In this critical analysis of the new algorithmic battlespace, we explore how Geospatial AI and scaling failures are driving catastrophic military targeting errors. Prompted by the tragic civilian strike in Minab, Iran, this article dissects the fatal intersection of Defense Intelligence Agency (DIA) database rot, the outdated Modernized Integrated Database (MIDB), and automated kill chains. Discover how the military's aggressive push for AI target generation has fundamentally broken the "human-in-the-loop" safeguard, reducing traditional intelligence vetting to an illusion of oversight. By examining the psychological toll of cognitive offloading and automated bureaucracy, we reveal why overwhelming human analysts with algorithmic output doesn't just risk mass civilian casualties and fratricide, it weaponizes administrative failure.