General Motors Uses AI to Halve Vehicle Development Time
General Motors is integrating AI and simulation to reduce vehicle development cycles to two years and launching a new AI-powered OnStar assistant.
General Motors announced a comprehensive technological overhaul at its GM Forward event in New York, utilizing artificial intelligence and massive-scale simulations to reduce new-vehicle development timelines from five years to approximately two. This strategic shift aims to compete with Chinese manufacturers by accelerating innovation and lowering costs. The company utilized 300 million CPU hours to simulate 300,000 battery designs for its next-generation lithium manganese-rich cells, which offer 33% more energy density than lithium iron phosphate. These batteries will be produced via a joint venture with LG Energy Solution in Tennessee by 2028.
As part of this transition, the automaker is overhauling its 30-year-old OnStar service into an intelligent platform. A new voice-activated AI Assistant will debut in the 2027 Cadillac Lyriq, capable of controlling vehicle functions and planning routes based on driver calendars. While GM plans to unify its mobile apps under a single OnStar AI app by next summer, Ed Nightingale confirmed that human staffers will still handle emergency crash calls because the stakes are too high.
GM is also advancing its autonomy goals, moving from Level 2 Super Cruise to Level 3 eyes-off highway driving. This system, supported by a new liquid-cooled central compute unit 40 times more powerful than current hardware, will first appear in the 2028 Cadillac Escalade IQ before expanding to other SUVs and trucks. To support these initiatives, the company is investing over $16 billion in U.S. research, development, and manufacturing this year.