-
The efficiency paradox: Why adaptive AI must rescue learning from abundance
The real breakthrough of AI is not velocity. It is the ability to be adaptive, continually adjusting to the needs of individual employees.
-
SHINE in the age of agentic AI: The human operating system behind enterprise transformation
AI transformation is not a technology project. It is a leadership, talent, teaming and behavior project. The SHINE framework can help leaders prepare their organizations for the era of human-AI teaming by defining the conditions teams require to work effectively with intelligent systems.
-
The Top 5 Webinars of 2025
The conversations shaping the future of learning, leadership and AI.
-
Tech check: Why I built Lenny, the Llama Chat™—and why every learning team needs one
Designing AI that elevates people.
-
Beyond the bot: How AI and UX design are creating smarter learning organizations
How CLOs can harness bidirectional learning between humans and AI to revolutionize workplace development.
-
Reinvent or rust: The learning leader’s guide to AI maturity
The learning function has reached a critical juncture where incremental progress isn’t sufficient. The challenge is to reimagine L&D’s fundamental purpose — shifting from a reactive service to a proactive force that drives organizational capability. An AI maturity model offers a diagnostic tool to evaluate organizational readiness while charting a path forward.
-
Reskilling in the age of AI: Shifting from risk to resilience
CLOs have an important role in guiding the next wave of skills transformation and championing an AI-ready workforce.
-
AI in 2025: The Turning Point for Learning & Development
A new report explores how AI is moving from trend to transformation — and what today’s CLOs must do to lead the shift.


















