AI Expo Nagoya 2026: Archival Conference Streaming
The highly anticipated AI Expo Nagoya 2026 took place on June 16-17, 2026, at the Nagoya Convention Hall, marking the first major AI-focused event in the Tokai region. Organized by AIsmiley, a leading AI portal media company based in Shibuya, Tokyo, this event brought together over 60 participating companies and 30 speakers to showcase the latest in AI technology and applications.
The conference was designed to shift the focus of AI from mere information collection to practical implementation in the manufacturing sector. With a remarkable turnout of 6,453 attendees—double our initial goal—this event provided critical insights and practical experiences for business professionals eager to embrace AI integration in their processes.
Highlights from the Expo
Attendees had the opportunity to engage with over 100 innovative AI solutions, focusing on prevalent industry challenges such as predictive maintenance, automation, and skill transfer in manufacturing settings. Not only did visitors gather information, but many actively sought specific guidance on how to integrate these advanced technologies into their existing operations.
The exhibition hall was buzzing with activity as early arrivals flocked to various booths. Particularly notable was the spirited interest in enhancing inspection processes and predictive maintenance solutions. Live demonstrations of humanoid robots and AI smart glasses offered a firsthand look at how “Physical AI” can transform real-world operations.
A new “Startup Zone” introduced at the Expo attracted many visitors seeking fresh technologies, further enhancing the lively atmosphere of discovery.
Conference Sessions
Over the course of the conference, more than 36 industry leaders took to the stage to present on various critical topics. Keynote discussions included local companies such as Okaya Steel Works and Nagoya Bank sharing their AI implementation experiences, as well as cutting-edge projects from Sawai Pharmaceutical, highlighting the effective use of AI agents. The focus on