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 (GM) has progressively expanded its AI adoption from 2021, shifting from licensing AI systems like MENNDL to deeply integrating AI in manufacturing, vehicle safety, and operations by 2025. Leadership was strengthened with the appointment of Barak Turovsky as Chief AI Officer in Q1 2025.
  • By 2025, GM utilizes AI to optimize a range of processes including autonomous vehicle perception, production quality control, EV charging station placement, supply chain resilience, and customer marketing. Partnerships with Nvidia and Google underscore a strategic emphasis on advanced AI and computing technologies.
  • The company's AI maturity evolved from traditional predictive systems to agentic AI that actively manages workflows, quality testing, and supply chain monitoring, driving measurable benefits in safety, efficiency, cost reduction, and improved customer experience.

VIBE METER

More AI announcements = more VIBE
Q1 23Q2 23Q3 23Q4 23Q1 24Q2 24Q3 24Q4 24Q1 25Q2 25Q3 25Q4 25🔥🔥🔥🔥

6 AI Use Cases at General Motors

Customer Marketing
2025
Customer Facing
Traditional
Generative
Agentic
Outcome
Revenue
GM utilizes AI to analyze customer data and optimize marketing efforts, reaching customers at the right time with personalized offers, particularly promoting electric vehicles. [1]
Quality Control
2025
Traditional
Generative
Agentic
Outcome
Costs
GM uses AI-powered technology to enhance vehicle quality and safety by enabling frequent and sophisticated testing in manufacturing facilities, reducing defects and ensuring safety compliance. [1][2]
Dealer Ordering
2025
Traditional
Generative
Agentic
Outcome
Revenue
GM implemented an AI-driven recommendation engine to help dealerships optimize new vehicle orders based on tailored analytics and demand forecasting. [1]
EV Charging
2025
Customer Facing
Traditional
Generative
Agentic
Outcome
GM applies AI and machine learning algorithms to identify optimal locations for EV charging stations, improving accessibility and infrastructure planning across the U.S. [1][2]
Vehicle Software
2024
Traditional
Generative
Agentic
Outcome
Risk
GM uses AI and machine learning to perform intelligent, continuous vehicle software testing, enhancing software quality and improving safety features. [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 improve resiliency, avoid disruptions, and optimize inventory and logistics. [1][2]

Timeline

2025 Q4: no updates

2025 Q3

3 updates

GM is strengthening its global supply chain with AI to enhance production, maintenance, marketing, and EV infrastructure planning, maintaining its market leadership amid rising competition.

2025 Q2

1 updates

GM continued deploying AI focused on manufacturing improvements across safety, quality, and operational efficiency.

2025 Q1

4 updates

GM appointed Barak Turovsky as its first Chief AI Officer and launched multiple AI-driven initiatives: AI-powered quality control, enhanced manufacturing safety and ergonomics, AI-assisted EV charging network expansion, and dealer vehicle ordering recommendation engines. Partnership expanded with Nvidia for AI across vehicles, factories, and robotics.

2024 Q4

3 updates

GM applied AI and machine learning to run advanced continuous testing for vehicle software quality and safety, while also using AI at its Motorsports Command Center for competitive advantage.

2024 Q3

1 updates

GM used predictive AI tools, including supply chain mapping and real-time event monitoring, to boost operational resiliency.

2024 Q2

1 updates

GM focused on building a centralized data infrastructure to break down silos and enhance AI and machine learning projects company-wide, targeting generative AI exploration.

2024 Q1: no updates

2023 Q4

1 updates

GM applied AI for enhanced driver assistance and began exploring use cases around vehicle software and safety improvements.

2023 Q3

1 updates

GM announced a broad partnership with Google to explore automotive AI technologies.

2023 Q2

1 updates

GM focused on upskilling its workforce in industrial AI expertise, led by Jeff Abell, emphasizing internal capability building.

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 leveraging at-memory computation technology.

2022 Q1: no updates

2021 Q4: no updates

2021 Q3: no updates

2021 Q2

1 updates

GM licensed the MENNDL AI system from Oak Ridge National Laboratory, focusing on optimizing convolutional neural networks for automotive pattern recognition.