When Machines Make the Incompetent More Confident

Appearing Productive in The Workplace A meaningful share of my current role has become sitting across from account directors and go-to-market leads who arrive with AI-generated projects and argue them. What they are proposing, in most cases, is a dashboard or website that displays the status of a process that is not ready to be automated, built to track a workflow that does not yet warrant tracking. The tool has not solved a problem; it has driven its user to identify a problem worth solving, outlined an architecture for the solution, and produced enough material — diagrams, schemas, interface mockups — that the user arrives in the room convinced the work is real. My job is to explain, carefully, why the logic is flawed: why the process they have outlined is either a non-problem or a premature one, why the architecture the model produced is a plausible shape of a system rather than a system plan, why the confidence they feel is the model’s confidence and not their own. They do not…

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