Sterling Anderson doesn’t think humanoid robots should be building cars
At a splashy event in New York City last week, General Motors unveiled its new tech roadmap centered on AI-driven vehicle development, advanced battery tech, high-powered car computers, and autonomous driving.
Some of this was old news: We already knew the automaker was developing hands-free, eyes-off driving automation and had been prototyping new battery chemistries. In a sense, the real purpose of the event was to showcase how all these pieces fit together. With its new “intelligence-defined vehicle” paradigm, GM is banking on artificial intelligence, centralized computing, and virtualized engineering to cut vehicle development timelines in half, aiming to compress a typical four- to five-year process down to just over two.
Yet, this high-tech overhaul arrives against a backdrop of steep industry headwinds and razor-thin margins for error. GM’s aggressive pivot comes as the automaker faces a wave of hyperefficient Chinese EV makers that are aggressively expanding globally. At the...
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