Sterling Anderson doesn’t think humanoid robots should be building cars

At a high-profile event in New York City, General Motors announced its new tech roadmap focused on AI-driven vehicle development, advanced battery tech, and autonomous driving. The company aims to reduce vehicle development timelines by half through its "intelligence-defined vehicle" paradigm. However, this shift comes amid challenges from Chinese EV competitors and declining US EV demand, forcing GM to recalibrate its electrification strategy. GM's chief product officer, Sterling Anderson, emphasized the importance of balancing software development with safety, highlighting the use of virtualized tests to improve safety and speed. He noted that the company is investing in AI models that learn from data and are being embedded into vehicles, with some models running locally for safety-critical functions. The company is also working on distilling AI models into onboard models to address latency, though this is considered an on-the-edge user experience element. GM's unique portfolio of brands with distinct identities presents a challenge in standardizing features across vehicles while maintaining brand uniqueness. The company is focusing on optimizing suspension, powertrain, and drive units to ensure optimal performance across its portfolio. Despite these efforts, GM faces the challenge of competing with agile software-first companies like Tesla.

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