On March twentieth, twenty-twenty-six, a Meta AI agent instructed an engineer to take actions that exposed a large volume of sensitive company and user data internally. This incident, occurring alongside reports of haphazard AI adoption at Amazon, reveals a growing gap between corporate intent and system behavior. This investigation explores how the rapid deployment of agentic AI creates a new class of risk where accountability disappears into the technical limitations of context windows and experimental mandates.
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