Scaling Learning with AI: From Experimentation to Everyday Practice - Stephen King

As AI capabilities rapidly expand, learning teams are moving beyond experimentation and beginning to embed these tools into the core of how learning is designed, delivered, and scaled.

In this session, Stephen King shares how his organization is using AI to extend the reach of learning programs while maintaining quality, relevance, and alignment with business needs. Drawing on real-world experience, he explores where AI is creating meaningful leverage, where human judgment still matters most, and how learning teams are navigating the shift from pilot projects to operational impact.

This session offers a grounded look at what it takes to scale learning responsibly and effectively in an AI-enabled environment.

Key Topics Include:

• Practical ways AI is being used to scale learning programs today
• Lessons learned from moving beyond pilots and proofs of concept
• Balancing automation with human expertise and oversight
• Common challenges learning teams face when operationalizing AI
• What scalable, AI-enabled learning models mean for the future of L&D