GM Chief Product Officer Sterling Anderson, who ran Tesla’s Autopilot program in 2015 and 2016, says dropping radar for a camera-only self-driving system is “a weird religious stance that ignores physics.”
📌 The Core Development
It’s the bluntest rebuke of Tesla’s vision-only bet yet from someone who helped build the original Autopilot. And it lands while Tesla is pushing camera-only Cybercabs into driverless service in Austin.
Anderson made the comments in an interview with The Verge published October 27, after GM’s technology event in New York the week before. Asked whether GM could eventually move to a vision-only approach like Tesla’s, he didn’t leave much room for interpretation.
🔍 Background & Sector Context
“If you scale back to vision-only, physics suggests you’ll be in trouble in certain situations,” Anderson said. He added that radar is so cheap that removing it makes no sense, and that “cameras can’t see through dense fog or measure instantaneous velocity like radar can.”
He also said lidar helps camera systems improve faster when the two are trained together. That’s a direct counter to Tesla’s argument that cameras plus fleet data are all you need.
📊 Industry & Real-World Impact
Anderson isn’t a lidar startup CEO talking his book. He led the Model X program at Tesla, then directed Autopilot during its formative years before co-founding self-driving company Aurora. GM hired him as chief product officer in 2025, and Bloomberg reported last year that Mary Barra sees him as a frontrunner to become GM’s next CEO .
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🔮 Strategic Outlook & What Lies Ahead
His roadmap at GM goes the other way from Tesla’s. The Cadillac Escalade IQ is due to debut GM’s “eyes-off” system in 2028 , with lidar, radar, and cameras.
He took a shot at another Tesla habit in the same interview. Anderson said he avoids “eyes off” marketing language altogether, arguing that a driver-assist system that feels very capable already pushes drivers into complacency. That’s the core problem with selling “Full Self-Driving (Supervised).”
