Researchers forced Claude, GPT, Gemini, and Kimi to play Civilization VI to completion. What they discovered exposes a terrifying blind spot in modern AI. Playing a massive 4X strategy game to the end requires something entirely different: long-haul execution. Juggling economics, science, military, and diplomacy across hundreds of turns. The goal was to see how AI handles multi-step complexity. Instead, they watched the models repeatedly implode due to two bizarre psychological flaws. Flaw number one: Total situational blindness. In one-third of the games the AIs lost, an enemy was actively marching toward an obvious victory right in front of them. The data was sitting right there. The model simply failed to look. Flaw number two: Severe organizational ADHD. The AIs were great at making grand strategic lists. They would meticulously write down: "Next step, build a city." Then, 10 turns later, they completely forgot they wrote it and did nothing. The researchers realized this isn't a lack of raw intelligence. It’s an allocation failure. We assume that if an AI can ace a math test, it can manage a complex, multi-day project. It can't. When tasks stretch across a long horizon, the model's internal attention drifts. It loses the thread of its own intentions. It drops long-term goals for immediate noise. Everyone is racing to hand over complex workflows, financial portfolios, and autonomous operations to AI agents. We think the bottleneck is making them smarter. but no. The bottleneck is making them remember what they were doing ten minutes ago.