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The Learning Culture Podcast

The Learning Culture Podcast

De : Andrew Barry
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Join your host Andrew Barry, the Founder and CEO of Curious Lion, as he interviews learning leaders practicing the cultivation of Learning Culture; experts who tease out critical theoretical components of this idea; and shares learning nuggets from real-world experiences, and our own research and writing.By following along, you’ll learn:• How a shared vision sets the tone for a Learning Culture. • How shared assumptions determine our current reality. • How shared stories foster commitment to a Learning Culture. • How shared experiences, or Cohort Learning Experiences to be specific, instill the practice of a Learning Culture.Stay curious, my friends.© 2026 The Learning Culture Podcast
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    Épisodes
    • #120 - Ian Stevens on Building an AI-Ready Culture
      Jan 26 2026

      When your people complete the mandated AI training but nothing changes, you don't have a tool problem; you have a culture problem.

      As Director of L&D at Publicis Sapient, Ian Stevens watched mandates and endless emails fail to drive the engagement, adoption, or completions they needed.

      The breakthrough came when they stopped teaching tools and started building mindsets. Ian reveals their secret weapon, the AI Caravan: 60-minute demos fueled by beer and pizza that brought record numbers into the office voluntarily.

      He explains why people need to evolve from writers to editors, why adaptability and judgment matter more than technical skills, and how widening the guardrails unlocked momentum. Most importantly, Ian shows how transformation happens with people, not to them.

      If you're tired of the "hurry up and wait" approach to AI adoption, this episode reveals how to build a culture where experimentation beats prescription every time.

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      38 min
    • #119 - Cameron Hedrick on How AI Unlocks What Makes Us Human
      Dec 8 2025

      What happens when the context you're preparing leaders for no longer exists by the time they get there? After seven years as Chief Learning Officer at Citibank building talent systems, Cameron Hedrick sees the cracks in how we predict potential.

      In this conversation, Cameron reveals why mastery beats potential when everything is constantly emerging, why humans excel at inference with small data while AI needs millions of data points, and how self-knowing becomes the foundation for navigating what's next.

      He introduces his Prompt to Polymath framework, mapping our journey from basic augmentation to a world where your digital twin pre-flights conversations while you orchestrate outcomes across humans, agents, and proxies.

      From hiring people with scars to narrating learning in motion, Cameron shares why machines may calculate faster, but they don't rise stronger from failure and why that distinction matters more than ever.

      If you're still running quarterly talent reviews in static nine-boxes, this conversation will fundamentally challenge how you think about developing capability that endures.

      HIGH POTENTIAL (for what?!)

      New MIT Sloan research suggests that AI is more likely to complement, not replace, human workers | MIT Sloan

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      52 min
    • #118 - Why ICs Needs to Think Like Managers in the AI Era
      Dec 1 2025

      What happens when AI agents become your direct reports?

      Becky Karsh, VP of Talent and Growth at F5, believes we're approaching a fundamental shift: individual contributors won't just complete tasks, they'll manage multiple AI agents to achieve outcomes.

      In this episode, Becky reveals why delegation, work design, and crystal-clear communication are becoming essential IC skills, not nice-to-have manager competencies. She explains why "if you do something more than once, that should be an agent" and makes the case that the future belongs to ICs who think like architects, not just builders. From T-shaped careers to bringing your own OKRs to development programs, Becky maps out the new playbook for IC success.

      If you're wondering whether AI will replace your job, Becky has a different question: are you ready to manage the AI that will amplify your impact?

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      38 min
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