provider to autonomous fleet management
03:09 - The strategic rationale behind Lyft's acquisition of FlexDrive
04:37 - How FlexDrive manages its operations as part of Lyft's ecosystem
06:22 - Revenue model and responsibilities for vehicle ownership, maintenance, and charging
07:18 - Different models of AV fleet operation and partnerships (Waymo, Baidu, May Mobility)
08:55 - The competitive advantage of FlexDrive's integration with Lyft's marketplace
09:20 - Managing demand and supply in traditional vs. AV fleet operations
10:19 - Cost efficiencies driven by technology and automation, e.g., tire management
11:24 - Community and employment benefits: hiring former Lyft drivers
18:02 - Nashville AV depot specifics: size, infrastructure, and construction timeline
19:15 - Daily operations and shifts for AV vehicles in Nashville
20:47 - Incident response protocols for AVs in Nashville
25:14 - Expansion plans: International growth in Europe, London, Hamburg, and regulatory challenges
32:03 - Market pace and competition: FlexDrive vs. other fleet management partners
33:34 - Scaling from dozens to hundreds of AVs: infrastructure and organizational needs
36:16 - Building charging infrastructure and partnerships to support future growth
39:02 - Common misconceptions about AV fleet operations and industry realities
41:00 - Vision for FlexDrive in five years: global presence, safety, and ubiquity

That company is MOTOR Ai, and it is pursuing EU type approval with 20 million euros in seed funding.

In Episode 8 of Autonomy Insiders, Daniel sits down with Roy Uhlmann, CEO of MOTOR Ai to unpack what it actually takes to build a sovereign European AV company, why the EU's strict regulatory process is a moat rather than a drag, and why no company in the world (not even Waymo) has a type-approved Level 4 vehicle yet.

Topics covered:

• Why MOTOR Ai owns the full value chain: software, HD maps, drive-by-wire, and technical surveillance
• The modular vs. end-to-end architecture debate and why MOTOR Ai rejected generative AI approaches
• How EU type approval works and why regulators review your actual source code
• Why US AVs (including Waymo's) cannot legally operate in the EU without major rework
• What "technological sovereignty" really means for German critical infrastructure

Timestamps:

• 00:00 - Introduction to Autonomy Insiders and today's focus on European AV regulation and strategy
• 00:14 - Guest Roy Uhlmann introduces himself and MOTOR Ai’s mission
• 00:23 - The European approach to safety and regulation differs from the US
• 01:06 - Overview of MOTOR Ai’s full-stack Level 4 AV system
• 01:42 - Mobility service and fleet deployment model
• 02:13 - Regulation’s impact on product development in Europe
• 03:25 - Building hardware components and HD maps in-house
• 04:51 - Differences between OEM systems and mobility services
• 06:09 - Ownership models for autonomous vehicles
• 07:04 - The architectural stance: modular systems versus end-to-end neural networks
• 08:09 - Layered safety validation process
• 09:25 - Cost advantages of a modular approach
• 10:07 - Sensor stack and hardware selection
• 11:14 - Vehicle platforms tested (up to 6 meters)
• 12:06 - Cost components and scaling considerations
• 13:16 - European regulation’s strict safety and redundancy standards
• 14:10 - Challenges in German and European AV approvals
• 15:16 - Impact of AFGBV legislation and testing processes
• 16:50 - European standards as a competitive advantage
• 17:31 - Importance of safety-first approval processes
• 18:53 - The role of regulation in operational safety and liability
• 20:13 - Building systems tailored to EU market needs
• 21:11 - Collaboration with regulators and shaping standards
• 22:13 - What it means to be the only German Level 4 AV developer
• 23:02 - Building independence through in-house solutions
• 24:20 - Resilience and capital efficiency as strategic advantages
• 25:27 - Funding and growth plans
• 26:42 - Future roadmaps and type approval milestones
• 27:06 - The importance of sovereignty and local hardware/software control
• 28:13 - European market advantage and strategic autonomy
• 29:43 - Future vision: autonomous fleets and infrastructure
• 31:23 - Current deployment status and real-world testing environments
• 33:35 - Local challenges like lack of GPS and varied terrain
• 35:43 - Comparing progress with US giants like Waymo
• 36:54 - The importance of operational readiness in autonomous driving
• 38:18 - Vision for the next five years
• 39:49 - Closing remarks and future outlook

Resources & Links:

