General Motors aims to shorten vehicle production time with artificial intelligence and software
Speaking at the 'GM Forward' event in New York, General Motors aims to reduce vehicle development processes to approximately two years through artificial intelligence integration.
General Motors announced its new artificial intelligence-backed operational strategy at the 'GM Forward' event held in New York. The company plans to reduce the vehicle development cycle, which traditionally takes four to five years, to approximately two years using AI simulations and virtualization methods.
At the event held in Manhattan on October 21, 2026, CEO Mary Barra and Chief Product Officer Sterling Anderson shared the details of the new corporate AI-driven approach. The company implements a concurrent engineering model by accelerating processes such as wind tunnel tests with AI simulations. The fourth-generation electric vehicles to be introduced in the new era will possess 40 times more processing power compared to previous systems, and will offer a lighter and more aerodynamic structure with Lithium Manganese Rich battery chemistry.
On the other hand, sources contain varying details regarding the status of the proprietary OnStar AI assistant developed within the company and its relationship with Google Gemini. While some sources state that the current Google Gemini integration will be deepened further, others report that a new OnStar AI assistant is being developed to be used based on customer preference. In addition, the system will first be offered via an over-the-air update on the 2027 Cadillac Lyriq.
The company also aims to launch 'eyes-off' driving technology on highways, starting with the Cadillac Escalade IQ EV model as of 2028. It is reported that wind tunnel simulation result times have been significantly shortened through AI models, and numerous battery designs for LMR chemistry have been tested in a virtual environment.