The article explores memory as an emerging critical frontier in AI development and competition. As AI systems become more sophisticated, efficient memory architecture and management are increasingly becoming key differentiators between AI providers—similar to how compute power and training data have been previous battlegrounds. This matters for SMEs building AI applications, as memory efficiency directly impacts inference costs, latency, and scalability of AI solutions.