Self-driving has been “almost here” for over a decade. But somewhere between DARPA challenges and a handful of driverless trucks hauling freight between Dallas and Houston, Aurora co-founder and CEO Chris Urmson’s story changed. The self-driving truck company started commercial driverless operations last April and is now scaling from a handful of trucks to hundreds this year.
On this episode of TechCrunch’s Equity podcast, we’re bringing you a conversation Rebecca Bellan had with Urmson at the HumanX conference in San Francisco. The pair dug into the long road from lab to highway and how physical AI differs from the LLM boom everyone else is chasing.
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Chapters:
00:00 Intro
00:49 Urmson’s self-driving journey from DARPA to Aurora
03:30 How macro headwinds and supply constraints are shaping Aurora’s roadmap
06:08 Why trucking beats robotaxis as a business
13:46 How Aurora’s path diverged from Waymo’s
18:09 What 24 years in physical AI teaches you about building a startup
19:33 Why safety hits different when there’s no human in the loop
23:38 Verifiable AI vs. end-to-end systems: why it matters for safety
27:11 Other autonomy companies worth watching
29:04 Real-world data vs. simulation: do you still need both?
30:03 Outro
