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 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.
Ford has progressively expanded its AI adoption from interactive installations in 2018 to investing over $2.7 billion in autonomous driving technologies, including the creation of the subsidiary Latitude AI for hands-free driving systems and partnerships from Argo AI, showing a notable drive towards advanced AI-powered vehicle automation.
Tesla has progressively integrated AI technologies across its automotive and manufacturing operations from 2021 to 2025, focusing on vision-based autonomy (Autopilot, Full Self-Driving) and AI-driven robotics, including the Optimus humanoid robot and Cybercab robotaxi concepts.
Stellantis has markedly increased its adoption of artificial intelligence technologies between 2021 and 2025, transitioning from ambitions of €20 billion connected-tech revenue by 2030 to deep enterprise-wide AI integration, especially through partnerships with AI firms like CloudMade in 2024 and Mistral AI in 2025.
Toyota began exploring AI in 2015 with initiatives in factory scheduling, traffic management, and logistics, progressively expanding into venture investments and advanced AI research.
Honda has progressively integrated AI across its vehicle technologies, manufacturing, patent portfolio analysis, and marketing from 2018 through 2025, culminating in advanced AI-driven EVs and autonomous driving systems.
BMW has progressively integrated AI across manufacturing, quality control, and customer experience from 2020 to 2025, notably deploying generative AI and intelligent systems in vehicle assembly and defect detection, improving efficiency and quality significantly.
Mercedes-Benz has progressively integrated AI and generative AI technologies across manufacturing, in-car infotainment, virtual assistants, and customer experience since 2023, with increasing sophistication culminating in hyper-personalized, agentic AI within their newest vehicles by mid-2025.
Hyundai Motor Group has progressively invested heavily in AI, advancing from improving transmission systems (Q1 2020) to establishing AI research institutes and partnerships (notably with Boston Dynamics in Q3 2022 and Nvidia in Q1 2025) and deploying AI across manufacturing, mobility, autonomy, and customer experience.
Rivian has steadily increased its integration of AI across vehicle manufacturing, autonomous driving, and user experience from Q2 2024 through Q4 2025, highlighted by the planned AI voice assistant launch in 2025 and the opening of a dedicated AI and autonomous driving hub in London in Q3 2025.
58 Use Cases in Automotive
| Company | Use Case |
|---|---|
| Ford | Augmented Reality Support Ford’s service technicians use AI augmented reality tools to receive enhanced guidance and diagnostics, improving service quality amid labor shortages. generative |
| Tesla | Energy Optimization Tesla applies AI control systems to optimize energy consumption in Gigafactories by managing HVAC systems and processes, resulting in substantial energy savings and enhanced factory sustainability. traditional |
| Ford | Quality Control Ford employs AI-based visual inspection systems and AI cameras in manufacturing plants to detect defects in real time, reducing costly recalls and warranty expenses. traditional |
| Rivian | Quality Inspection Rivian uses AI-powered cameras and machine learning algorithms to meticulously inspect vehicle components for defects during production, ensuring high quality and reducing risk of failures. traditional |
| Hyundai | Mobility Ecosystem Establishment of public-private partnerships like Next Urban Mobility Alliance (NUMA) to develop AI-powered smart transportation and city infrastructure solutions. agentic |
| Toyota | Humanoid Robotics Joint research with Boston Dynamics led to AI-powered humanoid robots capable of advanced mobility and dexterity for deployment in unstructured and hazardous environments. agentic |
| General Motors | Customer Marketing GM utilizes AI to analyze customer data and optimize marketing efforts, reaching customers at the right time with personalized offers, particularly promoting electric vehicles. traditional |
| Tesla | Autonomous Driving Tesla uses AI algorithms to process real-time sensor data through its Full Self-Driving (FSD) and Autopilot systems, enabling autonomous navigation, decision making, and enhanced safety features in vehicles. agentic |
| Mercedes-Benz | Personalized Infotainment Using large language models and machine learning, Mercedes-Benz's MB.OS infotainment system adapts to user behavior and preferences providing personalized recommendations and proactive assistance enhancing driver comfort and engagement. agentic |
| BMW | Customer Interaction BMW's Intelligent Personal Assistant (IPA) leverages AI to enable more natural and intuitive communication with drivers, reducing support calls and dealership visits by proactively addressing vehicle issues. generative |