As AI systems move from tools to primary decision-makers across critical domains—from hiring to healthcare to criminal justice—institutions are increasingly acknowledging that they cannot fully explain, predict, or control algorithmic outcomes. Rather than asserting control through transparency or regulation, organizations are surrendering to the black-box logic of these systems, accepting opaque decision-making as the operational default.