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The Learning Experience Ops Show is a series of real conversations with the people building and running the systems that make learning work—across higher education, K–12, healthcare, clean energy, corporate L&D, and beyond.
Each episode explores how learning teams are adapting to massive change: what’s working, what’s breaking, and what’s next. Guests share their strategies, tools, and stories from the front lines of Learning Experience Operations (LX Ops)—the evolving discipline where design, technology, and organizational systems meet.
At its core, the show is about one big idea: learning gets better when it’s built on a clear, repeatable process that’s ready for whatever comes next.
The Learning Experience Ops Show is a series of real conversations with the people building and running the systems that make learning work—across higher education, K–12, healthcare, clean energy, corporate L&D, and beyond.
Each episode explores how learning teams are adapting to massive change: what’s working, what’s breaking, and what’s next. Guests share their strategies, tools, and stories from the front lines of Learning Experience Operations (LX Ops)—the evolving discipline where design, technology, and organizational systems meet.
At its core, the show is about one big idea: learning gets better when it’s built on a clear, repeatable process that’s ready for whatever comes next.
Episodes

Monday Jun 08, 2026
Monday Jun 08, 2026
Summary
In this conversation, Jason Gorman and Adarsh Lathika explore what happens to human capability when AI starts doing more of the thinking. Adarsh, a strategy and learning systems practitioner, introduces concepts like the shadow curriculum, cognitive debt, and the Anatomy of Work framework to explain how learners and employees are increasingly bypassing formal learning systems and building their own AI-powered solutions. They discuss why institutions and employers are losing relevance as learning providers, how prioritizing speed and output over depth is eroding foundational skills, and why human biology, judgment, and context are becoming the true competitive advantages in an AI-first world. Adarsh also unpacks three major shifts reshaping the field: from institutions to individuals, from courses to systems, and from knowledge to judgment.
Takeaways
- Learners are building their own AI-powered learning tools outside formal systems.
- Knowledge is now abundant and instant; judgment is the real differentiator.
- AI is shortcutting the repetitive work that historically built domain expertise.
- Junior professionals are losing the chance to develop intuition through experience.
- Prioritizing speed and output creates only superficial skill development.
- Employees no longer trust that organizations are invested in their growth.
- L&D must shift from curating courses to building self-sustaining learning systems.
- Human biology, discipline, and habits outside work directly affect workplace performance.
- Transparency between employers and employees is essential to navigating this transition.
- Institutions must become places where cognitive and behavioral skills are built, not just credentials earned.

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