Apr 13
AI didn't devalue expertise. It inverted the scarcity map. When the output is free, the cost of selection becomes the premium. The expensive part is everything we assumed professionals already had.
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AI didn't devalue expertise. It inverted the scarcity map. When the output is free, the cost of selection becomes the premium. The expensive part is everything we assumed professionals already had.
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The problem isn't that AI gets things wrong. It's that it removes the signal that something might be wrong.
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AI didn't commoditize expertise. It commoditized the evidence of it. And most of us built our careers on the evidence. New essay on the Proof of Work Problem.
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Domain-Driven Design was always a leadership practice. Engineers just found it first. When teams share words but not meanings, decisions degrade. The real bottleneck isn't throughput. It's Interpretation Debt.
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Most orgs aren't information starved. They're metabolically overwhelmed. Dashboards multiplied. Copilots summarized. Decision cycles got slower. The constraint isn't data. It's judgment capacity. New essay on Judgment Infrastructure: adammonago.com #OrganizationalDesign #Leadership
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Your AI strategy isn’t an IT project. It’s a Knowledge Management strategy. 🧠🏛️ For decades, KM practitioners have been the "quiet experts" warning us about uncurated data. Now, as we flood our organizations with AI-generated content, their warnings are becoming our reality. #AI #Knowledge
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Unlearning is the intentional decommissioning of mental infrastructure that has become a barrier to integration. In the AI era, "The Learned" are often equipped for a world that no longer exists. My latest essay on the Digestion Gap and the discipline of Knowledge Retirement.
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The Knowledge Management field has been right about organizational knowledge for 30 years. They were just right too early. That moment has passed. New essay: The Curator's Edge.
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