In this episode, MIT Research Scientist Dr. Bryan Reimer and CADIA CEO Cheryl Thompson return to unpack the mindset, cultural conditions, and trust-building habits that determine whether AI becomes a true competitive advantage or just another stalled initiative. They share practical ways to begin using AI, what leaders must unlearn, and why culture—not technology—is the real deciding factor in whether AI succeeds inside an organization.
If your team is unsure how to take the next step, this conversation gives you clarity, structure, and the confidence to move forward.
Episode Highlights:
00:00 – Why AI remains urgent and why many still feel unsure where to start
01:08 – Cheryl on trust and the culture required for AI
02:35 – Cheryl’s AI “wow” moment and resetting control
04:06 – Bryan on LLMs as useful copilots, not autopilots
07:18 – Human in the Loop: treating AI as an opinion
09:47 – Practical starting points for using AI
11:14 – Moving past summaries into real transformation
14:00 – Why leaders must stop throwing AI to IT
16:33 – Culture and unlearning: legacy processes slow AI
18:58 – How unclear culture creates fear and confusion
20:52 – Generational differences in AI trust
23:03 – Delegation vs collaboration with AI
26:43 – Why AI fails without human judgment and trust
32:18 – Capturing organizational knowledge with AI
34:29 – Final advice for leaders ready to advance AI
You don’t need to have everything figured out. You just need to start. Subscribe and learn how to use AI in a way that fits your team, your culture, and your leadership style.
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