Thomas Lah welcomes social psychologist Sarah DiMuccio to talk about the human side of AI transformation. They dig into why AI adoption triggers anxiety across every role, seniority level, and demographic: it isn't resistance to a task, it's a threat to how people see themselves professionally. Sarah explains that companies are investing heavily in AI technology while investing almost nothing in enablement, treating adoption as something that happens automatically once the tool is switched on rather than a genuine redesign of how people work. That gap shows up as “quiet checkout,” a form of disengagement Sarah argues is more damaging than outright sabotage because it's invisible to leadership and never gets addressed.

The conversation turns to what actually builds trust and follow-through: naming the fear directly instead of talking around it, leaders modeling experimentation in front of their teams, and co-creating AI use cases with employees rather than imposing them from the top down. Sarah introduces her framework for future-ready leadership, a Venn diagram of AI fluency, strategic agility, and relational intelligence, arguing that leaders missing the relational piece may retain talent short-term through “golden handcuffs,” but they lose the honesty, experimentation, and judgment that AI-era competitiveness actually depends on.

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