When Experience Stops Being Enough: The Research Question Titelbild

When Experience Stops Being Enough: The Research Question

When Experience Stops Being Enough: The Research Question

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Somewhere between thirty years of accumulated wisdom and the arrival of the completely new, a profession realizes it has a problem—not because anything broke, but because the world changed faster than the solution set could keep up. Artificial intelligence in trust decisions. Digital assets no one has safeguarded. Discretion over things that didn't exist when the rulebook was written. Experience, the entire operating system for how professionals have solved problems for generations, suddenly can't answer questions that have never been asked before.

In this episode of Invisible Threat, you'll explore with Dr. Matthew Eby and Joanne Eby the crucial distinction between knowledge that gets preserved and knowledge that must be created. Why do mature professions—medicine, engineering, accounting—eventually shift from gathering experienced practitioners to systematically investigating the unanswered? For the fiduciary world, the question is no longer whether that shift is necessary, but whether it's already overdue. You'll understand why institutions built to preserve what we know are fundamentally different from systems designed to discover what we don't.

Host Carter Wilcoxson has spent his career creating space for the profession to examine itself—to ask hard questions about fiduciary duty, discretionary decision-making, and institutional risk in ways that move beyond inherited frameworks. This conversation crystallizes why the fiduciary profession needs more than experience: it needs a systematic way to discover tomorrow's answers before yesterday's operating system runs out of answers altogether.

About the Guest: Dr. Matthew Eby and Joanne Eby bring complementary depth to this exploration—Matthew's research framework illuminating the gap between knowledge preservation and knowledge creation, and Joanne's decades navigating fiduciary complexities grounding these insights in the real constraints and possibilities of the field.

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