Podcast Summary: Business Wars

Episode: Waymo and the Rise of the Robotaxis | Test Drive | 3
Date: January 21, 2026
Host: David Brown

Overview

This episode takes listeners on a firsthand ride in a Waymo robo-taxi in Austin, Texas, with David Brown and his daughter, Magnolia. Following the real-world test, Brown interviews Larry Burns—former GM head of R&D and longtime Waymo consultant—on how autonomous vehicles (AVs) are being developed, the challenges faced, their impact on society, and what the future might hold. The episode gives both the street-level feel of AVs and a deep industry perspective.

Street-Level Test Drive: Riding in a Waymo (00:07–12:24)

Key Insights

• Austin’s Robo-Taxi Pilot:
  David Brown describes the difficulty of hailing a Waymo, which, at the time, is only available through Uber for short downtown trips as part of a limited rollout.
  "You have to go to the Uber app, opt in to driverless rides in your settings, and then get lucky enough to get assigned one." (03:27)

• First Impressions and Missteps:
  The ride starts with the confusion of getting into the wrong Waymo after failing to check the vehicle’s initials display.
  "We made a big rookie mistake... someone else got a Waymo, and we got into the wrong vehicle." (05:00)

• Passenger Experience:
  Magnolia comments on the comfort, safety, and novelty of the Waymo Jaguar, as well as company messaging around safety.
  Magnolia: "By Uber using it for a self-driving car, they're basically telling you it’s safe." (07:01)

• Surveillance and Safety:
  The car’s systems monitor if seatbelts are buckled and will call support if not.
  Waymo Support: "We just received a seat alert from the Core Garden with your ride... it's because the seatbelt [is] unbuckled." (06:02)

• Autonomous Navigation Feats and Quirks:
  Brown and Magnolia are impressed as the Waymo avoids obstacles, reroutes intelligently, and handles congestion. Some surprise detours and lack of route communication spur suggestions for improvement.
  David: "The Waymo has just figured out that car in front of us was just stopped... that's pretty smart." (08:56)
  Magnolia: "I think maybe something they could do is say like 'rerouting'. Because if you're sitting in a Waymo and you don't know that, you're like, where the heck am I going?" (09:44)

• Safety Perceptions – Robotaxi vs. Human Driver:
  Magnolia, as a teenager, highlights advantages of AVs for vulnerable populations, noting support presence and lack of predatory drivers, but acknowledges understandable public wariness.
  Magnolia: "There's always like a worry of... your own personal safety in an Uber. There's been countless examples… As a teenager, I’ve kind of refused to take Uber because I feel more unsafe. I feel a little bit more safe [with Waymo]." (10:22–10:44)

• Overall Ride Takeaways:
  Brown concludes the ride was impressive—clean, private, well-monitored, and with a sense of “magic,” despite its quirks and learning curve for users.
  "Without a human driver to listen in on your conversation, it felt like a more private experience... it all feels a little magic." (11:15)

Expert Interview: Larry Burns on the Autonomous Revolution (12:28–38:34)

Larry’s Background and Vision (13:43–14:58)

• Origin Story:
  Burns’ interest began as GM’s R&D chief, commissioned to reimagine the car for modern needs: "My boss... asked me: If we were inventing the car today, what would you do different?... over 40,000 people per year were dying... maybe driving was the distraction." (13:54)

AV Culture: Love for Driving vs. Safety (15:37–16:44)

• The Emotional Bond with Cars:
  Burns emphasizes that autonomy isn’t about banning driving but offering alternatives, likening it to the shift from horses to cars. "No one’s walking around saying you won’t be able to drive in the future... there's going to be another mode out there, which is the opportunity to just take a ride in what I call the ultimate riding machine." (15:37)

First Rides and the Learning Curve (17:03–19:15)

• Early Prototypes:
  His first AV ride was jarring, but the 2010 Google Self-Driving Prius amazed him by mimicking human responses to traffic. "This Prius nudges over to the left just like I would do... I realized my Prius had already started to back off and create a gap... I’m going, geez, this is 2010. This is going to work." (17:03–18:55)

• Waymo’s Approach:
  "Waymo's safety record is pretty impressive... they're five to ten times safer than human drivers. That's pretty darn profound." (19:23)

• The Tortoise vs. Hare Analogy:
  "The safety leader in autonomous vehicles will be the market leader... I'd rather ride slow on a safe tortoise than ride fast on a risky hare.” (19:23)

Technology and Safety Debates (21:33–24:53)

• Human Decisions, Robotic Precision:
  Burns compares AVs’ senses and choices directly to those of human drivers: "You're constantly making two decisions: How fast should I go and which way should I steer?... An autonomous car is making the same decisions as a human-driven car." (21:57)

• Sensor Strategies:
  Addressing Tesla’s minimalist sensor approach vs. Waymo’s cautious, robust setups: "You can’t cut the safety systems out... every bit of data from every extra sensor... is worth it to really learn safely on the road." (23:28)

Adapting to Complex Cities and Expanding Learning (24:53–26:02)