• LinkedIn
• Terawatt Infrastructure

Timestamps:
00:00 - Introduction to Autonomy Insiders and today's guest, Rainer Becker
01:00 - MOIA’s three-pillar "Turnkey Solution" - vehicle, platform, operator enablement
02:15 - Evolution from Hamburg’s ride pooling to autonomous fleet integration
03:45 - The significance of European type approval and homologation plans for 2027
04:50 - City partnerships: Oslo, Munich, LA, and Austin — setup and goals
05:55 - How MOIA’s approach differs from US/Chinese markets
07:15 - The importance of impactful projects to build public trust and accelerate adoption
08:30 - Vehicle hardware: factory-integrated sensors and VW ID Buzz AD
09:50 - The exclusive partnership with Mobileye for self-driving systems
11:00 - Regulatory challenges and the homologation process in Europe
12:20 - Lessons from pilot projects and the importance of large-scale impact
13:35 - US partnerships, especially with Uber, and the cross-learning process
14:55 - Criteria for selecting cities and local customization strategies
16:10 - Current fleet sizes and deployment scale across regions
17:20 - Safety driver removal timelines and testing edge cases in diverse environments
19:00 - Key technical hurdles before full safety driver removal
20:40 - The LA deployment with Uber and the vehicle management integration
22:00 - Partnering with public transportation: focus on impact and funding considerations
23:15 - Europe's innovation culture, risk aversion, and the potential for leapfrogging in AV tech
24:55 - Responses to Chinese competitors entering the European market
26:15 - Ride pooling optimization and customer acceptance thresholds
28:00 - Building public confidence: transparency, workshops, and safety statistics
30:25 - The role of public trials and demonstrating safety benefits
32:00 - The importance of rational, emotion-free communication to foster acceptance
33:45 - The European AV ecosystem: strengths, weaknesses, and strategies to catch up
36:20 - Impact of regulatory approaches and culture on innovation pace
38:15 - Concerns about international competitors and the importance of localized expertise
39:55 - Scaling impact through lighthouse projects and government-funded initiatives
45:00 - Proposal for Europe's accelerated adoption via impactful projects and policy support
46:30 - Final thoughts: the promising future for autonomous ride pooling in Europe and beyond

ABOUT AUTONOMY INSIDERS: Autonomy Insiders is the podcast where global industry leaders in autonomous driving unpack their real-world insights. Hosted by Daniel Abreu Marques.

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Martin walks through the real challenges of operating autonomous vehicles in Swiss conditions, including fog, snow, ice, and roads with few sensor reference points. He explains the timeline for removing safety drivers (target Q1 2027), the federal approval process with its staged safety milestones, and why the current 1:1 remote operator ratio makes a business case impossible for now.

They also discuss why a direct cost transfer from China to Switzerland doesn't work, how PostAuto handles data governance and cybersecurity with a Chinese partner, and why 90% of local residents responded positively before vehicles even hit the road.

Martin also shares his view on what Europe needs to move from pilots to real deployment, laying out four specific policy changes: reducing national fragmentation, stronger political commitment beyond experimentation, cross-border operations, and a harmonized type approval process.

Timestamps:

00:00 - Introduction to Autonomy Insiders and today's guest, Martin Neubauer 00:17 - Overview of PostAuto's role in Switzerland's mobility system 02:37 - Why autonomous driving matters for PostAuto 03:10 - Historical context of autonomous trials in Switzerland since 2016 04:33 - Challenges of driver shortages and operational costs in rural areas 05:08 - The strategic importance of autonomous mobility in low-demand regions 06:12 - The scope and goals of the AmiGo project with Baidu 07:03 - The technical validation process for Swiss conditions 08:41 - Potential fleet size and scaling considerations for AmiGo 09:42 - Partnership selection criteria for Baidu Apollo 12:00 - Vehicle adaptations for Swiss weather and road conditions 13:33 - Testing under snow, rain, and fog for safety validation 15:08 - Timeline and milestones for removing safety drivers 16:23 - Ownership and data control of autonomous vehicles 17:15 - Cost structures: China vs. Switzerland 18:42 - Regulatory approval journey and safety standards 22:54 - The approval process and stakeholder involvement 25:15 - European market readiness and safety culture 26:05 - Future scaling plans and local integration 27:20 - How autonomous shuttles complement existing transit 28:21 - Community outreach strategies for local support 30:00 - App integration and user experience 32:27 - Europe's path from pilots to deployment 33:09 - Regulatory harmonization and cross-border potential 35:16 - Depot infrastructure and operational logistics 36:23 - The future of around-the-clock autonomous service

ABOUT AUTONOMY INSIDERS: Autonomy Insiders is the podcast where global industry leaders in autonomous driving unpack their real-world insights. Hosted by Daniel Abreu Marques, focusing on the markets others overlook: Europe, China, and the Middle East.

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They cover: Switzerland's new ordinance on automated driving (Level 3 and Level 4), the three conditions for driverless vehicle deployment, why remote supervisors must be based in Switzerland, and how 33 autonomous vehicles have already been deployed across Swiss roads, with a target of 100 within two years.

