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GM CEO Mary Barra and Chief Product Officer Sterling Anderson discuss the company's ambitious technology roadmap amid dramatic market shifts. (15:04) The conversation covers GM's introduction of a Google Gemini-powered AI assistant coming to cars in 2026, a next-generation hardware and software platform debuting in the 2028 Escalade IQ with true Level 3 autonomous driving, plus new robotics and home energy divisions.
Mary Barra is the Chair and CEO of General Motors, having led the company for over a decade with more than 40 years of experience at GM. She has positioned GM as one of the most aggressive legacy automakers in the transition to electric and autonomous vehicles, making bold platform bets that are now paying off with award-winning EVs across multiple brands.
Sterling Anderson is GM's Chief Product Officer, joining the company in May 2024 after serving as co-founder of Aurora, the autonomous trucking startup. He previously spent several years at Tesla working on autopilot technology and holds a PhD in robotics, bringing deep expertise in both automotive platforms and autonomous systems to oversee GM's global product development.
GM's ability to pivot quickly has been crucial as the EV market has shifted dramatically. (06:58) The company took a $1.6 billion charge on EV business adjustments while maintaining strong gas vehicle sales. Barra emphasizes that her team has developed "the ability to be very resilient and agile to respond to all these challenges." This flexibility allows GM to meet customers where they are, whether they want EVs or internal combustion engines, rather than being locked into a single trajectory regardless of market conditions.
Sterling Anderson highlights GM's strategic approach of building foundational technologies that can scale across their entire portfolio. (36:03) Rather than creating isolated skunkworks projects, GM focuses on common platforms, shared engineering, and centralized innovation that can "rapidly scale across a massive portfolio of vehicles." This includes pioneering lithium manganese rich battery chemistry, becoming the largest cell manufacturer in North America, and developing software-defined vehicle architectures that will debut in the 2028 Escalade IQ.
GM's approach to technology deployment prioritizes safety validation before feature rollout. (78:41) Anderson notes that Super Cruise customers have driven over 700 million hands-free miles "without a single accident attributed to the technology." This methodical approach may seem slower than competitors, but it builds lasting customer loyalty. Barra receives letters weekly from customers whose lives were saved by GM's safety technologies, creating brand loyalty that transcends individual product cycles.
GM is extending beyond traditional automotive boundaries into home energy, robotics, and AI-powered services. (68:55) The company's robotics division leverages decades of manufacturing data and 30,000 factory robots to develop systems that could eventually serve broader markets. Their battery technology powers grid-scale energy storage, and vehicles can power homes during outages. This ecosystem approach transforms cars from transportation tools into integrated platforms for energy, AI, and automation services.
GM's new electrical architecture centralizes all vehicle compute, enabling 35x more computational power and sub-millisecond response times. (60:03) This foundation supports over-the-air updates and AI applications while maintaining safety-critical controls. Anderson explains that this "abstraction of hardware and software" will reduce the complexity consumers face today, where different features work differently across model lines. The centralized approach allows new capabilities to be deployed fleet-wide rather than requiring completely new vehicle programs.