• Real-World Data is Crucial:
  "You're not going to learn everything you need in a lab or test track... San Francisco has been a focal point... those learnings are carrying over [to other cities]." (25:20)

Vehicle Selection and Design (26:53–29:03)

• Why Jaguar?
  Chosen for ease of electronic integration and practical business considerations, not just prestige. Larry: "We were looking for a vehicle that had an electrical architecture, a software architecture... which would make it easier to integrate sensors and actuators." (26:57)
  David: "You've got to tap into the spinal cord of that car." (27:19)
  Larry: "Perfect way to put that." (27:22)

• Next Generation Vehicles (Ojai/Zeekr):
  Purpose-built for easy access, safety, flexibility (can have a human backup), and efficient fleet management. "It's a vehicle that was developed with G Lean. The way they thought about it... you get in the car, the car goes, oh hi." (28:07)

Infrastructure and Failures (29:03–29:58)

• Handling Edge Cases:
  Power outages can stop AVs, but each incident creates new learning for the system. "The cars go into a safety mode... so let's not keep moving because we don't know what we need to know." (29:31) "If that ever happens again, Waymo's got that learning under their belt." (29:56)

Adoption Analogy and Market Tipping Point (30:25–32:24)

• Public Fear & Air Travel Analogy:
  "The Wright brothers invented the airplane... the safety record of those early aircrafts wasn’t very good... but it got to a point where people started flying." (30:54)

• True Tipping Point:
  "Value exceeds price, price exceeds cost. I haven’t seen anything... that suggests to me that's not going to happen with autonomous vehicles. We'll get to that point." (32:22)

Robo-taxis as Icebreakers, Impact on Ownership, and Cost (32:24–36:40)

• Five-Year Horizon for Robo-Taxi Tipping Point:
  "I think we're within a five year window of these tipping points... what happens if you can deliver that at 30 or 40 cents a mile?" (32:38)

• Effects on Car Ownership:
  Even replacing a family’s second car with robo-taxis yields major savings. "Even if robo-taxis do nothing more than enable a lot of households to get by with one car instead of two, those households are going to put a meaningful amount of money in their pocket." (33:14)

• Profound Downward Pressure on Costs:
  "In Ann Arbor, a fleet of 18,000 AV pods could replace 120,000 personal cars... cost per mile down to about 30 cents." (34:21)

• Seat Utilization Waste:
  "275 million cars with five seats each... those seats are empty 95% of the time... that's the equivalent of 12,000 football stadiums sitting empty at any point in time." (35:01) "I envision the vehicle as something that you wear, not just drive or ride in. Something you could park in your closet, not in your garage." (36:01)

Industry and Geopolitics (36:40–38:21)

• Major Players:
  "Zoox is important. Tesla's important... Gattic [Middle Mile deliveries]... Aurora, Kodiak [trucks]... In China, they've got AVs in 50 cities." (36:57)

• Global Race:
  "I don’t think it's responsible to conclude that the US is ahead here... it's an extremely important strategic technology. The knowhow here also applies to robots, drones, and other things." (37:28)

• Societal Impacts:
  "Gives us a chance to solve... challenges related to sustainability and equity… it’s a huge enabler." (38:14)

Notable Quotes & Memorable Moments

• On Tipping Point for Adoption:
  "Value exceeds price, price exceeds cost. I haven’t seen anything... that suggests to me that's not going to happen with autonomous vehicles. We'll get to that point."
  – Larry Burns, 32:22

• On the Human Element:
  "Prince wrote little red Corvette. He didn't write little red laptop computer."
  – Larry Burns, 15:37

• On the Empty Seats Problem:
  "That's the equivalent of 12,000 University of Michigan football stadiums sitting empty at any point in time."
  – Larry Burns, 35:01

Timeline of Major Segments

• 00:07–02:26 – David Brown sets stage, introduces Austin ridealong, safety debate.
• 03:01–12:24 – Detailed blow-by-blow of Austin Waymo ride and afterthoughts.
• 12:28–13:43 – Setting up expert interview, intro to Larry Burns.
• 13:43–21:33 – Burns’ background, personal motivation, GM/Waymo history, what AVs could fix.
• 21:33–26:53 – Technical deep dive: sensors, human vs. machine perception, safety strategies.
• 26:53–29:03 – Vehicle selection, hardware integration, new models.
• 29:03–30:25 – Edge cases: power outages, learnings.
• 30:25–32:24 – Analogy to air travel, public perception, path to mass adoption.
• 32:24–36:40 – Ownership changes, cost per mile, societal impact.
• 36:40–38:21 – Players in the industry, global competition, non-car applications, AV as a strategic technology.

Tone and Style

Conversational, at times wry but deeply inquisitive, balancing layman’s awe of the technology (“it all feels a little magic”) with expert skepticism and practical focus on safety, economics, and society.

Conclusion

This episode delivers a compelling, multi-angle look at the rise of robo-taxis, contrasting firsthand encounters (“party fouls” and all) with industry insights and the sweeping possibility of an autonomous future. Both Brown’s civilian curiosity and Burns’ sober industry leadership highlight the anxieties, challenges, and transformative promises on the horizon for city streets and the global economy alike.