What should you actually DO about AI as a leader right now? Not the hype, the real strategic decisions.

In this episode, Mike and Corey break down the most pressing question executives are facing: how do you build a genuine AI strategy when the technology is changing faster than your planning cycle, investors are breathing down your neck, and employees are already using AI tools you don't even know about?

We get into why cutting headcount is the wrong first move, what "shadow AI" in your organization is really telling you, and the unglamorous data work that separates companies who will win with AI from those who won't.
What we cover:
— Why the "cut first, figure it out later" approach is organizationally dangerous
— The MIT vs. Wharton AI adoption research and what the gap tells us
— "Management by Magazine" — and why investor pressure is driving bad AI decisions
— Why your data house has to come before your AI strategy
— Shadow AI: what to do when employees are already using tools you haven't approved
— The career opportunity hiding inside the AI disruption (for employees at every level)
— Why you should never get married to a single AI tool or vendor
— The regulatory fragmentation coming for multinationals and the fiduciary risk already here in financial services
If you're an executive, operator, or anyone trying to lead through the AI moment without just reacting to headlines, this one is for you.
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