🔒Leader's Dispatch: The One Thing AI Can’t Buy 💔—And Why Leaders Are Losing It 🚨
Leader's Dispatch Volume 6
Top of the Series: 🔒Leader's Dispatch: Has OpenAI Lost Its Strategic Edge? (Windsurf AI ☢️Fallout🧨)
Previous: 🔒Leader's Dispatch: Is GPT-5 Dead on Arrival?!?
Leaders, Stop Chasing Models — Start Keeping People
🎬 Cold Open / Hook
“Forget GPUs — try finding a developer who still trusts them.”
84% now use AI tools, but only 29–33% still trust the outputs, down from 43% just a year ago
⚔️ The Setup: The Real Battlefield
AI hype has shifted the conversation to GPUs, models, and benchmarks.
A GPU (graphics processing unit) is a specialized computer chip that was originally designed to render images and video quickly, but today is also used to run AI and data-heavy tasks much faster than a regular CPU
But leaders know the real war is for scarce talent. Engineers, designers, and managers who trust the system are harder to keep than GPUs are to buy.
Context callback: connects to Vol. 3’s “trust erosion” theme and Vol. 4’s “rehumanization” thread.
When the Overloaded Leader can’t delegate to qualified people, they become frayed around the edges like baseball cards
💡 Key Leadership Problems (Framed for Subscribers)
The Overloaded Leader
Problem: Constant turnover and disengagement because AI tools waste more time than they save.
Example: Developers spending 66% more time debugging “almost right” AI code.
Takeaway: Don’t throw AI at the backlog — foster trust. Build workflows where human judgment is final, not optional.
The Overlooked Teammate
Problem: They feel like replaceable parts in an AI machine.
Example: Companies rehiring humans after AI missteps (Klarna, IBM, McDonald’s).
Takeaway: Signal that people aren’t optional. Build a “Cyborg Team” model — bots assist, humans decide. Even ChatGPT, Gemini, M365 Copilot agree: no AI should ever act as judge, jury, and executioner without human oversight.
The Overlooked Teammate: invisible in meetings, indispensable in crises
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