Oliver walks through the key pilot projects, including PostAuto's partnership with Baidu Apollo (25 driverless vehicles), WeRide in the Zurich region, Loxo's validated middle-mile delivery model, and on-demand autonomous shuttles in Geneva. They also discuss why Chinese AV companies are choosing Switzerland, how data compliance works under Swiss GDPR, and why Oliver believes Europe is closer to AV readiness than most people think.

If you're in the AV space and near Switzerland, Daniel and Oliver will both be at the Automated Mobility Summit on May 4-5 in Zurich, the first European event with live driverless vehicle showcases.

Timestamps:

00:00 – Welcome to Autonomy Insiders: Exploring Swiss autonomous driving innovation
00:17 – Why autonomous mobility is crucial for Switzerland’s saturated transport system
01:06 – The evolution of Switzerland’s autonomous vehicle regulation and key legal pillars
02:10 – The role of SAAM in fostering autonomous vehicle projects and policymaker engagement
02:22 – Key pilot projects: From Navia shuttles to driverless logistics solutions
03:56 – Regulatory specifics of Switzerland’s ordinance: level three, driverless vehicles, and remote supervision
04:48 – How remote supervision in Switzerland enhances safety and jobs
05:41 – Collaborations, pilot projects, and the path to large-scale deployment
10:34 – Active pilot projects across Switzerland and their use-case diversity
13:04 – Business models behind autonomous shuttle and logistics solutions
15:22 – Autonomous buses, on-demand shuttles, and future urban mobility scenarios
18:17 – Transition from free pilot trials to commercial fare-based services
19:01 – Influence of Chinese AV players like Baidu and WeRide in Switzerland’s ecosystem
20:48 – Why Swiss regulatory and innovation landscape is attractive for international companies
23:20 – Data regulation, privacy, and GDPR compliance in Swiss autonomous vehicle projects
25:39 – Public transport operators’ perspectives and the job impact of AVs in Switzerland
29:14 – Europe’s AV ecosystem: current status, challenges, and the potential for harmonization
34:29 – The outlook for 2026: European milestones, new associations, and major events like the Zurich Summit
37:38 – Final thoughts: Building a collaborative autonomous mobility future in Europe

ABOUT AUTONOMY INSIDERS: Autonomy Insiders is the podcast where global industry leaders in autonomous driving unpack their real-world insights. Hosted by Daniel Abreu Marques, focusing on the markets others overlook: Europe, China, and the Middle East.

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In this episode, Martyn Briggs, Director at Bank of America Global Research, breaks down what "Physical AI" actually means, why $41 billion was invested in it last year, and what comes next.

We cover:

• World models and the shift from generative AI to physical AI
• Why vehicles are being redesigned as robotic platforms, not mechanical ones
• The 158+ active robotaxi deployments worldwide and the path to commercial scale
• How to value AV companies
• China vs. the US: two very different playbooks for scaling autonomy
• Why Uber, Lyft, and others are locking in AV supply through offtake deals
• Could AV fleets be financed like REITs?
• Humanoid robots entering automotive factories, and why OEMs could become producers, not just buyers
• The bottlenecks that could slow everything down: regulation, vehicle supply, public acceptance

Timestamps:

• 00:00 - Introduction to physical AI and autonomous driving
• 02:00 - Defining physical AI: perception, reasoning, action in the real world
• 04:00 - Technologies enabling physical AI: sensors, models, edge compute
• 06:00 - World models: what they are and their importance beyond GPT-like models
• 08:00 - Who leads in developing world models: startups vs. hyperscalers
• 10:00 - From software-defined to AI-defined vehicles: design implications for OEMs
• 12:00 - Supply chain and chip ecosystem shift towards centralized compute
• 14:00 - Cross-industry transfer: trucks, mining, agriculture, defense
• 16:00 - Commercial deployment pace of robo-taxis and delivery vehicles
• 18:00 - Valuations and investment metrics for AV companies
• 20:00 - Cost reduction trends in sensors, especially LiDAR
• 22:00 - China's rapid scaling of AVs and international geopolitical implications
• 24:00 - International expansion and regional regulatory differences
• 26:00 - Valuations: milestones and fleet economics
• 28:00 - Asset light vs. asset heavy models: pros and cons
• 30:00 - Private ownership and shared mobility convergence
• 32:00 - Financing, autonomy REITs, and infrastructure investments
• 34:00 - Broader applications: humanoid robots in factories and logistics
• 36:00 - Overlap between automotive and robotics supply chains
• 38:00 - Commercialization challenges: regulation, energy, consumer acceptance
• 40:00 - Future tech: simulation, synthetic data, accelerating deployment
• 45:00 - Key players in humanoid robotics and their strategic moves
• 48:00 - Cost trajectory for humanoid robots and industrial applications
• 50:00 - Business models: leasing, service, and integration strategies
• 52:00 - Critical constraints for autonomous driving: regulation, energy, public acceptance
• 55:00 - Major innovations to watch: simulation and synthetic data
• 56:00 - Final thoughts and upcoming innovations in physical AI
  
  ABOUT AUTONOMY INSIDERS: Autonomy Insiders is the podcast where global industry leaders in autonomous driving unpack their real-world insights. Hosted by Daniel Abreu Marques, focusing on the markets others overlook: Europe, China, and the Middle East.
  

