"2025 will be remembered as the year Learning and Development didn't just evolve-it accelerated. The rapid infusion of AI into learning workflows, the rise of learning engineering mindsets, and a renewed focus on measurable business impact reshaped how organizations design, deliver, and evaluate learning. Across industries, L&D teams found themselves at the intersection of design, data, and science, responsible not only for learning experiences but also for enabling performance, culture, and customer outcomes."
"As I reflect on the dozens of conversations, articles, and real-world projects I have worked on this year-from global onboarding to AI-powered personalization, performance thinking, and adaptive simulations-one message is clear: The future of L&D is no longer content-centric. It is data-driven, performance-anchored, and AI-augmented. Below is my year-end review of the biggest shifts in 2025-and what we must prepare for in 2026."
2025 accelerated L&D through deep AI integration across learning workflows. AI became the infrastructure layer, enabling adaptive onboarding, AI-powered simulations, knowledge assistants, and learning engineering ecosystems with data pipelines and feedback loops. L&D shifted from content-centric to data-driven, performance-anchored, and AI-augmented approaches. Teams now measure business impact and connect learning outcomes to performance, culture, and customer experiences. Learning Experience began informing Customer Experience as board-level strategy. The breakthroughs emphasized operational integration over flashy tools. Organizations must prepare for continued personalization, performance thinking, and scalable AI-enabled learning systems in 2026.
Read at eLearning Industry
Unable to calculate read time
Collection
[
|
...
]