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 integrated AI technologies from 2021 through 2025, evolving from AI system licensing (MENNDL) for pattern recognition to advanced collaborations with NVIDIA and Google for autonomous vehicle perception, manufacturing automation, and next-gen vehicle development.
Ford has progressively integrated AI across various aspects of its operations since 2018, evolving from interactive AI installations to advanced autonomous vehicle development with the creation of Latitude AI and integration of over 550 experts from Argo AI.
Tesla has progressively expanded its use of AI from initial developments in computer vision chips and autonomous driving algorithms (2021) to a broad integration across vehicle autonomy, factory sustainability, and humanoid robots (2024-2025).
Stellantis has progressively increased its adoption of artificial intelligence technologies from 2021 through 2025, with significant investments such as the acquisition of CloudMade's AI framework in Q1 2024 and expanding partnerships with Mistral AI in Q1 2025 to drive innovation in vehicle development, personalized mobility, and manufacturing efficiency.
Toyota has progressively integrated AI from foundational research in 2015 to advanced generative AI applications for vehicle design by 2023, with key figures like AI Chief Brian Kursar leading recent initiatives.
Honda has progressively integrated AI from experimental vehicle concepts in 2018 to advanced AI-powered driver assistance and autonomous driving technologies by 2025, including AI chips and Level 3 autonomous systems.
BMW has steadily expanded AI integration from initial manufacturing quality controls in 2020 to advanced AI-enhanced vehicle assembly, digital art generation, and smart cockpits by 2025, collaborating with partners such as Alibaba and DeepSeek.
Mercedes-Benz has significantly increased its AI adoption across production, user experience, and vehicle intelligence from late 2023 to mid-2025, leveraging advanced AI technologies including generative AI, machine learning, and large language models like ChatGPT and Google Gemini.
Hyundai has progressively expanded its AI adoption from improving automatic transmission systems in 2020 to establishing advanced AI research institutes and strategic investments in AI semiconductor firms by 2023, including collaborations with NVIDIA and Boston Dynamics.
Rivian has progressively integrated artificial intelligence into its electric vehicles and manufacturing processes since early 2024, focusing heavily on autonomous driving and enhanced in-cabin experiences using traditional and generative AI technologies.
54 Use Cases in Automotive
| Company | Use Case |
|---|---|
| Toyota | Humanoid Robotics In partnership with Boston Dynamics, Toyota Research Institute developed AI-powered humanoid robots with advanced mobility and dexterity aimed at automating tasks in unstructured or unsafe environments. agentic |
| Tesla | Energy Management AI controls HVAC and energy systems in Tesla’s Gigafactories, processing sensor data and modeling system dynamics to minimize energy use, contributing to factory sustainability and operational efficiency. traditional |
| Tesla | Factory Optimization AI-driven computer vision and control systems are used in Tesla's manufacturing plants for robotic assembly, predictive maintenance, HVAC energy optimization, and sustainability improvements, reducing operational costs and energy consumption. agentic |
| Tesla | Autonomous Driving Tesla uses AI algorithms processing real-time sensor data and vision-based inputs to enable its Autopilot and Full Self-Driving (FSD) capabilities, improving vehicle autonomy and safety on roads. agentic |
| Rivian | Software Development Rivian collaborates with Volkswagen and invests in AI talent to co-develop advanced EV software leveraging AI for smarter vehicle operations and autonomous capabilities. traditional |
| Mercedes-Benz | Personalized Infotainment AI tailors the MB.OS infotainment system to adapt to driver preferences by leveraging behavioral AI and contextual memory, creating hyper-personalized, proactive experiences for safety and comfort. agentic |
| Hyundai | Autonomous Driving Hyundai advances Level 2 autonomous driving technology using AI deep learning based on sensor fusion and real-time decision-making. agentic |
| General Motors | Production Optimization GM uses AI and machine learning to analyze real-time data from manufacturing lines, enabling dynamic adjustments to production processes that increase efficiency and reduce waste. agentic |
| Hyundai | AI Manufacturing Introduction of minimally manned, AI-powered factories leveraging robotic automation and AI vision systems to enhance production efficiency. agentic |
| BMW | Predictive Maintenance BMW employs AI to forecast and proactively address assembly line disruptions, improving efficiency at high-production plants and ensuring consistent vehicle output every 57 seconds. traditional |