AI @ General Motors
Summary
- General Motors (GM) has progressively integrated AI technologies from 2021 through 2025, evolving from AI system licensing (MENNDL) for pattern recognition to advanced collaborations with NVIDIA and Google for autonomous vehicle perception, manufacturing automation, and next-gen vehicle development.
- By 2025, GM appointed Barak Turovsky as Chief AI Officer, significantly expanded AI applications across manufacturing, vehicle quality, safety, and marketing—particularly for electric vehicles—leveraging AI to optimize EV charging infrastructure, production lines, and customer engagement, resulting in notable operational efficiency gains (20%-30%) and enhanced product quality.
- GM's AI adoption is mature and agentic, encompassing predictive tools, AI-driven quality control, automated testing, autonomous planning in motorsports, and strategic data infrastructure to break silos and unify AI projects company-wide, reinforcing its position as a software-driven automotive leader aiming to improve safety, quality, efficiency, and customer experience.
VIBE METER
7 AI Use Cases at General Motors
Production Optimization2025
Quality Control2025
EV Infrastructure2025Customer Facing
Customer Targeting2025Customer Facing
Motorsports Strategy2024
Supply Resiliency2024
Autonomous Perception2022
Timeline
2025 Q3
GM's AI strategy emphasizes practical innovation to improve operational efficiency, safety, and quality, deploying AI for production optimization, marketing electric vehicles, predictive maintenance, and EV charging network expansion; AI integration supports real-time production adjustments and enhanced customer targeting.
2025 Q2
GM continued AI-driven transformation focusing on improving manufacturing safety, quality, and efficiency through AI applications, consolidating its AI maturity and operational impact.
2025 Q1
GM appointed Barak Turovsky as its first Chief AI Officer, expanded AI partnerships with NVIDIA, and rolled out AI-powered recommendation engines for dealerships, optimized EV charging placement, and AI-driven manufacturing/testing leading to 20%-30% gains in efficiency and quality.
- autonews.com: GM creates AI-powered engine to help dealers order new vehicles
- NVIDIA Newsroom: General Motors and NVIDIA Collaborate on AI for Next-Generation Vehicle Experience and Manufacturing
- nationalcioreview.com: General Motors Appoints New Artificial Intelligence Chief
- inspenet.com: GM uses AI to expand EV charging infrastructure in the US
- news.dealershipguy.com: GM turns to Nvidia for AI-driven manufacturing and automation
2024 Q4
GM leveraged AI in motorsports for faster decision making, and used AI-driven testing and quality improvement to enhance vehicle software safety and ergonomics.
2024 Q3
GM utilized predictive AI tools for supply chain resiliency, incorporating real-time monitoring, AI, and supply chain mapping to mitigate risks and improve operational efficiency.
2024 Q2
GM built a centralized data factory aiming to break down AI silos and integrate machine learning efforts across the company, preparing for expanded use of generative AI.
2024 Q1: no updates
2023 Q4
GM discussed AI use cases including enhanced driver assistance, highlighting AI applications for vehicle safety and autonomous features.
2023 Q3
GM announced a broad partnership with Google to explore AI technologies for automotive industry applications, advancing AI integration in vehicles and operations.
2023 Q2
Jeff Abell from GM emphasized workforce upskilling in industrial AI expertise, reflecting GM's commitment to internal talent development around AI technology.
2023 Q1: no updates
2022 Q4: no updates
2022 Q3: no updates
2022 Q2
GM partnered with Untether AI to develop autonomous vehicle perception systems using at-memory computation technology, advancing AI in self-driving capabilities.
2022 Q1: no updates
2021 Q4: no updates
2021 Q3: no updates
2021 Q2
GM licensed the MENNDL AI system from ORNL to design optimized convolutional neural networks for automotive use, marking early adoption of AI for pattern recognition tasks.