A recent incident highlighted the potential dangers of AI in intelligence analysis when a US analyst used an AI chatbot to review intelligence on a Chinese vessel. The chatbot hallucinated, incorrectly identifying components aboard the ship as nuclear weapons parts bound for Iran. This false intelligence triggered high alert within the Pentagon, initiating plans for a special forces boarding operation. The imminent military action was only halted when officials discovered the intelligence report's reliance on AI, which had misidentified the cargo. This near-miss demonstrated how AI-generated errors could lead to catastrophic geopolitical blunders. The situation was particularly concerning as the US is increasingly integrating AI into its defense and intelligence operations. Experts warn that such incidents, stemming from over-reliance on AI, are likely to occur more frequently. This reliance extends beyond intelligence analysis to areas like target selection and logistics. Another incident involved F-35 parts being shipped to Hong Kong, raising concerns of Chinese access to classified technology. The article suggests a generational trend of intelligence analysts making critical errors due to AI dependence. These events underscore the urgent need for robust oversight and validation of AI-generated intelligence.