General Motors is pursuing a fundamentally different path in the autonomous vehicle race than companies like Waymo, betting that the real prize lies in putting self-driving technology into privately owned cars rather than commercial robotaxi fleets. The automaker is on a major hiring spree, recruiting top engineers from competitors including Waymo, Tesla, and Zoox to build what it calls an "autonomous-driving bench" capable of delivering eyes-off driving technology for the Cadillac Escalade IQ by 2028.

The distinction matters because it represents a divergence in how the industry views the future of autonomous vehicles. While Waymo has focused on building robotaxi services in select cities, GM is targeting a much larger addressable market: tens of millions of customer-owned vehicles across the United States. "Nobody has solved millions of cars all across the US roads at, let's say, $10,000 worth of hardware," said Rashed Haq, GM's VP of autonomous vehicles. "That is still a very much unsolved problem and a very interesting problem".

What Makes GM's Approach Different From Waymo's Strategy?

Waymo's robotaxi model relies on a costly suite of sensors, including custom-built cameras, radars, and LiDAR (Light Detection and Ranging) systems that detect objects using laser pulses. These vehicles operate in limited geographies where demand is high enough to justify the investment in dedicated fleets. In contrast, GM is designing a self-driving system that can be mass-produced and installed in vehicles sold to individual consumers, a scale that has eluded the autonomous vehicle industry so far.

GM's recent hiring strategy reflects this ambition. The company brought on Sterling Anderson, a former Tesla Autopilot leader, as chief product officer, along with Sean Harris from Wayve, Jean-Yves Bouguet from Zoox, and ZJ Jia from Uber. Multiple hires also came from Cruise, GM's own defunct robotaxi venture that the company shut down in 2024 to refocus resources on personal vehicle autonomy.

"We've already nearly doubled last year's external hires, we're filling roles faster than we were in 2025, and applications from external AV talent have doubled too," a GM spokesperson stated.

GM Spokesperson, General Motors

The hiring momentum is significant. GM confirmed it is recruiting talent from competing autonomous vehicle companies, including Tesla, Waymo, and Zoox, though the company declined to disclose the exact size of its autonomy organization.

How Is GM Planning to Achieve Mass-Market Self-Driving by 2028?

GM's near-term roadmap involves a phased rollout beginning with highway driving on the Cadillac Escalade IQ, then expanding to other driving scenarios. The company is leveraging several competitive advantages to reach this goal:

• Sensor Strategy: Unlike Tesla, which relies on cameras alone, GM plans to use lidar for eyes-off driving, a sensor that Haq described as providing a "material advantage" in detecting obstacles and hazards.
• Data Foundation: GM's Super Cruise hands-free driver-assistance system has logged more than 1 billion miles of hands-free driving, providing a massive dataset to train and refine the autonomous system.
• Manufacturing Scale: GM has its own manufacturing footprint and a large customer base, allowing it to produce and deploy self-driving vehicles at a scale that smaller startups cannot match.
• Rapid Testing Progression: Since announcing its new autonomy stack last year, GM has moved quickly from simulation testing in January to closed-course testing in February and public road testing by March.

Haq emphasized that the combination of talent, data, architecture, and manufacturing scale gives GM an edge over both robotaxi companies and smaller startups. "We're talking about tens of millions of cars," he noted, highlighting the vast difference in addressable market between personal vehicle autonomy and commercial robotaxi fleets.

Haq

What Challenges Remain for GM's Autonomy Push?

Despite the aggressive hiring and rapid testing progress, significant hurdles remain. GM must complete building and fully testing the driving system, ensure safety across diverse road conditions, handle edge cases that autonomous systems struggle with, and deliver a smooth customer experience. The company is drawing lessons from both its successful Super Cruise program and the failure of Cruise, its robotaxi venture.

GM's chief product officer, Anderson, previously indicated that personal autonomy work could eventually lead to a robotaxi service, though the company's top priority remains privately owned vehicles. For now, the bet is clear: the automaker believes that solving autonomy for millions of customer-owned cars, rather than thousands of commercial vehicles, represents the true scale opportunity in autonomous driving.

Ford is also targeting a 2028 launch for similar eyes-off driving technology, while Rivian has accelerated its timeline to 2027, indicating that the race to bring self-driving to personal vehicles is intensifying across the industry.