The world’s largest educational technology conference returned with a much stronger emphasis on artificial intelligence, reflecting how generative AI has reshaped conversations in education over the past few years. Unlike a few years ago, when AI barely featured on the agenda, the current edition is dominated by sessions, exhibits, and discussions about how AI tools can transform classrooms, learning experiences, and institutional strategies. The energy at the event has noticeably increased as educators, developers, and buyers converge to explore AI’s potential impact.
Attendees at the conference come from diverse roles across education — from school leaders and IT directors to venture capitalists and edtech innovators — all looking at how AI can improve teaching, streamline administrative tasks, or drive new learning models. What once felt like a quieter showcase of technology now feels bustling, with almost every stand promoting an AI-powered solution or claiming to offer “intelligent” transformation for learners and institutions. This surge in AI interest has made the event feel more like a marketplace of ideas and tools rather than just a traditional conference.
However, the sheer volume of AI-focused offerings also brings challenges. With so many claims about transformation and intelligence, attendees must be discerning about what really delivers educational value versus what is simply marketing hype. The conference program features a mix of keynote discussions, practical workshops, and debate sessions, all designed to help educators separate substantive innovation from overblown technology promises. There’s an emphasis on evidence of impact — not just flashy demonstrations.
Many sessions explore critical topics such as the ethical implications of AI in learning, how to support educators in becoming AI-ready, and whether AI really saves time or merely redistributes workload. By bringing together thought leaders, practitioners, and technology partners, the event aims to help the education community navigate the complex promise of AI — balancing optimism with practical, evidence-based strategies for its responsible use.
