Rudy Lai

AI @ General Motors

International automaker, global presence
Industry
Last updated
July 3, 2025 at 10:44 AM

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.

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7 AI Use Cases at General Motors

Production Optimization
2025
Traditional
Generative
Agentic
Outcome
Costs
GM uses AI and machine learning to analyze real-time data from manufacturing lines, enabling dynamic adjustments to production processes that increase efficiency and reduce waste. [1][2][3]
Quality Control
2025
Traditional
Generative
Agentic
Outcome
Risk
AI-driven testing technologies enable GM to continuously and intelligently test vehicle software and components, leading to improved product quality and safety compliance. [1][2]
EV Infrastructure
2025
Customer Facing
Traditional
Generative
Agentic
Outcome
AI and machine learning are utilized to optimize the location and expansion of electric vehicle charging stations across the US to meet demand efficiently. [1][2]
Customer Targeting
2025
Customer Facing
Traditional
Generative
Agentic
Outcome
Revenue
GM applies AI algorithms to analyze customer data and market trends, enabling personalized and timely marketing campaigns to enhance sales performance, especially for electric vehicles. [1][2]
Motorsports Strategy
2024
Traditional
Generative
Agentic
Outcome
Revenue
GM's Motorsports Command Center employs AI to coordinate racing strategies and operations, leveraging autonomous decision-making to gain competitive advantages. [1]
Supply Resiliency
2024
Traditional
Generative
Agentic
Outcome
Risk
GM uses predictive AI tools for supply chain mapping and real-time event monitoring to anticipate disruptions and maintain production continuity, improving operational robustness. [1]
Autonomous Perception
2022
Traditional
Generative
Agentic
Outcome
Risk
Partnerships like with Untether AI enable GM to develop advanced vehicle perception systems that enhance autonomous driving capabilities using specialized AI hardware tech. [1]

Timeline

2025 Q3

2 updates

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

2 updates

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

5 updates

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.

2024 Q4

3 updates

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

1 updates

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

1 updates

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

1 updates

GM discussed AI use cases including enhanced driver assistance, highlighting AI applications for vehicle safety and autonomous features.

2023 Q3

1 updates

GM announced a broad partnership with Google to explore AI technologies for automotive industry applications, advancing AI integration in vehicles and operations.

2023 Q2

1 updates

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

1 updates

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

1 updates

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.