Artificial Intelligence in Automotive Companies
We analyzed the enterprise AI use cases of 10 automotive companies to understand trends, impact, and insights.
Automotive companies' adoption of AI
Overview
General Motors (GM) has progressively expanded AI applications from research collaborations in 2021 to comprehensive integration across manufacturing, supply chain, vehicle software, and customer experience by 2025, including the appointment of Barak Turovsky as Chief AI Officer in early 2025.
Ford has progressively integrated AI technologies from interactive customer installations in 2018 to advanced AI agents for automotive design and manufacturing innovation by 2025, indicating a strong increasing adoption trend.
Tesla has been progressively advancing its AI capabilities from 2021 through 2025, with an increasing integration of AI in vehicle autonomy (Autopilot and Full Self-Driving), robotics (Optimus humanoid robots), and factory automation, achieving significant milestones in AI-driven manufacturing and energy efficiency.
Stellantis has shown a strong and accelerating adoption of AI technologies from 2021 through 2025, focusing on connected vehicle tech, manufacturing efficiency, and in-car experiences. Notable milestones include the acquisition of CloudMade's AI tech in early 2024 and an expanded partnership with Mistral AI in 2025.
Toyota has progressively expanded its adoption of AI since 2015, evolving from foundational AI research and venture investments to deploying advanced generative AI for vehicle design, AI-assisted driving technology, and robot development by 2025.
Honda has progressively integrated AI from conceptual vehicle designs like the NeuV in 2018 to advanced AI-enabled autonomous driving and personalized EV experiences by 2025, including partnerships such as with Helm.ai and investments to enhance driving assistance and safety.
BMW has steadily increased AI adoption from 2020 through 2025, expanding from manufacturing process automation and quality control to advanced generative AI and AI-powered customer experience features in models like the iX and 5 Series.
Mercedes-Benz has rapidly advanced its AI integration from 2023 through 2025, emphasizing generative AI applications such as the MBUX Virtual Assistant enhanced by ChatGPT and Google Cloud partnerships, improving customer interaction and infotainment system capabilities.
Hyundai Motor Group has progressively integrated AI across multiple facets—from vehicle transmission optimization in 2020 to advanced in-car AI systems and AI-driven manufacturing by 2025—partnering with leaders like NVIDIA and investing $50 million in AI semiconductor firm Tenstorrent.
From Q2 2024 through Q4 2025, Rivian has demonstrated an accelerating integration and leadership in AI technologies across vehicle design, manufacturing, autonomous driving, and infotainment, including developing proprietary AI chips and launching an AI and robotics spinoff backed with $115M funding.
58 Use Cases in Automotive
| Company | Use Case |
|---|---|
| Rivian | AI Chip Rivian developed a custom in-house AI silicon chip to improve processing efficiency and performance of autonomous driving features, replacing reliance on Nvidia technology. traditional |
| Hyundai | Material Innovation AI technologies accelerate development of new materials enhancing vehicle performance and sustainability through partnership with CuspAI. traditional |
| Hyundai | AI Factory Collaboration with NVIDIA and Korean government to establish an AI factory deploying 50,000 Blackwell GPUs to advance AI-driven mobility and manufacturing. agentic |
| Rivian | Industrial Robotics Through its Mind Robotics spinoff, Rivian applies AI and robotics to factories and logistics, driving automation to increase manufacturing efficiency and operational agility. agentic |
| General Motors | Vehicle Safety AI is used extensively to improve vehicle software safety through continuous testing and enhanced driver assistance systems, as well as plan autonomous driving technologies aiming for 'eyes-off' driving by 2028. agentic |
| Stellantis | AI integration Stellantis and Mistral AI are scaling company-wide AI adoption, embedding generative AI technologies across vehicle engineering, manufacturing, and customer experience to accelerate innovation and operational efficiency. agentic |
| Rivian | Quality Control Rivian employs AI-powered visual inspection systems to detect defects in manufacturing components, enhancing consistency and reducing errors in the production of electric vehicles like the R1T and R1S. traditional |
| Hyundai | Urban Mobility NUMA initiative uses AI and autonomous technologies to develop smart, inclusive urban transportation and mobility services. agentic |
| Toyota | Robotic Automation Collaborations with Boston Dynamics and in-house robotics research have led to development of AI-powered humanoid robots capable of performing complex tasks in unstructured and hazardous environments to support manufacturing and logistics. agentic |
| Tesla | Energy Optimization AI systems control HVAC and energy-intensive processes across Tesla Gigafactories using sensor data and model-based control actions to reduce power consumption and improve sustainability in factory operations. traditional |