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Augustin Friedel, Associated Partner at MHP and an expert in software-defined vehicles, advanced driver assistance systems, and AI-enabled mobility, exposes how industry giants like Tesla, Rivian, and Chinese OEMs are not just buying chips—they’re designing their own to unlock better performance, lower costs, and greater control.

But what does it really take to build a competitive chip program? And why are industry-wide collaboration and strategic control points the future of automotive silicon? In this episode, Augustin breaks down the complex landscape of chips powering tomorrow's vehicles.

You'll discover why high-performance systems on a chip (SoCs) are vital to processing the massive amounts of sensor data—LiDAR, radar, cameras—that autonomous vehicles rely on for real-time decision-making.

We delve into the competitive dynamics among global chip providers—Nvidia, Mobileye, Qualcomm—and how regional geopolitics shape the supply chain. Augustin reveals why automakers are increasingly pushing toward in-house chip development, with companies like Xpeng and Rivian seeking to reduce dependency on Western suppliers, while others form joint ventures to share the hefty R&D costs.

Why does chip scarcity shape strategic decisions? Augustin discusses the wake-up call from the recent semiconductor shortages and what it means for securing supply chains in an uncertain geopolitical climate. Plus, he explores the evolving role of Tier 1 suppliers, the ecosystem lock-ins created by software layers, and the choice OEMs face between vertical integration and modular solutions.

Get ready to understand the race for automotive silicon leadership—because in autonomous driving, chips aren’t just components, they’re the foundation of the future.

Timestamps

00:00 - Introduction to the role of chips in autonomous driving
00:17 - Why OEMs are driving in-house semiconductor programs
01:53 - What is a System on a Chip (SoC) and why is it critical?
03:08 - The importance of high-performance chips for self-driving cars
04:00 - Criteria for choosing autonomous driving chips: performance, energy efficiency, thermal management
07:12 - Major players in autonomous driving computing platforms besides Nvidia
08:20 - Regional differences in chip providers: Nvidia, Mobileye, Chinese local players
09:23 - Distinguishing between SAE Level 2+, Level 3, and Level 4 chips
10:31 - Cost considerations and chip price ranges for autonomous vehicles
11:44 - Why OEMs are developing in-house chips (Tesla, Rivian, Xiaopeng)
13:16 - The role of scale and volume in chip design investments
15:22 - Vertical diversification: robotics and other verticals feeding into chip strategy
16:27 - Competitive landscape: Will Nvidia and Mobileye maintain dominance?
18:17 - Software ecosystems and integration lock-in effects in chip selection
20:38 - OEMs' differentiation strategies: performance, cost, supply security
22:43 - Market penetration of high-performance chips in current global vehicle fleets
24:16 - Regional differences: China’s lower-speed focus and localized chip strategies
25:27 - The geopolitical aspects of in-house chip development in China
33:33 - Ecosystem of semiconductor design: TSMC, foundries, and supply chain dependencies
36:41 - Can OEMs produce chips entirely in-house? The necessity of foundries like TSMC
37:45 - Why smaller node sizes (4nm vs 6nm) matter for performance and energy efficiency
39:24 - The challenge of selecting the "best" chip for Level 4 autonomous vehicles
41:18 - Strategic questions for OEMs: build, partner, or buy?
44:54 - Final thoughts: navigating the complex semiconductor landscape for sustainable growth

00:00 Intro

00:44 Introduction Guest

05:06 Charlotte's Mission in Mobility

09:33 Challenges in the European Autonomous Vehicle Market

12:44 The Global Context of Autonomous Vehicles

25:36 Bolt's Strategic Intent in Autonomous Driving

30:02 Bolt's Ambitious Goals for Autonomous Vehicles

34:59 The Power of Demand and Data

36:43 Navigating Regulations and Market Complexity

40:43 Strategic Partnerships and Technology Integration

41:59 Addressing Data Sovereignty Concerns

46:03 Collaborating with Stellantis for AV Platforms

48:33 Liability in Autonomous Vehicle Operations

50:15 Preparing for City Deployments

53:16 User Experience in Autonomous Rides

55:30 The Role of ECAVA in European Mobility

58:42 Europe's Position in the Global AV Landscape

01:00:52 Future Projections for Autonomous Rides

01:03:18 Summary & Closing Thoughts