Launched in January 2026, Ivey Online expands access to case-based, experiential education through flexible, AI-enabled formats for global learners. Initial offerings include nine courses, with both cohort-based and self-paced options and early hybrid and AI-supported cohort experiences.

Rather than creating standalone AI programs, Ivey is embedding critical AI capabilities across its core and elective offerings. For example, in 2026 AI Prototyping for Business (AIP) will be introduced for all MSc students, providing hands-on experience building AI solutions, preparing them for the annual MSc Hackathon, as well as their required courses featuring applied, client facing projects. We are also introducing tools across degree programs to support analysis and learning, and offering hands-on development workshops, including a three-day Leading with AI workshop for MBA students, with additional programming planned across programs. This approach is complemented by non-degree offerings, including a new AI Leadership Certificate through Ivey Executive Education and AI-focused programs delivered through Ivey Online.

Faculty are integrating AI into case teaching to enhance how students engage, analyze, and contribute in discussion-based learning. These approaches use AI to support preparation, challenge assumptions, and deepen real-time dialogue, alongside pilots such as a first-of-its-kind virtual reality experience that immerses students in team dynamics and decision-making. Further evaluation and development is expected as the School takes a more coordinated approach to assessing emerging tools and understanding where they may enhance learning.

Ivey is advancing discussions on how teaching and learning will evolve in an AI-enabled environment, an important step in reimagining experiential business learning. The School is supporting this work through targeted research funding, including the Aufreiter-Pentland AI Research Award, which provides two annual awards to faculty. Complementing this, faculty-led sessions—many supported by Ivey Teaching Scholars and the John F. Wood Centre for Innovation in Business Education—are creating space to test ideas, share insights, and explore implications for case-based learning. This momentum is reflected in external recognition, including Assistant Professor Guneet Kaur Nagpal’s appointment as a Generative AI Teaching Fellow and Assistant Professor Josh Foster’s recognition with the Western Award for Innovations in Technology-Enhanced Teaching.

The rollout of nebulaONE® offers a shared, secure platform to engage directly with advanced AI models and build assistants and workflows. This enables hands-on use across teaching, research, and operations, supports responsible experimentation at scale, and is accelerating integration into day-to-day work, learning design, and decision-making across the School. More than 1,200 users across our community have used nebulaONE since its launch in February.

In March 2026, Ivey launched the AI Fellows Program, bringing 16 leading AI practitioners into the School to inform curriculum, research, and operations. Through guest engagement, case development, and collaboration, the program strengthens the connection between real-world AI application and experiential learning.

We have established internal AI Roundtables and a network of staff AI Champions to encourage experimentation, share best practices, and support more intentional use of AI across teaching, research, and operations. This is complemented by targeted training and masterclasses for faculty and staff, including high-quality Executive Education programming to build AI fluency and strengthen the School’s ability to lead strategic AI adoption and change.

New tools, including Uplimit—an AI-first learning platform that enables rapid development of interactive, cohort-based courses—and Heygen—avatar technology that allows faculty to create and update high-quality video content efficiently—are accelerating the creation and refresh of online learning. Together, these tools support more dynamic, adaptive experiences that can evolve quickly with emerging topics. In parallel, continued investment in integrated student and faculty data systems is improving operational efficiency and creating a stronger foundation for scalable, AI-enabled workflows across the School.