Rudy Lai
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AI @ General Motors

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

Summary

  • General Motors has significantly increased its adoption of AI from 2021 through 2025, evolving from licensing cutting-edge AI systems like MENNDL for pattern recognition and collaboration on autonomous vehicle perception systems, to appointing Barak Turovsky as Chief AI Officer in Q1 2025, indicating a strategic commitment to AI-driven innovation.
  • By 2024-2025, GM expanded AI use internally for manufacturing quality control, safety, and efficiency improvements, while externally leveraging AI to optimize EV charging infrastructure and strengthen its global supply chain, showing both operational and customer-facing AI integration.
  • Partnerships with major tech firms such as Nvidia and Google have propelled GM's generative and traditional AI capabilities, enabling sophisticated vehicle software testing, robotics, simulation, and real-time production line adjustments, contributing to cost reduction, risk mitigation, increased revenue, and enhanced customer experience.

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7 AI Use Cases at General Motors

Production Optimization
2025
Traditional
Generative
Agentic
Outcome
Costs
AI enables GM to analyze data in real-time to adjust production lines dynamically, improving efficiency and responding swiftly to changing demands or quality signals. [1][2]
Customer Targeting
2025
Customer Facing
Traditional
Generative
Agentic
Outcome
Revenue
GM uses data-driven AI to deliver timely marketing and personalized vehicle feature suggestions, enhancing customer experience and driving revenue growth. [1]
Quality Control
2025
Traditional
Generative
Agentic
Outcome
Costs
GM uses AI-driven technology to enhance vehicle quality by detecting defects early in manufacturing, improving safety and ergonomics for workers, and running intelligent tests continuously to ensure software reliability. [1][2][3]
EV Infrastructure
2025
Customer Facing
Traditional
Generative
Agentic
Outcome
GM applies AI and machine learning to optimize the placement of electric vehicle charging stations, improving accessibility and customer experience for EV owners. [1][2]
Retail Forecasting
2025
Customer Facing
Traditional
Generative
Agentic
Outcome
Revenue
GM uses AI-powered recommendation engines to help dealerships order vehicles more aligned with customer preferences and demand forecasts, optimizing inventory and increasing sales. [1]
Software Testing
2024
Traditional
Generative
Agentic
Outcome
Risk
AI is used to run more sophisticated and continuous testing of vehicle software systems, improving safety and reliability. [1][2]
Supply Chain
2024
Traditional
Generative
Agentic
Outcome
Risk
GM leverages AI for supply chain mapping, real-time event monitoring, and predictive analytics to boost resiliency, optimize logistics, and better manage global component sourcing. [1][2]

Timeline

2025 Q4: no updates

2025 Q3

3 updates

GM leverages AI to strengthen its global supply chain and manufacturing efficiency while improving EV marketing and personalizing vehicle features, maintaining its position as America's top automaker.

2025 Q2

1 updates

GM focuses AI applications on improving plant safety, manufacturing quality, and operational efficiency, continuing to scale AI-driven transformation.

2025 Q1

4 updates

GM appoints Barak Turovsky as its first Chief AI Officer; expands AI and machine learning applications into manufacturing quality control, EV charging optimization, retail vehicle ordering, and strategic partnerships with Nvidia.

2024 Q4

3 updates

GM enhances vehicle software quality and safety using AI-driven intelligent testing; also integrates AI in motorsports for race performance optimization.

2024 Q3

1 updates

GM uses predictive AI tools such as supply chain mapping and real-time event monitoring to boost resiliency in logistics and procurement.

2024 Q2

1 updates

GM develops a centralized data factory and plans to integrate generative AI, aiming to break down silos across various AI and ML projects.

2024 Q1: no updates

2023 Q4

1 updates

GM publicly discusses AI use cases including enhanced driver assistance, showing early consumer-facing AI vehicle technology deployment.

2023 Q3

1 updates

GM announces a broad partnership with Google to explore and implement AI technologies in automotive industry applications.

2023 Q2

1 updates

Jeff Abell of GM focuses on upskilling workforce capabilities in industrial AI expertise, highlighting human capital development alongside AI adoption.

2023 Q1: no updates

2022 Q4: no updates

2022 Q3: no updates

2022 Q2

1 updates

GM partners with Untether AI to develop next-generation autonomous vehicle perception systems using innovative at-memory compute technology.

2022 Q1: no updates

2021 Q4: no updates

2021 Q3: no updates

2021 Q2

1 updates

GM licenses the MENNDL AI system from ORNL, enabling evolutionary design of optimal convolutional neural networks to improve pattern recognition tasks relevant to automotive applications.