While nearly 90% of organizations have implemented artificial intelligence (AI) in workplace learning over the last 1-2 years; most haven’t scaled it enterprise-wide. Why does content creation remain the primary use case, even as expectations for AI continue to rise? Why do early efforts often stall, fail to scale or create more work instead of less?

This session focuses on where AI delivers real value in learning design, delivery and performance support — and where it introduces new risks, governance challenges and quality concerns. Drawing on research, this webinar examines the views, experiences and challenges of L&D managers from leading global enterprises — including operational barriers and what separates scalable AI adoption from stalled experimentation.

Join Dr Brett Bligh, senior lecturer at the University of Lancaster, UK, and Dr RK Prasad, CEO and co-founder of CommLab India, as they share research-backed insights on the potential of AI that L&D leaders can use to make smarter decisions about where AI fits in their learning strategy.

In this session, you’ll get practical answers to questions such as:

• Where AI is delivering measurable value in corporate training — and where it’s falling short
• What skills, roles and infrastructure L&D teams need to support AI responsibly
• How organizations are handling governance, quality control and human oversight
• The most common barriers slowing adoption — and how teams are addressing them
• What realistic next steps look like for L&D teams moving beyond experimentation