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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

Jul 23, 2026
Jul 23, 2026
40 min
Summary
In this conversation, Jason Gorman talks with Anand Shekhar and Ram Iyer, co-founders of ClaraLearn, a workforce intelligence platform built on a thesis that runs against the grain: the global talent crisis is not a skills shortage but a clarity shortage. Anand and Ram explain how AI is collapsing both the skills and scarcity that have historically determined professional value. They walk through their model for helping professionals discover their identity beyond job titles, explore adjacent career paths without starting from scratch, and retain what they learn rather than just consuming content. The conversation also covers why learning must be treated as infrastructure rather than a cost center, how critical thinking and domain knowledge are becoming the real differentiators, and why governments and institutions need to step in as the pace of disruption accelerates.
Takeaways
- The talent crisis is a clarity problem, not a skills shortage.
- Professional value has always been a function of skills and scarcity, and AI is collapsing both.
- Your professional identity is a spectrum of capabilities, not a job title.
- Critical thinking and domain knowledge are the skills AI cannot replicate.
- Retention of learning matters more than consumption of content.
- Exploration should build on existing skills rather than starting from scratch.
- Learning must be treated as organizational infrastructure, not a cost line.
- Personalization is the missing layer in most learning experiences today.
- Governments, enterprises, and institutions must collaborate to reduce professional anxiety.
- Realizing your human potential is the most durable response to any disruption.

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