Source: TechCrunch
Box's research reveals a concrete mismatch: C-suite leaders making AI automation decisions lack on-the-ground knowledge of actual workflows, leading to crude replacements that destroy context-specific expertise. The problem is organizational decision-making broken down by information asymmetry—the people closest to work get no input while the people furthest removed hold veto power. Companies that don't rebuild accountability mechanisms forcing executives to justify automation choices to teams doing the work will repeat this pattern across their operations.