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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

2 days ago
2 days ago
Summary
In this conversation, Jason Gorman and James Altman unpack the findings of the JLX Future Skills Survey, which asked 197 learning professionals across six regions and multiple sectors to rate nine skills on how important they believe each will be in the next three years. The results revealed three statistically distinct tiers, with learning strategy and design thinking at the top alongside AI tools and stakeholder influence, while traditional staples like LMS authoring tools and content development landed at the bottom. James walks through the methodology, the debates around the term "learning professional," and the surprising gaps between what practitioners value and what they believe their employers value, particularly around storytelling and data analysis. They also discuss the wide spectrum of AI adoption in the field, the qualitative responses that read as a general indictment of a profession without a roadmap, and the early vision for a cross-sector skills roadmap for learning professionals.
Takeaways
- Durable skills dominated the top tier over purely technical ones.
- Learning strategy and design thinking rated highest across all respondents.
- AI tools ranked high but couldn't be statistically separated from durable skills.
- LMS authoring tools and content development fell to the bottom tier.
- Professionals value storytelling far more than they believe their employers do.
- Employers are perceived to prioritize data analysis and reporting over narrative.
- 44% named something AI-related as the top competency, but that number hides enormous variation.
- Judgment appeared constantly in open responses alongside AI.
- The qualitative data reads as a profession-wide indictment of having no clear roadmap.
- Cross-sector collaboration is essential to building a shared skills framework.

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