Tesla's Cybercab is giving paid rides in Austin with no steering wheel, no pedals, and nobody in the front seat. It's a real step forward. But can it scale? In this video I walk through what's real, what's still a promise, and what to watch next, and I try to be fair to every company along the way.
What's covered:
- What's real: Cybercab production started this year, paid rides began in Austin on September 3, and the Texas fleet grew from about 45 to over 300 cars in about a month
- Capacity vs. cars built: why Tesla's "more than 125,000 a year" figure is line capacity, not cars actually made
- The rules: Tesla self-certified instead of seeking an exemption like Zoox, NHTSA opened an audit, and Tesla doesn't have driverless permits in California
- Miles and safety: Tesla's driverless miles vs. Waymo's 270 million+, plus the Austin crash reports
- How others compare: Waymo, Zoox, Baidu Apollo Go, May Mobility, and what Cruise's shutdown teaches
- The money: why a low car price alone doesn't settle the cost per mile
- Five things to watch: the NHTSA audit, California permits, safety data, remote operators, and Waymo's growth
Sources are drawn from public filings, earnings calls, state records, and news reports as of early October 2026.
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#Tesla #Robotaxi #Cybercab #Waymo #SelfDrivingCars #AutonomousVehicles #Zoox
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Tesla Robotaxi vs Waymo: Is the Cybercab Ready to Scale?
Innovation Unpacked | Mike Boysen
Mike Boysen shares insights into the evolution of First Principles and Jobs-to-be-Done, especially in the age of Generative AI. He makes the previously secret process more accessible new approaches and automated tools that vastly reduce the time, effort, and cost of doing what the large enterprises have been investing in for years. This will be especially interesting for the earlier stage, smaller enterprises, and those investing in them who have always had to rely on a superstar, or guess (or maybe that's the same thing!). So...check it out!
Mike Boysen shares insights into the evolution of First Principles and Jobs-to-be-Done, especially in the age of Generative AI. He makes the previously secret process more accessible new approaches and automated tools that vastly reduce the time, effort, and cost of doing what the large enterprises have been investing in for years. This will be especially interesting for the earlier stage, smaller enterprises, and those investing in them who have always had to rely on a superstar, or guess (or maybe that's the same thing!). So...check it out!Appears in episode
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