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Your company didn’t hit an “AI limit.” It hit a human limit. We walk through the real-world generative AI workplace: sales teams quietly building rogue features, HR teams dealing with a new kind of cognitive exhaustion, and executives sending polished messages that sound empathetic but create distance from reality. The big twist is that the AI tools are often working exactly as designed, and that’s the problem. They amplify whatever leadership system they get plugged into.

We dig into research on AI productivity and why so many gains vanish into rework, editing, and verification. Then we unpack Boston Consulting Group’s term “AI brain fry,” a measurable cognitive overload state tied to decision fatigue and major mistakes, hitting hardest in text-heavy functions like marketing and HR. If you’ve been stuck in a loop of prompting, checking, and re-prompting, you’ll recognize the pattern instantly.

From there, we zoom out to leadership: the taxes of bad leadership, the trust tax that turns curiosity into threats, the alignment tax that fuels vibe coding, and the product slop that appears when teams skip discovery because AI makes delivery feel instant. We also confront the collapse of middle management, the loss of the translation layer, and what disasters like Zillow’s algorithmic overreach reveal about context and accountability. Finally, we explore a hopeful counterintuitive idea: AI as executive coach, “algorithmic humility,” and why taste and judgment may become the most valuable professional skills in the AI era. If this made you rethink how generative AI should be deployed, subscribe, share with a leader on your team, and leave a review. What part of AI adoption is causing the most friction where you work?

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