Release Date:
July 7, 2026
Release Date: July 7
Are your employees silently resisting your latest technology mandates, or are you accidentally destroying trust by throwing down executive edicts?
In this episode of the Learn-It-All™ podcast, Damon sits down with executive coach and change management expert Sue Bethanis to unpack why the AI economy demands a massive shift from traditional "change management" to high-empathy leadership. For 30 years, Sue has helped executive teams navigate monumental shifts, from the .com bust and the Great Recession to COVID-19 and now generative AI. She reveals why simply commanding workers to adopt tools like ChatGPT or Claude creates widespread anxiety and stalling, and explains why true productivity takes time, experimentation, and psychological safety.
Damon and Sue dive deep into what sets human leadership apart in a world where anyone can access the same data with the push of a button. You’ll discover how to move your team from functional users to fluent innovators by sharpening human-centric skills like taste, discernment, creative judgment, and deep design thinking.
Whether you are a risk-averse senior leader trying to protect your organization or a change agent pushing for rapid iteration, this conversation delivers actionable coaching frameworks to replace workplace tension with curiosity, grace, and meaningful connection.
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What You’ll Learn:
In This Episode:
About Sue Bethanis:
Sue Bethanis is the Founder and CEO of Mariposa Leadership, an elite executive coaching and leadership development firm celebrating its 30th anniversary. For three decades, Sue has coached top-tier executives at iconic Silicon Valley tech companies, including Apple, Yahoo, Pinterest, and Amazon, guiding them through massive economic and technological disruptions. Alongside tech veteran Ethan Evans, she co-teaches the highly acclaimed Maven course, "Cracking the C-Suite in the AI Economy," where she trains senior leaders to scale corporate culture, build executive presence, and act as strategic change agents.
Resources Referenced:
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