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 steadily expanded and matured its AI capabilities from 2021 through 2025, progressing from advanced AI system licensing (MENNDL) to implementing AI across manufacturing, supply chain, vehicle safety, and customer experience, with significant hiring including Barak Turovsky as Chief AI Officer in early 2025.
Ford has rapidly escalated its AI adoption from interactive public installations in 2018 to fully integrating AI in manufacturing, quality control, and autonomous vehicle development by 2025, with key projects like Latitude AI and AI-driven quality inspection systems.
Tesla has consistently increased its investment and deployment of AI technologies across multiple domains from 2021 through 2025, including autonomous driving systems (Autopilot, Full Self-Driving), humanoid robots (Optimus Bot), and AI-driven manufacturing processes and factory sustainability.
Stellantis has demonstrated a clear increasing adoption of AI technologies from 2021 through 2025, evolving from ambitious revenue goals tied to AI and connected tech to widespread integration across manufacturing, vehicle development, and customer experience.
Toyota has progressively integrated AI from 2015 onward, starting with foundational research and AI venture investments, moving toward advanced applications such as generative AI in vehicle design, AI-assisted driving technology, and AI-powered factory systems by 2025.
Honda has progressively integrated AI technologies into vehicle safety, autonomous driving, patent portfolio management, and marketing from 2018 through 2025, showing a clear trajectory from exploratory use to advanced agentic AI systems in autonomous vehicles and customer engagement.
BMW has progressively integrated AI technologies across manufacturing, quality control, and vehicle customer experience from 2020 through 2025, showing an increasing trend in AI adoption and maturity.
Mercedes-Benz has progressively integrated AI technologies from traditional machine learning to generative and agentic AI across manufacturing, user interfaces, and customer experience, demonstrating a marked increase in AI adoption from 2023 to 2025.
Hyundai Motor Group has progressively increased its AI adoption from early transmission optimization in 2020 to large-scale AI-driven factory automation and urban mobility ecosystems by 2025, partnering with key industry leaders like NVIDIA and expanding R&D globally with entities like Boston Dynamics and CoMo China.
Rivian has steadily increased its AI integration primarily focusing on autonomous driving, in-cabin AI experiences, and vehicle software, with key advancements each quarter from Q2 2024 through Q4 2025 including new AI hubs and strategic partnerships.
57 Use Cases in Automotive
| Company | Use Case |
|---|---|
| Rivian | Industrial Robotics With the Mind Robotics spinoff, Rivian is deploying AI-enabled robots to automate logistics, manufacturing, and operational workflows in industrial settings, aiming to enhance efficiency and reshape conventional factory operations. agentic |
| Mercedes-Benz | Process Intelligence Employing AI-driven process intelligence platforms like Celonis, Mercedes-Benz improves operational decision-making and logistics, resulting in improved on-time delivery performance and reduced operational risks. traditional |
| Hyundai | AI-Driven Driving Assistant Hyundai's Hyundai AI Assistant integrated in vehicles like the IONIQ 9 leverages generative AI to personalize and enhance the driving experience with voice and contextual awareness. generative |
| Stellantis | Enterprise AI Integration Stellantis is amplifying company-wide AI adoption by embedding generative AI across manufacturing, engineering, and customer engagement to improve operational efficiency and responsiveness. generative |
| Ford | Augmented Reality Ford deploys AI-powered augmented reality systems to assist service technicians working on trucks, enhancing repair efficiency especially amid labor shortages. generative |
| General Motors | Autonomous Driving GM targets eyes-off driving capability by 2028 through advanced AI integration including new conversational AI and centralized computing platforms in vehicles such as the Cadillac ESCALADE IQ to enhance autonomy and driver assistance. agentic |
| Hyundai | Smart City Mobility Hyundai leads the Next Urban Mobility Alliance (NUMA) to develop AI-powered autonomous mobility services and inclusive transportation ecosystems to enhance urban living. agentic |
| BMW | Product Development AI streamlines BMW's new vehicle development process, shrinking lead times for new model creation and accelerating innovation cycles substantially. agentic |
| BMW | Quality Control BMW uses AI to perform advanced quality control by analyzing vehicle assembly and identifying defects before human inspectors, reducing vehicle defects by up to 60% and increasing reliability. traditional |
| Toyota | Manufacturing Optimization Toyota has deployed AI-powered platforms in factories to enable workers to create and deploy machine learning models easily, improving efficiency and reducing labor hours significantly. traditional |