Companies often misuse AI in three familiar ways: by tracking surface-level adoption instead of real business results, by automating tasks without rethinking what people’s jobs should become, and by relying on AI output before doing their own thinking. It says logging into a tool or sending more prompts does not matter if work is not actually getting faster, better, or cheaper. It also warns that simply handing old responsibilities to AI can leave people stuck reviewing machine output instead of moving into higher-value work that needs judgment and creativity. The biggest risk, the piece says, is treating AI like an oracle, because that can weaken independent thinking and flatten the quality of decisions over time. Overall, the message is that AI only creates real gains when organizations redesign workflows and roles around it, instead of layering it onto the same old habits

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