THE NORM REPORT PODCAST
AI is changing who leaders are.
Psychology and economics for CEOs, board members, and senior executives navigating the AI era. Every episode takes a clear position, backs it with data, and applies named frameworks to the questions leadership teams avoid.
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AI is not just changing what leaders do. It is changing who they are.
The Norm Report is a podcast for CEOs, board members, and senior executives navigating the psychology and economics of the AI era. Each episode takes a clear position, backs it with data, and applies named frameworks to the questions leadership teams avoid: identity, judgment, relevance, trust, and the human cost of scaling AI.
Hosted by Norm E. Murray. Go deeper at normemurray.com.
Most leaders believe their people are excited about AI. Most employees say the opposite. The distance between those two realities is not a communications issue. It is an operational risk, a culture fracture, and a psychological blind spot that is quietly sabotaging AI strategy.
A 2024 Boston Consulting Group study found that 71 percent of executives describe their workforce as AI-positive, while only 31 percent of employees agree. Over half of employees feel excluded from AI decision-making, even in companies that claim strong transformation cultures.
The gap is not caused by incompetence. It is caused by confidence, impatience, and the illusion of clarity at the top. Leaders are moving faster than the organization’s emotional infrastructure can absorb, so the team sees disruption, the executive sees progress, and nobody notices they are walking in different directions until the strategy breaks.
In Episode 34 of The Norm Report, the Psycho-Technology Series, Norm Murray examines how the illusion of alignment derails AI transformation, and what executives must do immediately to close the gap.
Go deeper at normemurray.com.
The questions leadership teams avoid
Identity. Who are you as a leader when AI does the work you built your career on?
Judgment. What happens to executive decision-making when a model is always in the room?
Relevance and trust. How do leaders stay credible to teams that are watching them adapt in real time?
The human cost. What does scaling AI really ask of the people who carry it out?