// automotive infrastructure

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Chinese carmakers race toward chip independence with AI integration

BYD and Nio are moving beyond assembly to in-house chip design, reducing dependence on Qualcomm and Nvidia. Export controls forced the shift, but falling semiconductor design costs and commoditization of AI inference tasks made it viable. Automotive AI—autonomous driving, cabin systems—is now table-stakes competition. Control over silicon gives Chinese manufacturers pricing power, faster iteration cycles, and insulation from U.S. sanctions. The economic threat extends beyond Western chipmakers to their vertically integrated software-to-silicon advantage in the vehicle market.

GM's $900M Wager on Unproven Battery Chemistry Targets 2028 Price Drop

General Motors is betting heavily on sodium-ion batteries—a chemistry that remains lab-stage at scale—as its path to materially cheaper EVs within five years, a timeline that requires simultaneously solving manufacturing, supply chain, and performance challenges that competitors haven't cracked yet. This is a commitment of capital and engineering, not a hedge. GM views incumbent lithium-ion supply chains as a bottleneck to mass-market EV adoption, not a solved problem. The risk is binary: if sodium-ion scales as promised, GM gets a 2-3 year cost advantage; if it doesn't, the company has burned $900M on an R&D bet while competitors continue incrementally improving lithium economics.