"We're not at full agentic AI yet-the point where AI autonomously curates, builds, deploys, and optimizes learning experiences end-to-end-but the path is clear. And the journey matters just as much as the destination. Ryan Macpherson explores how Coassemble's development is rooted in proven learning design principles, ensuring that as AI becomes more capable, it delivers not just faster content, but smarter, more impactful knowledge."
"Justin Seeley from Adobe discusses the key components of seamless learning experiences, how blended learning can help organizations increase the effectiveness of L&D, and how traditional LMSs have evolved into LXPs. David James from 360Learning speaks with us about how performance-driven L&D differs from the traditional learning mindset, emerging skills that are essential for practitioners, and the L&D Performance Academy."
AI in learning remains non-agentic but shows a clear trajectory toward more autonomous capabilities while relying on proven learning design principles to deliver smarter outcomes. Measuring organizational culture aligns training with business outcomes and prevents toxic environments from undermining L&D efforts. Seamless learning experiences and blended learning increase effectiveness while learning management systems evolve into learning experience platforms. Performance-driven L&D requires a different mindset and new practitioner skills, supported by initiatives like performance academies. Scenario-based learning and AI feedback can build confidence at scale for large workforces in real-world implementations.
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