Rudy Lai

AI @ General Motors

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

Summary

  • From 2021 to early 2026, General Motors (GM) has progressively integrated advanced AI technologies across vehicle design, manufacturing, supply chain, and autonomous driving, evidenced by strategic partnerships with NVIDIA and Google and hiring of AI leadership such as Chief AI Officer Barak Turovsky.
  • AI applications at GM have transitioned from experimental pattern recognition systems like MENNDL (2021) to comprehensive AI-driven manufacturing improvements, quality control, EV charging infrastructure optimization, predictive supply chain management, and plans for commercial deployment of conversational AI and eyes-off autonomous driving by 2028.
  • GM's AI adoption shows clear increasing trends aiming to reduce costs, improve quality and safety, enhance customer experience, and increase revenue through data-driven production adjustments and autonomous vehicle technology, positioning GM as a leader among automotive OEMs in AI innovation.

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6 AI Use Cases at General Motors

Autonomous Driving
2025
Customer Facing
Traditional
Generative
Agentic
Outcome
GM is developing autonomous vehicle technologies with AI for perception, decision-making, and eyes-off hands-free driving targeting safe deployment by 2028, incorporating Google Gemini conversational AI. [1][2]
Supply Chain Resilience
2025
Traditional
Generative
Agentic
Outcome
Risk
GM employs AI-driven tools like SupplyMap and Risk Intelligence to monitor, predict, and mitigate supply chain disruptions, enhancing responsiveness and efficiency. [1][2]
Manufacturing Optimization
2025
Traditional
Generative
Agentic
Outcome
Costs
GM uses AI to detect defects early, improve quality control, optimize safety, and enhance efficiency across manufacturing plants through continuous monitoring and predictive analytics. [1][2][3]
Dealer Demand Forecasting
2025
Traditional
Generative
Agentic
Outcome
Revenue
GM uses AI recommendation engines to provide dealerships personalized vehicle ordering suggestions, optimizing inventory to better match consumer demand. [1]
EV Charging Optimization
2025
Customer Facing
Traditional
Generative
Agentic
Outcome
AI algorithms analyze geographic and usage data to identify optimal locations for new electric vehicle charging stations, expanding infrastructure effectively. [1][2]
Motorsports Analytics
2024
Traditional
Generative
Agentic
Outcome
Revenue
GM deploys AI systems in motorsports to coordinate race strategies and optimize vehicle performance through simulation and rapid data analysis. [1]

Timeline

2026 Q1: no updates

2025 Q4

2 updates

GM announced plans for eyes-off autonomous driving by 2028, rollout of conversational AI powered by Google's Gemini technology, and a centralized computing platform exemplified by the Cadillac ESCALADE IQ to deepen AI integration in vehicles and supply chain management.

2025 Q3

2 updates

GM expanded AI adoption in vehicle production, marketing of EVs, and global supply chain resilience with in-house tools like SupplyHealth and SupplyMap to proactively manage risks and improve responsiveness; GM also recruited elite AI talent and emphasizes AI as a practical, transformative force.

2025 Q2

1 updates

GM's AI implementations prioritize improving safety, quality, and efficiency in manufacturing plants, transforming toward a software-driven automotive leadership.

2025 Q1

5 updates

GM significantly expanded AI adoption across manufacturing with AI-driven quality control, safety improvements, and efficiency gains; appointed Barak Turovsky as Chief AI Officer; partnered with NVIDIA on next-gen vehicle and factory AI; used AI for EV charger site optimization and dealer vehicle order recommendations.

2024 Q4

2 updates

GM utilized AI and machine learning to run continuous, sophisticated vehicle software tests enhancing quality and safety; also deployed AI in motorsports to optimize performance.

2024 Q3

1 updates

GM deployed predictive AI tools for resiliency, including supply chain real-time event monitoring and supply chain mapping to mitigate disruptions.

2024 Q2

1 updates

GM initiated its centralized 'data factory' strategy to break down silos and unify AI and machine learning projects, with strategic vision to incorporate generative AI.

2024 Q1: no updates

2023 Q4

1 updates

Published analyses highlighted GM's AI use cases in enhanced driver assistance and vehicle software improvements to boost safety and performance.

2023 Q3

1 updates

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

2023 Q2

1 updates

GM focused on upskilling its workforce in industrial AI, with executives like Jeff Abell promoting AI education for better workforce readiness.

2023 Q1: no updates

2022 Q4: no updates

2022 Q3: no updates

2022 Q2

1 updates

GM partnered with Untether AI to develop next-generation autonomous vehicle perception systems leveraging at-memory computation technologies.

2022 Q1: no updates

2021 Q4: no updates

2021 Q3: no updates

2021 Q2

1 updates

GM licensed the MENNDL AI system from ORNL, which uses evolutionary techniques to design optimal convolutional neural networks for automotive pattern recognition tasks.