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
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.
Ford has steadily integrated AI from interactive marketing installations in 2018 to advanced AI-assisted quality control and manufacturing processes by 2025, culminating in AI assistants embedded in vehicles by 2026.
Tesla has progressively expanded the deployment of AI across vehicle autonomy, robotics, and factory operations from a foundational phase in 2021 with Tesla Vision and Autopilot toward advanced Full Self-Driving (FSD) and humanoid robots (Optimus) by 2025, guided by Elon Musk.
Stellantis has steadily increased its AI adoption from 2021 onwards, with key investments including the 2024 acquisition of CloudMade's AI technology and a strategic partnership with Mistral AI beginning in early 2025, aiming to integrate AI across vehicle UX, manufacturing, and enterprise operations.
Toyota has progressively expanded its AI initiatives from foundational research in 2015 to advanced applications in vehicle design, factory automation, and autonomous driving technologies by 2025.
Honda has progressively integrated AI from 2018 onwards, beginning with concept vehicles (NeuV) combining AI and robotics, evolving into AI-assisted patent portfolio management by 2019-2020, and advancing to real-world AI-powered safety and driving assistance technologies by 2021-2025.
BMW's AI implementation has evolved from initial automation of monotonous tasks and quality control in manufacturing (2020) to advanced generative AI solutions by 2025, including AI-powered manufacturing platforms like AIQX and AI-enhanced smart cockpits.
Mercedes-Benz has steadily integrated AI across manufacturing, user experience, and product development from late 2023 through early 2026, including advanced use of generative AI, humanoid robotics, and conversational AI assistants like MBUX. Notable figures include Markus Schäfer (CTO) and Magnus Östberg (Chief Software Officer).
Hyundai Motor Group has exhibited a strong and escalating adoption of AI technologies from 2020 through early 2026 across vehicle manufacturing, autonomous driving, robotics, smart city development, and AI-driven marketing and quality control, partnering extensively with leading AI and semiconductor firms like NVIDIA and Tenstorrent.
Rivian has progressively integrated AI technologies into vehicle design, manufacturing, and autonomous driving capabilities from 2024 through early 2026, culminating in the launch of proprietary AI chips and an AI-defined vehicle roadmap.
55 Use Cases in Automotive
| Company | Use Case |
|---|---|
| Hyundai | Robotics Autonomy Hyundai develops on-device AI chips and software ('Edge Brain') to enable real-time autonomous decision-making in manufacturing and service robots, enhancing human-robot collaboration. agentic |
| Honda | Road Maintenance By using vehicle-based sensors and AI to detect potholes and road hazards in real time, Honda supports proactive roadway maintenance, improving safety and reducing infrastructure risk. traditional |
| Ford | Customer Assistance Ford plans to integrate an AI assistant in vehicles by 2027, leveraging BlueCruise technology to provide personalized guidance and enhanced vehicle knowledge for drivers, improving user experience. generative |
| Rivian | Autonomous Driving Rivian employs AI and machine learning models to develop advanced driver-assistance systems and fully autonomous driving capabilities, utilizing vast real-world data, custom AI chips, and a next-gen autonomy platform to enable hands-free driving and improved vehicle safety. agentic |
| Rivian | Voice Assistant Rivian integrates AI-driven voice assistants within its R1T and R1S vehicles to enhance in-cabin user interaction, replacing traditional infotainment systems with personalized, context-aware AI assistants developed in-house. generative |
| Hyundai | Material Innovation Hyundai collaborates with AI startups like CuspAI to leverage artificial intelligence in accelerating development and optimization of advanced automotive materials. traditional |
| Rivian | Manufacturing Optimization Rivian uses AI-powered digital twins, quality control algorithms, and robotics automation via its Mind Robotics spinoff to reduce manufacturing costs, detect defects early, and improve production efficiency in its Illinois plants. traditional |
| Mercedes-Benz | Process Automation The automaker uses AI platforms like Celonis Process Intelligence to automate routine tasks and improve decision-making, resulting in better delivery performance and operational efficiencies. traditional |
| Toyota | Robotic Mobility Collaboration with Boston Dynamics produces AI-powered humanoid robots with advanced mobility and dexterity to perform complex or unsafe tasks, supporting automation beyond traditional manufacturing. agentic |
| General Motors | Autonomous Driving 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. agentic |