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💲Making Money — Chapter Six — With AI: Role Clarity — SETUP & EXPECTATIONS — KNOWING WHEN NOT TO USE AI

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  💲 Making Money — Chapter Six — With AI: Role Clarity — SETUP & EXPECTATIONS — KNOWING WHEN NOT TO USE AI 💲 Not Every Decision Should Be Automated Chapter Five established ownership: outcomes belong to humans, not tools. This chapter defines a different kind of discipline — restraint. AI can assist thinking. AI can expand visibility. AI can accelerate analysis. But there are moments where using AI at all introduces unnecessary risk. Knowing when not to use AI is not anti-technology. It’s maturity. Especially when money, legality, or trust are involved. AI Is an Advisor, Not an Authority AI works by pattern recognition, probability, and approximation. That makes it powerful — and dangerous — in the wrong role. AI can: summarize options compare scenarios surface blind spots But AI cannot: hold liability feel risk exposure understand lived consequences When AI shifts from assistant to authority , judgment quietly disappears. And judgment is the only thing standing betwe...

💲Making Money With AI — Chapter 5 — STEP 3 — OWNERSHIP, OUTCOMES, & CONSEQUENCES

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  💲 Making Money With AI The Right Way — Chapter Five 💲 STEP 3 — OWNERSHIP, OUTCOMES, & CONSEQUENCES Responsibility Does Not Transfer to the Tool Chapter Four established limits: revenue does not equal legitimacy, and integrity determines durability. This chapter moves one layer deeper — into the part most people try to avoid. AI can assist. AI can accelerate. AI can suggest. But AI cannot absorb responsibility. In the AI economy , one of the most dangerous narratives is also one of the most convenient: “The AI did it.” It didn’t. You did. If Chapter Four was about building systems that deserve trust, Chapter Five is about accepting that every outcome produced by AI-mediated work still belongs to a human being . There is no ethical handoff . You Are Responsible for Outcomes AI can suggest strategies, pricing ideas, funnels, copy, workflows, or automation. But you decide: what gets deployed how it’s framed who it’s sold to what expectations are set Blaming AI for bad decision...