AI @ Toyota
Summary
- Toyota began exploring AI in 2015 with initiatives in factory scheduling, traffic management, and logistics, progressively expanding into venture investments and advanced AI research.
- From 2022 onward, Toyota significantly advanced generative AI applications in vehicle design and autonomous driving, partnered with companies like NTT for large-scale AI platform investments, and launched internal AI training initiatives to accelerate AI and software capabilities.
- By 2025, Toyota integrated agentic generative AI agents collaboration for faster vehicle development, developed humanoid robotics with Boston Dynamics, and emphasized personalized driving experiences and sustainability, indicating strong AI adoption impacting design, manufacturing, and customer experience.
VIBE METER
6 AI Use Cases at Toyota
Humanoid Robotics2025
AI Talent Development2025
Collaborative Engineering2024
Autonomous Driving2023Customer Facing
Vehicle Design2023
Timeline
2025 Q4: no updates
2025 Q3
Toyota and Boston Dynamics jointly developed advanced AI-powered humanoid robots and expanded AI strategies focusing on human-centric design and robotics.
2025 Q2
Launch of Toyota Software Academy and Global AI Accelerator to develop AI and software talent and innovation inside Toyota Group.
2025 Q1: no updates
2024 Q4
Significant $3.3 billion joint investment announced with NTT for AI platform development and deployment of generative AI agents to accelerate design processes.
2024 Q3
Toyota recognized AI's potential to enhance vehicle safety, autonomous driving, driver experience, and environmental sustainability.
2024 Q2: no updates
2024 Q1
Toyota focused on AI ambitions targeting personalized driving experiences, improved safety, and sustainability goals.
2023 Q4
Showcased AI-assisted driving technologies emphasizing automated driving innovations and human-focused machine learning.
2023 Q3
Expanded use of generative AI tools in vehicle design and manufacturing led to faster design cycles and enhanced safety-oriented development processes.
2023 Q2
Introduction of novel generative AI techniques to enhance EV vehicle design incorporating engineering constraints.
2023 Q1
Toyota Research Institute highlighted human-centered AI efforts addressing aging, climate change, and human understanding.
2022 Q4: no updates
2022 Q3: no updates
2022 Q2
Toyota North America partnered with Invisible AI to improve factory operations with AI-enhanced decision making.
2022 Q1: no updates
2021 Q4
Emerging use cases of AI at Toyota were analyzed, focusing on innovative AI applications across business units.
2021 Q3: no updates
2021 Q2: no updates
2021 Q1: no updates
2020 Q4
Investment by Toyota AI Ventures in YPC Technologies marked continued support for AI startups with a part $1.8M seed round.
2020 Q3: no updates
2020 Q2: no updates
2020 Q1: no updates
2019 Q4: no updates
2019 Q3: no updates
2019 Q2: no updates
2019 Q1: no updates
2018 Q4: no updates
2018 Q3
Toyota AI Ventures launched a call for innovation to fund startups in AI, robotics, and autonomous mobility.
2018 Q2: no updates
2018 Q1: no updates
2017 Q4: no updates
2017 Q3: no updates
2017 Q2: no updates
2017 Q1: no updates
2016 Q4: no updates
2016 Q3: no updates
2016 Q2: no updates
2016 Q1: no updates
2015 Q4
Toyota established new AI research programs focusing on factory operations, car scheduling, and traffic management.