AI is everywhere in L&D, yet many teams still struggle to answer basic questions. Are we behind or ahead? What are the top AI use cases? And increasingly, the biggest question of all: What does all of this mean for how L&D can continue to add value?

This session brings fresh clarity through the first U.S. presentation of the 2026 AI in L&D Report, released just weeks before DevLearn. Based on global survey data from hundreds of organizations and case studies of industry-leading implementations, it offers rare evidence and data on how the industry is navigating the AI transformation.

You will see concrete examples of how L&D teams are using AI across creative development, operations, analytics, and strategy, and what differentiates organizations that are getting the most value from their AI use. We'll see how AI is reshaping organizational learning, with new operating models emerging alongside traditional approaches. Learn about distinct paths emerging across the industry, from incremental optimization to structural transformation and gain practical clarity on what is achievable now and what is needed to move forward. Throughout the session, you will use structured reflection prompts to benchmark your organization against the global patterns and identify your most important next moves.

In this session, you will learn:

• How AI adoption in L&D has evolved over the past year
• Where your own organization’s AI use sits relative to industry patterns and how to benchmark your current approach
• Specific, practical ways L&D teams are using AI today across design, content development, operations, analytics and strategy, including examples you can apply immediately
• What emerging patterns reveal about how the role and structure of L&D is changing, and what this means for the decisions, capabilities, and shifts required to move forward

This session does not require or teach technical expertise or hands-on proficiency. However, it does not cover foundational AI concepts, so attendees should be familiar with the basics of generative AI and have at least tried tools such as ChatGPT, Copilot, or Claude.